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The Cochrane Database of Systematic Reviews logoLink to The Cochrane Database of Systematic Reviews
. 2021 Feb 23;2021(2):CD003610. doi: 10.1002/14651858.CD003610.pub4

Antibiotics for secondary prevention of coronary heart disease

Naqash J Sethi 1,, Sanam Safi 1, Steven Kwasi Korang 1, Asbjørn Hróbjartsson 2,3, Maria Skoog 1,4, Christian Gluud 1,5,6, Janus C Jakobsen 1,5,6
Editor: Cochrane Heart Group
PMCID: PMC8094925  PMID: 33704780

Abstract

Background

Coronary heart disease is the leading cause of mortality worldwide with approximately 7.4 million deaths each year. People with established coronary heart disease have a high risk of subsequent cardiovascular events including myocardial infarction, stroke, and cardiovascular death. Antibiotics might prevent such outcomes due to their antibacterial, antiinflammatory, and antioxidative effects. However, a randomised clinical trial and several observational studies have suggested that antibiotics may increase the risk of cardiovascular events and mortality. Furthermore, several non‐Cochrane Reviews, that are now outdated, have assessed the effects of antibiotics for coronary heart disease and have shown conflicting results. No previous systematic review using Cochrane methodology has assessed the effects of antibiotics for coronary heart disease.

Objectives

We assessed the benefits and harms of antibiotics compared with placebo or no intervention for the secondary prevention of coronary heart disease.

Search methods

We searched CENTRAL, MEDLINE, Embase, LILACS, SCI‐EXPANDED, and BIOSIS in December 2019 in order to identify relevant trials. Additionally, we searched TRIP, Google Scholar, and nine trial registries in December 2019. We also contacted 11 pharmaceutical companies and searched the reference lists of included trials, previous systematic reviews, and other types of reviews.

Selection criteria

Randomised clinical trials assessing the effects of antibiotics versus placebo or no intervention for secondary prevention of coronary heart disease in adult participants (≥18 years). Trials were included irrespective of setting, blinding, publication status, publication year, language, and reporting of our outcomes.

Data collection and analysis

Three review authors independently extracted data. Our primary outcomes were all‐cause mortality, serious adverse event according to the International Conference on Harmonization ‐ Good Clinical Practice (ICH‐GCP), and quality of life. Our secondary outcomes were cardiovascular mortality, myocardial infarction, stroke, and sudden cardiac death. Our primary time point of interest was at maximum follow‐up. Additionally, we extracted outcome data at 24±6 months follow‐up. We assessed the risks of systematic errors using Cochrane 'Rosk of bias' tool. We calculated risk ratios (RRs) with 95% confidence intervals (CIs) for dichotomous outcomes. We calculated absolute risk reduction (ARR) or increase (ARI) and number needed to treat for an additional beneficial outcome (NNTB) or for an additional harmful outcome (NNTH) if the outcome result showed a beneficial or harmful effect, respectively. The certainty of the body of evidence was assessed by GRADE.

Main results

We included 38 trials randomising a total of 26,638 participants (mean age 61.6 years), with 23/38 trials reporting data on 26,078 participants that could be meta‐analysed. Three trials were at low risk of bias and the 35 remaining trials were at high risk of bias. Trials assessing the effects of macrolides (28 trials; 22,059 participants) and quinolones (two trials; 4162 participants) contributed with the vast majority of the data.

Meta‐analyses at maximum follow‐up showed that antibiotics versus placebo or no intervention seemed to increase the risk of all‐cause mortality (RR 1.06; 95% CI 0.99 to 1.13; P = 0.07; I2 = 0%; ARI 0.48%; NNTH 208; 25,774 participants; 20 trials; high certainty of evidence), stroke (RR 1.14; 95% CI 1.00 to 1.29; P = 0.04; I2 = 0%; ARI 0.73%; NNTH 138; 14,774 participants; 9 trials; high certainty of evidence), and probably also cardiovascular mortality (RR 1.11; 95% CI 0.98 to 1.25; P = 0.11; I2= 0%; 4674 participants; 2 trials; moderate certainty of evidence). Little to no difference was observed when assessing the risk of myocardial infarction (RR 0.95; 95% CI 0.88 to 1.03; P = 0.23; I2 = 0%; 25,523 participants; 17 trials; high certainty of evidence). No evidence of a difference was observed when assessing sudden cardiac death (RR 1.08; 95% CI 0.90 to 1.31; P = 0.41; I2 = 0%; 4520 participants; 2 trials; moderate certainty of evidence).

Meta‐analyses at 24±6 months follow‐up showed that antibiotics versus placebo or no intervention increased the risk of all‐cause mortality (RR 1.25; 95% CI 1.06 to 1.48; P = 0.007; I2 = 0%; ARI 1.26%; NNTH 79 (95% CI 335 to 42); 9517 participants; 6 trials; high certainty of evidence), cardiovascular mortality (RR 1.50; 95% CI 1.17 to 1.91; P = 0.001; I2 = 0%; ARI 1.12%; NNTH 89 (95% CI 261 to 49); 9044 participants; 5 trials; high certainty of evidence), and probably also sudden cardiac death (RR 1.77; 95% CI 1.28 to 2.44; P = 0.0005; I2 = 0%; ARI 1.9%; NNTH 53 (95% CI 145 to 28); 4520 participants; 2 trials; moderate certainty of evidence). No evidence of a difference was observed when assessing the risk of myocardial infarction (RR 0.95; 95% CI 0.82 to 1.11; P = 0.53; I2 = 43%; 9457 participants; 5 trials; moderate certainty of evidence) and stroke (RR 1.17; 95% CI 0.90 to 1.52; P = 0.24; I2 = 0%; 9457 participants; 5 trials; high certainty of evidence).

Meta‐analyses of trials at low risk of bias differed from the overall analyses when assessing cardiovascular mortality at maximum follow‐up. For all other outcomes, meta‐analyses of trials at low risk of bias did not differ from the overall analyses.

None of the trials specifically assessed serious adverse event according to ICH‐GCP.

No data were found on quality of life.

Authors' conclusions

Our present review indicates that antibiotics (macrolides or quinolones) for secondary prevention of coronary heart disease seem harmful when assessing the risk of all‐cause mortality, cardiovascular mortality, and stroke at maximum follow‐up and all‐cause mortality, cardiovascular mortality, and sudden cardiac death at 24±6 months follow‐up. Current evidence does, therefore, not support the clinical use of macrolides and quinolones for the secondary prevention of coronary heart disease.

Future trials on the safety of macrolides or quinolones for the secondary prevention in patients with coronary heart disease do not seem ethical. In general, randomised clinical trials assessing the effects of antibiotics, especially macrolides and quinolones, need longer follow‐up so that late‐occurring adverse events can also be assessed.

Plain language summary

Benefits and harms of antibiotics for secondary prevention of coronary heart disease

Background

Coronary heart disease, also known as cardiovascular disease, is the leading cause of death worldwide with approximately 7.4 million deaths each year. Coronary heart disease is caused by decreased blood supply to the heart. The severity of the disease ranges from chest pain during exercise to heart attack. Antibiotics might help patients with coronary heart disease and reduce their risk of heart attacks, strokes, chest pain, revascularisation procedures, and death. However, a randomised clinical trial and several observational studies suggested that antibiotics increased the risk of cardiovascular events and death.

Review question

The aim of this Cochrane systematic review was to assess the benefits and harms of antibiotics in adult patients with coronary heart disease.

We primarily assessed the benefits and harms at maximum follow‐up and secondly at 24±6 months follow‐up.

Study characteristics

We searched various scientific databases from their inception to December 2019 and found 38 trials where people with coronary heart disease were randomly allocated to antibiotics versus placebo or no intervention. The 38 trials included 26,638 adults with a mean age of 61.6 years. 23 out of the 38 trials reported data on 26,078 participants that could be analysed. The vast majority of the data was contributed by trials assessing the effects of macrolide antibiotics (28 trials; 22,059 participants) and quinolone antibiotics (two trials; 4162 participants), while insufficient data were contributed by trials assessing the effects of tetracycline antibiotics (eight trials; 417 participants). Three trials were at low risk of bias and the remaining trials were at high risk of bias.

Key results and conclusion

Patients receiving antibiotics (macrolide antibiotics or quinolone antibiotics) compared with patients receiving placebo or no intervention seemed at a slightly higher risk of death from all causes, death from a cardiac cause, and having a stroke at maximum follow‐up. Moreover, a slightly higher risk was also observed when assessing death from all causes, death from a cardiac cause, and sudden death from a cardiac cause at 24±6 months follow‐up. None of the trials sufficiently reported the number of participants with serious adverse events. No data were provided on quality of life.

Future trials on the safety of macrolide antibiotics or quinolone antibiotics for the secondary prevention in adult patients with coronary heart disease do not seem ethical.

Summary of findings

Background

Description of the condition

Coronary heart disease is the collective term for a group of diseases consisting of stable angina, unstable angina, myocardial infarction, and sudden cardiac death (Wong 2014). Coronary heart disease is estimated to be the leading cause of death worldwide (WHO 2011; WHO 2016), and 15.5 million people in the USA alone suffer from coronary heart disease (Mozaffarian 2016). The World Health Organization (WHO) has estimated that 7.4 million people die each year globally because of coronary heart disease with over three quarters of the deaths occurring in low‐ and middle‐income countries (WHO 2011; WHO 2016). Coronary heart disease also has a significant impact on healthcare costs and accounts for approximately EUR 196 billion in Europe and USD 207.3 billion in the USA (Ferreira‐Gonzalez 2014; Mozaffarian 2016).

The pathogenesis of coronary heart disease is related to the narrowing or blockage of the coronary arteries supplying the heart with blood. This process is usually caused by build‐up of fatty material and plaque in the walls of the coronary arteries leading to atherosclerosis (Ross 1999; Libby 2010; Libby 2011; Ambrose 2015). Atherosclerosis is a chronic immune‐mediated inflammatory disease that usually develops over years, ultimately limiting perfusion to the heart, which may cause shortages of oxygen and glucose, leading to symptoms such as chest pain (angina) and shortness of breath (Ross 1999; Ambrose 2015).

People with established coronary heart disease have a high risk of subsequent cardiovascular events including cardiovascular death, myocardial infarction, and stroke (Smith 2011; WHO 2011; Eckel 2014; Piepoli 2016; Winkel 2015). Therapeutic lifestyle changes (e.g. increased physical activity; weight reduction; dietary modification; smoking cessation; and alcohol intake reduction) and adjunctive drug therapies (e.g. antithrombotic treatment; managing hypertension, diabetes, dyslipidaemia, and chronic kidney disease) are necessary to improve quality of life, reduce recurrent events and the need for revascularisation procedures, and improve survival (Smith 2011; WHO 2011; Eckel 2014; Piepoli 2016). Nonetheless, even complete adherence to the aforementioned therapies is reported to not completely eliminate the person's risk of subsequent cardiovascular events (Bertrand 2016). This residual risk may result, in part, from the failure of current therapies to efficiently address inflammation (Bertrand 2016).

Studies have shown that inflammation seems to be a predictor for the development and progression of atherosclerosis (Libby 2002; Kaptoge 2010; Lawson 2016) and the inflammatory process may be induced by stimuli from infectious agents (Mendall 1996; Rosenfeld 2011; Lawson 2016). The infectious agents might induce the inflammatory process by infecting vascular cells within the atheromatous plaque and consequently activating an innate immune response (Rosenfeld 2011). The activated innate immune response then contributes to the inflammation within the plaque (Rosenfeld 2011). Moreover, infectious agents may induce inflammation at non‐vascular places, which might lead to increased secretion of cytokines and other acute‐phase proteins. The cytokines and other acute‐phase proteins then add to the inflammation within the plaque (Rosenfeld 2011). Hence, an association between coronary heart disease and various infectious agents has been suggested and a number of studies have investigated the validity of this possible association.

Chlamydia pneumoniae (C pneumoniae) bacteria have been identified in atheromatous plaques (Shor 1992; Kuo 1993; Muhlestein 1996; Assar 2015; Pigarevskii 2015). Moreover, seroepidemiological studies (Saikku 1988; Thom 1991; Linnanmaki 1993; Kazar 2005; Romano Carratelli 2006; Sakurai‐Komada 2014) and a meta‐analysis of seroepidemiological studies (Danesh 1997) have all shown increased levels of C pneumoniae antibodies in people with coronary heart disease. In vivo studies and a meta‐analysis of observational studies have shown that C pneumoniae may contribute to atherosclerosis (Burnett 2001; Ezzahiri 2002; Ezzahiri 2003; Filardo 2015). Contrary to these findings, prospective seroepidemiological studies (Ridker 1999; Danesh 2000a; Danesh 2000b; Danesh 2002), retrospective seroepidemiological studies (Prasad 2002; Al‐Younes 2016), and meta‐analyses of seroepidemiological studies (Danesh 2000a; Danesh 2000b; Danesh 2002; Bloemenkamp 2003) did not show any association between C pneumoniae antibodies and coronary heart disease.

Porphyromonas gingivalis (P gingivalis) bacteria have also been identified in atheromatous plaques (Pucar 2007; Zaremba 2007; Gaetti‐Jardim 2009; Mahendra 2009). Moreover, studies have shown increased levels of antibodies or higher amount of oral bacterial burden of P gingivalis in people with coronary heart disease (Pussinen 2004; Renvert 2006; Gotsman 2007; Mahendra 2015). In vivo studies have shown that P gingivalis may contribute to atherosclerosis (Brodala 2005; Maekawa 2011). Contrary to these findings, retrospective studies (Spahr 2006; Pesonen 2009; Andriankaja 2011) and a prospective study (De Boer 2014) did not show any association between P gingivalis and coronary heart disease.

Helicobacter pylori (H pylori) is another infectious agent that might induce an inflammatory process and lead to coronary heart disease. The association between coronary heart disease and H pylori has been assessed in seroepidemiological studies (Mendall 1994; Lenzi 2006; Vcev 2007; Shmuely 2014; Matusiak 2016), a meta‐analysis of seroepidemiological studies (Danesh 1997), and meta‐analyses of prospective studies (Sun 2016; Jiang 2017). These studies have shown that infection with H pylori increases the risk of coronary heart disease. Contrary to these findings, prospective studies (Whincup 1996; Folsom 1998; Roivainen 2000; Zhu 2001; Zhu 2002; Jin 2007) and a meta‐analysis of seroepidemiological studies (Danesh 1998) did not show any association between H pylori and coronary heart disease.

A possible association between Escherichia coli (E coli) and cardiovascular disease has been investigated. However, a cohort study found that infection with E coli did not increase the risk of cardiovascular disease in the decade following infection (Hizo‐Abes 2013). Further, a seroepidemiological study did not show any association between E coli and coronary heart disease (Mahdi 2002).

According to the studies referred to, there are some findings speaking in favour of an association between various bacteria and coronary heart disease, but there are also a number of observations pointing against such associations. If, however, one could find an intervention that could cure the bacterial activity and this had a beneficial effect on the course of coronary heart disease, such an intervention could have very important effects on morbidity and mortality of coronary heart disease. Antibiotics could be such an intervention.

Description of the intervention

Antibiotics are antimicrobial drugs of chemical origin that treat and prevent bacterial infections by either killing or inhibiting the growth of the bacteria (Waksman 1947). Antibiotics can be classified based on their mechanism of action (bactericidal or bacteriostatic), bacterial spectrum (broad or narrow), and chemical structure (e.g. penicillins, macrolides, quinolones, or tetracyclines) (Berdy 2005). The optimal dose and duration of antibiotic therapy depends on various factors (e.g. the patient's immune status, the infecting agent, and the focus of infection) (Polk 1999).

Macrolides (e.g. azithromycin, clarithromycin, and erythromycin), quinolones (e.g. gatifloxacin and ciprofloxacin), and tetracyclines (e.g. doxycycline) have been the primary antibiotic classes used to investigate the effects of antibiotics as secondary prevention in people with coronary heart disease, presumably because C pneumoniae and H pylori are known to be sensitive to macrolides, quinolones, and tetracyclines (Chirgwin 1989; Malfertheiner 2007). Macrolides' mechanism of action is to inhibit the protein synthesis through binding to the 50S subunit of the ribosome (Gaynor 2003); quinolones' mechanism of action is to prevent bacterial DNA from unwinding and duplicating through targeting the bacterial type II topoisomerases, gyrase, and topoisomerase IV (Aldred 2014); and tetracyclines' mechanism of action is to inhibit protein synthesis by preventing the attachment of aminoacyl‐tRNA to the ribosomal acceptor site (Chopra 2001).

How the intervention might work

Antibiotics might prevent the development of coronary heart disease through antibacterial activity. In addition, animal studies and in‐vitro studies suggest that several classes of antibiotics (e.g. macrolides, tetracyclines, or quinolones) seem to exert anti‐inflammatory and anti‐oxidative effects, which might slow down the atherogenesis independently of any antibacterial effect (Anderson 1996; Rajagopalan 1996; Dalhoff 2003; Sapadin 2006; Steel 2012). However, the use of macrolides has been reported in both observational studies and in a randomised clinical trial to increase the risk of cardiovascular morbidity and mortality (see Why it is important to do this review). The increased risk of cardiovascular morbidity and mortality might be associated with macrolides' pro‐arrhythmic effects (i.e. QT prolongation) leading to torsades de pointes (polymorphic ventricular tachycardia in patients with a long QT interval) (Bril 2010). Further, in contrast to the findings in animal studies and in‐vitro studies, the use of macrolides might lead to an inflammatory cascade resulting in more vulnerable plaques that over time increase the risk of plaque rupture and, hence, leads to increased risk of cardiovascular events and mortality (Winkel 2011). The use of quinolones have also been associated with an increased risk of ventricular arrhythmias and cardiovascular death (Lapi 2012; Liu 2017), but these findings were not found in another study (Inghammar 2016). The risk of cardiovascular morbidity and mortality has not been adequately assessed for tetracyclines.

Why it is important to do this review

Coronary heart disease is the leading cause of death worldwide with about 7.4 million deaths each year (WHO 2011; WHO 2016). People with established coronary heart disease have a high risk of subsequent cardiovascular events including cardiovascular death, myocardial infarction, and stroke (Smith 2011; WHO 2011; Eckel 2014; Piepoli 2016). Prevention and management of the common risk factors for coronary heart disease are necessary to improve quality of life, reduce recurrent events and the need for revascularisation procedures, and improve survival (Smith 2011; WHO 2011; Eckel 2014; Piepoli 2016). Nonetheless, even complete adherence to the before‐mentioned therapies may not completely eliminate the person's risk of subsequent cardiovascular events (Bertrand 2016).

The use of antibiotics for secondary prevention of coronary heart disease is not mentioned in any guidelines, indicating that it is not conventional therapy (Fihn 2012; Montalescot 2013). However, a very large number of people with coronary heart disease receive antibiotics each year to treat proven or suspected bacterial infections. In the first instance, the antibiotics may help them. In the second instance, any adverse event may be as likely as any benefits. In both instances, we need to know the impact of antibiotic intervention on long‐term health.

The first trials that investigated the use of antibiotics for secondary prevention of coronary heart disease were published in the late 1990s. The trials compared macrolide versus placebo in people with coronary heart disease. The trials showed conflicting results (Gupta 1997; Anderson 1999; Torgano 1999; Gurfinkel 1999) and made clear the need for larger trials.

Several meta‐analyses of randomised clinical trials have assessed the effects of antibiotics for secondary prevention of coronary heart disease (Etminan 2004; Andraws 2005; Baker 2007; Gluud 2008). Etminan 2004 included nine trials with 12,032 participants; Andraws 2005 included 11 trials with 19,217 participants; and Baker 2007 included six trials with 13,778 participants. All of these reviews compared antibiotics versus placebo. None of the reviews showed any benefits or harms of antibiotic therapy for secondary prevention of coronary heart disease. Gluud 2008 included 17 trials with 25,271 participants comparing antibiotics versus placebo, and found a significantly increased relative risk of all‐cause mortality of 10% in the antibiotic group. Moreover, Gluud 2008 did a meta‐analysis of the three trials that reported more than two years' follow‐up (i.e. PROVE‐IT (Cannon 2005), ACES (Grayston 2005), and CLARICOR (Gluud 2008)) and showed a significantly increased relative risk of all‐cause mortality of 17% in the antibiotic group.

Cheng 2015 included 33 studies of various designs with 20,779,963 participants in a review comparing macrolides with or to placebo or no intervention. The review included any type of participant and did not focus on a specific infectious agent or disease. The authors of the review found no significant effect of macrolides on all‐cause mortality. However, the participants treated with macrolide had a significantly higher relative risk of sudden cardiac death of 152% and a higher relative risk of dying from cardiovascular problems of 31%.

Currently, no guidelines report whether antibiotics should be used or avoided as secondary prevention of coronary heart disease (Fihn 2012; Montalescot 2013). This might be because the use of antibiotic therapy for secondary prevention of coronary heart disease lost momentum a decade ago, possibly as a consequence of the majority of previous evidence showing no effects ‐ either beneficial or harmful. Nevertheless, the public‐health aspect of administration of antibiotics to people with coronary heart disease is not to be neglected. Furthermore, our preliminary literature search has identified several new trials that were not included in the former attempts to review the literature, and more trials may be identified during the literature search. Accordingly, the benefits and harms of antibiotics in people with coronary heart disease seem unclear based on current evidence. Furthermore, antibiotics, including macrolide, are commonly used interventions in people with coronary heart disease and any beneficial or harmful effects of administering antibiotics in this group of people is of urgent importance. The CLARICOR trial, as mentioned previously, showed that clarithromycin versus placebo for secondary prevention of coronary heart disease significantly increased the risk of death (Jespersen 2006; Gluud 2008; Winkel 2015). We, therefore, find it very important to investigate whether antibiotics have a beneficial, neutral, or harmful effect for secondary prevention of coronary heart disease.

No former relevant review has used Cochrane methodology and the GRADE approach to take into account both risks of random errors and risk of systematic errors (Higgins 2011a; Guyatt 2008). Therefore, it is still unclear whether antibiotics have a beneficial, neutral, or harmful effect for secondary prevention of coronary heart disease.

Objectives

We assessed the beneficial and harmful effects of antibiotics versus placebo or no intervention for the secondary prevention of coronary heart disease.

As a secondary objective, we assessed the effects of individual types of antibiotics versus placebo or no intervention for the secondary prevention of coronary heart disease.

Methods

Criteria for considering studies for this review

Types of studies

We included all randomised clinical trials assessing the beneficial and harmful effects of antibiotics for the secondary prevention of coronary heart disease irrespective of setting, blinding, publication status, publication year, language, and reporting of our outcomes.

Types of participants

We included adult participants (≥ 18 years) with any diagnosis of coronary heart disease, that is, acute myocardial infarction, previous myocardial infarction, unstable angina, or stable angina. We accepted the definitions used by the individual trialists. We included participants irrespective of sex and antibody status (e.g. for Cpneumoniae,H pylori, P gingivalis, or E coli).

We excluded trials including participants with any other cause of chronic inflammatory disease (e.g. lupus erythematosus, rheumatoid arthritis, ankylosing spondylitis, psoriatic arthritis, polymyositis/dermatomyositis, and inflammatory bowel disease). We only included trials that included a subset of eligible participants if separate data for the eligible participants were available or if the majority of participants (i.e. more than 80%) were eligible.

Types of interventions

We included all trials comparing antibiotics with either placebo or no intervention. We did not include trials comparing antibiotics with any active drug.

We accepted any type of antibiotic (e.g. azithromycin, clarithromycin, erythromycin, spiramycin, doxycycline, gatifloxacin, penicillin, amoxicillin, or metronidazole) as the experimental intervention, irrespective of dose, route of administration, or duration. We assessed the effects of the individual types of antibiotics in subgroup analyses.

We accepted any type of co‐intervention when such co‐intervention was intended to be delivered similarly to the antibiotics and the control group. We assumed that the effects of the co‐interventions would 'even out' in both groups so that the possible effects of the antibiotic would be reflected in the results. We did a check of co‐interventions after randomisation in both intervention groups and considered any major differences in our conclusions. As optimal medical therapy plays an important role for the secondary prevention of coronary heart disease, we performed a sensitivity analysis excluding trials with sub‐optimal medical therapy. Optimal medical therapy indicated at least one drug for angina/ischaemic relief (e.g. short‐acting nitrates, beta blockers, and calcium channel blockers) plus drugs for event prevention (e.g. aspirin, clopidogrel, statins, ACE inhibitors, and angiotensin receptor blockers) (Montalescot 2013).

Types of outcome measures

We extracted outcome data at two time points:

  • maximum follow‐up (the time point of primary interest);

  • 24±6 months follow‐up.

We chose 24±6 months follow‐up based on the Kaplan‐Meier curve made by Winkel 2015. We believed that 24±6 months follow‐up was long enough to show any possible secondary prevention effects of antibiotics. Furthermore, 24±6 months follow‐up was not so long that other factors, unrelated to the given trial but affecting the outcomes, might have decreased the statistical power, that is, that the results were 'diluted' by events unrelated to the trial.

Primary outcomes
  • All‐cause mortality.

  • Serious adverse event. We defined a serious adverse event as any untoward medical occurrence that resulted in death; was life‐threatening; required hospitalisation or prolongation of existing hospitalisation; resulted in persistent or significant disability; or jeopardised the patient (ICH‐GCP 1997). None of the trials specifically assessed serious adverse events according to this definition by ICH‐GCP. Instead, the trials either reported composites of several specific serious adverse events or one specific serious adverse event.

  • Quality of life measured on any valid continuous scale. None of the trials assessed quality of life.

Secondary outcomes

Definitions for secondary outcomes was according to the individual trialists.

  • Cardiovascular mortality.

  • Myocardial infarction.

  • Stroke.

  • Sudden cardiac death.

Additional post hoc outcomes

Definitions for the additional post hoc outcomes was according to the individual trialists.

  • Hospitalisation for any cause.

  • Revascularisation.

  • Unstable angina pectoris.

Search methods for identification of studies

Electronic searches

The following electronic databases were searched to identify reports of relevant randomised clinical trials on 9 December 2019.

  • Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library (2019, Issue 12 of 12)

  • Epub Ahead of Print, In‐Process & Other Non‐Indexed Citations, MEDLINE Daily and MEDLINE (Ovid, 1946 to 6 December 2019)

  • Embase (Ovid, 1980 to 2019 week 49)

  • SCI‐Expanded (Web of Science) (Clarivate Analytics, 1900 to 9 December 2019)

  • BIOSIS (Web of Science) (Clarivate Analytics, 1926 to 9 December 2019)

  • LILACS (Bireme, 1982 to 9 December 2019)

We adapted the preliminary search strategy for MEDLINE (Ovid) for use in the other databases. We applied the Cochrane sensitivity‐maximising RCT filter (Lefebvre 2011) to MEDLINE (Ovid) and adaptations of it to all the other databases, except CENTRAL. The search strategy can be found in Appendix 1.

We searched all databases from their inception to the present and we imposed no restriction on language of publication or publication status. We assessed non‐English language papers by asking individuals that fluently speak the language for help. We did not perform a separate search for adverse effects of antibiotics used for the treatment of coronary heart disease. We only considered the adverse effects described in the included trials.

Searching other resources

We searched the reference lists of included randomised clinical trials, previous systematic reviews, and other types of reviews for any unidentified randomised clinical trials. We contacted the authors of included randomised clinical trials for further information and we contacted the following major pharmaceutical companies by email asking them for any unpublished randomised clinical trials:

  • Merck & Co.;

  • Roche Holding AG;

  • Pfizer Inc.;

  • Novartis AG;

  • GlaxoSmithKline Plc;

  • AstraZeneca Plc;

  • Bristol-Myers Squibb Co.;

  • Sanofi-Aventis;

  • Abbott Laboratories;

  • Taisho Pharmaceutical; and

  • Pliva.

Furthermore, we searched the following databases for ongoing and unidentified randomised clinical trials on 25 December 2019:

  • Google Scholar;

  • The Turning Research into Practice (TRIP) Database;

  • ClinicalTrials.gov;

  • EU Clinical Trial Register;

  • Chinese Clinical Trial Registry (ChCTR);

  • International Standard Randomised Controlled Trial Number (ISRCTN) registry;

  • GSK Clinical Study Register;

  • Pan African Clinical Trials Registry (PACTR);

  • Australian New Zealand Clinical Trials Registry (ANZCTR);

  • Clinical Trials Registry - India (CTRI); and

  • the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) search portal.

We also examined relevant retraction statements and errata for included trials.

Data collection and analysis

We performed this review following the recommendations of Cochrane (Higgins 2011a). The analyses were performed using Review Manager 5.4.1 (RevMan 2020).

Selection of studies

Two review authors (NJS and SS) independently screened titles and abstracts for inclusion of all the potentially eligible trials. We coded all these studies as 'retrieve' (eligible or potentially eligible/unclear) or 'do not retrieve'. If there were any disagreements, a third review author were asked to arbitrate (JCJ). We retrieved the full‐text trial reports/publications and three review authors (NJS, SS, and SKK) independently screened the full‐text and identified trials for inclusion. Reasons for exclusion of the ineligible studies were reported (Excluded studies). We resolved any disagreement through discussion or, if required, we consulted a fourth person (JCJ). We identified and excluded duplicated and collated multiple reports of the same trial so that each trial rather than each report was the unit of interest in the review. We recorded the selection process in sufficient detail to complete a PRISMA flow diagram (Moher 2009) and 'Characteristics of excluded studies' table.

Data extraction and management

Three authors (NJS, SS, and SKK) extracted and validated data independently from included trials. Any disagreements concerning the extracted data were discussed between the three authors. If no agreement could be reached, a fourth author (JCJ) resolved the issue. In case of relevant data not being available, we contacted the trial authors.

We extracted the following data mentioned below.

Trial characteristics

Bias risk components (as defined below); trial design (parallel, factorial, or cross‐over); number of intervention arms; length of follow‐up; estimation of sample size; and inclusion and exclusion criteria.

Participant characteristics and diagnosis

Number of randomised participants; number of analysed participants; number of participants lost to follow‐up; age range (mean and median) and sex ratio; presence of cardiovascular risk factors (i.e. diabetes mellitus, hypertension, hyperlipidaemia, or smoking); and antibody status (i.e. for C pneumoniae, H pylori, P gingivalis, or E coli).

Intervention characteristics

Type of antibiotic; dose of antibiotic; duration of antibiotic therapy; and mode of administration.

Control characteristics

Placebo or no intervention.

Co‐intervention characteristics

Type of co‐intervention; dose of co‐intervention; duration of co‐intervention; and mode of administration.

Outcomes

We extracted all outcomes listed above from each randomised clinical trial, and we identified whether outcomes were incomplete or selectively reported according to the criteria described in Table 3.

1. Cochrane tool for assessing risk of bias.
Domain Description
Random sequence generation
  • Low risk: if sequence generation was achieved using computer random number generator or a random numbers table. Drawing lots, tossing a coin, shuffling cards, and throwing dice were also considered adequate if performed by an independent adjudicator.

  • Unclear risk: if the method of randomisation was not specified, but the trial was still presented as being randomised.

  • High risk: if the allocation sequence was not randomised or only quasi‐randomised. We excluded these trials.

Allocation concealment
  • Low risk: if the allocation of participants was performed by a central independent unit, on‐site locked computer, identical‐looking numbered sealed envelopes, drug bottles, or containers prepared by an independent pharmacist or investigator.

  • Uncertain risk: if the trial was classified as randomised but the allocation concealment process was not described.

  • High risk: if the allocation sequence was familiar to the investigators who assigned participants.

Blinding of participants and personnel
  • Low risk: if the participants and the personnel were blinded to intervention allocation and this was described.

  • Uncertain risk: if the procedure of blinding was insufficiently described.

  • High risk: if blinding of participants and the personnel was not performed.

Blinding of outcome assessment
  • Low risk of bias: if it was mentioned that outcome assessors were blinded and this was described.

  • Uncertain risk of bias: if it was not mentioned if the outcome assessors in the trial were blinded, or the extent of blinding was insufficiently described.

  • High risk of bias: if no blinding or incomplete blinding of outcome assessors was performed.

Incomplete outcome data
  • Low risk of bias: if missing data were unlikely to make treatment effects depart from plausible values. This could either be: 1) there were no dropouts or withdrawals for all outcomes, or 2) the numbers and reasons for the withdrawals and dropouts for all outcomes were clearly stated and could be described as being similar in both groups. Generally, the trial was judged as at low risk of bias due to incomplete outcome data if dropouts were less than 5%. However, the 5% cut‐off was not definitive.

  • Uncertain risk of bias: if there was insufficient information to assess whether missing data were likely to induce bias on the results.

  • High risk of bias: if the results were likely to be biased due to missing data either because the pattern of dropouts could be described as being different in the two intervention groups or the trial used improper methods in dealing with the missing data (e.g. last observation carried forward).

Selective outcome reporting
  • Low risk of bias: if a protocol was published/registered before or at the time the trial was begun and the outcomes specified in the protocol were reported on. If there was no protocol or the protocol was published/registered after the trial had begun, reporting of all‐cause mortality and various types of serious adverse event granted the trial a grade of low risk of bias.

  • Uncertain risk of bias: if no protocol was published and the outcomes all‐cause mortality and serious adverse event were not adequately reported on.

  • High risk of bias: if the outcomes in the protocol were not reported on.

Other risks of bias
  • Low risk of bias: if the trial appeared to be free of other components that could put it at risk of bias.

  • Unclear risk of bias: if the trial might or might not be free of other components that could put it at risk of bias.

  • High risk of bias: if there were other factors in the trial that could put it at risk of bias.

Overall risk of bias
  • Low risk of bias: the trial was classified as at overall 'low risk of bias' only if all of the bias domains described in the above paragraphs were classified as at 'low risk of bias'.

  • High risk of bias: the outcome result was classified as at overall 'high risk of bias' if any of the bias risk domains described in the above were classified as at 'unclear' or 'high risk of bias'.

Notes

We extracted details on funding of the trial and notable conflicts of interest of trial authors, if available.

We noted in the 'Characteristics of included studies' table if outcome data were not reported in a usable way.

Assessment of risk of bias in included studies

We used the instructions given in TheCochrane Handbook for Systematic Reviews of Interventions in our evaluation of the methodology and hence the risk of bias of the included trials (Higgins 2017). Three review authors (NJS, SS, SKK) assessed the included trials independently. We evaluated the risk of bias in the following risk of bias domains:

  • random sequence generation;

  • allocation concealment;

  • blinding of participants and personnel;

  • blinding of outcome assessment;

  • incomplete outcome data;

  • selective outcome reporting; and

  • other risks of bias.

This was done because these domains enable classification of randomised trials at low risk of bias and at high risk of bias. The latter trials tend to overestimate positive intervention effects (benefits) and underestimate negative effects (harms) (Schulz 1995; Moher 1998; Kjaergard 2001; Gluud 2006; Wood 2008; Savovic 2012).

We graded each potential source of bias as high, low, or unclear and provided evidence from the study report together with a justification for our judgement in the 'Risk of bias' table. We have summarised the 'Risk of bias' judgements across different trials for each of the domains listed.

We classified a trial as at overall low risk of bias only if all of the bias domains mentioned above were classified as at low risk of bias. We classified a trial as at overall high risk of bias if any of the bias risk domains mentioned above were classified as at unclear or high risk of bias. For additional details on how risk of bias were assessed, please see Table 3.

We conducted a sensitivity analysis only including trials at overall low risk of bias for all our outcomes (see below in 'Sensitivity analysis'). When considering the risk of blinding, we assessed each outcome individually (Savovic 2018).

Measures of treatment effect

Dichotomous outcomes

We calculated risk ratios (RR) with 95% confidence interval (CI) for dichotomous outcomes. We calculated absolute risk reduction (ARR) or increase (ARI) and number needed to treat for an additional beneficial outcome (NNTB) or for an additional harmful outcome (NNTH) if the outcome result showed a beneficial or harmful effect, respectively. We only calculated the 95% CI of NNTB or NNTH when the results were either all positive or all negative (Altman 1998).

Continuous outcomes

We planned to calculate the mean differences (MD) and the standardised mean difference (SMD) with 95% CI for continuous outcomes. However, none of the included trials reported quality of life (our only continuous outcome).

Unit of analysis issues

We only included randomised clinical trials. For trials using cross‐over design, we planned to only include data from the first period (Elbourne 2002; Deeks 2017). However, none of the included trials used a cross‐over design. For trials where multiple trial intervention groups were reported, we included only the relevant groups. If two comparisons were combined in the same meta‐analysis, we halved the control group to avoid double‐counting (Deeks 2017).

Dealing with missing data

We contacted all trial authors to obtain missing data (i.e. for data extraction and for assessment of risk of bias, as specified above) (Characteristics of included studies). However, not all trial authors responded (Characteristics of included studies).

Dichotomous outcomes

We did not use intention‐to‐treat data if the original report did not contain them. We did not impute missing values for any outcomes in our primary analysis. In four of our sensitivity analyses ('best‐worst', 'worst‐best', modified 'best‐worst', and modified 'worst‐best' case analyses), we imputed data; see 'Sensitivity analysis'.

Continuous outcomes

None of the included trials reported quality of life (our only continuous outcome). If continuous data were available, we would have dealt with missing data as following.

If standard deviations (SDs) were not reported, we planned to calculate them using data from the trial if possible. We planned to not use intention‐to‐treat data if the original report did not contain such data. We planned to not impute missing values for any outcomes in our primary analyses. We planned to impute data in four of our sensitivity analyses ('best‐worst', 'worst‐best', modified 'best‐worst', and modified 'worst‐best' case analyses).

Assessment of heterogeneity

We primarily investigated forest plots to visually assess any sign of heterogeneity. Secondly, we assessed the presence of statistical heterogeneity by the Chi2 test (threshold P < 0.10) and measured the quantities of heterogeneity by the I2 statistic (Higgins 2002; Higgins 2003).

We followed the recommendations for thresholds in the Cochrane Handbook for Systematic Reviews of Interventions (Deeks 2017):

  • 0% to 40%: might not be important;

  • 30% to 60%: may represent moderate heterogeneity;

  • 50% to 90% may represent substantial heterogeneity;

  • 75% to 100%: may represent considerable heterogeneity.

We investigated possible heterogeneity through subgroup analyses. Ultimately, we might have decided that a meta‐analysis should be avoided (Deeks 2017). However, none of the planned meta‐analyses were avoided.

Assessment of reporting biases

We used funnel plots to assess reporting bias in the meta‐analyses including 10 or more trials. We visually inspected the funnel plots to assess the risk of bias. We were aware of the limitations of a funnel plot (i.e. a funnel plot assesses bias due to small sample size). From this information, we assessed possible reporting bias. For dichotomous outcomes, we tested asymmetry with the Harbord test (Harbord 2006). For continuous outcomes, we planned to use the regression asymmetry test (Egger 1997) and the adjusted rank correlation (Begg 1994). However, no data on our continuous outcome (i.e. quality of life) were included.

Data synthesis

Assessment of statistical and clinical significance

We undertook this systematic review according to the recommendations stated in TheCochrane Handbook for Systematic Reviews of Interventions (Deeks 2017) for better validation of meta‐analytic results in systematic reviews. We used the Cochrane statistical software RevMan 5.4.1 (RevMan 2020) to meta‐analyse data.

We assessed our intervention effects with both random‐effects meta‐analyses (DerSimonian‐Laird model) (DerSimonian 1986) and fixed‐effect meta‐analyses (DeMets 1987) with the Mantel‐Haenszel method and chose the more conservative result as our primary result (Jakobsen 2014). The more conservative result was the result with the highest P value and the widest 95% CI. If there was substantial discrepancy between the results of the two methods, we reported and discussed both results (Jakobsen 2014).

Subgroup analysis and investigation of heterogeneity

We performed the following subgroup analyses when assessing each outcome (all‐cause mortality, cardiovascular mortality, myocardial infarction, and stroke) both at maximum follow‐up and 24±6 months' follow‐up. We were not able to perform subgroup analyses on 'serious adverse events' and 'quality of life' due to no available data.

A: Comparison of the effects between trials with different types of antibiotic:

  • azithromycin;

  • roxithromycin;

  • clarithromycin;

  • doxycycline;

  • gatifloxacin; or

  • spiramycin.

B: Comparison of the effects between trials with different antibody status:

  • trials including participants with identified C pneumoniae,H pylori, P gingivalis, or E coli antibodies;

  • trials including participants without any identified C pneumoniae,H pylori, P gingivalis, or E coli antibodies; and

  • trials including both participants with and without identification of C pneumoniae,H pylori, P gingivalis, or E coli antibodies.

C: Comparison of the effects between trials including participants on statins at entry compared to trials including participants not on statins at entry (Jensen 2010):

  • trials including participants using statins at entry;

  • trials including participants not using statins at entry; and

  • trials including both participants who are using and not using statins at entry.

D: Comparison of the effects between trials with different mean age of the participants:

  • 18 to 59 years;

  • 60 years and over.

E: Comparison of the effects between trials with different clinical trial registration status:

  • pre‐registration;

  • post‐registration; or

  • no registration.

Additionally, we performed the following subgroup analysis when assessing each outcome (all‐cause mortality, cardiovascular mortality, myocardial infarction, and stroke) at maximum follow‐up.

F: Comparison of trials with less than 12 months' follow‐up to trials with equal to or longer than 12 months' follow‐up:

  • trials with less than 12 months' follow‐up; or

  • trials with equal to or longer than 12 months' follow‐up.

Post‐hoc subgroup analysis

After the publication of the protocol, we added three extra subgroups. We performed these three subgroups when assessing each outcome (all‐cause mortality, cardiovascular mortality, myocardial infarction, and stroke) both at maximum follow‐up and 24±6 months' follow‐up.

To assess the potential difference in effect based on the different classes of antibiotics, we added the following subgroup:

G: Comparison of the effects between trials with different classes of antibiotic:

  • macrolides;

  • tetracyclines; or

  • quinolones.

To assess the potential difference in effect based on the funding of the trial, we added the following subgroup:

H: Comparison of the effects between industry funded trials or trials with unknown funding compared to non‐industry funded trials (Lundh 2017):

  • industry funded trials or unknown funding; or

  • non‐industry funded trials.

To assess the potential difference in effect based on the control intervention, we added the following subgroup:

I: Comparison of the effects between trials using either placebo or 'no intervention' as control intervention:

  • placebo‐controlled trials; or

  • no control intervention.

We used the formal test for subgroup differences in RevMan 5.4.1 (RevMan 2020).

Sensitivity analysis

To assess the potential impact of bias, we performed a sensitivity analysis in which we only included trials at overall low risk of bias.

To assess the potential impact of sub‐optimal medical therapy, we performed a sensitivity analysis in which we excluded trials with sub‐optimal medical therapy.

To assess the potential impact of the missing data for dichotomous outcomes, we performed the following four sensitivity analyses when assessing each dichotomous outcome (all‐cause mortality, cardiovascular mortality, myocardial infarction, stroke, and sudden cardiac death).

  • 'Best‐worst‐case' scenario: we assumed that all participants lost to follow‐up in the experimental group survived, had no cardiovascular death, had no myocardial infarction, had no stroke, and had no sudden cardiac death; and all those participants lost to follow‐up in the control group did not survive, had a cardiovascular death, had a myocardial infarction, had a stroke, and had a sudden cardiac death.

  • 'Worst‐best‐case' scenario: we assumed that all participants lost to follow‐up in the experimental group did not survive, had a cardiovascular death, had a myocardial infarction, had a stroke, and had a sudden cardiac death; and that all those participants lost to follow‐up in the control group survived, had no cardiovascular death, had no myocardial infarction, had no stroke, and had no sudden cardiac death.

  • A modified 'best‐worst‐case' scenario: we assumed that all participants lost to follow‐up in the experimental group survived, had no cardiovascular death, had no myocardial infarction, had no stroke, and had no sudden cardiac death; and that half of the participants lost to follow‐up in the control group did not survive, had a cardiovascular death, had a myocardial infarction, had a stroke, and had a sudden cardiac death.

  • A modified 'worst‐best‐case' scenario: we assumed that half of the participants lost to follow‐up in the experimental group did not survive, had a cardiovascular death, had a myocardial infarction, had a stroke, and had a sudden cardiac death; and that all those participants lost to follow‐up in the control group survived, had no serious adverse event, had no cardiovascular death, had no myocardial infarction, had no stroke, and had no sudden cardiac death.

Results from all four scenarios are presented in our review. We were not able to perform the above‐mentioned sensitivity analyses on 'serious adverse events' due to lack of data.

We planned that when analysing quality of life, a ‘beneficial outcome’ would have been the group mean plus two standard deviations (SDs) (we would then have used one SD in another sensitivity analysis) of the group mean, and a ‘harmful outcome’ would have been the group mean minus two SDs (we would then have used one SD in another sensitivity analysis) of the group mean (Jakobsen 2014). However, no data on quality of life were available in the included trials.

To assess the potential impact of missing SDs for continuous outcomes, we planned to perform the following sensitivity analysis.

  • Where SDs were missing and not possible to calculate, we planned to impute SDs from trials with similar populations and low risk of bias. If no such trials were found, we planned to impute SDs from trials with a similar population. As the final option, we planned to impute SDs from all trials.

We planned to present results of this scenario in our review. However, no data on quality of life were available in the included trials.

Summary of findings and assessment of the certainty of the evidence

We used the GRADE system (Guyatt 2008) to assess the certainty of the body of evidence associated with each of the primary (all‐cause mortality, serious adverse event, and quality of life) and secondary outcomes (cardiovascular mortality, myocardial infarction, stroke, and sudden cardiac death) at both maximum follow‐up and 24±6 months follow‐up constructing 'Summary of Findings' tables using the GRADEpro software (GRADEpro GDT 2015; Schunemann 2013). The GRADE approach appraises the certainty of the body of evidence based on the extent to which one can be confident that an estimate of effect or association reflects the item being assessed (Schunemann 2003; Guyatt 2008; Guyatt 2011). We assessed the GRADE levels of evidence as high, moderate, low, and very low and downgraded the evidence by one or two levels depending on the following certainty measures: within‐study risk of bias, the directness of the evidence, heterogeneity of the data, precision of effect estimates, and risk of publication bias (Schunemann 2003; Guyatt 2008; Guyatt 2011). We used the methods and recommendations described in Chapter 8 (Section 8.5) (Higgins 2011b) and Chapter 12 (Schünemann 2017) of the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011a). We justified all decisions to downgrade the certainty of studies using footnotes and we made comments to aid the reader's understanding of the review where necessary.

We included all trials in our analyses and conducted a sensitivity analysis only including low risk of bias trials. If the results were similar, we based our 'Summary of findings' tables and conclusions on the overall analysis. If they differed, we based our 'Summary of findings' tables and conclusions on trials at low risk of bias.

We found three low risk of bias trials and reported their findings (ACADEMIC 1999; AZACS 2003; CLARICOR 2006). For cardiovascular mortality at maximum follow‐up, the sensitivity analyses differed from the overall analyses. Hence, we based our primary analyses and primary conclusions on trials at low risk of bias for this outcome. For all other outcomes, we based our primary analyses and primary conclusions on the overall analyses (Table 1 (maximum follow‐up) and Table 2 (24±6 months follow‐up)).

Summary of findings 1. Antibiotics versus placebo or no intervention for secondary prevention of patients with coronary heart disease at maximum follow‐up.
Antibiotics compared with placebo or no intervention for coronary heart disease at maximum follow‐up
Patient or population: patients with coronary heart disease
Settings: any setting
Intervention: any antibiotic
Comparison: placebo or no intervention
Outcomes Anticipated absolute effects* (95% CI) Relative effect
(95% CI) No of Participants
(studies) Certainty of the evidence
(GRADE) Comments
Risk with placebo or no intervention Risk with antibiotics
All‐cause mortality at maximum follow‐up.
Follow‐up: mean 21.4 months (range 3 to 120 months).
100 per 1000 106 per 1000
(99 to 113) RR 1.06 (0.99 to 1.13) 25,774 (20 trials) ⊕⊕⊕⊕
HIGH Overall low risk of bias due to the four trials carrying most of the weight were either at overall low risk of bias or were low risk of bias in the majority of domains.
Low risk of imprecision due to inclusion of more participants than the estimated optimal information size1
Serious adverse event at maximum follow‐up. No data were reported in the included trials.
Quality of life at maximum follow‐up. No data were reported in the included trials.
Cardiovascular mortality at maximum follow‐up.
Follow‐up: mean 72.0 months (range 24 to 120 months).
167 per 1000 185 per 1000
(164 to 209) RR 1.11 (0.98 to 1.25) 4674 (2 trials) ⊕⊕⊕⊝
MODERATE2 The sensitivity analysis only including low risk of bias trials differed from the overall analysis. Hence, for this outcome, we based our primary analysis and primary conclusion on trials at low risk of bias.
Overall low risk of bias due to the three trials carrying most of the weight were either at overall low risk of bias or were low risk of bias in the majority of domains.
Low risk of imprecision due to the sample size being very large (> 4000 participants)3.
Myocardial infarction at maximum follow‐up.
Follow‐up: mean 20.7 months (range 3 to 120 months).
80 per 1000 76 per 1000
(71 to 83) RR 0.95 (0.88 to 1.03) 25,523 (17 trials) ⊕⊕⊕⊕
HIGH Overall low risk of bias due to the four trials carrying most of the weight were either at overall low risk of bias or were low risk of bias in the majority of domains.
Low risk of imprecision due to inclusion of more participants than the estimated optimal information size4.
Stroke at maximum follow‐up.
Follow‐up: mean 31.9 months (range 6 to 120 months).
55 per 1000 62 per 1000
(55 to 70) RR 1.14 (1.00 to 1.29) 14,774 (9 trials) ⊕⊕⊕⊕
HIGH Overall low risk of bias due to the three trials carrying most of the weight were either at overall low risk of bias or were low risk of bias in the majority of domains.
Low risk of imprecision due to the sample size being very large (> 4000 participants)5.
The risk of publication bias could not be assessed due to too few included trials.
Sudden cardiac death at maximum follow‐up.
Follow‐up: mean 69.3 months (range 18.5 to 120 months).
84 per 1000 90 per 1000 (75 to 109) RR 1.08 (0.90 to 1.31) 4520 (2 trials) ⊕⊕⊕⊝
MODERATE2 Overall low risk of bias due to both trials included in the meta‐analyses being at overall low risk of bias or low risk of bias in the majority of domains, respectively.
Low risk of imprecision due to the sample size being very large (> 4000 participants)6.
The risk of publication bias could not be assessed due to too few included trials.
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; RR: Risk ratio.
GRADE Working Group grades of evidenceHigh certainty: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate certainty: we are moderately confident in the effect estimate; the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low certainty: our confidence in the effect estimate is limited; the true effect may be substantially different from the estimate of the effect.
Very low certainty: we have very little confidence in the effect estimate; the true effect is likely to be substantially different from the estimate of the effect.

1No downgrading for imprecision: the optimal information size according to the GRADE Handbook using a RRR of 15%, an incidence in the control group of 10.0%, an alpha of 2.5%, and a beta of 10% was estimated to be 18,576 participants and we included 25,774 participants.

2Downgrading one level due to serious indirectness: risk of difference between the population of interest and the included participants, and between the intervention of interest and the included interventions.

3No downgrading for imprecision: the optimal information size according to the GRADE Handbook using a RRR of 15%, an incidence of 16.7%, an alpha of 2.0%, and a beta of 10% was estimated to be 10,883 participants and we only included 4674 participants. Nevertheless, the sample size was very large (>4000 participants).

4No downgrading for imprecision: the optimal information size according to the GRADE Handbook using a RRR of 15%, an incidence of 8.09%, an alpha of 2.0%, and a beta of 10% was estimated to be 24,627 participants and we included 25,523 participants.

5No downgrading for imprecision: the optimal information size according to the GRADE Handbook using a RRR of 15%, an incidence of 5.49%, an alpha of 2.0%, and a beta of 10% was estimated to be 37,339 participants and we only included 14,774 participants. Nevertheless, the sample size was very large (>4000 participants).

6No downgrading for imprecision. the optimal information size according to the GRADE Handbook using a RRR of 15%, an incidence of 8.36%, an alpha of 2.0%, and a beta of 10% was estimated to be 23,782 participants and we only included 4520 participants. Nevertheless, the sample size was very large (>4000 participants).

Summary of findings 2. Antibiotics versus placebo or no intervention for secondary prevention of patients with coronary heart disease at 24±6 months follow‐up.
Antibiotics compared with placebo or no intervention for coronary heart disease at 24±6 months follow‐up
Patient or population: patients with coronary heart disease
Settings: any setting
Intervention: any antibiotic
Comparison: placebo or no intervention
Outcomes Anticipated absolute effects* (95% CI) Relative effect
(95% CI) No of Participants
(studies) Certainty of the evidence
(GRADE) Comments
Risk with placebo or no intervention Risk with antibiotics
All‐cause mortality at 24±6 months follow‐up.
Follow‐up: mean 23.3 months (range 18 to 30 months).
50 per 1000 62 per 1000
(53 to 74) RR 1.25 (1.06 to 1.48) 9517 (6 trials) ⊕⊕⊕⊕
HIGH Overall low risk of bias due to the three trials carrying most of the weight were either at overall low risk of bias or were low risk of bias in the majority of domains.
Low risk of imprecision due to the sample size being very large (> 4000 participants)1.
The risk of publication bias could not be assessed due to too few included trials.
Serious adverse event at 24±6 months follow‐up. No data were reported in the included trials.
Quality of life at 24±6 months follow‐up. No data were reported in the included trials.
Cardiovascular mortality at 24±6 months follow‐up.
Follow‐up: mean 23.1 months (range 18 to 30 months).
23 per 1000 34 per 1000
(26 to 43) RR 1.50 (1.17 to 1.91) 9044 (5 trials) ⊕⊕⊕⊕
HIGH Overall low risk of bias due to the three trials carrying most of the weight were either at overall low risk of bias or were low risk of bias in the majority of domains.
Low risk of imprecision due to the sample size being very large (> 4000 participants)2.
The risk of publication bias could not be assessed due to too few included trials.
Myocardial infarction at 24±6 months follow‐up.
Follow‐up: mean 24.3 months (range 18.5 to 30.0 months).
68 per 1000 65 per 1000
(56 to 76) RR 0.95 (0.82 to 1.11) 9457 (5 trials) ⊕⊕⊕⊝
MODERATE3 Overall low risk of bias due to the two trials carrying most of the weight were either at overall low risk of bias or were low risk of bias in the majority of domains.
Low risk of imprecision due to the sample size being very large (> 4000 participants)4.
The risk of publication bias could not be assessed due to too few included trials.
Stroke at 24±6 months follow‐up.
Follow‐up: mean 24.3 months (range 18.5 to 30 months).
21 per 1000 25 per 1000
(19 to 32) RR 1.17 (0.90 to 1.52) 9457 (5 trials) ⊕⊕⊕⊕
HIGH Overall low risk of bias due to the three trials carrying most of the weight were either at overall low risk of bias or were low risk of bias in the majority of domains.
Low risk of imprecision due to the sample size being very large (> 4000 participants)5.
The risk of publication bias could not be assessed due to too few included trials.
Sudden cardiac death at 24±6 months follow‐up.
Follow‐up: mean 24.3 months (range 18.5 to 30 months).
26 per 1000 44 per 1000 (33 to 63) RR 1.77 (1.28 to 2.44) 4520 (2 trials) ⊕⊕⊕⊝
MODERATE6 Overall low risk of bias due to both trials included in the meta‐analyses being at overall low risk of bias or low risk of bias in the majority of domains, respectively.
Low risk of imprecision due to the sample size being very large (> 4000 participants)7.
The risk of publication bias could not be assessed due to too few included trials.
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; RR: Risk ratio.
GRADE Working Group grades of evidenceHigh certainty: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate certainty: we are moderately confident in the effect estimate; the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low certainty: our confidence in the effect estimate is limited; the true effect may be substantially different from the estimate of the effect.
Very low certainty: we have very little confidence in the effect estimate; the true effect is likely to be substantially different from the estimate of the effect.

1No downgrade for imprecision: the optimal information size according to the GRADE Handbook using a RRR of 15%, an incidence of 4.98%, an alpha of 2.5%, and a beta of 10% was estimated to be 38,771 participants and we only included 9509 participants. Nevertheless, the sample size was very large (>4000 participants).

2No downgrade for imprecision: the optimal information size according to the GRADE Handbook using a RRR of 15%, an incidence of 2.25%, an alpha of 2.0%, and a beta of 10% was estimated to be 91,738 participants and we only included 9036 participants. Nevertheless, the sample size was very large (>4000 participants).

3Downgrading one level due to serious inconsistency: the statistical heterogeneity was I2 = 43%; P = 0.14. Moreover, the forest plot showed trials with results in opposite direction.

4No downgrade for imprecision: the optimal information size according to the GRADE Handbook using a RRR of 15%, an incidence of 6.85%, an alpha of 2.0%, and a beta of 10% was estimated to be 96,669 participants and we only included 9457 participants. Nevertheless, the sample size was very large (>4000 participants).

5No downgrade for imprecision: The optimal information size according to the GRADE Handbook using a RRR of 15%, an incidence of 2.11%, an alpha of 2.0%, and a beta of 10% was estimated to be 97,219 participants and we only included 9449 participants. Nevertheless, the sample size was very large (>4000 participants).

6Downgrading one level due to serious indirectness: Risk of difference between the population of interest and the included participants, and between the intervention of interest and the included interventions.

7No downgrade for imprecision: the optimal information size according to the GRADE Handbook using a RRR of 15%, an incidence of 2.59%, an alpha of 2.0%, and a beta of 10% was estimated to be 80,024 participants and we only included 4520 participants. Nevertheless, the sample size was very large (>4000 participants).

Results

Description of studies

We assessed all trials according to the Cochrane Handbookfor Systematic Reviews of Interventions(Higgins 2011a), and the protocol for this review (Sethi 2017). Characteristics of each trial can be found in 'Characteristics of included studies', 'Characteristics of excluded studies', and 'Characteristics of ongoing studies'. We identified four eligible ongoing studies (ACAC‐CHD 2018; DOXY‐STEMI 2018; Fredy 2019; SALVAGE MI 2018).

Results of the search

We identified a total of 8093 potentially relevant references through searching the CENTRAL (The Cochrane Library) (n = 1368), MEDLINE (n = 3658), Embase (n = 2418), Science Citation Index Expanded (n = 425), BIOSIS (n = 219), and LILACS (n = 5) databases. The search strategy is presented in Appendix 1. We found six potentially relevant references when searching Google Scholar, clinical trial registers, and reference lists of included trials, previous systematic reviews, and other types of reviews. After removing duplicates, 4772 records were screened, and 4688 references were excluded based on titles and abstracts. Eighty‐four full text articles were assessed for eligibility and we excluded 16 references reporting on 14 trials according to our inclusion criteria and exclusion criteria. Reasons for exclusion are listed in the table 'Characteristics of excluded studies'. Of the remaining 68 references, we found five references reporting on four ongoing trials and two references reporting on two studies awaiting classification. Further information can be found in the table 'Characteristics of ongoing studies' and 'Characteristics of studies awaiting classification'. We therefore included 61 publications reporting results of 38 trials. Accordingly, 38 trials could be included in our analyses. The study flow chart can be seen in Figure 1.

1.

1

Study flow chart.

Included studies

We included 61 publications reporting on 38 trials comparing antibiotics versus placebo or no intervention in patients with coronary heart disease (Figure 1). The trials were conducted between 1997 and 2019. The trials took place at sites in 27 different countries: nine were from the USA; 6 from Germany; five from the UK; three each from Canada, Italy, and Finland; two each from France, Argentina, Spain, Turkey, India, South Korea, and Austria; and one each from Greece, Serbia, Romania, Australia, Thailand, the Netherlands, Denmark, Sweden, Poland, Japan, Brazil, Georgia, Slovenia, and Israel. The trials had a mean maximum follow‐up of 13.9 months (range 0.17 to 120.0 months). The vast majority of the data was contributed by trials assessing the effects of macrolides (28 trials randomising 22,059 participants) and quinolones (two trials randomising 4162 participants), while insufficient data were contributed by trials assessing the effects of tetracyclines (eight trials randomising 417 participants). A total of 23/38 trials with 26,078 participants reported data that could be meta‐analysed. For further details on included studies and baseline characteristics of included participants, see 'Characteristics of included studies' and Table 4.

2. Baseline information of each included trial.
Trial Year Number of participants currently smoking Number of participants with diabetes Number of participants with hypertension Number of participants with hyperlipidaemia
ACADEMIC 1999 112 out of 302 34 out of 302 127 out of 302
ACES 2005 542 out of 4012 883 out of 4012 2688 out of 4012 3309 of 4012
Aleksiadi 2007 2007
ANTIBIO 2003 428 out of 851 139 out of 861 439 out of 851
AZACS 2003 348 out of 1439 398 out of 1439 832 out of 1439 864 out of 1439
Berg 2005 2005 92 out of 473 74 out of 473 195 out of 473 278 out of 473
CLARICOR 2006 1572 out of 4372 678 out of 4372 1761 out of 4372
CLARIFY 2002 40 out of 148 28 out of 148 62 out of 148 113 out of 148
Gabriel 2003l 2003 4 out of 38 9 out of 38 14 out of 38 8 out of 38
Gupta 2007 1997 19 out of 60 20 out of 60 11 out of 60 25 out of 60
Hillis 2004 2004 25 out of 141 19 out of 141 57 out of 141
Hyodo 2004 2004 6 out of 31 8 out of 31 17 out of 31 17 out of 31
Ikeoka 2009 2009 41 out of 82 0 out of 82 46 out of 82
ISAR‐3 2001 224 out of 1010 202 out of 1010 771 out of 1010
Jackson 1999 1999
Kaehler 2005 2005 67 out of 327 18 out of 327 259 out of 327
Kim 2004 2004 55 out of 129 38 out of 129 69 out of 129 35 out of 129
Kim 2012 2012 26 out of 50 4 out of 50 27 out of 50 8 out of 50
Kormi 2014 2014
Kuvin 2003 2003 32 out of 58 12 out of 58 34 out of 58 45 out of 58
Leowattana 2001 2001 44 out of 84 37 out of 84 44 out of 84 53 out of 84
MIDAS 2003 21 out of 50 20 out of 50 39 out of 50 41 out of 50
Parchure 2002 2002 5 out of 40 8 out of 40 12 out of 40 27 out of 40
Pieniazek 2001 2001
PROVE‐IT 2005 1529 out of 4162 734 out of 4162 2091 out of 4162
Radoi 2003l 2003 39 out of 109 27 out of 109 67 out of 109 78 out of 109
ROXIS 1997 53 out of 202 26 out of 202 112 out of 202 129 out of 202
Sanati2019 2019 26 out of 68 27 out of 68 26 out of 68
Schulze 2013 2013 20 out of 42 15 out of 42 37 out of 42 37 out of 42
Semaan 2000 2000
Sinisalo 1998 1998 11 out of 33
Stojanovic 2011 2011 18 out of 165 37 out of 165 29 out of 165
Thomaidou 2017 2017 16 out of 40 15 out of 40 21 out of 40
TIPTOP 2014 61 out of 80 23 out of 80 55 out of 80 54 out of 80
Torgano 1999 1999 23 out of 110 26 out of 110 15 out of 110
Tüter 2007 2007 26 out of 36
WIZARD 2003 1266 out of 7722 1637 out of 7722 3482 out of 7722 4786 out of 7722
Ütük 2004 2004 52 out of 113 20 out of 113 34 out of 113 20 out of 113

Participants

A total of 26,638 participants with coronary heart disease were randomised in the 38 included trials. The number of participants in each trial ranged from 13 to 7747. The mean age was 61.6 years (range 53.8 years to 69.0 years). The mean proportion of women was 22.9%. The percentage of participants currently smoking was 25.6%, the percentage of participants with diabetes was 19.6%, the percentage of participants with hypertension was 51.0%, and the percentage of participants with hyperlipidaemia was 66.2%.

Experimental intervention

The included trials used numerous types of antibiotics as their experimental intervention: 15 trials used azithromycin; eight trials used doxycycline; five trials used clarithromycin; five trials used roxithromycin; two trials used spiramycin; one trial used erythromycin; one trial used ciprofloxacin; and one trial used gatifloxacin. Accordingly, 29 trials used macrolides, eight trials used tetracyclines, and two trials used quinolones. The duration of therapy in each trial ranged from three days to 12 months.

Control intervention

We included 31 trials where the control group received placebo. In the remaining seven trials, the control group received no intervention (apart from any co‐interventions also administered to the antibiotic group).

Co‐interventions

We included 29 trials where the participants received a type of co‐intervention. In 18 trials, the co‐interventions consisted of anti‐anginal therapy, anti‐ischaemic therapy, anti‐thrombotic therapy, and anti‐lipidaemic therapy; in six trials, the co‐interventions consisted of anti‐anginal therapy, anti‐ischaemic therapy, and anti‐thrombotic therapy; in five trials, the co‐intervention consisted of anti‐thrombotic therapy. In seven trials, the participants also received either percutaneous coronary intervention (four trials) or coronary artery bypass surgery (three trials). In the remaining nine trials, there was no mention of any use of co‐interventions. For further details, see 'Characteristics of included studies'.

Excluded studies

We excluded 14 trials after full‐text assessment based on our inclusion and exclusion criteria: four trials were not randomised; four trials did not use an antibiotic as the experimental intervention; three trials gave additional co‐intervention (omeprazole) to the experimental group but not to the control group; two trials did not compare antibiotics versus placebo or no intervention; and one trial assessed the effects of antibiotics for primary prevention of postoperative infection and not for secondary prevention of coronary heart disease. For further details, see 'Characteristics of excluded studies'.

Risk of bias in included studies

Based on the information that we collected from the published reports and information from authors, three trials were considered at low risk of bias (ACADEMIC 1999; AZACS 2003; CLARICOR 2006). The remaining 35 trials were considered at high risk of bias mainly because of domains being at unclear risk of bias. Many trials were judged to be at unclear risk of bias in several domains, and additional information could not be obtained from the authors when contacted. Additional information can be found in the 'Risk of bias' summary (Figure 2), the 'Risk of bias' graph (Figure 3), and 'Characteristics of included studies'.

2.

2

'Risk of bias' summary: review authors' judgements about each risk of bias item for each included study. Multiple eligible treatments were used in two trials generating two further comparisons (= 38 trials reporting on 40 experimental groups).

3.

3

'Risk of bias' graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Allocation

The generation of the random sequence was at low risk of bias in 12 trials. The remaining 26 trials were described as being randomised, but the method used for sequence generation was not described and were judged at unclear risk of bias.

The method used to conceal allocation was adequate in 13 trials. In one trial, the concealment of allocation was not adequate and was judged at high risk of bias (TIPTOP 2014). The remaining 24 trials were described as being randomised, but the method used for allocation concealment was either not described or insufficiently described and were judged to be of unclear risk of bias.

Blinding

The blinding of participants and personnel was performed and adequately described in 22 trials and were judged at low risk of bias. Three trials described that they did not blind the participants and personnel and were judged at high risk of bias. The method for blinding of participants and personnel for the remaining 13 trials were either not described or insufficiently described and were judged at unclear risk of bias.

The blinding of outcome assessors was performed and adequately described in 13 trials and were judged at low risk of bias. The methods for blinding of outcome assessors for the remaining 25 trials were either not described or insufficiently described and were judged at unclear risk of bias.

Incomplete outcome data

Incomplete outcome data were addressed adequately in 19 trials and were judged at low risk of bias. Six trials did not properly deal with incomplete outcome data and were judged to be of high risk of bias. In the remaining 13 trials, incomplete outcome data were either not described or insufficiently described how they dealt with missing data and were judged at unclear risk of bias.

Selective reporting

Eight trials reported the results of the outcomes stated in their respective protocols, or reported all‐cause mortality and various types of serious adverse events, resulting in low risk of bias according to our predefined bias risk assessment. One trial did not report the same outcomes, as stated in the protocol and was judged at high risk of bias (WIZARD 2003). In the remaining 29 trials, no protocol could be obtained and the trial did not report our primary outcomes sufficiently and were judged at unclear risk of bias.

Other potential sources of bias

Thirty‐six trials had no other biases resulting in at low risk of bias. Two trials reported insufficient information to assess whether an important risk of bias exists.

Effects of interventions

See: Table 1; Table 2

Primary outcomes

All‐cause mortality
Maximum follow‐up

For this outcome, 20/38 trials with a total of 25,774 participants and a mean follow‐up of 21.4 months (range 3.0 to 120.0 months) reported all‐cause mortality at maximum follow‐up. The specific assessment time points in each trial are presented in Table 5. A total of 1354/12,895 (10.5%) antibiotic participants died versus 1291/12,879 (10.0%) control participants. Random‐effects meta‐analysis showed that antibiotics versus placebo or no intervention seemed to increase the risk of all‐cause mortality (risk ratio (RR) 1.06; 95% confidence interval (CI) 0.99 to 1.13; P = 0.07; I2 = 0%; 25,774 participants; 20 trials; high certainty of evidence; Analysis 1.1). The corresponding absolute risk increase (ARI) was 0.48% and the number needed to treat for an additional harmful outcome (NNTH) was 208.

3. Time points used at maximum follow‐up.
Trial Year All‐cause mortality (months) Cardiovascular mortality (months) Myocardial infarction (months) Stroke (months) Sudden cardiac death (months) Hospitalisation for any cause (months) Revascularisation (months) Unstable angina pectoris (months)
ACADEMIC 1999 24 24 24 24 NR 24 24 24
ACES 2005 47 47 47 47 NR 47 47 47
Aleksiadi 2007 2007 NR NR NR NR NR NR NR NR
ANTIBIO 2003 12 NR 12 12 NR 12 12 12
AZACS 2003 6 NR 6 NR NR 6 6 NR
Berg 2005 2005 24 NR 24 24 NR NR 24 24
CLARICOR 2006 120 120 120 120 120 NR NR 120
CLARIFY 2002 18.5 18.5 18.5 18.5 18.5 NR NR 18.5
Gabriel 2003 2003 NR NR NR NR NR NR NR NR
Gupta 1997 1997 18 18 NR NR NR NR NR NR
Hillis 2004 2004 NR NR NR NR NR NR NR NR
Hyodo2004 2004 NR NR NR NR NR NR NR NR
Ikeoka 2009 2009 6 NR NR NR NR NR NR NR
ISAR‐3 2001 12 NR 12 NR NR NR NR NR
Jackson 1999 1999 NR NR NR NR NR NR NR NR
Kaehler2005 2005 12 12 12 12 NR NR 12 NR
Kim 2004 2004 12 12 12 NR NR NR 12 NR
Kim 2012 2012 NR NR NR NR NR NR NR NR
Kormi 2014 2014 NR NR NR NR NR NR NR NR
Kuvin 2003 2003 NR NR NR NR NR NR NR NR
Leowattana2001 2001 3 3 3 NR NR NR 3 NR
MIDAS 2003 6 6 6 NR NR NR NR NR
Parchure 2002 2002 NR NR NR NR NR NR NR NR
Pieniazek 2001 2001 NR NR NR NR NR NR NR NR
PROVE‐IT 2005 24 24 24 24 NR 24 24 24
Radoi et al 2003 52 52 NR NR NR NR NR NR
ROXIS 1997 6 6 6 NR NR NR NR NR
Sanati 2019 2019 NR NR NR NR NR NR NR NR
Schulze 2013 2013 NR NR NR NR NR NR NR NR
Semaan 2000 2000 NR NR NR NR NR NR NR NR
Sinisalo 1998 1998 NR NR NR NR NR NR NR NR
Stojanovic 2011 2011 NR NR NR NR NR NR NR NR
Thomaidou 2017 2017 NR NR NR NR NR NR NR NR
TIPTOP 2014 6 6 6 6 NR 6 NR NR
Torgano 1999 1999 NR NR NR NR NR NR NR NR
Tüter 2007 2007 NR NR NR NR NR NR NR NR
WIZARD 2003 14 NR 14 NR NR 14 14 14
Ütük 2004 2004 6 6 6 NR NR NR 6 6

NR: Not reported.

1.1. Analysis.

1.1

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 1: ALL‐CAUSE MORTALITY

Heterogeneity

Neither visual inspection of the forest plot nor tests for statistical heterogeneity (I2 = 0%; P = 0.88) indicated any heterogeneity.

Risk of bias and sensitivity analyses

Three trials were assessed at low risk of bias (ACADEMIC 1999; AZACS 2003; CLARICOR 2006). All other trials were assessed at high risk of bias. However, the overall outcome result was dominated by CLARICOR 2006 (73.1% of weight), which was at low risk of bias in all domains. The next three highest‐weighted trials (ACES 2005; PROVE‐IT 2005; WIZARD 2003) were all at low risk of bias in the majority of domains. We therefore decided to assess the risk of bias of the outcome result at low risk of bias.

The sensitivity analysis of trials at low risk of bias showed that antibiotics versus placebo or no intervention seemed to increase the risk of all‐cause mortality (RR 1.07; 95% CI 0.99 to 1.15; P = 0.07; I2 = 0%; 6113 participants; 3 trials; moderate certainty of evidence; Analysis 1.2). The corresponding ARI was 1.85% and the NNTH was 54.

1.2. Analysis.

1.2

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 2: All‐cause mortality ‐ trials at low risk of bias

The sensitivity analyses on incomplete outcome data showed that incomplete outcome data bias alone had the potential to influence the results (best‐worst fixed‐effect meta‐analysis: RR 0.98; 95% CI 0.92 to 1.04; P = 0.46; 25,815 participants; 20 trials; Analysis 1.3); (worst‐best fixed‐effect meta‐analysis: RR 1.13; 95% CI 1.06 to 1.21; P = 0.0001; 25,815 participants; 20 trials; Analysis 1.4); (modified best‐worst fixed‐effect meta‐analysis: RR 1.01; 95% CI 0.95 to 1.08; P = 0.69; 25,815 participants; 20 trials; Analysis 1.5); (modified worst‐best random‐effects meta‐analysis: RR 1.09; 95% CI 1.02 to 1.16; P = 0.007; 25,815 participants; 20 trials; Analysis 1.6). Data were imputed for 9 trials.

1.3. Analysis.

1.3

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 3: All‐cause mortality ‐ 'best‐worst case' scenario

1.4. Analysis.

1.4

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 4: All‐cause mortality ‐ 'worst‐best case' scenario

1.5. Analysis.

1.5

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 5: All‐cause mortality ‐ modified 'best‐worst case' scenario

1.6. Analysis.

1.6

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 6: All‐cause mortality ‐ modified 'worst‐best case' scenario

The sensitivity analysis on trials with optimal medical therapy showed that antibiotics versus placebo or no intervention seemed to increase the risk of all‐cause mortality (RR 1.06; 95% CI 0.99 to 1.13; P = 0.07; I2 = 0%; 23,294 participants; 13 trials; high certainty of evidence; Analysis 1.7). The corresponding ARI was 0.56% and the NNTH was 179.

1.7. Analysis.

1.7

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 7: All‐cause mortality ‐ trials with optimal medical therapy

Visual inspection of the funnel plot showed no signs of asymmetry (Figure 4). Based on the visual inspection of the funnel plot, we assessed the risk of publication bias as low.

4.

4

Funnel plot of comparison: 1 Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, outcome: 1.1 ALL‐CAUSE MORTALITY.

Subgroup analyses

We found no evidence of a difference in subgroups analyses according to antibiotic type (Analysis 1.8); antibody status (Analysis 1.9); use of statins (Analysis 1.10); age above or under 60 years (Analysis 1.11); clinical trial registration status (Analysis 1.12); length of follow‐up above or under 12 months follow‐up (Analysis 1.13); antibiotic class (Analysis 1.14); funding (Analysis 1.15); and control intervention (Analysis 1.16).

1.8. Analysis.

1.8

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 8: All‐cause mortality according to type of antibiotic

1.9. Analysis.

1.9

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 9: All‐cause mortality according to antibody status

1.10. Analysis.

1.10

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 10: All‐cause mortality according to use of statins

1.11. Analysis.

1.11

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 11: All‐cause mortality according to the mean age

1.12. Analysis.

1.12

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 12: All‐cause mortality according to clinical trial registration status

1.13. Analysis.

1.13

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 13: All‐cause mortality according to length of follow‐up

1.14. Analysis.

1.14

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 14: All‐cause mortality according to class of antibiotic

1.15. Analysis.

1.15

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 15: All‐cause mortality according to funding

1.16. Analysis.

1.16

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 16: All‐cause mortality according to control intervention

24±6 months follow‐up

At 24±6 months follow‐up, 6/38 trials with a total of 9517 participants and a mean follow‐up of 23.3 months (range 18.0 to 30.0 months) reported all‐cause mortality. The specific assessment time points in each trial are presented in Table 6. A total of 296/4750 (6.23%) antibiotic participants died versus 237/4767 (4.97%) control participants. Random‐effects meta‐analysis showed that antibiotics versus placebo or no intervention increased the risk of all‐cause mortality (RR 1.25; 95% CI 1.06 to 1.48; I2 = 0%; P = 0.007; 9517 participants; 6 trials; high certainty of evidence; Analysis 2.1). The corresponding ARI was 1.26% and the NNTH was 79 (95% CI 335 to 42).

4. Time points used at 24±6 months follow‐up.
Trial Year All‐cause mortality (months) Cardiovascular mortality (months) Myocardial infarction (months) Stroke (months) Sudden cardiac death (months) Hospitalisation for any cause (months) Revascularisation (months) Unstable angina pectoris (months)
ACADEMIC 1999 24 24 24 24 NR 24 24 24
ACES 2005 NR NR NR NR NR NR NR NR
Aleksiadi 2007 2007 NR NR NR NR NR NR NR NR
ANTIBIO 2003 NR NR NR NR NR NR NR NR
AZACS 2003 NR NR NR NR NR NR NR NR
Berg 2005 2005 24 NR 24 24 NR NR 24 24
CLARICOR 2006 30 30 30 30 30 NR NR NR
CLARIFY 2002 18.5 18.5 18.5 18.5 18.5 NR NR 18.5
Gabriel 2003 2003 NR NR NR NR NR NR NR NR
Gupta 1997 1997 18 NR NR NR NR NR NR NR
Hillis 2004 2004 NR NR NR NR NR NR NR NR
Hyodo 2004 2004 NR NR NR NR NR NR NR NR
Ikeoka 2009 2009 NR NR NR NR NR NR NR NR
ISAR‐3 2001 NR NR NR NR NR NR NR NR
Jackson 1999 1999 NR NR NR NR NR NR NR NR
Kaehler 2005 2005 NR NR NR NR NR NR NR NR
Kim 2004 2004 NR NR NR NR NR NR NR NR
Kim 2012 2012 NR NR NR NR NR NR NR NR
Kormi 2014 2014 NR NR NR NR NR NR NR NR
Kuvin 2003 2003 NR NR NR NR NR NR NR NR
Leowattana 2001 2001 NR NR NR NR NR NR NR NR
MIDAS 2003 NR NR NR NR NR NR NR NR
Parchure2002 2002 NR NR NR NR NR NR NR NR
Pieniazek 2001 2001 NR NR NR NR NR NR NR NR
PROVE‐IT 2005 24 24 24 24 NR 24 24 24
Radoi 2003 2003 NR NR NR NR NR NR NR NR
ROXIS 1997 NR NR NR NR NR NR NR NR
Sanati 2019 2019 NR NR NR NR NR NR NR NR
Schulze 2013 2013 NR NR NR NR NR NR NR NR
Semaan2000 2000 NR NR NR NR NR NR NR NR
Sinisalo 1998 1998 NR NR NR NR NR NR NR NR
Stojanovic 2011 2011 NR NR NR NR NR NR NR NR
Thomaidou 2017 2017 NR NR NR NR NR NR NR NR
TIPTOP 2014 NR NR NR NR NR NR NR NR
Torgano 1999 1999 NR NR NR NR NR NR NR NR
Tüter 2007 2007 NR NR NR NR NR NR NR NR
WIZARD 2003 NR NR NR NR NR NR NR NR
Ütük 2004 2004 NR NR NR NR NR NR NR NR

NR: Not reported.

2.1. Analysis.

2.1

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 1: ALL‐CAUSE MORTALITY

Heterogeneity

Neither visual inspection of the forest plot nor tests for statistical heterogeneity (I2 = 0%; P = 0.90) indicated any heterogeneity.

Risk of bias and sensitivity analyses

Two trials were assessed at low risk of bias (ACADEMIC 1999; CLARICOR 2006). All other trials were assessed at high risk of bias. However, the overall outcome result was dominated by CLARICOR 2006 (73.5% of weight), which was at low risk of bias in all domains. The next two highest‐weighted trials (Berg 2005; PROVE‐IT 2005) were both at low risk of bias in the majority of domains. We therefore decided to assess the risk of bias of the outcome result at low risk of bias.

The sensitivity analysis of trials at low risk of bias showed that antibiotics versus placebo or no intervention probably increased the risk of all‐cause mortality (RR 1.25; 95% CI 1.03 to 1.51; P = 0.02; I2 = 0%; 4674 participants; 2 trials; moderate certainty of evidence; Analysis 2.2). The corresponding ARI was 1.86% and the NNTH was 54 (95% CI 446 to 26).

2.2. Analysis.

2.2

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 2: All‐cause mortality ‐ trials at low risk of bias

The sensitivity analyses on incomplete outcome data showed that incomplete outcome data bias alone did not have the potential to influence the results (best‐worst fixed‐effect meta‐analysis: RR 1.22; 95% CI 1.03 to 1.43; P = 0.02; 9518 participants; 6 trials; Analysis 2.3); (worst‐best fixed‐effect meta‐analysis: RR 1.31; 95% CI 1.11 to 1.54; P = 0.001; 9518 participants; 6 trials; Analysis 2.4); (modified best‐worst fixed‐effect meta‐analysis: RR 1.24; 95% CI 1.05 to 1.46; P = 0.01; 9518 participants; 6 trials; Analysis 2.5); (modified worst‐best fixed‐effect meta‐analysis: RR 1.28; 95% CI 1.09 to 1.51; P = 0.003; 9518 participants; 6 trials; Analysis 2.6). Data were imputed for 2 trials.

2.3. Analysis.

2.3

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 3: All‐cause mortality ‐ 'best‐worst case' scenario

2.4. Analysis.

2.4

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 4: All‐cause mortality ‐ 'worst‐best case' scenario

2.5. Analysis.

2.5

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 5: All‐cause mortality ‐ modified 'best‐worst case' scenario

2.6. Analysis.

2.6

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 6: All‐cause mortality ‐ modified 'worst‐best case' scenario

The sensitivity analysis on trials with optimal medical therapy showed that antibiotics versus placebo or no intervention probably increased the risk of all‐cause mortality (RR 1.27; 95% CI 1.07 to 1.50; I2 = 0%; P = 0.006; 8682 participants; 3 trials; moderate certainty of evidence; Analysis 2.7). The corresponding ARI was 1.36% and the NNTH was 73 (95% CI 279 to 39).

2.7. Analysis.

2.7

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 7: All‐cause mortality ‐ trials with optimal medical therapy

Subgroup analyses

We found no evidence of a difference in subgroups analyses according to antibiotic type (Analysis 2.8); antibody status (Analysis 2.9); use of statins (Analysis 2.10); age above or under 60 years (Analysis 2.11); clinical trial registration status (Analysis 2.12); antibiotic class (Analysis 2.13); and funding (Analysis 2.14). Subgroup analysis according to control intervention could not be conducted due to all trials being placebo‐controlled (Analysis 2.15).

2.8. Analysis.

2.8

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 8: All‐cause mortality according to type of antibiotic

2.9. Analysis.

2.9

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 9: All‐cause mortality according to antibody status

2.10. Analysis.

2.10

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 10: All‐cause mortality according to use of statins

2.11. Analysis.

2.11

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 11: All‐cause mortality according to the mean age

2.12. Analysis.

2.12

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 12: All‐cause mortality according to clinical trial registration status

2.13. Analysis.

2.13

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 13: All‐cause mortality according to class of antibiotic

2.14. Analysis.

2.14

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 14: All‐cause mortality according to funding

2.15. Analysis.

2.15

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 15: All‐cause mortality according to control intervention

Serious adverse events
Maximum follow‐up

None of the trials specifically assessed serious adverse event according toInternational Conference on Harmonization ‐ Good Clinical Practice (ICH‐GCP). Instead, the trials either reported composites of several specific serious adverse events or one specific serious adverse event.

We narratively reported the individual types of serious adverse events in each trial at maximum follow‐up in Table 7.

5. Serious adverse events ‐ maximum follow‐up.
Trial Year Type and number of serious adverse event (antibiotics group) Type and number of serious adverse event (control group)
ACADEMIC 1999
  • 5 deaths;

  • 4 reinfarctions;

  • 1 stroke;

  • 8 hospitalisations for unstable angina pectoris;

  • 9 revascularisations; and

  • 1 resuscitated cardiac arrest

  • 4 deaths;

  • 6 reinfarctions;

  • 3 strokes;

  • 7 hospitalisations for unstable angina pectoris; and

  • 15 revascularisations

ACES 2005
  • 143 deaths;

  • 136 reinfarctions;

  • 45 strokes;

  • 50 hospitalisations for unstable angina pectoris;

  • 264 percutaneous coronary revascularisations;

  • 117 coronary‐artery bypass surgeries;

  • 13 cardiac collapses followed by resuscitation;

  • 37 carotid endarterectomies; and

  • 30 peripheral revascularisations

  • 132 deaths;

  • 130 reinfarctions;

  • 40 strokes;

  • 55 hospitalisations for unstable angina pectoris;

  • 259 percutaneous coronary revascularisations;

  • 110 coronary‐artery bypass surgeries;

  • 8 cardiac collapses followed by resuscitation;

  • 30 carotid endarterectomies; and

  • 35 peripheral revascularisations

ANTIBIO 2003
  • 28 deaths;

  • 21 reinfarctions;

  • 7 strokes;

  • 73 hospitalisations caused by unstable angina pectoris;

  • 67 coronary bypass surgeries;

  • 182 percutaneous coronary interventions; and

  • 21 resuscitations

  • 26 deaths;

  • 24 reinfarctions;

  • 9 strokes;

  • 58 hospitalisations caused by unstable angina pectoris;

  • 60 coronary bypass surgeries;

  • 191 percutaneous coronary interventions; and

  • 15 resuscitations

AZACS 2003
  • 23 deaths;

  • 17 reinfarctions;

  • 65 coronary artery bypass grafting/percutaneous transluminal coronary angioplasty; and

  • 62 worsening of angina or ischaemia needing admission, or new or worsening of congestive heart failure needing admission

  • 29 deaths;

  • 22 reinfarctions;

  • 59 coronary artery bypass grafting/percutaneous transluminal coronary angioplasty; and

  • 59 worsening of angina or ischaemia needing admission, or new or worsening of congestive heart failure needing admission

Berg 2005 2005
  • 10 deaths;

  • 1 reinfarction;

  • 9 strokes;

  • 10 unstable angina pectoris;

  • 9 revascularisations;

  • 2 peripheral vascular surgeries; and

  • 1 sternal wound infection

  • 9 deaths;

  • 3 reinfarction;

  • 5 strokes;

  • 12 unstable angina pectoris;

  • 4 revascularisations;

  • 2 peripheral vascular surgeries; and

  • 1 sternal wound infection

CLARICOR 2006
  • 866 deaths;

  • 468 reinfarctions;

  • 364 cerebrovascular disease;

  • 397 unstable angina pectoris; and

  • 143 peripheral vascular disease

  • 815 deaths;

  • 488 reinfarctions;

  • 321 cerebrovascular disease;

  • 399 unstable angina pectoris; and

  • 148 peripheral vascular disease

CLARIFY 2002
  • 4 deaths;

  • 5 reinfarctions;

  • 2 strokes; and

  • 5 unstable angina pectoris

  • 1 death;

  • 14 reinfarctions;

  • 2 strokes; and

  • 11 unstable angina pectoris

Gupta 1997 1997
  • 1 death; and

  • 2 unstable angina pectoris or myocardial infarctions

  • 1 death; and

  • 4 unstable angina pectoris or myocardial infarction

Hillis 2004 2004
  • 1 heart failure; and

  • 1 perforated diverticulum

  • None

Ikeoka 2009 2009
  • 2 deaths;

  • 1 chronic obstructive pulmonary disease;

  • 1 sepsis; and

  • 1 limb revascularization surgery

  • None

ISAR‐3 2001
  • 16 deaths; and

  • 20 reinfarctions

  • 13 deaths; and

  • 17 reinfarctions

Jackson1999 1999
  • 1 surgery

  • 1 infection

Kaehler 2005 2005
  • 1 death;

  • 4 reinfarctions;

  • 3 strokes; and

  • 25 revascularisations

  • 1 death;

  • 2 reinfarctions; and

  • 32 revascularisations

Kim 2004 2004
  • 2 deaths;

  • 2 reinfarctions; and

  • 13 revascularisations

  • 2 deaths;

  • 1 reinfarction; and

  • 10 revascularisations

Leowattana 2001 2001
  • 1 death;

  • 4 recurrent angina pectoris/myocardial infarction;

  • 5 coronary artery bypass grafting; and

  • 7 percutaneous transluminal coronary angioplasty

  • 1 death;

  • 6 recurrent angina pectoris/myocardial infarction;

  • 4 coronary artery bypass grafting; and

  • 5 percutaneous transluminal coronary angioplasty

MIDAS 2003
  • 1 death; and

  • 2 reinfarctions

  • None

PROVE‐IT 2005
  • 64 deaths;

  • 137 reinfarctions;

  • 23 strokes;

  • 93 hospitalisations for unstable angina; and

  • 352 revascularisations

  • 50 deaths;

  • 154 reinfarctions;

  • 22 strokes;

  • 92 hospitalisations for unstable angina; and

  • 377 revascularisations

Radoi 2003 2003
  • 7 deaths;

  • 9 reinfarctions; and

  • 21 hospitalisations for unstable angina

  • 5 deaths;

  • 8 reinfarctions; and

  • 34 hospitalisations for unstable angina

ROXIS 1997
  • 2 deaths; and

  • 6 severe recurrent ischaemia

  • 5 deaths;

  • 2 reinfarctions; and

  • 7 severe recurrent ischaemia

Sinisalo 1998 1998
  • 1 erysipelas

  • 1 upper respiratory infection requiring antibiotic treatment

TIPTOP 2014
  • 1 death;

  • 1 stroke; and

  • 4 worsening of NYHA class III‐IV and/or hospital admission for congestive heart failure

  • 4 deaths;

  • 1 reinfarction;

  • 2 strokes; and

  • 7 worsening of NYHA class III‐IV and/or hospital admission for congestive heart failure

WIZARD 2003
  • 175 deaths;

  • 145 reinfarctions;

  • 326 revascularisations; and

  • 105 hospitalisations for angina pectoris

  • 188 deaths;

  • 153 reinfarctions;

  • 336 revascularisations; and

  • 103 hospitalisations for angina pectoris

Ütük 2004 2004
  • 2 deaths;

  • 2 reinfarctions;

  • 2 unstable angina pectoris;

  • 7 percutaneous coronary interventions; and

  • 5 coronary artery bypass graftings

  • 5 deaths;

  • 5 reinfarctions;

  • 1 unstable angina pectoris;

  • 4 percutaneous coronary interventions; and

  • 4 coronary artery bypass graftings

24±6 months follow‐up

None of the trials specifically assessed serious adverse event according to ICH‐GCP. Instead, the trials either reported composites of several specific serious adverse events or one specific serious adverse event.

We narratively reported the individual types of serious adverse events in each trial at 24±6 months follow‐up in Table 8.

6. Serious adverse events ‐ 24±6 months follow‐up.
Trial Year Type and number of serious adverse event (antibiotics group) Type and number of serious adverse event (control group)
ACADEMIC 1999
  • 5 deaths;

  • 4 reinfarctions;

  • 1 stroke;

  • 8 hospitalisations for unstable angina pectoris;

  • 9 revascularisations; and

  • 1 resuscitated cardiac arrest

  • 4 deaths;

  • 6 reinfarctions;

  • 3 strokes;

  • 7 hospitalisations for unstable angina pectoris; and

  • 15 revascularisations

ACES 2005
  • 261 deaths due to coronary heart disease, nonfatal myocardial infarctions, percutaneous or surgical coronary revascularisation procedures, or hospitalisations for unstable angina pectoris

  • 281 deaths due to coronary heart disease, nonfatal myocardial infarctions, percutaneous or surgical coronary revascularisation procedures, or hospitalisations for unstable angina pectoris

Berg 2005 2005
  • 10 deaths;

  • 1 reinfarction;

  • 9 strokes;

  • 10 unstable angina pectoris;

  • 9 revascularisations;

  • 2 peripheral vascular surgeries; and

  • 1 sternal wound infection

  • 9 deaths;

  • 3 reinfarctions;

  • 5 strokes;

  • 12 unstable angina pectoris;

  • 4 revascularisations;

  • 2 peripheral vascular surgeries; and

  • 1 sternal wound infection

CLARICOR 2006
  • 212 deaths;

  • 160 reinfarctions;

  • 81 strokes; and

  • 34 peripheral vascular disease

  • 172 deaths;

  • 148 reinfarctions;

  • 68 strokes; and

  • 26 peripheral vascular disease

CLARIFY 2002
  • 4 deaths;

  • 5 reinfarctions;

  • 2 strokes; and

  • 5 unstable angina pectoris

  • 1 death;

  • 14 reinfarctions;

  • 2 strokes; and

  • 11 unstable angina pectoris

Gupta 1997 1997
  • 1 death; and

  • 2 unstable angina pectoris or reinfarctions

  • 1 death; and

  • 4 unstable angina pectoris or reinfarctions

PROVE‐IT 2005
  • 64 deaths;

  • 137 reinfarctions;

  • 23 strokes;

  • 93 hospitalisations for unstable angina pectoris; and

  • 352 revascularisations

  • 50 deaths;

  • 154 reinfarctions;

  • 22 strokes;

  • 92 hospitalisations for unstable angina pectoris; and

  • 377 revascularisations

Quality of life

None of the included trials reported any data on quality of life either at maximum follow‐up or at 24±6 months follow‐up.

Secondary outcomes

Cardiovascular mortality
Maximum follow‐up

At maximum follow‐up, 14/38 trials with a total of 14,180 participants and a mean follow‐up of 25.3 months (range 3.0 to 120.0 months) reported cardiovascular mortality. The specific assessment time points in each trial are presented in Table 5. A total of 547/7096 (7.71%) antibiotic participants died from a cardiac cause versus 511/7084 (7.21%) control participants. Random‐effects meta‐analysis showed that antibiotics versus placebo or no intervention resulted in little to no difference between the treatment groups on the risk of cardiovascular mortality (RR 1.08; 95% CI 0.96 to 1.20; P = 0.20; I2 = 0%; 14,180 participants; 14 trials; high certainty of evidence; Analysis 1.17).

1.17. Analysis.

1.17

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 17: CARDIOVASCULAR MORTALITY

Heterogeneity

Neither visual inspection of the forest plot nor tests for statistical heterogeneity (I2 = 0%; P = 0.55) indicated any heterogeneity.

Risk of bias and sensitivity analyses

Two trials were assessed at low risk of bias (ACADEMIC 1999; CLARICOR 2006). All other trials were assessed at high risk of bias. However, the overall outcome result was dominated by CLARICOR 2006 (80.4% of weight), which was at low risk of bias in all domains. The next two highest‐weighted trials (ACES 2005; PROVE‐IT 2005) were both at low risk of bias in the majority of domains. We therefore decided to assess the risk of bias of the outcome result at low risk of bias.

The sensitivity analysis of trials at low risk of bias showed that antibiotics versus placebo or no intervention seemed to probably increase the risk of cardiovascular mortality (RR 1.11; 95% CI 0.98 to 1.25; P = 0.11; I2= 0%; 4674 participants; 2 trials; moderate certainty of evidence; Analysis 1.18). The corresponding ARI was 1.78% and the NNTH was 57.

1.18. Analysis.

1.18

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 18: Cardiovascular mortality ‐ trials at low risk of bias

The sensitivity analyses on incomplete outcome data showed that incomplete outcome data bias alone had the potential to influence the results (best‐worst fixed‐effect meta‐analysis: RR 0.94; 95% CI 0.84 to 1.04; P = 0.22; 14,192 participants; 14 trials; Analysis 1.19); (worst‐best fixed‐effect meta‐analysis: RR 1.22; 95% CI 1.09 to 1.36; P = 0.0004; 14,192 participants; 14 trials; Analysis 1.20); (modified best‐worst fixed‐effect meta‐analysis: RR 1.00; 95% CI 0.89 to 1.11; P = 0.97; 14,192 participants; 14 trials; Analysis 1.21); (modified worst‐best fixed‐effects meta‐analysis: RR 1.15; 95% CI 1.03 to 1.28; P = 0.01; 14,192 participants; 14 trials; Analysis 1.22). Data were imputed for 5 trials.

1.19. Analysis.

1.19

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 19: Cardiovascular mortality ‐ 'best‐worst case' scenario

1.20. Analysis.

1.20

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 20: Cardiovascular mortality ‐ 'worst‐best case' scenario

1.21. Analysis.

1.21

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 21: Cardiovascular mortality ‐ modified 'best‐worst case' scenario

1.22. Analysis.

1.22

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 22: Cardiovascular mortality ‐ modified 'worst‐best case' scenario

The sensitivity analysis on trials with optimal medical therapy showed that antibiotics versus placebo or no intervention resulted in no evidence of a difference on the risk of cardiovascular mortality (RR 1.07; 95% CI 0.96 to 1.20; P = 0.21; I2= 20%; 13,407 participants; 10 trials; high certainty of evidence; Analysis 1.23).

1.23. Analysis.

1.23

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 23: Cardiovascular mortality ‐ trials with optimal medical therapy

Visual inspection of the funnel plot showed no signs of asymmetry (Figure 5). Based on the visual inspection of the funnel plot, we assessed the risk of publication bias as low.

5.

5

Funnel plot of comparison: 1 Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, outcome: 1.17 CARDIOVASCULAR MORTALITY.

Subgroup analyses

We found no evidence of a difference in subgroups analyses according to antibiotic type (Analysis 1.24); antibody status (Analysis 1.25); use of statins (Analysis 1.26); age above or under 60 years (Analysis 1.27); clinical trial registration status (Analysis 1.28); length of follow‐up above or under 12 months follow‐up (Analysis 1.29); antibiotic class (Analysis 1.30); funding (Analysis 1.31); and control intervention (Analysis 1.32).

1.24. Analysis.

1.24

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 24: Cardiovascular mortality according to type of antibiotic

1.25. Analysis.

1.25

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 25: Cardiovascular mortality according to antibody status

1.26. Analysis.

1.26

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 26: Cardiovascular mortality according to use of statins

1.27. Analysis.

1.27

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 27: Cardiovascular mortality according to the mean age

1.28. Analysis.

1.28

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 28: Cardiovascular mortality according to clinical trial registration status

1.29. Analysis.

1.29

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 29: Cardiovascular mortality according to length of follow‐up

1.30. Analysis.

1.30

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 30: Cardiovascular mortality according to class of antibiotic

1.31. Analysis.

1.31

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 31: Cardiovascular mortality according to funding

1.32. Analysis.

1.32

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 32: Cardiovascular mortality according to control intervention

24±6 months follow‐up

At 24±6 months follow‐up, 5/38 trials with a total of 9044 participants and a mean follow‐up of 23.1 months (range 18.0 to 30.0 months) reported cardiovascular mortality. The specific assessment time points in each trial are presented in Table 6. A total of 152/4512 (3.37%) antibiotic participants died from a cardiac cause versus 102/4532 (2.25%) control participants. Fixed‐effect meta‐analysis showed that antibiotics versus placebo or no intervention increased the risk of cardiovascular mortality (RR 1.50; 95% CI 1.17 to 1.91; P = 0.001; I2 = 0%; 9044 participants; 5 trials; high certainty of evidence; Analysis 2.16). The corresponding ARI was 1.12% and the NNTH was 89 (95% CI 261 to 49).

2.16. Analysis.

2.16

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 16: CARDIOVASCULAR MORTALITY

Heterogeneity

Neither visual inspection of the forest plot nor tests for statistical heterogeneity (I2 = 0%; P = 0.68) indicated any heterogeneity.

Risk of bias and sensitivity analyses

Two trials were assessed at low risk of bias (ACADEMIC 1999; CLARICOR 2006). All other trials were assessed at high risk of bias. However, the overall outcome result was dominated by CLARICOR 2006 (75.8% of weight), which was at low risk of bias in all domains. The next two highest‐weighted trials (ACADEMIC 1999; PROVE‐IT 2005) were either at low risk of bias in all domains or at low risk of bias in the majority of domains, respectively. We therefore decided to assess the risk of bias of the outcome result at low risk of bias.

The sensitivity analysis of trials at low risk of bias showed that antibiotics versus placebo or no intervention probably increased the risk of cardiovascular mortality (RR 1.43; 95% CI 1.09 to 1.89; P = 0.01; I2 = 0%; 4674 participants; 2 trials; moderate certainty of evidence; Analysis 2.17). The corresponding ARI was 1.51% and the NNTH was 66 (95% CI 319 to 32).

2.17. Analysis.

2.17

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 17: Cardiovascular mortality ‐ trials at low risk of bias

The sensitivity analyses on incomplete outcome data showed that incomplete outcome data bias alone did not have the potential to influence the results (best‐worst fixed‐effect meta‐analysis: RR 1.39; 95% CI 1.09 to 1.77; P = 0.007; 9045 participants; 5 trials; Analysis 2.18); (worst‐best fixed‐effect meta‐analysis: RR 1.60; 95% CI 1.26 to 2.04; P = 0.0001; 9045 participants; 5 trials; Analysis 2.19); (modified best‐worst fixed‐effect meta‐analysis: RR 1.44; 95% CI 1.13 to 1.84; P = 0.003; 9045 participants; 5 trials; Analysis 2.20); (modified worst‐best fixed‐effect meta‐analysis: RR 1.56; 95% CI 1.22 to 1.98; P = 0.0004; 9045 participants; 5 trials; Analysis 2.21). Data were imputed for 2 trials.

2.18. Analysis.

2.18

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 18: Cardiovascular mortality ‐ 'best‐worst case' scenario

2.19. Analysis.

2.19

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 19: Cardiovascular mortality ‐ 'worst‐best case' scenario

2.20. Analysis.

2.20

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 20: Cardiovascular mortality ‐ modified 'best‐worst case' scenario

2.21. Analysis.

2.21

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 21: Cardiovascular mortality ‐ modified 'worst‐best case' scenario

The sensitivity analysis on trials with optimal medical therapy showed that antibiotics versus placebo or no intervention probably increased the risk of cardiovascular mortality (RR 1.52; 95% CI 1.18 to 1.95; I2 = 0%; 8682 participants; 3 trials; moderate certainty of evidence; Analysis 2.22). The corresponding ARI was 1.15% and the NNTH was 87 (95% CI 250 to 47).

2.22. Analysis.

2.22

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 22: Cardiovascular mortality ‐ trials with optimal medical therapy

Subgroup analyses

We found no evidence of a difference in subgroups analyses according to antibiotic type (Analysis 2.23); antibody status (Analysis 2.24); use of statins (Analysis 2.25); age above or under 60 years (Analysis 2.26); clinical trial registration status (Analysis 2.27); antibiotic class (Analysis 2.28); and funding (Analysis 2.29). Subgroup analysis according to control intervention could not be conducted due to all trials being placebo‐controlled (Analysis 2.30).

2.23. Analysis.

2.23

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 23: Cardiovascular mortality according to type of antibiotic

2.24. Analysis.

2.24

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 24: Cardiovascular mortality according to antibody status

2.25. Analysis.

2.25

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 25: Cardiovascular mortality according to use of statins

2.26. Analysis.

2.26

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 26: Cardiovascular mortality according to the mean age

2.27. Analysis.

2.27

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 27: Cardiovascular mortality according to clinical trial registration status

2.28. Analysis.

2.28

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 28: Cardiovascular mortality according to class of antibiotic

2.29. Analysis.

2.29

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 29: Cardiovascular mortality according to funding

2.30. Analysis.

2.30

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 30: Cardiovascular mortality according to control intervention

Myocardial infarction
Maximum follow‐up

At maximum follow‐up, 17/38 trials with a total of 25,523 participants and a mean follow‐up of 20.7 months (range 3.0 to 120.0 months) reported myocardial infarction. The specific assessment time points in each trial are presented in Table 5. A total of 968/12,745 (7.60%) antibiotic participants had a myocardial infarction versus 1028/12,778 (8.05%) control participants. Random‐effects meta‐analysis showed that antibiotics versus placebo or no intervention resulted in little to no difference between the treatment groups on the risk of myocardial infarction (RR 0.95; 95% CI 0.88 to 1.03; P = 0.23; I2 = 0%; 25,523 participants; 17 trials; high certainty of evidence; Analysis 1.33).

1.33. Analysis.

1.33

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 33: MYOCARDIAL INFARCTION

Heterogeneity

Neither visual inspection of the forest plot nor tests for statistical heterogeneity (I2 = 0%; P = 0.72) indicated any heterogeneity.

Risk of bias and sensitivity analyses

Three trials were assessed at low risk of bias (ACADEMIC 1999; AZACS 2003; CLARICOR 2006). All other trials were assessed at high risk of bias. However, the overall outcome result was dominated by CLARICOR 2006 (52.9% of weight), which was at low risk of bias in all domains. The next three highest‐weighted trials (ACES 2005; PROVE‐IT 2005; WIZARD 2003) were all at low risk of bias in the majority of domains. We therefore decided to assess the risk of bias of the outcome result at low risk of bias.

The sensitivity analysis of trials at low risk of bias showed that antibiotics versus placebo or no intervention probably resulted in no evidence of a difference on the risk of myocardial infarction (RR 0.96; 95% CI 0.86 to 1.07; P = 0.46; I2 = 0%; 6113 participants; 3 trials; moderate certainty of evidence; Analysis 1.34).

1.34. Analysis.

1.34

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 34: Myocardial infarction ‐ trials at low risk of bias

The sensitivity analyses on incomplete outcome data showed that incomplete outcome data bias alone had the potential to influence the results (best‐worst random‐effects meta‐analysis: RR 0.82; 95% CI 0.72 to 0.94; 25,564 participants; P = 0.004; 17 trials; Analysis 1.35); (worst‐best random‐effects meta‐analysis: RR 1.05; 95% CI 0.90 to 1.24; P = 0.53; 25,564 participants; 17 trials; Analysis 1.36); (modified best‐worst random‐effects meta‐analysis: RR 0.91; 95% CI 0.84 to 0.99; P = 0.02; 25,564 participants; 17 trials; Analysis 1.37); (modified worst‐best random‐effects meta‐analysis: RR 1.00; 95% CI 0.90 to 1.10; P = 0.98; 25,564 participants; 17 trials; Analysis 1.38). Data were imputed for 8 trials.

1.35. Analysis.

1.35

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 35: Myocardial infarction ‐ 'best‐worst case' scenario

1.36. Analysis.

1.36

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 36: Myocardial infarction ‐ 'worst‐best case' scenario

1.37. Analysis.

1.37

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 37: Myocardial infarction ‐ modified 'best‐worst case' scenario

1.38. Analysis.

1.38

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 38: Myocardial infarction ‐ modified 'worst‐best case' scenario

The sensitivity analysis on trials with optimal medical therapy showed that antibiotics versus placebo or no intervention resulted in no evidence of a difference on the risk of myocardial infarction (RR 0.95; 95% CI 0.88 to 1.03; P = 0.24; I2= 0%; 23,327 participants; 12 trials; high certainty of evidence; Analysis 1.39).

1.39. Analysis.

1.39

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 39: Myocardial infarction ‐ trials with optimal medical therapy

Visual inspection of the funnel plot showed no signs of asymmetry (Figure 6). Based on the visual inspection of the funnel plot, we assessed the risk of publication bias as low.

6.

6

Funnel plot of comparison: 1 Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, outcome: 1.33 MYOCARDIAL INFARCTION.

Subgroup analyses

We found no evidence of a difference in subgroups analyses according to antibiotic type (Analysis 1.40); antibody status (Analysis 1.41); use of statins (Analysis 1.42); age above or under 60 years (Analysis 1.43); clinical trial registration status (Analysis 1.44); length of follow‐up above or under 12 months follow‐up (Analysis 1.45); antibiotic class (Analysis 1.46); funding (Analysis 1.47); and control intervention (Analysis 1.48).

1.40. Analysis.

1.40

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 40: Myocardial infarction according to type of antibiotic

1.41. Analysis.

1.41

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 41: Myocardial infarction according to antibody status

1.42. Analysis.

1.42

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 42: Myocardial infarction according to use of statins

1.43. Analysis.

1.43

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 43: Myocardial infarction according to the mean age

1.44. Analysis.

1.44

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 44: Myocardial infarction according to clinical trial registration status

1.45. Analysis.

1.45

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 45: Myocardial infarction according to length of follow‐up

1.46. Analysis.

1.46

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 46: Myocardial infarction according to class of antibiotic

1.47. Analysis.

1.47

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 47: Myocardial infarction according to funding

1.48. Analysis.

1.48

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 48: Myocardial infarction according to control intervention

24±6 months follow‐up

At 24±6 months follow‐up, 5/38 trials with a total of 9457 participants and a mean follow‐up of 24.3 months (range 18.5 to 30.0 months) reported myocardial infarction. The specific assessment time points in each trial are presented in Table 6. A total of 307/4710 (6.52%) antibiotic participants had a myocardial infarction versus 325/4747 (6.85%) control participants. Fixed‐effect meta‐analysis showed that antibiotics versus placebo or no intervention probably resulted in no evidence of a difference on the risk of myocardial infarction (RR 0.95; 95% CI 0.82 to 1.11; P = 0.53; I2 = 43%; 9457 participants; 5 trials; moderate certainty of evidence; Analysis 2.31).

2.31. Analysis.

2.31

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 31: MYOCARDIAL INFARCTION

Heterogeneity

Both visual inspection of the forest plot and tests for statistical heterogeneity (I2 = 43%; P = 0.14) indicated moderate heterogeneity.

Risk of bias and sensitivity analyses

Two trials were assessed at low risk of bias (ACADEMIC 1999; CLARICOR 2006). All other trials were assessed at high risk of bias. However, the overall outcome result was dominated by CLARICOR 2006 (45.4% of weight) and PROVE‐IT 2005 (47.5% of weight), which were at low risk of bias in all domains and in the majority of domains, respectively. We therefore decided to assess the risk of bias of the outcome result at low risk of bias.

The sensitivity analysis of trials at low risk of bias showed that antibiotics versus placebo or no intervention probably resulted in no evidence of a difference on the risk of myocardial infarction (RR 1.08; 95% CI 0.87 to 1.33; P = 0.48; I2 = 0%; 4674 participants; 2 trials; moderate certainty of evidence; Analysis 2.32).

2.32. Analysis.

2.32

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 32: Myocardial infarction ‐ trials at low risk of bias

The sensitivity analyses on incomplete outcome data showed that incomplete outcome data bias alone did not have the potential to influence the results (best‐worst fixed‐effect meta‐analysis: RR 0.93; 95% CI 0.80 to 1.08; P = 0.34; 9458 participants; 5 trials; Analysis 2.33); (worst‐best fixed‐effect meta‐analysis: RR 0.99; 95% CI 0.85 to 1.15; P = 0.86; 9458 participants; 5 trials; Analysis 2.34); (modified best‐worst fixed‐effect meta‐analysis: RR 0.94; 95% CI 0.81 to 1.09; P = 0.42; 9458 participants; 5 trials; Analysis 2.35); (modified worst‐best fixed‐effect meta‐analysis: RR 0.97; 95% CI 0.84 to 1.13; P = 0.71; 9458 participants; 5 trials; Analysis 2.36). Data were imputed for 2 trials.

2.33. Analysis.

2.33

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 33: Myocardial infarction ‐ 'best‐worst case' scenario

2.34. Analysis.

2.34

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 34: Myocardial infarction ‐ 'worst‐best case' scenario

2.35. Analysis.

2.35

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 35: Myocardial infarction ‐ modified 'best‐worst case' scenario

2.36. Analysis.

2.36

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 36: Myocardial infarction ‐ modified 'worst‐best case' scenario

The sensitivity analysis on trials with optimal medical therapy suggested that antibiotics versus placebo or no intervention resulted in no evidence of a difference on the risk of myocardial infarction (RR 0.96; 95% CI 0.83 to 1.12; P = 0.64; I2 = 66%; 8682 participants; 3 trials; low certainty of evidence; Analysis 2.37).

2.37. Analysis.

2.37

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 37: Myocardial infarction ‐ trials with optimal medical therapy

Subgroup analyses

We found evidence of a difference in subgroup analysis according to clinical trial registration status (I2= 77.8%; P = 0.03; Analysis 2.42). The unregistered trials suggested that antibiotics versus placebo or no intervention reduced the risk of myocardial infarction (RR 0.44; 95% CI 0.21 to 0.91; P = 0.03; I2 = 0%; 923 participants; 3 trials; low certainty of evidence; Analysis 2.42), while the registered trials showed that antibiotics versus placebo or no intervention probably resulted in no evidence of a difference on the risk of myocardial infarction (RR 0.99; 95% CI 0.81 to 1.21; P = 0.93; I2= 39%; 8534 participants; 2 trials; moderate certainty of evidence; Analysis 2.42).

2.42. Analysis.

2.42

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 42: Myocardial infarction according to clinical trial registration status

All remaining tests for subgroup differences showed no evidence of a difference in subgroups analyses according to antibiotic type (Analysis 2.38); antibody status (Analysis 2.39); use of statins (Analysis 2.40); age above or under 60 years (Analysis 2.41); antibiotic class (Analysis 2.43); and funding (Analysis 2.44). Subgroup analysis according to control intervention could not be conducted due to all trials being placebo‐controlled (Analysis 2.45).

2.38. Analysis.

2.38

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 38: Myocardial infarction according to type of antibiotic

2.39. Analysis.

2.39

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 39: Myocardial infarction according to antibody status

2.40. Analysis.

2.40

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 40: Myocardial infarction according to use of statins

2.41. Analysis.

2.41

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 41: Myocardial infarction according to the mean age

2.43. Analysis.

2.43

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 43: Myocardial infarction according to class of antibiotic

2.44. Analysis.

2.44

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 44: Myocardial infarction according to funding

2.45. Analysis.

2.45

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 45: Myocardial infarction according to control intervention

Stroke
Maximum follow‐up

At maximum follow‐up, 9/38 trials with a total of 14,774 participants and a mean follow‐up of 31.9 months (range 6.0 to 120.0 months) reported stroke. The specific assessment time points in each trial are presented in Table 5. A total of 455/7365 (6.18%) antibiotic participants had a stroke versus 404/7409 (5.45%) control participants. Fixed‐effect meta‐analysis showed that antibiotics versus placebo or no intervention seemed to increase the risk of stroke (RR 1.14; 95% CI 1.00 to 1.29; P = 0.04; I2 = 0%; 14,774 participants; 9 trials; high certainty of evidence; Analysis 1.49). The corresponding ARI was 0.73% and the NNTH was 138.

1.49. Analysis.

1.49

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 49: STROKE

Heterogeneity

Neither visual inspection of the forest plot nor tests for statistical heterogeneity (I2 = 0%; P = 0.83) indicated any heterogeneity.

Risk of bias and sensitivity analyses

Two trials were assessed at low risk of bias (ACADEMIC 1999; CLARICOR 2006). All other trials were assessed at high risk of bias. However, the overall outcome result was dominated by CLARICOR 2006 (79.3% of weight), which was at low risk of bias in all domains. The next two highest‐weighted trials (ACES 2005; PROVE‐IT 2005) were both at low risk of bias in the majority of domains. We therefore decided to assess the risk of bias of the outcome result at low risk of bias.

The sensitivity analysis of trials at low risk of bias showed that antibiotics versus placebo or no intervention seemed to increase the risk of stroke (RR 1.14; 95% CI 0.99 to 1.31; P = 0.06; I2 = 12%; 4674 participants; 2 trials; moderate certainty of evidence; Analysis 1.50). The corresponding ARI was 1.94% and the NNTH was 52.

1.50. Analysis.

1.50

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 50: Stroke ‐ trials at low risk of bias

The sensitivity analyses on incomplete outcome data showed that incomplete outcome data bias alone had the potential to influence the results (best‐worst fixed‐effect meta‐analysis: RR 0.98; 95% CI 0.87 to 1.11; 14,779 participants; P = 0.75; 9 trials; Analysis 1.51); (worst‐best fixed‐effect meta‐analysis: RR 1.29; 95% CI 1.14 to 1.45; P < 0.0001; 14,779 participants; 9 trials; Analysis 1.52); (modified best‐worst fixed‐effect meta‐analysis: RR 1.05; 95% CI 0.93 to 1.19; P = 0.41; 14,779 participants; 9 trials; Analysis 1.53); (modified worst‐best fixed‐effect meta‐analysis: RR 1.21; 95% CI 1.07 to 1.37; P = 0.002; 14,779 participants; 9 trials; Analysis 1.54). Data were imputed for 4 trials.

1.51. Analysis.

1.51

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 51: Stroke ‐ 'best‐worst case' scenario

1.52. Analysis.

1.52

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 52: Stroke ‐ 'worst‐best case' scenario

1.53. Analysis.

1.53

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 53: Stroke ‐ modified 'best‐worst case' scenario

1.54. Analysis.

1.54

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 54: Stroke ‐ modified 'worst‐best case' scenario

The sensitivity analysis on trials with optimal medical therapy showed that antibiotics versus placebo or no intervention seemed to increase the risk of stroke (RR 1.13; 95% CI 0.99 to 1.28; P = 0.06; I2= 0%; 13,672 participants; 6 trials; high certainty of evidence; Analysis 1.55). The corresponding ARI was 0.72% and the NNTH was 140.

1.55. Analysis.

1.55

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 55: Stroke ‐ trials with optimal medical therapy

Subgroup analyses

We found no evidence of a difference in subgroups analyses according to antibiotic type (Analysis 1.56); antibody status (Analysis 1.57); use of statins (Analysis 1.58); age above or under 60 years (Analysis 1.59); clinical trial registration status (Analysis 1.60); length of follow‐up above or under 12 months follow‐up (Analysis 1.61); antibiotic class (Analysis 1.62); funding (Analysis 1.63); and control intervention (Analysis 1.64).

1.56. Analysis.

1.56

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 56: Stroke according to type of antibiotic

1.57. Analysis.

1.57

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 57: Stroke according to antibody status

1.58. Analysis.

1.58

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 58: Stroke according to use of statins

1.59. Analysis.

1.59

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 59: Stroke according to the mean age

1.60. Analysis.

1.60

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 60: Stroke according to clinical trial registration status

1.61. Analysis.

1.61

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 61: Stroke according to length of follow‐up

1.62. Analysis.

1.62

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 62: Stroke according to class of antibiotic

1.63. Analysis.

1.63

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 63: Stroke according to funding

1.64. Analysis.

1.64

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 64: Stroke according to control intervention

24±6 months follow‐up

At 24±6 months follow‐up, 5/38 trials with a total of 9457 participants and a mean follow‐up of 24.3 months (range 18.5 to 30.0 months) reported stroke. The specific assessment time points in each trial are presented in Table 6. A total of 116/4710 (2.46%) antibiotic participants had a stroke versus 100/4747 (2.11%) control participants. Fixed‐effect meta‐analysis showed that antibiotics versus placebo or no intervention resulted in no evidence of a difference on the risk of stroke (RR 1.17; 95% CI 0.90 to 1.52; P = 0.24; I2 = 0%; 9457 participants; 5 trials; high certainty of evidence; Analysis 2.46).

2.46. Analysis.

2.46

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 46: STROKE

Heterogeneity

Neither visual inspection of the forest plot nor tests for statistical heterogeneity (I2 = 0%; P = 0.75) indicated any heterogeneity.

Risk of bias and sensitivity analyses

Two trials were assessed at low risk of bias (ACADEMIC 1999; CLARICOR 2006). All other trials were assessed at high risk of bias. However, the overall outcome result was dominated by CLARICOR 2006 (67.9% of weight), which was at low risk of bias in all domains. The next two highest‐weighted trials (Berg 2005; PROVE‐IT 2005) were both at low risk of bias in the majority of domains. We therefore decided to assess the risk of bias of the outcome result at low risk of bias.

The sensitivity analysis of trials at low risk of bias showed that antibiotics versus placebo or no intervention probably resulted in no evidence of a difference on the risk of stroke (RR 1.17; 95% CI 0.86 to 1.60; P = 0.33; I2 = 17%; 4674 participants; 2 trials; moderate certainty of evidence; Analysis 2.47).

2.47. Analysis.

2.47

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 47: Stroke ‐ trials at low risk of bias

The sensitivity analyses on incomplete outcome data showed that incomplete outcome data bias alone had the potential to influence the results (best‐worst fixed‐effect meta‐analysis: RR 1.08; 95% CI 0.84 to 1.40; 9458 participants; P = 0.54; 5 trials; Analysis 2.48); (worst‐best fixed‐effect meta‐analysis: RR 1.28; 95% CI 0.99 to 1.66; P = 0.06; 9458 participants; 5 trials; Analysis 2.49); (modified best‐worst fixed‐effect meta‐analysis: RR 1.13; 95% CI 0.87 to 1.46; P = 0.37; 9458 participants; 5 trials; Analysis 2.50); (modified worst‐best fixed‐effect meta‐analysis: RR 1.23; 95% CI 0.95 to 1.60; P = 0.12; 9458 participants; 5 trials; Analysis 2.51). Data were imputed for 2 trials.

2.48. Analysis.

2.48

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 48: Stroke ‐ 'best‐worst case' scenario

2.49. Analysis.

2.49

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 49: Stroke ‐ 'worst‐best case' scenario

2.50. Analysis.

2.50

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 50: Stroke ‐ modified 'best‐worst case' scenario

2.51. Analysis.

2.51

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 51: Stroke ‐ modified 'worst‐best case' scenario

The sensitivity analysis on trials with optimal medical therapy showed that antibiotics versus placebo or no intervention probably resulted in no evidence of a difference on the risk of stroke (RR 1.16; 95% CI 0.88 to 1.53; I2 = 0%; 8682 participants; P = 0.28; 3 trials; moderate certainty of evidence; Analysis 2.52).

2.52. Analysis.

2.52

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 52: Stroke ‐ trials with optimal medical therapy

Subgroup analyses

We found no evidence of a difference in subgroups analyses according to antibiotic type (Analysis 2.53); antibody status (Analysis 2.54); use of statins (Analysis 2.55); age above or under 60 years (Analysis 2.56); clinical trial registration status (Analysis 2.57); antibiotic class (Analysis 2.58); and funding (Analysis 2.59). Subgroup analysis according to control intervention could not be conducted due to all trials being placebo‐controlled (Analysis 2.60).

2.53. Analysis.

2.53

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 53: Stroke according to type of antibiotic

2.54. Analysis.

2.54

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 54: Stroke according to antibody status

2.55. Analysis.

2.55

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 55: Stroke according to use of statins

2.56. Analysis.

2.56

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 56: Stroke according to the mean age

2.57. Analysis.

2.57

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 57: Stroke according to clinical trial registration status

2.58. Analysis.

2.58

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 58: Stroke according to class of antibiotic

2.59. Analysis.

2.59

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 59: Stroke according to funding

2.60. Analysis.

2.60

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 60: Stroke according to control intervention

Sudden cardiac death
Maximum follow‐up

At maximum follow‐up, 2/38 trials with a total of 4520 participants and a mean follow‐up of 69.3 months (range 18.5 to 120.0 months) reported sudden cardiac death. The specific assessment time points in each trial are presented in Table 5. A total of 203/2246 (9.04%) antibiotic participants died suddenly versus 190/2274 (8.36%) control participants. Fixed‐effect meta‐analysis showed that antibiotics versus placebo or no intervention probably resulted in no evidence of a difference on the risk of sudden cardiac death (RR 1.08; 95% CI 0.90 to 1.31; P = 0.41; I2 = 0%; 4520 participants; 2 trials; moderate certainty of evidence; Analysis 1.65).

1.65. Analysis.

1.65

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 65: SUDDEN CARDIAC DEATH

Heterogeneity

Neither visual inspection of the forest plot nor tests for statistical heterogeneity (I2 = 0%; P = 0.53) indicated any heterogeneity.

Risk of bias and sensitivity analyses

One trial was assessed at low risk of bias (CLARICOR 2006). The other trial (CLARIFY 2002) only had one bias risk domain of minor concern (selective outcome reporting) at unclear risk of bias. Hence, the risk of bias of the outcome result was assessed at low risk of bias.

The sensitivity analysis of trials at low risk of bias showed that antibiotics versus placebo or no intervention probably resulted in no evidence of a difference on the risk of sudden cardiac death (RR 1.08; 95% CI 0.89 to 1.30; P = 0.44; 4372 participants; 1 trial; moderate certainty of evidence; Analysis 1.66).

1.66. Analysis.

1.66

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 66: Sudden cardiac death ‐ trials at low risk of bias

The sensitivity analyses on incomplete outcome data showed that incomplete outcome data bias alone did not have the potential to influence the results (best‐worst fixed‐effect meta‐analysis: RR 1.00; 95% CI 0.83 to 1.20; 4521 participants; P = 0.99; 2 trials; Analysis 1.67); (worst‐best fixed‐effect meta‐analysis: RR 1.14; 95% CI 0.95 to 1.37; P = 0.16; 4521 participants; 2 trials; Analysis 1.68); (modified best‐worst fixed‐effect meta‐analysis: RR 1.04; 95% CI 0.86 to 1.25; P = 0.69; 4521 participants; 2 trials; Analysis 1.69); (modified worst‐best fixed‐effect meta‐analysis: RR 1.11; 95% CI 0.92 to 1.34; P = 0.28; 4521 participants; 2 trials; Analysis 1.70). Data were imputed for 1 trial.

1.67. Analysis.

1.67

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 67: Sudden cardiac death ‐ 'best‐worst case' scenario

1.68. Analysis.

1.68

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 68: Sudden cardiac death ‐ 'worst‐best case' scenario

1.69. Analysis.

1.69

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 69: Sudden cardiac death ‐ modified 'best‐worst case' scenario

1.70. Analysis.

1.70

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 70: Sudden cardiac death ‐ modified 'worst‐best case' scenario

Sensitivity analysis on optimal medical therapy was not conducted due to both trials including optimal medical therapy.

Subgroup analyses

We found no evidence of a difference in subgroups analyses according to clinical trial registration status (Analysis 1.71) and funding (Analysis 1.72). Subgroup analyses according to antibiotic type (Analysis 1.73); antibody status (Analysis 1.74); use of statins (Analysis 1.75); age above or under 60 years (Analysis 1.76); length of follow‐up above or under 12 months follow‐up (Analysis 1.77); antibiotic class (Analysis 1.78); and control intervention (Analysis 1.79) could not be conducted due to both trials being included in the same subgroup.

1.71. Analysis.

1.71

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 71: Sudden cardiac death according to clinical trial registration status

1.72. Analysis.

1.72

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 72: Sudden cardiac death according to funding

1.73. Analysis.

1.73

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 73: Sudden cardiac death according to type of antibiotic

1.74. Analysis.

1.74

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 74: Sudden cardiac death according to antibody status

1.75. Analysis.

1.75

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 75: Sudden cardiac death according to use of statins

1.76. Analysis.

1.76

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 76: Sudden cardiac death according to the mean age

1.77. Analysis.

1.77

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 77: Sudden cardiac death according to length of follow‐up

1.78. Analysis.

1.78

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 78: Sudden cardiac death according to class of antibiotic

1.79. Analysis.

1.79

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 79: Sudden cardiac death according to control intervention

24±6 months follow‐up

At 24±6 months follow‐up, 2/38 trials with a total of 4520 participants and a mean follow‐up of 24.3 months (range 18.5 to 30.0 months) reported sudden cardiac death. The specific assessment time points in each trial are presented in Table 6. A total of 98/2246 (4.36%) antibiotic participants died suddenly versus 56/2274 (2.46%) control participants. Fixed‐effect meta‐analysis showed that antibiotics versus placebo or no intervention probably increased the risk of sudden cardiac death (RR 1.77; 95% CI 1.28 to 2.44; P = 0.0005; I2 = 0%; 4520 participants; 2 trials; moderate certainty of evidence; Analysis 2.61). The corresponding ARI was 1.9% and the NNTH was 53 (95% CI 145 to 28).

2.61. Analysis.

2.61

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 61: SUDDEN CARDIAC DEATH

Heterogeneity

Neither visual inspection of the forest plot nor tests for statistical heterogeneity (I2 = 0%; P = 0.74) indicated any heterogeneity.

Risk of bias and sensitivity analyses

One trial was assessed at low risk of bias (CLARICOR 2006). The other trial (CLARIFY 2002) only had one bias risk domain of minor concern (selective outcome reporting) at unclear risk of bias. Hence, the risk of bias of the outcome result was assessed at low risk of bias.

The sensitivity analysis of trials at low risk of bias showed that antibiotics versus placebo or no intervention probably increased the risk of sudden cardiac death (RR 1.75; 95% CI 1.27 to 2.42; P = 0.0007; 4372 participants; 1 trial; moderate certainty of evidence; Analysis 2.62). The corresponding ARI was 1.92% and the NNTH was 52 (95% CI 147 to 28).

2.62. Analysis.

2.62

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 62: Sudden cardiac death ‐ trials at low risk of bias

The sensitivity analyses on incomplete outcome data showed that incomplete outcome data bias alone did not have the potential to influence the results (best‐worst fixed‐effect meta‐analysis: RR 1.68; 95% CI 1.22 to 2.30; 4521 participants; P = 0.001; 2 trials; Analysis 2.63); (worst‐best fixed‐effect meta‐analysis: RR 1.91; 95% CI 1.39 to 2.62; P < 0.0001; 4521 participants; 2 trials; Analysis 2.64); (modified best‐worst fixed‐effect meta‐analysis: RR 1.74; 95% CI 1.26 to 2.39; P = 0.0007; 4521 participants; 2 trials; Analysis 2.65); (modified worst‐best fixed‐effect meta‐analysis: RR 1.84; 95% CI 1.34 to 2.53; P = 0.0002; 4521 participants; 2 trials; Analysis 2.66). Data were imputed for 1 trial.

2.63. Analysis.

2.63

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 63: Sudden cardiac death ‐ 'best‐worst case' scenario

2.64. Analysis.

2.64

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 64: Sudden cardiac death ‐ 'worst‐best case' scenario

2.65. Analysis.

2.65

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 65: Sudden cardiac death ‐ modified 'best‐worst case' scenario

2.66. Analysis.

2.66

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 66: Sudden cardiac death ‐ modified 'worst‐best case' scenario

Sensitivity analysis on optimal medical therapy was not conducted due to both trials including optimal medical therapy.

Subgroup analyses

We found no evidence of a difference in subgroups analyses according to clinical trial registration status (Analysis 2.67) and funding (Analysis 2.68). Subgroup analyses according to antibiotic type (Analysis 2.69); antibody status (Analysis 2.70); use of statins (Analysis 2.71); age above or under 60 years (Analysis 2.72); antibiotic class (Analysis 2.73); and control intervention (Analysis 2.74) could not be conducted due to both trials being included in the same subgroup.

2.67. Analysis.

2.67

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 67: Sudden cardiac death according to clinical trial registration status

2.68. Analysis.

2.68

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 68: Sudden cardiac death according to funding

2.69. Analysis.

2.69

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 69: Sudden cardiac death according to type of antibiotic

2.70. Analysis.

2.70

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 70: Sudden cardiac death according to antibody status

2.71. Analysis.

2.71

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 71: Sudden cardiac death according to use of statins

2.72. Analysis.

2.72

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 72: Sudden cardiac death according to the mean age

2.73. Analysis.

2.73

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 73: Sudden cardiac death according to class of antibiotic

2.74. Analysis.

2.74

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 74: Sudden cardiac death according to control intervention

Additional post hoc outcomes

Hospitalisation for any cause
Maximum follow‐up

At maximum follow‐up, 7/38 trials with a total of 18,615 participants and a mean follow‐up of 17.9 months reported hospitalisation for any cause. The specific assessment time points in each trial are presented in Table 5. A total of 395/9298 (4.25%) antibiotics participants were hospitalised for any cause versus 381/9317 (4.09%) control participants. Fixed‐effect meta‐analysis showed that antibiotics versus placebo or no intervention resulted in no evidence of a difference on the risk of hospitalisation for any cause (RR 1.04; 95% CI 0.91 to 1.19; P = 0.56; I2= 0%; 18,615 participants; 7 trials; high certainty of evidence, Analysis 1.80).

1.80. Analysis.

1.80

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 80: HOSPITALISATION FOR ANY CAUSE

24±6 months follow‐up

At 24±6 months follow‐up, 2/38 trials with a total of 4464 participants and a mean follow‐up of 24 months reported hospitalisation for any cause. The specific assessment time points in each trial are presented in Table 6. A total of 101/2226 (4.54%) antibiotics participants were hospitalised for any cause versus 99/2238 (4.42%) control participants. Fixed‐effect meta‐analysis showed that antibiotics versus placebo or no intervention probably resulted in no evidence of a difference on the risk of hospitalisation for any cause (RR 1.02; 95% CI 0.78 to 1.34; P = 0.85; I2= 0%; 4464 participants; 2 trials; moderate certainty of evidence; Analysis 2.75).

2.75. Analysis.

2.75

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 75: HOSPITALISATION FOR ANY CAUSE

Revascularisation
Maximum follow‐up

At maximum follow‐up, 11/38 trials with a total of 19,631 participants and a mean follow‐up of 16.7 months reported revascularisation. The specific assessment time points in each trial are presented in Table 5. A total of 1259/9810 (12.8%) antibiotics participants were revascularised versus 1292/9821 (13.2%) control participants. Fixed‐effect meta‐analysis showed that antibiotics versus placebo or no intervention resulted in no evidence of a difference on the risk of revascularisation (RR 0.98; 95% CI 0.91 to 1.05; P = 0.53; I2= 0%; 19,631 participants; 11 trials; high certainty of evidence; Analysis 1.81).

1.81. Analysis.

1.81

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 81: REVASCULARISATION

24±6 months follow‐up

At 24±6 months follow‐up, 3/38 trials with a total of 4937 participants and a mean follow‐up of 24 months reported revascularisation. The specific assessment time points in each trial are presented in Table 6. A total of 370/2464 (15.0%) antibiotics participants were revascularised versus 396/2473 (16.0%) control participants. Fixed‐effect meta‐analysis showed that antibiotics versus placebo or no intervention probably resulted in no evidence of a difference on the risk of revascularisation (RR 0.94; 95% CI 0.83 to 1.07; P = 0.34; I2= 38%; 4937 participants; 3 trials; moderate certainty of evidence; Analysis 2.76).

2.76. Analysis.

2.76

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 76: REVASCULARISATION

Unstable angina pectoris
Maximum follow‐up

At maximum follow‐up, 9/38 trials with a total of 22,172 participants and a mean follow‐up of 32.2 months reported unstable angina pectoris. The specific assessment time points in each trial are presented in Table 5. A total of 743/11,068 (6.71%) antibiotics participants had unstable angina pectoris versus 738/11,104 (6.65%) control participants. Fixed‐effect meta‐analysis showed that antibiotics versus placebo or no intervention resulted in no evidence of a difference on the risk of unstable angina pectoris (RR 1.02; 95% CI 0.92 to 1.12; P = 0.76; I2= 0%; 22,172 participants; 9 trials; high certainty of evidence; Analysis 1.82).

1.82. Analysis.

1.82

Comparison 1: Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up, Outcome 82: UNSTABLE ANGINA PECTORIS

24±6 months follow‐up

At 24±6 months follow‐up, 4/38 trials with a total of 5085 participants and a mean follow‐up of 22.6 months reported unstable angina pectoris. The specific assessment time points in each trial are presented in Table 6. A total of 116/2538 (4.57%) antibiotics participants had unstable angina pectoris versus 122/2547 (4.79%) control participants. Random‐effects meta‐analysis showed that antibiotics probably resulted in no evidence of a difference on the risk of unstable angina pectoris (RR 0.96; 95% CI 0.75 to 1.23; P = 0.72; I2= 0%; 5085 participants; 4 trials; moderate certainty of evidence; Analysis 2.77).

2.77. Analysis.

2.77

Comparison 2: Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up, Outcome 77: UNSTABLE ANGINA PECTORIS

'Summary of findings' tables

Our main results (i.e. primary and secondary outcomes) are summarised in the Table 1 (maximum follow‐up) and the Table 2 (24±6 months follow‐up).

Discussion

Summary of main results

We were able to include 38 trials reported in 61 publications randomising a total of 26,638 participants with coronary heart disease. A total of 23/38 trials including 26,078 participants reported data that could be meta‐analysed. Three trials (ACADEMIC 1999; AZACS 2003; CLARICOR 2006) and all outcome results were assessed at low risk of bias. The remaining trials were at high risk of bias mainly due to domains being at unclear risk of bias. Trials assessing the effects of macrolides (28 trials randomising 22,059 participants) and quinolones (two trials randomising 4162 participants) contributed with the vast majority of the data, while tetracyclines (eight trials randomising 417 participants) contributed with insufficient data to evaluate its effect for secondary prevention of coronary heart disease.

At maximum follow‐up, meta‐analyses showed that antibiotics seemed to increase the risk of all‐cause mortality, stroke, and probably also cardiovascular mortality. Regarding the risk of myocardial infarction, meta‐analysis showed little to no difference between the treatment groups. For sudden cardiac death, meta‐analysis showed no evidence of a difference.

At 24±6 months follow‐up, meta‐analyses showed that antibiotics increased the risk of all‐cause mortality, cardiovascular mortality, and probably also sudden cardiac death. Regarding the risk of myocardial infarction and stroke, meta‐analyses showed no evidence of a difference.

None of the trials specifically assessed serious adverse event according to International Conference on Harmonization ‐ Good Clinical Practice (ICH‐GCP). Instead, the trials either reported composites of several specific serious adverse events or one specific serious adverse event. Hence, no meta‐analysis could be conducted.

No data were provided on quality of life.

Overall completeness and applicability of evidence

This review provides the most comprehensive and contemporary appraisal of the evidence on antibiotics for secondary prevention of patients with coronary heart disease to date. We searched for published and unpublished trials irrespective of setting, blinding, publication status, publication year, language, and reporting of our outcomes. None of our funnel plots indicated any significant signs of publication bias. However, all but three trials were at high risk of bias which suggests that our results might overestimate benefits and underestimate harms (Schulz 1995; Moher 1998; Kjaergard 2001; Gluud 2006; Wood 2008; Savovic 2012; Lundh 2017; Savovic 2018).

We included all adult (≥ 18 years) participants with coronary heart disease irrespective of sex, antibody status, severity of the disease, type of antibiotic used, and type of control group intervention (placebo or no intervention). Nevertheless, we found limited signs of statistical heterogeneity (except for myocardial infarction at 24±6 months follow‐up (see Potential biases in the review process)) which indicates that the pooling of these diverse participants and interventions was appropriate.

A limitation of the study design is that the presented results depends on the available extractable trial data. Hence, even though our inclusion criteria are broad, we might not have included all conceivable subgroups, and the majority of our results might include data from some specific subgroups. An example is that we have included more men than women. It is known that coronary heart disease affects men and women differently in regard to baseline risk and control event rate. However, we were not able to obtain individual participant data from the included trials. Therefore, it was not possible to conduct a subgroup analysis. Another example is that one trial weighted most in our analyses (CLARICOR 2006). This might result in our results and conclusions being limited to the participants included in CLARICOR 2006. On the contrary, all meta‐analyses except for myocardial infarction at 24+6 months follow‐up had, as mentioned above limited signs of statistical heterogeneity concluding that the other trials had results pointing in the same direction as CLARICOR 2006. This shows that even though CLARICOR 2006 weighted most, there is a small risk of the other trials showing different results.

There were no data on the effects of antibiotics versus placebo or no intervention on serious adverse event as defined by ICH‐GCP or quality of life. Hence, the effects of antibiotics on these outcomes are unclear. Another limitation of the completeness of evidence is that the vast majority of the data was only contributed by trials assessing the effects of either macrolides (28 trials randomising 22,059 participants) or quinolones (two trials randomising 4162 participants), while only a very small amount of the data was contributed by trials assessing the effects of tetracyclines (eight trials randomising 417 participants). We found no trials assessing the effects of other antibiotic classes. Hence, we do not know the benefits and harms of tetracyclines or other antibiotic classes for secondary prevention of coronary heart disease.

In our review, most of the findings showed harm. When assessing harms, it is important to remember the recommendations from the European Medical Agency (EMA). According to the EMA, in the case of adverse events, P values are of limited value as substantial differences (expressed as relative risk of risk differences) require careful assessment and will, in addition, raise concern, depending on seriousness, severity, or outcome, irrespective of the P value observed (EMA 2017). A non‐significant difference between treatments will not allow for a conclusion on the absence of a difference in safety. In other words, in line with general principles, a non‐significant test result should not be confused with the demonstration of equivalence (EMA 2017). Hence, even though several of our meta‐analyses did not show significant harmful results, we should not conclude that no harmful effect exists. Instead, we should look at the results which indicate that there seem to be a very high possibility of serious harm while there is a small possibility of a neutral result or benefit.

A limitation of the applicability of our results is that we chose maximum follow‐up as our time point of primary interest. Winkel and colleagues stated when discussing the findings from the 10‐years follow‐up of the CLARICOR trial that after three years follow‐up, the observed harmful effect of clarithromycin vanished (Winkel 2015). They found that the placebo‐treated participants seemed to catch up with the clarithromycin‐treated participants. They interpreted this as frailty attrition, i.e. the harmful events occurred 'prematurely' in a subset of participants vulnerable to the antibiotic, so after some time the survivors in the antibiotic group were on the whole more resistant. At the same time, the frail participants in the placebo group began experiencing harmful events because of natural causes unrelated to the trial, which did not happen to the survivors in the antibiotic group as the frail participants might already have died. This lead to the results being 'diluted' by events unrelated to the trial. Our other time point of interest was at 24±6 months follow‐up. It might be that the findings at 24±6 months follow‐up are showing a more true picture, as they may have not been affected by frailty attrition. Nevertheless, our findings at 24±6 months follow‐up are limited by possible imprecision, as only few trials reported their findings at 24±6 months follow‐up. Overall, even though this review provides the most comprehensive and contemporary appraisal of the evidence on antibiotics for secondary prevention of patients with coronary heart disease to date, our results might not show the actual true results. The actual true results might even be more harmful.

Quality of the evidence

Risk of systematic error ('bias')

Our 'risk of bias' assessment showed that only three trials were at low risk of bias (ACADEMIC 1999; AZACS 2003; CLARICOR 2006), while all other trials were at high risk of bias (see 'Risk of bias in included studies' for details). However, most information was either from trials at low risk of bias, or trials at low risk of bias in the majority of domains. We, therefore, interpreted that the potential limitations of the trials were unlikely to lower the confidence in the outcome results. Hence, we did not downgrade any outcome for risk of bias.

Risk of random error ‐ imprecision ('play of chance')

For all outcome results at both our time points, we either reached the optimal information size or the sample sizes were large (> 4000 participants). Accordingly, no outcome result was downgraded for risk of imprecision.

Indirectness

We assessed the differences between the population of interest and the included participants as low for all outcome results beside the sensitivity analysis of cardiovascular mortality only including low risk of bias trials at maximum follow‐up and the overall analyses of sudden cardiac death at both our time points. For these analyses, only very few trials were included. Hence, there is a risk of genetic differences and correspondingly the effect of antibiotics between the included participants in these analyses and patients in other parts of the world might differ. For all other analyses, several or more trials were included with significantly more participants which indicate a lower risk of difference. However, it might be discussed whether the low inclusion of women (22.9%) might affect the primary results. We acknowledge that the baseline risk of coronary heart disease and control event rate of mortality and cardiovascular events might be different in men and women. However, we do not think that there is a significant sex‐based difference in antibiotic activity (Soldin 2011; Whitley 2009).

We assessed the differences between the intervention of interest and the included interventions as low for all outcome results beside the sensitivity analysis of cardiovascular mortality only including low risk of bias trials at maximum follow‐up and the overall analyses of sudden cardiac death at both our time points. For these analyses, only two and one type of antibiotic was included, respectively. Hence, the results from these analyses might have been difference if several different types of antibiotics had been included.

We assessed the differences between the planned outcomes and the included outcomes as low. This was due to the trials reporting the outcomes in a similar way. Moreover, all outcomes were patient‐important.

Based on the above, we downgraded the sensitivity analysis of cardiovascular mortality only including low risk of bias trials at maximum follow‐up and the overall meta‐analyses of sudden cardiac death at both our time points by one level for serious risk of indirectness.

Heterogeneity ‐ inconsistency

We assessed the statistical heterogeneity in the planned analyses of our primary and secondary outcomes as low to moderate. Only the meta‐analysis of all trials on myocardial infarction at 24±6 months follow‐up had significant heterogeneity (I2 = 43%; P = 0.14). For all other meta‐analyses, the heterogeneity was low (I2 < 30%). The limited signs of statistical heterogeneity increases the validity of our results on all outcomes beside myocardial infarction at 24±6 months follow‐up. Accordingly, we downgraded the meta‐analysis of all trials on myocardial infarction at 24±6 months follow‐up by one level for serious risk of inconsistency.

Publication bias

We only assessed the risk of publication bias in meta‐analyses including at least 10 trials. Hence, meta‐analysis of stroke and sudden cardiac death at maximum follow‐up and all meta‐analyses at 24±6 follow‐up could not be assessed. For the remaining meta‐analyses, our funnel plots and corresponding tests did not show any clear sign of asymmetry. Accordingly, we did not downgrade any meta‐analysis for risk of publication bias.

GRADE

We have assessed the certainty of the evidence of each outcome results using GRADE (Table 1 (maximum follow‐up) and Table 2 (24±6 months follow‐up)). The GRADE assessment showed that the certainty of the evidence was high to moderate both at maximum follow‐up and at 24±6 months follow‐up. Reasons for the GRADE assessment are given in the footnotes of the table (Table 1 (maximum follow‐up) and Table 2 (24±6 months follow‐up)).

Potential biases in the review process

Strengths

Our review has several strengths. We are the first to conduct a systematic review using Cochrane methodology comparing antibiotics versus placebo or no intervention for secondary prevention in patients with coronary heart disease. We followed our peer‐reviewed protocol which was published before the literature search began (Sethi 2017), and we conducted the review using the methods recommended by Cochrane (Higgins 2011a). We included trials regardless of language of publication and whether they reported data on the outcomes we had planned to assess. We contacted all relevant authors if additional information was needed. We included more trials and more participants than any previous systematic review or meta‐analysis which gives us increased power and precision to detect any evidence of a difference between the intervention and control group. Data were double‐extracted by independent review authors minimising the risk of inaccurate data extraction, and we assessed the risk of bias in all trials according to TheCochrane Handbook for Systematic Reviews of Interventions (Higgins 2017). We used GRADE to assess the certainty of the body of evidence, subgroup analysis to assess possible heterogeneity, and sensitivity analyses to test the potential impact of overall bias risk, incomplete outcome data bias, and sub‐optimal medical therapy. Hence, this systematic review considered both risks of random errors and risks of systematic errors which adds further robustness to our results and conclusions.

Our meta‐analyses, except for the meta‐analysis of all trials on myocardial infarction at 24±6 months follow‐up, had little statistical heterogeneity strengthening the validity of our results.

Limitations

Our systematic review also has several limitations. Our findings, interpretations, and conclusions are affected by the quality, quantity, and outcome reporting of the included trials. Some limitations have already been discussed in the above section 'Overall completeness and applicability of evidence'.

Bias risk assessment

We only found three trials at low risk of bias (ACADEMIC 1999; AZACS 2003; CLARICOR 2006). We conducted sensitivity analyses only including low risk of bias trials to assess if the results differed compared to the overall analyses. We planned to base our primary analyses and primary conclusions on trials at low risk of bias, since meta‐epidemiological studies have shown that trials at high risk of bias overestimate benefit and underestimate harm (Schulz 1995; Moher 1998; Kjaergard 2001; Gluud 2006; Wood 2008; Savovic 2012; Savovic 2018). The outcome result for cardiovascular mortality at maximum follow‐up differed between the overall analysis and the sensitivity analysis only including low risk of bias trials. For all other outcome results, the results did not differ. Hence, for cardiovascular mortality at maximum follow‐up, we based our primary analysis and primary conclusion on the sensitivity analysis only including low risk of bias trials. For all other outcomes, we based our primary analyses and primary conclusions on the overall analyses.

Our assessment of publication bias was uncertain for all outcomes at 24±6 months follow‐up, as a relatively low number of trials was included.

Incomplete outcome data

In total, 19/38 trials were assessed at unclear or high risk of bias on the incomplete outcome data bias domain. Our 'best‐worst', 'worst‐best', modified 'best‐worst', and modified 'worst‐best' case analyses confirmed that there was a high risk of incomplete outcome data bias, especially for the analyses at maximum follow‐up. In 13/38 trials, it was not reported in sufficient detail if any participant was lost to follow‐up. It was often only reported that a certain number of participants died or experienced a type of serious adverse event without reporting if any of the participants were lost to follow‐up, etc. If insufficient data were reported by the trialists, we tried to contact the authors, but often the authors did not reply. Hence, the extent of the incomplete outcome data was often unclear. Our 'best‐worst', 'worst‐best', modified 'best‐worst', and modified 'worst‐best' case analyses might underestimate the potential impact of missing data because only the data on the reported population were used if no other information was available. Incomplete outcome data might potentially have an even greater bias impact than our 'best‐worst', 'worst‐best', modified 'best‐worst', and modified 'worst‐best' case analyses show, i.e. the 'true' differences between the actually observed cases and the intention‐to‐treat population might be larger than our data suggest.

Serious adverse event

The trials included in this review reported harms inadequately. None of the trials specifically assessed serious adverse event according to ICH‐GCP. Instead, the trials either reported composites of several specific serious adverse events or one specific serious adverse event. We could, therefore, not conduct a meta‐analysis as planned on all serious adverse events. Hence, it was not possible to assess the overall safety of antibiotics in patients with coronary heart disease. This is very problematic, as the reporting of harm is as important as the reporting of efficacy. Without adequate reporting of both harm and benefit, it is not possible to estimate if an intervention is useful or not (Ioannidis 2009; Storebø 2018).

Multiplicity

We used broad inclusion criteria to fully assess the effects of antibiotics for secondary prevention of patients with coronary heart disease. Therefore, we included a large number of outcomes, time points, subgroup analyses, and sensitivity analyses. We are aware that this increases the risk of type 1 error due to multiplicity. To minimise the potential risk, we used a more conservative alpha of 2.5% for our primary outcomes and 2.0% for our secondary outcomes (Jakobsen 2014; Jakobsen 2016). Nevertheless, as mentioned in the 'Differences between protocol and review', we did not use P values to determine whether a result was significant.

Agreements and disagreements with other studies or reviews

Systematic reviews and meta‐analyses of randomised clinical trials

We identified five systematic reviews and meta‐analyses of randomised clinical trials assessing the effects of antibiotics versus placebo or no intervention for secondary prevention in patients with coronary heart disease (Wells 2004; Etminan 2004; Andraws 2005; Baker 2007; Gluud 2008). None of the former reviews or meta‐analyses systematically assessed the risks of random error, used the GRADE approach to assess the certainty of the body of evidence, or assessed other time points than maximum follow‐up, and most of the reviews or meta‐analyses did not employ adequate assessments of risks of bias.

We also identified four systematic reviews of randomised clinical trials assessing the effects of antibiotics for secondary prevention in patients with any vascular disease (Illoh 2005), and any disease (Almalki 2014; Wong 2017; Hansen 2019), respectively.

Wells 2004 assessed the effects of antibiotics for the secondary prevention of patients with ischaemic heart disease and included nine trials enrolling 11,015 participants. They found no evidence of a difference on all‐cause mortality (risk ratio (RR) 0.94, 95% confidence interval (CI) 0.79 to 1.12) and any cardiac event (RR 0.94, 95% CI 0.86 to 1.03). Our results are not similar in regard to all‐cause mortality, as we found that antibiotics seem to have a harmful effect. We did not assess the effects of antibiotics on 'any cardiac event'.

Etminan 2004 assessed the effects of macrolides for the secondary prevention of patients with coronary artery disease and included nine trials enrolling 12,032 participants. They found no evidence of a difference on all‐cause mortality (RR 0.95, 95% CI 0.81 to 1.12), myocardial infarction or angina (RR 0.89, 95% CI 0.68 to 1.16), and any coronary event (RR 0.98, 95% CI 0.88 to 1.08). Our results are not similar in regard to all‐cause mortality, as we found that antibiotics seem to have a harmful effect. We did not assess the effects of antibiotics on 'myocardial or angina' or 'any coronary event'.

Illoh 2005 assessed the effects of antibiotics for the secondary prevention of patients with vascular disease and included 12 trials enrolling 12,236 participants. They found no evidence of a difference on any vascular event or death (odds ratio (OR) 0.84, 95% CI 0.67 to 1.05). We did not assess the effects of antibiotics on 'any vascular event or death'.

Andraws 2005 assessed the effects of antibiotics for secondary prevention of patients with coronary artery disease and included 11 trials enrolling 19,216 participants. They found no evidence of a difference on all‐cause mortality (OR 1.02, 95% CI 0.89 to 1.16), myocardial infarction (OR 0.92, 95% CI 0.81 to 1.04), and myocardial infarction or angina (OR 0.91, 95% CI 0.76 to 1.07). Their results on myocardial infarction are similar to ours, as we too did not find any evidence of a difference on the risk of myocardial infarction. With regards to all‐cause mortality, our results are not similar, as we found that antibiotics seem to have a harmful effect. We did not assess the effects of antibiotics on 'myocardial infarction or angina'.

Baker 2007 assessed the effects of azithromycin for the secondary prevention of patients with coronary artery disease and included six trials enrolling 13,778 participants. They found no evidence of a difference on all‐cause mortality (OR 0.91, 95% CI 0.77 to 1.09), myocardial infarction (OR 0.95, 95% CI 0.80 to 1.13), hospitalisation (OR 0.97, 95% CI 0.80 to 1.17), and any cardiac event (OR 0.93, 95% CI 0.84 to 1.03). Their results on myocardial infarction and hospitalisation are similar to ours, as we too did not find any evidence of a difference on the risk of myocardial infarction and hospitalisation. In regards to all‐cause mortality, our results are not similar, as we found that antibiotics seem to have a harmful effect. We did not assess the effects of antibiotics on 'any cardiac event'.

Gluud 2008 assessed the effects of antibiotics for the secondary prevention of patients with coronary heart disease and included 17 trials enrolling 25,271 participants. The meta‐analysis found evidence of a harmful effect of antibiotics on all‐cause mortality (RR 1.10, 95% CI 1.01 to 1.20), which is similar to our results, as we also found that antibiotics seem to have a harmful effect on the risk of all‐cause mortality.

Almalki 2014 assessed the effects of azithromycin for the secondary prevention of patients with any disease and included 12 trials enrolling 15,588 participants. They found no evidence of a difference on all‐cause mortality (RR 0.88, 95% CI 0.75 to 1.02), hospitalisation (RR 1.01, 95% CI 0.92 to 1.09), and any cardiac event (RR 1.00, 95% CI 0.90 to 1.13). Their results on hospitalisation are similar to ours, as we too did not find any evidence of a difference on the risk of hospitalisation. In regards to all‐cause mortality, our results are not similar, as we found that antibiotics seem to have a harmful effect on the risk of all‐cause mortality. We did not assess the effects of antibiotics on 'any cardiac event'.

Wong 2017 assessed the effects of macrolides for the secondary prevention of patients with any disease and included 16 trials. They found no evidence of a difference on any cardiac event (RR 1.03, 95% CI 0.96 to 1.10), myocardial infarction (RR 0.95, 95% CI 0.87 to 1.04), and stroke (RR 1.13, 95% CI 0.91 to 1.41). Their results on myocardial infarction are similar to ours, as we too did not find any evidence of a difference on the risk of myocardial infarction. In regards to stroke, our results are not similar, as we found that antibiotics seem to have a harmful effect on the risk of stroke. We did not assess the effects of antibiotics on 'any cardiac event'.

Hansen 2019 assessed the effects of macrolides for the secondary prevention of patients with any disease and included 183 trials enrolling 252,886 participants. They found no evidence of a difference on all‐cause mortality (OR 0.96, 95% CI 0.87 to 1.06) or cardiac disorders (i.e. arrhythmia, acute coronary syndrome, and not specified cardiac events) (OR 0.87, 95% CI 0.54 to 1.40). Their results on all‐cause mortality are not similar to ours, as we found that antibiotics seem to have a harmful effect on the risk of all‐cause mortality. We did not assess the effects of antibiotics on 'any cardiac disorder'.

Overall, especially when regarding all‐cause mortality, we disagree with the above‐mentioned reviews. A likely explanation might be that previous reviews did not have enough power to assess mortality both in regard to a much lower number of participants and event rate. A comparison with Andraws 2005 (which is the latest review with nearly the same inclusion criteria as us) in regard to all‐cause mortality shows that we included 10 more trials with a total of 6787 participants (ISAR‐3 2001; MIDAS 2003; Radoi 2003; Kim 2004; Ütük 2004; Berg 2005; Kaehler 2005; CLARICOR 2006; Ikeoka 2009; TIPTOP 2014). Moreover, most previous trials before CLARICOR 2006 had a short follow‐up which lead to a low event rate.

Systematic reviews of observational studies and recent large observational studies

We identified three systematic reviews of observational studies assessing the effects of macrolides compared to non‐use of macrolides in any patient regardless of disease (Cheng 2015; Wong 2017; Gorelik 2018). Moreover, we identified two recent observational studies, respectively, one conducted by the FDA (Mosholder 2018) and one supported by Pfizer (Zaroff 2020).

Cheng 2015 compared macrolides to non‐use of macrolides in any participant and included 33 studies enrolling 20,779,963 participants. They found evidence of a harmful effect of macrolides on 'sudden cardiac death or ventricular tachyarrhythmias' (RR 2.42, 95% CI 1.61 to 3.63), sudden cardiac death (RR 2.52, 95% CI 1.91 to 3.31), cardiovascular mortality (RR 1.31, 95% CI 1.06 to 1.62), and myocardial infarction (RR 1.08, 95% CI 1.01 to 1.15). They found no evidence of a difference on all‐cause mortality (RR 1.03, 95% CI 0.86 to 1.22), stroke (RR 1.10, 95% Ci 0.74 to 1.64), or any cardiac event (RR 1.05, 95% CI 0.94 to 1.17). Their results on cardiovascular mortality and myocardial infarction are not similar to ours, as we did not find any harmful effect of antibiotics on cardiovascular mortality and myocardial infarction. In regards to all‐cause mortality and stroke, our results are not similar, as we found that antibiotics seem to have a harmful effect on the risk of all‐cause mortality and stroke. We did not assess the effects of antibiotics on 'sudden cardiac death or ventricular tachyarrhythmias' and 'any cardiac event'.

Wong 2017 compared macrolides to non‐use of macrolides in any participant and included 17 studies. They found evidence of a harmful effect of macrolides on myocardial infarction (RR 1.10, 95% CI 1.04 to 1.17). They found no evidence of a difference on any cardiac event (RR 1.05, 95% CI 0.91 to 1.22), arrhythmia (RR 1.10, 95% CI 0.99 to 1.21), and stroke (RR 1.07, 95% CI 0.80 to 1.42). Their results on myocardial infarction are not similar to ours, as we did not find any harmful effect of antibiotics on the risk of myocardial infarction. In regards to stroke, our results are not similar, as we found that antibiotics seem to have a harmful effect on the risk of stroke. We did not assess the effects of antibiotics on 'any cardiac event' and 'arrhythmia'.

Gorelik 2018 compared macrolides to non‐use of macrolides in any participant and included 33 studies enrolling 22,601,032 participants. They found evidence of a harmful effect of macrolides on myocardial infarction (OR 1.15, 95% CI 1.01 to 1.30). They found no evidence of a difference on cardiovascular mortality (OR 1.22, 95% CI 0.94 to 1.59) or arrhythmia (OR 1.20, 95% CI 0.91 to 1.57). Their results on cardiovascular mortality and myocardial infarction are not similar to ours, as we did not find any harmful effect of antibiotics on the risk of cardiovascular mortality and myocardial infarction. We did not assess the effects of antibiotics on the risk of 'arrhythmia'.

Mosholder 2018 compared clarithromycin and erythromycin to doxycyline and enrolled 998,476 participants. They found evidence of a harmful effect of clarithromycin compared to doxycyline on all‐cause mortality and the harmful effect size increased based on the number of prescriptions of clarithromycin. After one prescription the hazard ratio (HR) was 1.25 (95% CI 1.21 to 1.29) and increased to 1.62 (95% CI 1.43 to 1.84) after five or more prescriptions. They also found evidence of a harmful effect of clarithromycin compared to doxycycline on myocardial infarction (HR 1.13, 95% CI 1.06 to 1.20) and stroke (HR 1.15, 95% CI 1.08 to 1.22), but the harmful effect size remained the same based on the number of prescriptions. Compareable results with smaller hazard ratios were shown when comparing erythromycin to doxycycline. This study showed that macrolides, especially clarithromycin, compared to doxycycline seem to increase the risk of all‐cause mortality, myocardial infarction, and stroke. Hence, it might be that macrolides have more harmful effects than other antibiotics.

Zaroff 2020 compared azithromycin to amoxicillin and enrolled 2,929,008 participants. They found evidence of a harmful effect of azithromycin compared to amoxicillin within five days of antibiotic exposure on all‐cause mortality (hazard ratio (HR) 2.00; 95% CI 1.51 to 2.63), cardiovascular mortality (HR 1.82, 95% CI 1.23 to 2.67), and non‐cardiovascular mortality (HR 2.17, 95% CI 1.44 to 3.26). No increased risk was found on any outcome when assessing events six to 10 days after antibiotic exposure. No increased risk was found on sudden cardiac death at both time points. This study showed that azithromycin compared to amoxicillin seem to increase the risk of mortality during the first five days after antibiotic exposure. The higher risk of mortality was both driven by cardiovascular and non‐cardiovascular events such as lung disease and cancer.

Authors' conclusions

Implications for practice.

Our present review indicates that antibiotics (macrolides or quinolones) for secondary prevention of coronary heart disease seem harmful when assessing the risk of all‐cause mortality, cardiovascular mortality, and stroke at maximum follow‐up and all‐cause mortality, cardiovascular mortality, and sudden cardiac death at 24±6 months follow‐up. Current evidence does, therefore, not support the clinical use of macrolides and quinolones for the secondary prevention of coronary heart disease.

Implications for research.

Future trials on the safety of macrolides or quinolones for the secondary prevention in patients with coronary heart disease do not seem ethical. In general, randomised clinical trials assessing the effects of antibiotics, especially macrolides and quinolones, need longer follow‐up so that late‐occurring adverse events can also be assessed. Trials ought to be designed according to the SPIRIT statement (https://www.spirit-statement.org/) and reported according to the CONSORT statement (http://www.consort-statement.org/). Moreover, trials need to be registered and fully and transparently reported including both benefits and harms (Skoog 2015).

What's new

Date Event Description
18 May 2021 Amended Error corrected in SoF table 1.

History

Protocol first published: Issue 2, 2002
Review first published: Issue 2, 2021

Date Event Description
11 August 2008 Amended Authorship changed with new author and new contact person.
12 June 2008 Amended Converted to new review format.

Acknowledgements

We thank the editors and peer‐reviewers of the Cochrane Heart Group commenting on the review.

We thank the Cochrane Heart Group for their expert assistance in creating the search strategy and the provision of a template protocol as well as helpful discussions on trial and review methodology. We thank the Cochrane Central Editorial Unit for helpful discussions on trial and review methodology.

We thank all the investigators of the CLARICOR trial for numerous influential discussions on antibiotics and coronary heart diseases.

We thank Sara Russo Krauss for help with translation from Italian.

We thank Alexandra Mazur for help with translation from Polish.

We thank Dimitrinka Nikolova for help with translation from Russian.

We thank Ahmad Sajadieh, MD, DMSc, Bispebjerg Hospital, University of Copenhagen for peer reviewing this Cochrane review.

Appendices

Appendix 1. Search strategies

Database Date searched Search strategy
CENTRAL (Cochrane Library) 09/12/2019 #1 MeSH descriptor: [Coronary Disease] explode all trees
#2 MeSH descriptor: [Myocardial Ischemia] explode all trees
#3 (myocard* near/3 infarct*)
#4 (coronary near/3 disease*)
#5 (myocard* near/3 ischemi*)
#6 (myocard* near/3 ischaem*)
#7 (ischemic near/3 heart)
#8 (ischaemic near/3 heart)
#9 MeSH descriptor: [Atherosclerosis] explode all trees
#10 atherosclero*
#11 angina*
#12 #1 or #2 or #3 or #4 or #5 or #6 or #7 or #8 or #9 or #10 or #11
#13 MeSH descriptor: [Anti‐Bacterial Agents] explode all trees
#14 Penicillin*
#15 cephalosporin*
#16 carbapenem*
#17 monobactam*
#18 beta‐lactam*
#19 (aminoglycoside*)
#20 macrolide*
#21 clindamycin*
#22 MeSH descriptor: [Penicillins] explode all trees
#23 MeSH descriptor: [Lactams] explode all trees
#24 MeSH descriptor: [Tetracyclines] explode all trees
#25 MeSH descriptor: [Aminoglycosides] explode all trees
#26 MeSH descriptor: [Macrolides] explode all trees
#27 MeSH descriptor: [Clindamycin] explode all trees
#28 MeSH descriptor: [Chloramphenicol] explode all trees
#29 MeSH descriptor: [Fusidic Acid] this term only
#30 MeSH descriptor: [Vancomycin] this term only
#31 MeSH descriptor: [Daptomycin] this term only
#32 MeSH descriptor: [Polymyxins] explode all trees
#33 (antibiotic* or anti‐bacterial* or anti‐infective*)
#34 #13 or #14 or #15 or #16 or #17 or #18 or #19 or #20 or #21 or #22 or #23 or #24 or #25 or #26 or #27 or #28 or #29 or #30 or #31 or #32 or #33
#35 #12 and #34
MEDLINE (Ovid) 09/12/2019 1. exp Coronary Disease/
2. exp Myocardial Ischemia/
3. (myocard* adj3 infarct*).tw.
4. (coronary adj3 disease*).tw.
5. (myocard* adj3 ischemi*).tw.
6. (myocard* adj3 ischaem*).tw.
7. (ischemic adj3 heart).tw.
8. (ischaemic adj3 heart).tw.
9. exp Atherosclerosis/
10. atheroscleropenici*.tw.
11. angina*.tw.
12. or/1‐11
13. Anti‐Bacterial Agents/
14. Penicillin*.tw.
15. cephalosporin*.tw.
16. carbapenem*.tw.
17. monobactam*.tw.
18. beta‐lactam*.tw.
19. aminoglycoside*.tw.
20. macrolide*.tw.
21. clindamycin*.tw.
22. exp Penicillins/
23. exp lactams/ or beta‐lactams/
24. exp Tetracyclines/
25. exp Aminoglycosides/
26. exp Macrolides/
27. exp Clindamycin/
28. exp Chloramphenicol/
29. Fusidic Acid/
30. Vancomycin/
31. Daptomycin/
32. exp Polymyxins/
33. (antibiotic* or anti‐bacterial* or anti‐infective*).tw.
34. or/13‐33
35. 12 and 34
36. randomized controlled trial.pt.
37. controlled clinical trial.pt.
38. randomized.ab.
39. placebo.ab.
40. drug therapy.fs.
41. randomly.ab.
42. trial.ab.
43. groups.ab.
44. 36 or 37 or 38 or 39 or 40 or 41 or 42 or 43
45. exp animals/ not humans.sh.
46. 44 not 45
47. 35 and 46
Embase (Ovid) 09/12/2019 1. exp coronary artery disease/
2. exp heart muscle ischemia/
3. (myocard* adj3 infarct*).tw.
4. (coronary adj3 disease*).tw.
5. (myocard* adj3 ischemi*).tw.
6. (myocard* adj3 ischaem*).tw.
7. (ischemic adj3 heart).tw.
8. (ischaemic adj3 heart).tw.
9. exp atherosclerosis/
10. atheroscleropenici*.tw.
11. angina*.tw.
12. 1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9 or 10 or 11
13. antiinfective agent/
14. Penicillin*.tw.
15. cephalosporin*.tw.
16. carbapenem*.tw.
17. monobactam*.tw.
18. beta‐lactam*.tw.
19. aminoglycoside*.tw.
20. macrolide*.tw.
21. clindamycin*.tw.
22. exp penicillin derivative/
23. exp lactam/
24. exp tetracycline derivative/
25. exp aminoglycoside/
26. exp macrolide/
27. exp clindamycin/
28. exp chloramphenicol/
29. fusidic acid/
30. vancomycin/
31. daptomycin/
32. exp polymyxin/
33. (antibiotic* or anti‐bacterial* or anti‐infective*).tw.
34. 13 or 14 or 15 or 16 or 17 or 18 or 19 or 20 or 21 or 22 or 23 or 24 or 25 or 26 or 27 or 28 or 29 or 30 or 31 or 32 or 33
35. 12 and 34
36. random$.tw.
37. factorial$.tw.
38. crossover$.tw.
39. cross over$.tw.
40. cross‐over$.tw.
41. placebo$.tw.
42. (doubl$ adj blind$).tw.
43. (singl$ adj blind$).tw.
44. assign$.tw.
45. allocate$.tw.
46. volunteer$.tw.
47. crossover procedure/
48. double blind procedure/
49. randomized controlled trial/
50. single blind procedure/
51. 36 or 37 or 38 or 39 or 40 or 41 or 42 or 43 or 44 or 45 or 46 or 47 or 48 or 49 or 50
52. (animal/ or nonhuman/) not human/
53. 51 not 52
54. 35 and 53
SCI‐Expanded (Web of Science) 09/12/2019 # 32 #31 AND #30
# 31 TS=((random* or blind* or allocat* or assign* or trial* or placebo* or crossover* or cross‐over*))
# 30 #29 AND #9
# 29 #28 OR #27 OR #26 OR #25 OR #24 OR #23 OR #22 OR #21 OR #20 OR #19 OR #18 OR #17 OR #16 OR #15 OR #14 OR #13 OR #12 OR #11 OR #10
# 28 TS=(Polymyxin*)
# 27 TS=(Daptomycin)
# 26 TS=(Vancomycin)
# 25 TS=(Fusidic Acid)
# 24 TS=(Chloramphenicol)
# 23 TS=(Clindamycin)
# 22 TS=(Macrolide*)
# 21 TS=(Aminoglycoside*)
# 20 TS=(Tetracycline*)
# 19 TS=(Lactam*)
# 18 TS=((antibiotic* or anti‐bacterial* or anti‐infective*)) # 17 TS=((clindamycin*))
# 16 TS=((macrolide*))
# 15 TS=((aminoglycoside*))
# 14 TS=((beta‐lactam*))
# 13 TS=(monobactam*)
# 12 TS=((carbapenem*))
# 11 TS=(cephalosporin*)
# 10 TS=(Penicillin*)
# 9 #8 OR #7 OR #6 OR #5 OR #4 OR #3 OR #2 OR #1
# 8 TS=((ANGINA*))
# 7 TS=(ATHEROSCLERO*)
# 6 TS=((ISCHAEMIC NEAR/3 HEART))
# 5 TS=((ISCHEMIC NEAR/3 HEART))
# 4 TS=((MYOCARD* near/3 ISCHAEM*))
# 3 TS=((MYOCARD* near/3 ISCHEMI*))
# 2 TS=((CORONARY near/3 DISEASE*))
# 1 TS=((MYOCARD* near/3 INFARCT*))
BIOSIS (Web of Science) 09/12/2019 # 32 #31 AND #30
# 31 TS=((random* or blind* or allocat* or assign* or trial* or placebo* or crossover* or cross‐over*))
# 30 #29 AND #9
# 29 #28 OR #27 OR #26 OR #25 OR #24 OR #23 OR #22 OR #21 OR #20 OR #19 OR #18 OR #17 OR #16 OR #15 OR #14 OR #13 OR #12 OR #11 OR #10
# 28 TS=(Polymyxin*)
# 27 TS=(Daptomycin)
# 26 TS=(Vancomycin)
# 25 TS=(Fusidic Acid)
# 24 TS=(Chloramphenicol)
# 23 TS=(Clindamycin)
# 22 TS=(Macrolide*)
# 21 TS=(Aminoglycoside*)
# 20 TS=(Tetracycline*)
# 19 TS=(Lactam*)
# 18 TS=((antibiotic* or anti‐bacterial* or anti‐infective*)) # 17 TS=((clindamycin*))
# 16 TS=((macrolide*))
# 15 TS=((aminoglycoside*))
# 14 TS=((beta‐lactam*))
# 13 TS=(monobactam*)
# 12 TS=((carbapenem*))
# 11 TS=(cephalosporin*)
# 10 TS=(Penicillin*)
# 9 #8 OR #7 OR #6 OR #5 OR #4 OR #3 OR #2 OR #1
# 8 TS=((ANGINA*))
# 7 TS=(ATHEROSCLERO*)
# 6 TS=((ISCHAEMIC NEAR/3 HEART))
# 5 TS=((ISCHEMIC NEAR/3 HEART))
# 4 TS=((MYOCARD* near/3 ISCHAEM*))
# 3 TS=((MYOCARD* near/3 ISCHEMI*))
# 2 TS=((CORONARY near/3 DISEASE*))
# 1 TS=((MYOCARD* near/3 INFARCT*))
LILACS (Bireme) 09/12/2019 "myocard$ infarct$" or "coronary disease$" or "myocard$ ischemi$" or "myocard$ ischaem$" or "ischemic heart" or "ischaemic heart" or "atherosclero$" or "angina$" [Words] and "Polymyxin*" or "Daptomycin" or "Vancomycin" or "Fusidic Acid" or "Chloramphenicol" or "Clindamycin" or "Macrolide*" or "Aminoglycoside*" or "Tetracycline*" or "Lactam*" or "antibiotic*" or "anti‐bacterial*" or "anti‐infective*" or "clindamycin*" or "macrolide*" or "aminoglycoside*" or "beta‐lactam*" or "monobactam*" or "carbapenem*" or "cephalosporin*" or "Penicillin*" [Words]
Google Scholar 25/12/2019 (Trial) AND (Controlled OR clinical) AND (Randomised OR randomized) AND (coronary heart disease OR acute coronary syndrome OR myocardial infarction OR angina pectoris) AND (antibiotic OR macrolide OR quinolone OR tetracycline OR penicillin OR clarithromycin OR azithromycin OR erythromycin OR roxithromycin OR doxycycline OR gatifloxacine)
The Turning Research into Practice (TRIP) Database 25/12/2019 (Trial) AND (Controlled OR clinical) AND (Randomised OR randomized) AND (coronary heart disease OR acute coronary syndrome OR myocardial infarction OR angina pectoris) AND (antibiotic OR macrolide OR quinolone OR tetracycline OR penicillin OR clarithromycin OR azithromycin OR erythromycin OR roxithromycin OR doxycycline OR gatifloxacine)
Clinicaltrials.gov 25/12/2019 Interventional studies AND coronary disease AND antibiotics
EU Clinical Trial Registry 25/12/2019 (Trial) AND (Controlled OR clinical) AND (Randomised OR randomized) AND (coronary heart disease OR acute coronary syndrome OR myocardial infarction OR angina pectoris) AND (antibiotic OR macrolide OR quinolone OR tetracycline OR penicillin OR clarithromycin OR azithromycin OR erythromycin OR roxithromycin OR doxycycline OR gatifloxacine)
Chinese Clinical Trial Registry (ChCTR) 25/12/2019 (Heart) AND (randomized parallel controlled trial)
International Standard Randomised Controlled Trial Number (ISRCTN) registry 25/12/2019 Coronary AND randomised AND antibiotic
GSK Clinical Study Register 25/12/2019 Heart AND interventional
Pan African Clinical Trials Registry (PACTR) 25/12/2019 Heart
Australian New Zealand Clinical Trials Registry (ANZCTR) 25/12/2019 Randomised AND coronary heart disease
Clinical Trials Registry ‐ India (CTRI) 25/12/2019 Randomized parallel group trial AND heart
The World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) search portal 25/12/2019 (Trial) AND (Controlled OR clinical) AND (Randomised OR randomized) AND (coronary heart disease OR acute coronary syndrome OR myocardial infarction OR angina pectoris) AND (antibiotic OR macrolide OR quinolone OR tetracycline OR penicillin OR clarithromycin OR azithromycin OR erythromycin OR roxithromycin OR doxycycline OR gatifloxacine)

Data and analyses

Comparison 1. Antibiotics versus placebo for secondary prevention of coronary heart disease at maximum follow‐up.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
1.1 ALL‐CAUSE MORTALITY 20 25774 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.2 All‐cause mortality ‐ trials at low risk of bias 3 6113 Risk Ratio (M‐H, Random, 95% CI) 1.07 [0.99, 1.15]
1.3 All‐cause mortality ‐ 'best‐worst case' scenario 20 25815 Risk Ratio (M‐H, Fixed, 95% CI) 0.98 [0.92, 1.04]
1.4 All‐cause mortality ‐ 'worst‐best case' scenario 20 25815 Risk Ratio (M‐H, Fixed, 95% CI) 1.13 [1.06, 1.21]
1.5 All‐cause mortality ‐ modified 'best‐worst case' scenario 20 25815 Risk Ratio (M‐H, Fixed, 95% CI) 1.01 [0.95, 1.08]
1.6 All‐cause mortality ‐ modified 'worst‐best case' scenario 20 25815 Risk Ratio (M‐H, Random, 95% CI) 1.09 [1.02, 1.16]
1.7 All‐cause mortality ‐ trials with optimal medical therapy 13 23294 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.8 All‐cause mortality according to type of antibiotic 20 25774 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.8.1 Azithromycin 7 13746 Risk Ratio (M‐H, Random, 95% CI) 0.98 [0.85, 1.14]
1.8.2 Roxithromycin 5 2491 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.71, 1.57]
1.8.3 Clarithromycin 4 5106 Risk Ratio (M‐H, Random, 95% CI) 1.08 [1.00, 1.16]
1.8.4 Doxycycline 2 160 Risk Ratio (M‐H, Random, 95% CI) 0.63 [0.06, 6.20]
1.8.5 Gatifloxacin 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.29 [0.89, 1.85]
1.8.6 Spiramycin 1 109 Risk Ratio (M‐H, Random, 95% CI) 0.84 [0.29, 2.49]
1.9 All‐cause mortality according to antibody status 20 25774 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.9.1 People with antibodies 3 8084 Risk Ratio (M‐H, Random, 95% CI) 0.93 [0.76, 1.14]
1.9.2 People without antibodies 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
1.9.3 Mixed 17 17690 Risk Ratio (M‐H, Random, 95% CI) 1.08 [1.01, 1.15]
1.10 All‐cause mortality according to use of statins 13 23680 Risk Ratio (M‐H, Random, 95% CI) 1.06 [1.00, 1.13]
1.10.1 People with use of statins 4 4514 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.44, 1.81]
1.10.2 People without use of statins 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
1.10.3 Mixed 9 19166 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.11 All‐cause mortality according to the mean age 20 25774 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.11.1 0 to 59 years 5 4573 Risk Ratio (M‐H, Random, 95% CI) 1.15 [0.83, 1.60]
1.11.2 60 and above 15 21201 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.12 All‐cause mortality according to clinical trial registration status 20 25774 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.12.1 Pre‐registration 4 16366 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.91, 1.21]
1.12.2 Post‐registration 1 4012 Risk Ratio (M‐H, Random, 95% CI) 1.09 [0.86, 1.36]
1.12.3 No registration 15 5396 Risk Ratio (M‐H, Random, 95% CI) 0.99 [0.75, 1.29]
1.13 All‐cause mortality according to length of follow‐up 20 25774 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.13.1 Trials with less than 12 months follow‐up 7 2080 Risk Ratio (M‐H, Random, 95% CI) 0.73 [0.46, 1.15]
1.13.2 Trials with equal to or longer than 12 months follow‐up 13 23694 Risk Ratio (M‐H, Random, 95% CI) 1.07 [1.00, 1.14]
1.14 All‐cause mortality according to class of antibiotic 20 25760 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.14.1 Macrolide 17 21438 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.99, 1.13]
1.14.2 Tetracycline 2 160 Risk Ratio (M‐H, Random, 95% CI) 0.63 [0.06, 6.20]
1.14.3 Quinolone 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.29 [0.89, 1.85]
1.15 All‐cause mortality according to funding 20 25774 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.15.1 Industry funded or unknown funded trials 11 19073 Risk Ratio (M‐H, Random, 95% CI) 1.04 [0.91, 1.18]
1.15.2 Non‐industry funded trials 9 6701 Risk Ratio (M‐H, Random, 95% CI) 1.07 [0.99, 1.15]
1.16 All‐cause mortality according to control intervention 20 25774 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.99, 1.13]
1.16.1 Placebo‐controlled trials 17 25442 Risk Ratio (M‐H, Random, 95% CI) 1.06 [1.00, 1.13]
1.16.2 No control intervention 3 332 Risk Ratio (M‐H, Random, 95% CI) 0.58 [0.25, 1.32]
1.17 CARDIOVASCULAR MORTALITY 14 14180 Risk Ratio (M‐H, Random, 95% CI) 1.08 [0.96, 1.20]
1.18 Cardiovascular mortality ‐ trials at low risk of bias 2 4674 Risk Ratio (M‐H, Fixed, 95% CI) 1.11 [0.98, 1.25]
1.19 Cardiovascular mortality ‐ 'best‐worst case' scenario 14 14192 Risk Ratio (M‐H, Fixed, 95% CI) 0.94 [0.84, 1.04]
1.20 Cardiovascular mortality ‐ 'worst‐best case' scenario 14 14192 Risk Ratio (M‐H, Fixed, 95% CI) 1.22 [1.09, 1.36]
1.21 Cardiovascular mortality ‐ modified 'best‐worst case' scenario 14 14192 Risk Ratio (M‐H, Fixed, 95% CI) 1.00 [0.89, 1.11]
1.22 Cardiovascular mortality ‐ modified 'worst‐best case' scenario 14 14192 Risk Ratio (M‐H, Fixed, 95% CI) 1.15 [1.03, 1.28]
1.23 Cardiovascular mortality ‐ trials with optimal medical therapy 10 13407 Risk Ratio (M‐H, Fixed, 95% CI) 1.07 [0.96, 1.20]
1.24 Cardiovascular mortality according to type of antibiotic 14 14180 Risk Ratio (M‐H, Random, 95% CI) 1.08 [0.96, 1.20]
1.24.1 Azithromycin 4 4503 Risk Ratio (M‐H, Random, 95% CI) 0.88 [0.65, 1.21]
1.24.2 Roxithromycin 3 613 Risk Ratio (M‐H, Random, 95% CI) 0.57 [0.16, 1.97]
1.24.3 Clarithromycin 3 4633 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.38, 2.93]
1.24.4 Doxycycline 2 160 Risk Ratio (M‐H, Random, 95% CI) 0.63 [0.06, 6.20]
1.24.5 Gatifloxacin 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.64 [0.93, 2.89]
1.24.6 Spiramycin 1 109 Risk Ratio (M‐H, Random, 95% CI) 0.84 [0.29, 2.49]
1.25 Cardiovascular mortality according to antibody status 14 14180 Risk Ratio (M‐H, Random, 95% CI) 1.08 [0.96, 1.20]
1.25.1 People with antibodies 2 362 Risk Ratio (M‐H, Random, 95% CI) 1.07 [0.33, 3.43]
1.25.2 People without antibodies 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
1.25.3 Mixed 12 13818 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.92, 1.22]
1.26 Cardiovascular mortality according to use of statins 8 13096 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.83, 1.37]
1.26.1 People with use of statins 4 4514 Risk Ratio (M‐H, Random, 95% CI) 0.86 [0.35, 2.16]
1.26.2 People without use of statins 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
1.26.3 Mixed 4 8582 Risk Ratio (M‐H, Random, 95% CI) 1.04 [0.82, 1.33]
1.27 Cardiovascular mortality according to the mean age 14 14180 Risk Ratio (M‐H, Random, 95% CI) 1.08 [0.96, 1.20]
1.27.1 18 to 59 years 5 4573 Risk Ratio (M‐H, Random, 95% CI) 1.22 [0.77, 1.92]
1.27.2 60 and above 9 9607 Risk Ratio (M‐H, Random, 95% CI) 1.07 [0.95, 1.20]
1.28 Cardiovascular mortality according to clinical trial registration status 14 14180 Risk Ratio (M‐H, Random, 95% CI) 1.08 [0.96, 1.20]
1.28.1 Pre‐registration 3 8644 Risk Ratio (M‐H, Random, 95% CI) 1.18 [0.77, 1.80]
1.28.2 Post‐registration 1 4012 Risk Ratio (M‐H, Random, 95% CI) 0.87 [0.63, 1.20]
1.28.3 No registration 10 1524 Risk Ratio (M‐H, Random, 95% CI) 0.86 [0.49, 1.52]
1.29 Cardiovascular mortality according to length of follow‐up 14 14180 Risk Ratio (M‐H, Random, 95% CI) 1.08 [0.96, 1.20]
1.29.1 Trials with less than 12 months follow‐up 5 559 Risk Ratio (M‐H, Random, 95% CI) 0.47 [0.19, 1.16]
1.29.2 Trials with equal to or longer than 12 months follow‐up 9 13621 Risk Ratio (M‐H, Random, 95% CI) 1.09 [0.97, 1.22]
1.30 Cardiovascular mortality according to class of antibiotic 14 14180 Risk Ratio (M‐H, Random, 95% CI) 1.08 [0.96, 1.20]
1.30.1 Macrolide 11 9858 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.95, 1.19]
1.30.2 Tetracycline 2 160 Risk Ratio (M‐H, Random, 95% CI) 0.63 [0.06, 6.20]
1.30.3 Quinolone 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.64 [0.93, 2.89]
1.31 Cardiovascular mortality according to funding 14 14180 Risk Ratio (M‐H, Random, 95% CI) 1.08 [0.96, 1.20]
1.31.1 Industry funded or unknown funded trials 7 9000 Risk Ratio (M‐H, Random, 95% CI) 1.04 [0.72, 1.51]
1.31.2 Non‐industry funded trials 7 5180 Risk Ratio (M‐H, Random, 95% CI) 1.09 [0.97, 1.24]
1.32 Cardiovascular mortality according to control intervention 14 14180 Risk Ratio (M‐H, Random, 95% CI) 1.08 [0.96, 1.20]
1.32.1 Placebo‐controlled trials 11 13848 Risk Ratio (M‐H, Random, 95% CI) 1.09 [0.97, 1.22]
1.32.2 No control intervention 3 332 Risk Ratio (M‐H, Random, 95% CI) 0.58 [0.25, 1.32]
1.33 MYOCARDIAL INFARCTION 17 25523 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.03]
1.34 Myocardial infarction ‐ trials at low risk of bias 3 6113 Risk Ratio (M‐H, Fixed, 95% CI) 0.96 [0.86, 1.07]
1.35 Myocardial infarction ‐ 'best‐worst case' scenario 17 25564 Risk Ratio (M‐H, Random, 95% CI) 0.82 [0.72, 0.94]
1.36 Myocardial infarction ‐ 'worst‐best case' scenario 17 25564 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.90, 1.24]
1.37 Myocardial infarction ‐ modified 'best‐worst case' scenario 17 25564 Risk Ratio (M‐H, Random, 95% CI) 0.91 [0.84, 0.99]
1.38 Myocardial infarction ‐ modified 'worst‐best case' scenario 17 25564 Risk Ratio (M‐H, Random, 95% CI) 1.00 [0.90, 1.10]
1.39 Myocardial infarction ‐ trials with optimal medical therapy 12 23327 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.03]
1.40 Myocardial infarction according to type of antibiotic 17 25523 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.03]
1.40.1 Azithromycin 5 13604 Risk Ratio (M‐H, Random, 95% CI) 0.98 [0.84, 1.14]
1.40.2 Roxithromycin 5 2491 Risk Ratio (M‐H, Random, 95% CI) 0.97 [0.66, 1.42]
1.40.3 Clarithromycin 4 5106 Risk Ratio (M‐H, Random, 95% CI) 0.60 [0.30, 1.22]
1.40.4 Doxycycline 2 160 Risk Ratio (M‐H, Random, 95% CI) 1.32 [0.10, 17.36]
1.40.5 Gatifloxacin 1 4162 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.72, 1.12]
1.40.6 Spiramycin 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
1.41 Myocardial infarction according to antibody status 17 25523 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.03]
1.41.1 People with antibodies 2 8024 Risk Ratio (M‐H, Random, 95% CI) 0.94 [0.75, 1.16]
1.41.2 People without antibodies 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
1.41.3 Mixed 15 17499 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.87, 1.04]
1.42 Myocardial infarction according to use of statins 12 23598 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.03]
1.42.1 People with use of statins 4 4514 Risk Ratio (M‐H, Random, 95% CI) 0.88 [0.71, 1.10]
1.42.2 People without use of statins 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
1.42.3 Mixed 8 19084 Risk Ratio (M‐H, Random, 95% CI) 0.96 [0.88, 1.05]
1.43 Myocardial infarction according to the mean age 17 25523 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.03]
1.43.1 18 to 59 years 3 4404 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.71, 1.10]
1.43.2 60 and above 14 21119 Risk Ratio (M‐H, Random, 95% CI) 0.96 [0.88, 1.05]
1.44 Myocardial infarction according to clinical trial registration status 17 25523 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.03]
1.44.1 Pre‐registration 4 16366 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.87, 1.04]
1.44.2 Post‐registration 1 4012 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.83, 1.32]
1.44.3 No registration 12 5145 Risk Ratio (M‐H, Random, 95% CI) 0.81 [0.61, 1.08]
1.45 Myocardial infarction according to length of follow‐up 17 25523 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.03]
1.45.1 Trials with less than 12 months follow‐up 6 1998 Risk Ratio (M‐H, Random, 95% CI) 0.70 [0.42, 1.15]
1.45.2 Trials with equal to or longer than 12 months follow‐up 11 23525 Risk Ratio (M‐H, Random, 95% CI) 0.96 [0.88, 1.04]
1.46 Myocardial infarction according to class of antibiotic 17 25523 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.03]
1.46.1 Macrolide 14 21201 Risk Ratio (M‐H, Random, 95% CI) 0.96 [0.88, 1.05]
1.46.2 Tetracycline 2 160 Risk Ratio (M‐H, Random, 95% CI) 1.32 [0.10, 17.36]
1.46.3 Quinolone 1 4162 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.72, 1.12]
1.47 Myocardial infarction according to funding 17 25523 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.03]
1.47.1 Industry funded or unknown funded trials 10 18964 Risk Ratio (M‐H, Random, 95% CI) 0.94 [0.84, 1.07]
1.47.2 Non‐industry funded trials 7 6559 Risk Ratio (M‐H, Random, 95% CI) 0.96 [0.86, 1.07]
1.48 Myocardial infarction according to control intervention 17 25515 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.03]
1.48.1 Placebo‐controlled trials 15 25292 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.88, 1.04]
1.48.2 No control intervention 2 223 Risk Ratio (M‐H, Random, 95% CI) 0.38 [0.09, 1.58]
1.49 STROKE 9 14774 Risk Ratio (M‐H, Fixed, 95% CI) 1.14 [1.00, 1.29]
1.50 Stroke ‐ trials at low risk of bias 2 4674 Risk Ratio (M‐H, Fixed, 95% CI) 1.14 [0.99, 1.31]
1.51 Stroke ‐ 'best‐worst case' scenario 9 14779 Risk Ratio (M‐H, Fixed, 95% CI) 0.98 [0.87, 1.11]
1.52 Stroke ‐ 'worst‐best case' scenario 9 14779 Risk Ratio (M‐H, Fixed, 95% CI) 1.29 [1.14, 1.45]
1.53 Stroke ‐ modified 'best‐worst case' scenario 9 14779 Risk Ratio (M‐H, Fixed, 95% CI) 1.05 [0.93, 1.19]
1.54 Stroke ‐ modified 'worst‐best case' scenario 9 14779 Risk Ratio (M‐H, Fixed, 95% CI) 1.21 [1.07, 1.37]
1.55 Stroke ‐ trials with optimal medical therapy 6 13672 Risk Ratio (M‐H, Fixed, 95% CI) 1.13 [0.99, 1.28]
1.56 Stroke according to type of antibiotic 9 14774 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.00, 1.29]
1.56.1 Azithromycin 2 4314 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.59, 1.85]
1.56.2 Roxithromycin 2 1195 Risk Ratio (M‐H, Random, 95% CI) 1.49 [0.21, 10.66]
1.56.3 Clarithromycin 3 4993 Risk Ratio (M‐H, Random, 95% CI) 1.16 [1.01, 1.32]
1.56.4 Gatifloxacin 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.59, 1.88]
1.56.5 Doxycycline 1 110 Risk Ratio (M‐H, Random, 95% CI) 0.50 [0.05, 5.36]
1.57 Stroke according to antibody status 9 14774 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.00, 1.29]
1.57.1 People with antibodies 1 302 Risk Ratio (M‐H, Random, 95% CI) 0.34 [0.04, 3.21]
1.57.2 People without antibodies 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
1.57.3 Mixed 8 14472 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.01, 1.29]
1.58 Stroke according to use of statins 7 14145 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.00, 1.29]
1.58.1 People with use of statins 2 4272 Risk Ratio (M‐H, Random, 95% CI) 1.01 [0.57, 1.77]
1.58.2 People without use of statins 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
1.58.3 Mixed 5 9873 Risk Ratio (M‐H, Random, 95% CI) 1.15 [1.01, 1.30]
1.59 Stroke according to the mean age 9 14774 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.00, 1.29]
1.59.1 18 to 59 years 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.59, 1.88]
1.59.2 60 and above 8 10612 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.00, 1.30]
1.60 Stroke according to clinical trial registration status 9 14774 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.00, 1.29]
1.60.1 Pre‐registration 3 8644 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.00, 1.30]
1.60.2 Post‐registration 1 4012 Risk Ratio (M‐H, Random, 95% CI) 1.13 [0.74, 1.72]
1.60.3 No registration 5 2118 Risk Ratio (M‐H, Random, 95% CI) 1.11 [0.59, 2.09]
1.61 Stroke according to length of follow‐up 9 14774 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.00, 1.29]
1.61.1 Trials with less than 12 months follow‐up 1 110 Risk Ratio (M‐H, Random, 95% CI) 0.50 [0.05, 5.36]
1.61.2 Trials with equal to or longer than 12 months follow‐up 8 14664 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.01, 1.29]
1.62 Stroke according to class of antibiotic 9 14774 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.00, 1.29]
1.62.1 Macrolide 7 10502 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.01, 1.30]
1.62.2 Tetracycline 1 110 Risk Ratio (M‐H, Random, 95% CI) 0.50 [0.05, 5.36]
1.62.3 Quinolone 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.59, 1.88]
1.63 Stroke according to funding 9 14774 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.00, 1.29]
1.63.1 Industry funded or unknown funded trials 6 9990 Risk Ratio (M‐H, Random, 95% CI) 1.13 [0.83, 1.52]
1.63.2 Non‐industry funded trials 3 4784 Risk Ratio (M‐H, Random, 95% CI) 1.14 [0.99, 1.31]
1.64 Stroke according to control intervention 9 14774 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.00, 1.29]
1.64.1 Placebo‐controlled trials 8 14664 Risk Ratio (M‐H, Random, 95% CI) 1.14 [1.01, 1.29]
1.64.2 No control intervention 1 110 Risk Ratio (M‐H, Random, 95% CI) 0.50 [0.05, 5.36]
1.65 SUDDEN CARDIAC DEATH 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.66 Sudden cardiac death ‐ trials at low risk of bias 1 4372 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.89, 1.30]
1.67 Sudden cardiac death ‐ 'best‐worst case' scenario 2 4521 Risk Ratio (M‐H, Fixed, 95% CI) 1.00 [0.83, 1.20]
1.68 Sudden cardiac death ‐ 'worst‐best case' scenario 2 4521 Risk Ratio (M‐H, Fixed, 95% CI) 1.14 [0.95, 1.37]
1.69 Sudden cardiac death ‐ modified 'best‐worst case' scenario 2 4521 Risk Ratio (M‐H, Fixed, 95% CI) 1.04 [0.86, 1.25]
1.70 Sudden cardiac death ‐ modified 'worst‐best case' scenario 2 4521 Risk Ratio (M‐H, Fixed, 95% CI) 1.11 [0.92, 1.34]
1.71 Sudden cardiac death according to clinical trial registration status 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.71.1 Pre‐registration 1 4372 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.89, 1.30]
1.71.2 Post‐registration 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
1.71.3 No registration 1 148 Risk Ratio (M‐H, Fixed, 95% CI) 3.00 [0.12, 72.47]
1.72 Sudden cardiac death according to funding 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.72.1 Industry funded or unknown funded trials 1 148 Risk Ratio (M‐H, Fixed, 95% CI) 3.00 [0.12, 72.47]
1.72.2 Non‐industry funded trials 1 4372 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.89, 1.30]
1.73 Sudden cardiac death according to type of antibiotic 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.73.1 Clarithromycin 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.74 Sudden cardiac death according to antibody status 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.74.1 People with antibodies 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
1.74.2 People without antibodies 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
1.74.3 Mixed 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.75 Sudden cardiac death according to use of statins 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.75.1 People with use of statins 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
1.75.2 People without use of statins 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
1.75.3 Mixed 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.76 Sudden cardiac death according to the mean age 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.76.1 18 to 59 years 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
1.76.2 60 and above 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.77 Sudden cardiac death according to length of follow‐up 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.77.1 Trials with less than 12 months follow‐up 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
1.77.2 Trials with equal to or longer than 12 months follow‐up 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.78 Sudden cardiac death according to class of antibiotic 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.78.1 Macrolide 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.78.2 Tetracycline 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
1.78.3 Quinolone 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
1.79 Sudden cardiac death according to control intervention 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.79.1 Placebo‐controlled trials 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.90, 1.31]
1.79.2 No control intervention 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
1.80 HOSPITALISATION FOR ANY CAUSE 7 18615 Risk Ratio (M‐H, Fixed, 95% CI) 1.04 [0.91, 1.19]
1.81 REVASCULARISATION 11 19631 Risk Ratio (M‐H, Fixed, 95% CI) 0.98 [0.91, 1.05]
1.82 UNSTABLE ANGINA PECTORIS 9 22172 Risk Ratio (M‐H, Fixed, 95% CI) 1.02 [0.92, 1.12]

Comparison 2. Antibiotics versus placebo for secondary prevention of coronary heart disease at 24±6 months follow‐up.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
2.1 ALL‐CAUSE MORTALITY 6 9517 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.06, 1.48]
2.2 All‐cause mortality ‐ trials at low risk of bias 2 4674 Risk Ratio (M‐H, Fixed, 95% CI) 1.25 [1.03, 1.51]
2.3 All‐cause mortality ‐ 'best‐worst case' scenario 6 9518 Risk Ratio (M‐H, Fixed, 95% CI) 1.22 [1.03, 1.43]
2.4 All‐cause mortality ‐ 'worst‐best case' scenario 6 9518 Risk Ratio (M‐H, Fixed, 95% CI) 1.31 [1.11, 1.54]
2.5 All‐cause mortality ‐ modified 'best‐worst case' scenario 6 9518 Risk Ratio (M‐H, Fixed, 95% CI) 1.24 [1.05, 1.46]
2.6 All‐cause mortality ‐ modified 'worst‐best case' scenario 6 9518 Risk Ratio (M‐H, Fixed, 95% CI) 1.28 [1.09, 1.51]
2.7 All‐cause mortality ‐ trials with optimal medical therapy 3 8682 Risk Ratio (M‐H, Random, 95% CI) 1.27 [1.07, 1.50]
2.8 All‐cause mortality according to type of antibiotic 6 9517 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.06, 1.48]
2.8.1 Azithromycin 2 362 Risk Ratio (M‐H, Random, 95% CI) 1.07 [0.33, 3.43]
2.8.2 Clarithromycin 3 4993 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.04, 1.51]
2.8.3 Gatifloxacin 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.29 [0.89, 1.85]
2.9 All‐cause mortality according to antibody status 6 9517 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.06, 1.48]
2.9.1 People with antibodies 2 362 Risk Ratio (M‐H, Random, 95% CI) 1.07 [0.33, 3.43]
2.9.2 People without antibodies 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.9.3 Mixed 4 9155 Risk Ratio (M‐H, Random, 95% CI) 1.26 [1.07, 1.49]
2.10 All‐cause mortality according to use of statins 4 9155 Risk Ratio (M‐H, Random, 95% CI) 1.26 [1.07, 1.49]
2.10.1 People with use of statins 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.29 [0.89, 1.85]
2.10.2 People without use of statins 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.10.3 Mixed 3 4993 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.04, 1.51]
2.11 All‐cause mortality according to the mean age 6 9517 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.06, 1.48]
2.11.1 18 to 59 years 2 4222 Risk Ratio (M‐H, Random, 95% CI) 1.26 [0.88, 1.82]
2.11.2 60 and above 4 5295 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.04, 1.51]
2.12 All‐cause mortality according to clinical trial registration status 6 9517 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.06, 1.48]
2.12.1 Pre‐registration 2 8534 Risk Ratio (M‐H, Random, 95% CI) 1.26 [1.06, 1.49]
2.12.2 Post‐registration 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.12.3 No registration 4 983 Risk Ratio (M‐H, Random, 95% CI) 1.23 [0.63, 2.40]
2.13 All‐cause mortality according to class of antibiotic 6 9517 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.06, 1.48]
2.13.1 Macrolides 5 5355 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.04, 1.50]
2.13.2 Tetracycline 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.13.3 Quinolone 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.29 [0.89, 1.85]
2.14 All‐cause mortality according to funding 6 9517 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.06, 1.48]
2.14.1 Industry funded or unknown funded trials 3 4783 Risk Ratio (M‐H, Random, 95% CI) 1.29 [0.93, 1.80]
2.14.2 Non‐industry funded trials 3 4734 Risk Ratio (M‐H, Random, 95% CI) 1.24 [1.03, 1.50]
2.15 All‐cause mortality according to control intervention 6 9517 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.06, 1.48]
2.15.1 Placebo‐controlled trials 6 9517 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.06, 1.48]
2.15.2 No control intervention 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.16 CARDIOVASCULAR MORTALITY 5 9044 Risk Ratio (M‐H, Fixed, 95% CI) 1.50 [1.17, 1.91]
2.17 Cardiovascular mortality ‐ trials at low risk of bias 2 4674 Risk Ratio (M‐H, Fixed, 95% CI) 1.43 [1.09, 1.89]
2.18 Cardiovascular mortality ‐ 'best‐worst case' scenario 5 9045 Risk Ratio (M‐H, Fixed, 95% CI) 1.39 [1.09, 1.77]
2.19 Cardiovascular mortality ‐ 'worst‐best case' scenario 5 9045 Risk Ratio (M‐H, Fixed, 95% CI) 1.60 [1.26, 2.04]
2.20 Cardiovascular mortality ‐ modified 'best‐worst case' scenario 5 9045 Risk Ratio (M‐H, Fixed, 95% CI) 1.44 [1.13, 1.84]
2.21 Cardiovascular mortality ‐ modified 'worst‐best case' scenario 5 9045 Risk Ratio (M‐H, Fixed, 95% CI) 1.56 [1.22, 1.98]
2.22 Cardiovascular mortality ‐ trials with optimal medical therapy 3 8682 Risk Ratio (M‐H, Fixed, 95% CI) 1.52 [1.18, 1.95]
2.23 Cardiovascular mortality according to type of antibiotic 5 9044 Risk Ratio (M‐H, Random, 95% CI) 1.48 [1.15, 1.89]
2.23.1 Azithromycin 2 362 Risk Ratio (M‐H, Random, 95% CI) 1.07 [0.33, 3.43]
2.23.2 Clarithromycin 2 4520 Risk Ratio (M‐H, Random, 95% CI) 2.00 [0.50, 7.94]
2.23.3 Gatifloxacin 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.64 [0.93, 2.89]
2.24 Cardiovascular mortality according to antibody status 5 9044 Risk Ratio (M‐H, Random, 95% CI) 1.48 [1.15, 1.89]
2.24.1 People with antibodies 2 362 Risk Ratio (M‐H, Random, 95% CI) 1.07 [0.33, 3.43]
2.24.2 People without antibodies 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.24.3 Mixed 3 8682 Risk Ratio (M‐H, Random, 95% CI) 1.50 [1.16, 1.93]
2.25 Cardiovascular mortality according to use of statins 3 8682 Risk Ratio (M‐H, Random, 95% CI) 1.50 [1.16, 1.93]
2.25.1 People with use of statins 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.64 [0.93, 2.89]
2.25.2 People without use of statins 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.25.3 Mixed 2 4520 Risk Ratio (M‐H, Random, 95% CI) 2.00 [0.50, 7.94]
2.26 Cardiovascular mortality according to the mean age 5 9044 Risk Ratio (M‐H, Random, 95% CI) 1.48 [1.15, 1.89]
2.26.1 18 to 59 years 2 4222 Risk Ratio (M‐H, Random, 95% CI) 1.56 [0.89, 2.72]
2.26.2 60 and above 3 4822 Risk Ratio (M‐H, Random, 95% CI) 1.46 [1.11, 1.92]
2.27 Cardiovascular mortality according to clinical trial registration status 5 9044 Risk Ratio (M‐H, Random, 95% CI) 1.48 [1.15, 1.89]
2.27.1 Pre‐registration 2 8534 Risk Ratio (M‐H, Random, 95% CI) 1.48 [1.15, 1.91]
2.27.2 Post‐registration 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.27.3 No registration 3 510 Risk Ratio (M‐H, Random, 95% CI) 1.48 [0.43, 5.10]
2.28 Cardiovascular mortality according to class of antibiotic 5 9044 Risk Ratio (M‐H, Random, 95% CI) 1.48 [1.15, 1.89]
2.28.1 Macrolides 4 4882 Risk Ratio (M‐H, Random, 95% CI) 1.44 [1.10, 1.90]
2.28.2 Tetracycline 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.28.3 Quinolone 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.64 [0.93, 2.89]
2.29 Cardiovascular mortality according to funding 5 9044 Risk Ratio (M‐H, Random, 95% CI) 1.48 [1.15, 1.89]
2.29.1 Industry funded or unknown funded trials 2 4310 Risk Ratio (M‐H, Random, 95% CI) 2.09 [0.64, 6.82]
2.29.2 Non‐industry funded trials 3 4734 Risk Ratio (M‐H, Random, 95% CI) 1.42 [1.08, 1.87]
2.30 Cardiovascular mortality according to control intervention 5 9044 Risk Ratio (M‐H, Random, 95% CI) 1.48 [1.15, 1.89]
2.30.1 Placebo‐controlled trials 5 9044 Risk Ratio (M‐H, Random, 95% CI) 1.48 [1.15, 1.89]
2.30.2 No control intervention 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.31 MYOCARDIAL INFARCTION 5 9457 Risk Ratio (M‐H, Fixed, 95% CI) 0.95 [0.82, 1.11]
2.32 Myocardial infarction ‐ trials at low risk of bias 2 4674 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.87, 1.33]
2.33 Myocardial infarction ‐ 'best‐worst case' scenario 5 9458 Risk Ratio (M‐H, Fixed, 95% CI) 0.93 [0.80, 1.08]
2.34 Myocardial infarction ‐ 'worst‐best case' scenario 5 9458 Risk Ratio (M‐H, Fixed, 95% CI) 0.99 [0.85, 1.15]
2.35 Myocardial infarction ‐ modified 'best‐worst case' scenario 5 9458 Risk Ratio (M‐H, Fixed, 95% CI) 0.94 [0.81, 1.09]
2.36 Myocardial infarction ‐ modified 'worst‐best case' scenario 5 9458 Risk Ratio (M‐H, Fixed, 95% CI) 0.97 [0.84, 1.13]
2.37 Myocardial infarction ‐ trials with optimal medical therapy 3 8682 Risk Ratio (M‐H, Fixed, 95% CI) 0.96 [0.83, 1.12]
2.38 Myocardial infarction according to type of antibiotic 5 9457 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.68, 1.17]
2.38.1 Azithromycin 1 302 Risk Ratio (M‐H, Random, 95% CI) 0.68 [0.19, 2.35]
2.38.2 Clarithromycin 3 4993 Risk Ratio (M‐H, Random, 95% CI) 0.64 [0.25, 1.63]
2.38.3 Gatifloxacin 1 4162 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.72, 1.12]
2.39 Myocardial infarction according to antibody status 5 9457 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.68, 1.17]
2.39.1 People with antibodies 1 302 Risk Ratio (M‐H, Random, 95% CI) 0.68 [0.19, 2.35]
2.39.2 People without antibodies 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.39.3 Mixed 4 9155 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.65, 1.21]
2.40 Myocardial infarction according to use of statins 5 9457 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.68, 1.17]
2.40.1 People with use of statins 1 4162 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.72, 1.12]
2.40.2 People without use of statins 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.40.3 Mixed 4 5295 Risk Ratio (M‐H, Random, 95% CI) 0.69 [0.35, 1.36]
2.41 Myocardial infarction according to the mean age 5 9457 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.68, 1.17]
2.41.1 18 to 59 years 1 4162 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.72, 1.12]
2.41.2 60 and above 4 5295 Risk Ratio (M‐H, Random, 95% CI) 0.69 [0.35, 1.36]
2.42 Myocardial infarction according to clinical trial registration status 5 9457 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.68, 1.17]
2.42.1 Pre‐registration 2 8534 Risk Ratio (M‐H, Random, 95% CI) 0.99 [0.81, 1.21]
2.42.2 Post‐registration 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.42.3 No registration 3 923 Risk Ratio (M‐H, Random, 95% CI) 0.44 [0.21, 0.91]
2.43 Myocardial infarction according to class of antibiotic 5 9457 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.68, 1.17]
2.43.1 Macrolide 4 5295 Risk Ratio (M‐H, Random, 95% CI) 0.69 [0.35, 1.36]
2.43.2 Tetracycline 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.43.3 Quinolone 1 4162 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.72, 1.12]
2.44 Myocardial infarction according to funding 5 9457 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.68, 1.17]
2.44.1 Industry funded or unknown funded trials 3 4783 Risk Ratio (M‐H, Random, 95% CI) 0.62 [0.30, 1.28]
2.44.2 Non‐industry funded trials 2 4674 Risk Ratio (M‐H, Random, 95% CI) 1.08 [0.87, 1.34]
2.45 Myocardial infarction according to control intervention 5 9457 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.68, 1.17]
2.45.1 Placebo‐controlled trials 5 9457 Risk Ratio (M‐H, Random, 95% CI) 0.89 [0.68, 1.17]
2.45.2 No control intervention 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.46 STROKE 5 9457 Risk Ratio (M‐H, Fixed, 95% CI) 1.17 [0.90, 1.52]
2.47 Stroke ‐ trials at low risk of bias 2 4674 Risk Ratio (M‐H, Fixed, 95% CI) 1.17 [0.86, 1.60]
2.48 Stroke ‐ 'best‐worst case' scenario 5 9458 Risk Ratio (M‐H, Fixed, 95% CI) 1.08 [0.84, 1.40]
2.49 Stroke ‐ 'worst‐best case' scenario 5 9458 Risk Ratio (M‐H, Fixed, 95% CI) 1.28 [0.99, 1.66]
2.50 Stroke ‐ modified 'best‐worst case' scenario 5 9458 Risk Ratio (M‐H, Fixed, 95% CI) 1.13 [0.87, 1.46]
2.51 Stroke ‐ modified 'worst‐best case' scenario 5 9458 Risk Ratio (M‐H, Fixed, 95% CI) 1.23 [0.95, 1.60]
2.52 Stroke ‐ trials with optimal medical therapy 3 8682 Risk Ratio (M‐H, Fixed, 95% CI) 1.16 [0.88, 1.53]
2.53 Stroke according to type of antibiotic 5 9457 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.90, 1.53]
2.53.1 Azithromycin 1 302 Risk Ratio (M‐H, Random, 95% CI) 0.34 [0.04, 3.21]
2.53.2 Clarithromycin 3 4993 Risk Ratio (M‐H, Random, 95% CI) 1.24 [0.92, 1.67]
2.53.3 Gatifloxacin 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.59, 1.88]
2.54 Stroke according to antibody status 5 9457 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.90, 1.53]
2.54.1 People with antibodies 1 302 Risk Ratio (M‐H, Random, 95% CI) 0.34 [0.04, 3.21]
2.54.2 People without antibodies 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.54.3 Mixed 4 9155 Risk Ratio (M‐H, Random, 95% CI) 1.20 [0.92, 1.56]
2.55 Stroke according to use of statins 5 9457 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.90, 1.53]
2.55.1 People with use of statins 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.59, 1.88]
2.55.2 People without use of statins 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.55.3 Mixed 4 5295 Risk Ratio (M‐H, Random, 95% CI) 1.21 [0.90, 1.63]
2.56 Stroke according to the mean age 5 9453 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.90, 1.53]
2.56.1 18 to 59 years 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.59, 1.88]
2.56.2 60 and above 4 5291 Risk Ratio (M‐H, Random, 95% CI) 1.21 [0.90, 1.63]
2.57 Stroke according to clinical trial registration status 5 9457 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.90, 1.53]
2.57.1 Pre‐registration 2 8534 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.88, 1.54]
2.57.2 Post‐registration 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.57.3 No registration 3 923 Risk Ratio (M‐H, Random, 95% CI) 1.24 [0.52, 2.95]
2.58 Stroke according to class of antibiotic 5 9457 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.90, 1.53]
2.58.1 Macrolide 4 5295 Risk Ratio (M‐H, Random, 95% CI) 1.21 [0.90, 1.63]
2.58.2 Tetracycline 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.58.3 Quinolone 1 4162 Risk Ratio (M‐H, Random, 95% CI) 1.05 [0.59, 1.88]
2.59 Stroke according to funding 5 9457 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.90, 1.53]
2.59.1 Industry funded or unknown funded trials 3 4783 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.71, 1.92]
2.59.2 Non‐industry funded trials 2 4674 Risk Ratio (M‐H, Random, 95% CI) 1.06 [0.50, 2.25]
2.60 Stroke according to control intervention 5 9457 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.90, 1.53]
2.60.1 Placebo‐controlled trials 5 9457 Risk Ratio (M‐H, Random, 95% CI) 1.17 [0.90, 1.53]
2.60.2 No control intervention 0 0 Risk Ratio (M‐H, Random, 95% CI) Not estimable
2.61 SUDDEN CARDIAC DEATH 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.62 Sudden cardiac death ‐ trials at low risk of bias 1 4372 Risk Ratio (M‐H, Fixed, 95% CI) 1.75 [1.27, 2.42]
2.63 Sudden cardiac death ‐ 'best‐worst case' scenario 2 4521 Risk Ratio (M‐H, Fixed, 95% CI) 1.68 [1.22, 2.30]
2.64 Sudden cardiac death ‐ 'worst‐best case' scenario 2 4521 Risk Ratio (M‐H, Fixed, 95% CI) 1.91 [1.39, 2.62]
2.65 Sudden cardiac death ‐ modified 'best‐worst case' scenario 2 4521 Risk Ratio (M‐H, Fixed, 95% CI) 1.74 [1.26, 2.39]
2.66 Sudden cardiac death ‐ modified 'worst‐best case' scenario 2 4521 Risk Ratio (M‐H, Fixed, 95% CI) 1.84 [1.34, 2.53]
2.67 Sudden cardiac death according to clinical trial registration status 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.67.1 Pre‐registration 1 4372 Risk Ratio (M‐H, Fixed, 95% CI) 1.75 [1.27, 2.42]
2.67.2 Post‐registration 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
2.67.3 No registration 1 148 Risk Ratio (M‐H, Fixed, 95% CI) 3.00 [0.12, 72.47]
2.68 Sudden cardiac death according to funding 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.68.1 Industry funded or unknown funded trials 1 148 Risk Ratio (M‐H, Fixed, 95% CI) 3.00 [0.12, 72.47]
2.68.2 Non‐industry funded trials 1 4372 Risk Ratio (M‐H, Fixed, 95% CI) 1.75 [1.27, 2.42]
2.69 Sudden cardiac death according to type of antibiotic 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.69.1 Clarithromycin 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.70 Sudden cardiac death according to antibody status 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.70.1 People with antibodies 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
2.70.2 People without antibodies 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
2.70.3 Mixed 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.71 Sudden cardiac death according to use of statins 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.71.1 People with use of statins 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
2.71.2 People without use of statins 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
2.71.3 Mixed 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.72 Sudden cardiac death according to the mean age 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.72.1 18 to 59 years 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
2.72.2 60 and above 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.73 Sudden cardiac death according to class of antibiotic 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.73.1 Macrolide 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.73.2 Tetracycline 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
2.73.3 Quinolone 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
2.74 Sudden cardiac death according to control intervention 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.74.1 Placebo‐controlled trials 2 4520 Risk Ratio (M‐H, Fixed, 95% CI) 1.77 [1.28, 2.44]
2.74.2 No control intervention 0 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
2.75 HOSPITALISATION FOR ANY CAUSE 2 4464 Risk Ratio (M‐H, Fixed, 95% CI) 1.03 [0.78, 1.34]
2.76 REVASCULARISATION 3 4937 Risk Ratio (M‐H, Fixed, 95% CI) 0.94 [0.83, 1.07]
2.77 UNSTABLE ANGINA PECTORIS 4 5085 Risk Ratio (M‐H, Random, 95% CI) 0.96 [0.75, 1.23]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

ACADEMIC 1999.

Study characteristics
Methods Randomised clinical trial in the USA.
Treatment time: 3 months.
Length of follow‐up: 24 months.
Participants 302 participants with coronary artery disease documented by a previous myocardial infarction, bypass surgery, or >50% angiographic stenosis of ≥1 major coronary artery; were >18 years of age; had a life expectancy of >2 years; were seropositive to Chlamydia pneumoniae (IgG titers≥1:16), and gave written informed consent were included.
Male:female = 177:125.
Mean age = 64 years.
Exclusion criteria: female patient capable of childbearing without adequate birth control; NYHA functional class III or IV congestive heart failure or left ventricular ejection fraction <25%; myocardial infarction within 5 days or bypass surgery within 4 weeks or percutaneous coronary intervention (any technique) within 3 months; planned CABG or coronary intervention; significant comorbid illnesses, including active malignancy, ongoing drug or alcohol abuse, renal failure requiring dialysis, liver failure, with a projected life expectancy of <2 years; known intolerance to azithromycin; and chronic macrolide (e.g. erythromycin) or tetracycline use.
Interventions Experimental group: azithromycin, 500 mg/daily for 3 days and then 500 mg/week for 3 months (n = 150).
Control group: placebo (n = 152).
Co‐interventions: none mentioned.
Outcomes Cardiovascular death; resuscitated cardiac arrest; nonfatal myocardial infarction; stroke; unstable angina; unplanned coronary revascularization (catheter based or surgical); other cardiovascular hospitalisations or procedures; adverse experiences and drug discontinuations; and clinical infections.
Notes The trialists were contacted on JBrent.Muhlestein@imail.org the 23. July 2017, but did not reply. The trialists were again contacted on JBrent.Muhlestein@imail.org and jeffreyl.anderson@imail.org, respectively, the 07. February 2018 and replied the 07. March 2018.
This study was supported in part by a grant from the Deseret Foundation, LDS Hospital, Salt Lake City, Utah.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk The trialists replied:
Quote: "The random sequence was generated by a standard statistical computer package."
Allocation concealment (selection bias) Low risk The trialists replied;
Quote: "Envelopes were sealed, opaque, and numbered."
Blinding of participants and personnel (performance bias)
All outcomes Low risk An unblinded, independent pharmacist, who was uninvolved in clinical management except for provision of blinded drug supplies randomised the participants.
Blinding of outcome assessment (detection bias)
All outcomes Low risk Blinded adjudication of all primary endpoints was performed by an endpoints committee.
Incomplete outcome data (attrition bias)
All outcomes Low risk No patient was lost to follow‐up.
Selective reporting (reporting bias) Low risk The protocol was not published, and the trial was not registered. However, the trial reported all‐cause mortality and a lot of different kinds of serious adverse event. Hence, we believe that there is no reporting bias.
Other bias Low risk No other biases were found.

ACES 2005.

Study characteristics
Methods Randomised clinical trial at 28 sites in the USA between April 1999 and May 2000.
Treatment time: 12 months.
Length of follow‐up: 47 months (mean).
Participants 4012 participants, 18 years of age or older, who had documented, stable coronary heart disease (defined as a previous myocardial infarction documented on the basis of enzyme‐related criteria, angiographic evidence of at least 50 percent stenosis of a coronary artery, or previous coronary revascularisation) were included.
Male:female = 3189:823.
Mean age = 65 years.
Exclusion criteria: patients were excluded if during the preceding three months they had had a myocardial infarction, undergone coronary revascularisation, or been hospitalised for unstable angina. Additional reasons for exclusion were severe cardiac disease (New York Heart Association class III or IV congestive heart failure or stage III or IV angina), allergy to macrolide antibiotics, clinically significant renal or hepatic dysfunction, cancer, ongoing antibiotic therapy, or immunosuppression.
Interventions Experimental group: azithromycin (600 mg) weekly for one year (n = 2004).
Control group: placebo (n = 2008).
Co‐intervention: aspirin, statins, ACE inhibitors, beta blockers, calcium channel blockers.
Outcomes A composite of death due to coronary heart disease, nonfatal myocardial infarction, coronary revascularisation, or hospitalisation for unstable angina. Every component of the primary endpoint was also assessed alone. Moreover, death from any cause, stroke, cardiac collapse followed by resuscitation, carotid endarterectomy, and peripheral revascularisation were also assessed.
Notes The trialists were contacted on grayston@uw.edu the 23. July 2017, but did not reply. The trialists were again contacted on grayston@uw.edu and kronmal@u.washington.edu, respectively, the 07. February 2018.
Supported by the National Heart, Lung, and Blood Institute and Pfizer.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Participants and all site investigators remained blinded to the treatment assignment through the end of follow‐up and data collection.
Blinding of outcome assessment (detection bias)
All outcomes Low risk The members of a clinical endpoint committee, who were blinded to the treatment‐group assignment, adjudicated the endpoints. Two committee members adjudicated each endpoint separately, and if there was disagreement, a third member resolved the difference.
Incomplete outcome data (attrition bias)
All outcomes Low risk 86 participants (2%) were either lost to follow‐up or withdrew consent. They were divided similar between the azithromycin group (44 participants) and the placebo group (42 patients).
Selective reporting (reporting bias) Low risk The trial was pre‐registered on clinicaltrials.gov (NCT00000617). All outcomes analysed in the main paper was predefined in the pre‐registration.
Other bias Low risk No other biases were found.

Aleksiadi 2007.

Study characteristics
Methods Randomised clinical trial at one site in Georgia.
Treatment time: 6 weeks.
Length of follow‐up: No data were included from the trial.
Participants 73 patients with acute myocardial infarction and one vessel lesion were included.
Male:female = not mentioned.
Mean age = not mentioned.
Exclusion criteria: not mentioned.
Interventions Experimental group: spiramycin, 3 MIU once a day for six weeks (n = 31).
Control group: no intervention other than co‐intervention (n = 42).
Co‐intervention: 100 mg aspirin and 75 mg clopidogrel once a day.
Outcomes Major adverse cardiac events; and restenosis rate.
Notes The e‐mail could not be obtained for any trialists.
It was unclear how the trial was funded.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk It was not described if any participants were lost to follow‐up.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality or serious adverse event.
Other bias Low risk No other biases were found.

ANTIBIO 2003.

Study characteristics
Methods Randomised clinical trial at 68 sites in Germany between September 1999 and April 2001.
Treatment time: 6 weeks.
Length of follow‐up: 12 months.
Participants 872 participants with a ST‐elevation or non–ST‐elevation acute myocardial infarction within 48 hours after symptom onset were included.
Male:female = 691:181.
Mean age = 60.7 years.
Exclusion criteria: participation in another study, pregnancy, lactation, allergy to roxithromycin or other macrolides, clinically relevant diseases of the liver or the central nervous system or other systemic diseases that could interfere with adherence to the study protocol, concomitant use of ergotamine‐ or dihydroergotamine‐containing drugs, and foreseeable inability to complete the follow‐up
Interventions Experimental group: roxithromycin (300 mg) daily for 6 weeks (n = 433).
Control group: placebo (n = 439).
Co‐intervention: aspirin, IIb/IIa antagonists, beta blockers, ACE inhibitors, other antibiotics than macrolide, clopidogrel, ticlopidine, statins.
Outcomes All‐cause mortality; a combined endpoint of death, reinfarction, resuscitation, stroke, or postinfarction angina until hospital discharge; a combined endpoint of death, reinfarction, resuscitation, stroke, or unstable angina leading to hospital admission within 12 months; and the rate of percutaneous coronary intervention or coronary artery bypass surgery within 12 months.
Notes The trialists were contacted on erzahn@aol.com the 23. July 2017, but did not reply. The trialists were again contacted on erzahn@aol.com and schneider@stiftung‐ihf.de the 07. February 2018.
Aventis Pharma gGmbH funded the trial without taking influence on the design of the trial, collection, analysis, and interpretation of the data.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Block‐wise randomisation for each centre with blocks of 8 patients.
Allocation concealment (selection bias) Low risk Coded closed envelopes.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Roxithromycin was blinded and the trial used a matching placebo.
Blinding of outcome assessment (detection bias)
All outcomes Low risk Two physicians examined all patient files to determine whether the events recorded fulfilled criteria of either primary or secondary endpoints. This was done before the treatment code was opened.
Incomplete outcome data (attrition bias)
All outcomes Low risk Four participants were lost for follow‐up, two in each group. Less than 1% of the whole sample.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained. Moreover, the trial did not report all serious adverse event.
Other bias Low risk No other biases were found.

AZACS 2003.

Study characteristics
Methods Randomised clinical trial at seven sites in Slovenia, Germany, Austria, Israel, and the United States.
Treatment time: 5 days.
Length of follow‐up: 6 months.
Participants 1439 participants, 18 years or older, with unstable angina or acute myocardial infarction were included.
Male:female = 1038:401
Mean age = 65 years.
Exclusion criteria: Q‐wave myocardial infarction within the past 28 days of the current admission; pregnant or breastfeeding; deemed unreliable as study participants; participating in another clinical study; hypersensitivity to azithromycin, erythromycin, or any macrolide antibiotic; or had other important diseases or co‐morbidities (e.g. terminal cancer, life‐threatening infection) that could compromise the patient’s safety or participation in the study.
Interventions Experimental group: azithromycin (500 mg) on the first day after randomisation, followed by 250 mg daily for 4 days (n = 716).
Control group: placebo (n = 723).
Co‐intervention: other treatment, or diagnostic or therapeutic procedures, except treatment with macrolide antibiotics, were allowed at the discretion of the patient’s doctor (e.g. beta blockers, calcium antagonists, digitalis, diuretics, antiplatelet agents, anticoagulants, antiarrhythmics, nitrates, antidiabetic drugs, ACE inhibitors, lipid‐lowering drugs, antibiotics other than macrolide).
Outcomes Composite outcome of death, recurrent myocardial infarction, or recurrent ischaemia necessitating revascularisation; worsening of ischaemic symptoms; congestive heart failure requiring admission.
Notes The trialists were contacted on bojan.cercek@cshs.org the 23. July 2017, but did not reply. The trialists were again contacted the 07. February 2018 on bojan.cercek@cshs.org and shahp@cshs.org and replied the 13. February 2018.
The Heart Fund at Cedars‐Sinai Medical Center and institutional funds of the participating centres funded the study. They had no role in the study design, data collection, data analysis, data interpretation, or writing of the report. There was no industrial support for the study.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk The trialists replied:
"Randomisation was 1:1 and the technique used was 'simple randomisation'."
Allocation concealment (selection bias) Low risk Sealed, tamper‐evident envelopes.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Active drugs or matched placebo were delivered in identical bottles, which were dispensed sequentially.
Blinding of outcome assessment (detection bias)
All outcomes Low risk The site principal investigator initially judged the endpoints. Documentation pertinent to the endpoints from all sites was forwarded to the coordinating centre for assessment by the study principal investigator. When necessary, additional information was sought or was obtained during the principal investigator’s visit to the participating centres. After the study ended, an experienced cardiologist not associated with the study reassessed all endpoints. All evaluators were unaware of the treatment assignments.
Incomplete outcome data (attrition bias)
All outcomes Low risk 27 patients were lost to follow‐up, 13 in the azithromycin group and 14 in the placebo group, which is less than 2% of the overall sample.
Selective reporting (reporting bias) Low risk No protocol was published and the trial was not registered. However, the trial reported all‐cause mortality and a lot of different kinds of serious adverse event. Hence, we believe that there is no reporting bias.
Other bias Low risk No other bias were found.

Berg 2005.

Study characteristics
Methods Randomised clinical trial at one site in the Netherlands between July 1999 and July 2001.
Treatment time: 16 days (mean).
Length of follow‐up: 24 months.
Participants 473 participants with documented coronary artery disease that had been scheduled for coronary artery bypass grafting were included.
Male:female = 374:99.
Mean age = 64.4 years.
Exclusion criteria: scheduled for a procedure including valve replacement or reconstruction; participation in another study; concomitant treatment with terfenadine, rifabutin, cisapride, or antipyrine; concomitant antibiotic therapy with a macrolide, tetracycline, or quinolone within 3 months prior to enrolment or during the study period; the presence of renal failure (defined as a serum creatinine rate >150 mmol/L); elevated liver function test results (defined as levels of alanine transaminase >55 U/L, aspartate transaminase >45 U/L, total bilirubin >27 mmol/L, and alkaline phosphatase >180U/L); and being a female capable of child‐bearing but not taking adequate birth control precautions.
Interventions Experimental group: clarithromycin (500 mg) slow‐release tablet once daily from the time of randomisation until the day of surgery (average = 16 days) (n = 238).
Control group: matching placebo tablet (n = 235).
Co‐intervention: statins and anti‐hypertension drugs.
Outcomes Overall mortality; reappearance of angina pectoris; myocardial infarction; additional percutaneous coronary intervention or coronary artery bypass surgery; stroke; peripheral artery disease that required bypass or percutaneous intervention.
Notes The trialists were contacted on jankluytmans@gmail.com the 23. July 2017, but did not reply. The trialists were again contacted on jankluytmans@gmail.com and jkluijtm@umcutrecht.nl the 07. February 2018 and replied the 07. February 2018.
It was unclear how the trial was funded. Nevertheless, the tablets were obtained from Abbott Laboratories.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation table.
Allocation concealment (selection bias) Low risk An independent pharmacist dispensed either clarithromycin or matching placebo tablets. The randomisation code was revealed to the researcher after the 2.5 years of follow‐up was completed.
Blinding of participants and personnel (performance bias)
All outcomes Low risk The study medication consisted of either a daily dose of 500 mg slow‐release tablet of clarithromycin or a matching placebo tablet. An independent pharmacist dispensed either clarithromycin or matching placebo tablets. Hence, the participants and personnel were not aware of allocation of drugs.
Blinding of outcome assessment (detection bias)
All outcomes Low risk Data on clinical outcomes and cardiovascular events were collected by the research physician by telephone interview of each patient at 6 and 12 months after cardiac surgery and by interview of the general practitioner at the end of the 2 years follow‐up. As the research physician was unaware of treatment allocation, the research physician was also unaware of which group the event happened.
Incomplete outcome data (attrition bias)
All outcomes Low risk No patient was lost to follow‐up.
Selective reporting (reporting bias) Unclear risk No protocol was published and the trial was not registered. Moreover, the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

CLARICOR 2006.

Study characteristics
Methods Randomised clinical trial at five sites in Denmark between October 1999 and April 2000.
Treatment time: 2 weeks.
Length of follow‐up: 31.2 and 120 months.
Participants 4373 participants, aged 18 to 85 years, with stable coronary heart disease were included if they had a history of myocardial infarction, angina, percutaneous transluminal coronary angioplasty, or coronary bypass surgery.
Male:female = 3033:1340.
Mean age = 65.3 years.
Exclusion criteria: myocardial infarction or unstable angina within the previous three months; percutaneous transluminal coronary angioplasty or coronary bypass surgery within the previous six months; New York Heart Association class IV cardiac failure; impaired renal or hepatic function; active malignancy; intolerance to macrolides; treatment with methylxanthines, carbamazepine, cisapride, astemizole, terfenadine, or coumarin anticoagulants; participation in other clinical trials within the previous month; incapacity to manage own affairs or sign informed consent; breast feeding; and possible pregnancy.
Interventions Experimental group: oral clarithromycin (500 mg) once daily for 2 weeks (n = 2172).
Control group: placebo (n = 2201).
Co‐intervention: aspirin, beta blockers, calcium channel antagonists, ACE inhibitors, long acting nitrates, diuretics, digoxin, statins, and antiarrhythmics.
Outcomes A composite of all‐cause mortality, myocardial infarction, or unstable angina; a composite of cardiovascular mortality, myocardial infarction, or unstable angina; a composite of cardiovascular mortality, myocardial infarction, unstable angina, cerebrovascular attack, or peripheral vascular disease.
Notes The trialists were contacted on per.winkel@ctu.dk, Christian.gluud@ctu.dk, and cmj@novonordisk.com the 23. July 2017 and replied the 24. July 2017.
This work was supported by grants from non‐profit funds (Danish Heart Foundation, Copenhagen Hospital Corporation, Danish Research Council, 1991 Pharmacy Foundation). Abbott Laboratories supplied the clarithromycin and placebo tablets, but had no role in design, data collection, data analyses, data interpretation, or writing the report.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk A computer with a telephone voice response randomisation system. Central randomisation.
Allocation concealment (selection bias) Low risk A computer with a telephone voice response randomisation system. Central allocation.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Eligible patients were randomly assigned to receive oral clarithromycin 500 mg once daily (Klacid Uno) for two weeks or matching placebo. All randomised patients received a numbered tablet container.
Blinding of outcome assessment (detection bias)
All outcomes Low risk During the study period, all death certificates, emergency room reports and hospital files will be collected by the coordinating centre and forwarded to the endpoint committee. The outcome will be followed by an independent data monitoring and safety committee.
Incomplete outcome data (attrition bias)
All outcomes Low risk At maximum follow‐up, 27 participants (0.62%) were lost to follow‐up (11 in the antibiotics group and 16 in the control group). At 24±6 months follow‐up, 11 participants (0.25%) was lost to follow‐up (8 in the antibiotics group and 3 in the control group) in the placebo group.
Selective reporting (reporting bias) Low risk The trial was pre‐registered on clinicaltrials.gov (NCT00121550) and a protocol was pre‐published in 2001. All outcomes analysed in the main paper was predefined in the pre‐registration and in the protocol.
Other bias Low risk No other bias were found.

CLARIFY 2002.

Study characteristics
Methods Randomised clinical trial at nine sites in Finland between September 1998 and December 2000.
Treatment time: 85 days.
Length of follow‐up: 18.5 months.
Participants 148 participants, aged 18 to 80 years, who entered the hospital with prolonged chest pain together with clearly documented ST‐T‐wave changes indicating either unstable angina or non–Q‐wave myocardial infarction were eligible for the study. Patients must have had an episode of angina within the 48 hours preceding randomisation and presented with at least 1 of the following clinical entities of anginal pain: (1) accelerating pattern, (2) prolonged (>20 minutes) pain with minimal effort, of (3) pain with minimal exertion (>20 minutes) occurring >48 hours after an acute Q‐wave myocardial infarction. Patients also had to have ECG evidence of myocardial ischaemia: (1) new, persistent, or transient ST‐segment depression >0.1 mV (0.08 seconds after the J‐point) in at least 2 extremity leads or 3 precordial leads; (2) transient (<20 minutes) ST‐segment elevation >0.1 mV in at least 2 extremity leads or 3 precordial leads; or (3) new or transient T‐wave inversion >0.3 mV in at least 3 extremity leads or 3 precordial leads (excluding V1). Patients who met the anginal pain inclusion criteria but none of the ECG criteria were eligible to enter the trial if their creatine kinase‐MB mass, creatine kinase‐B, troponin‐T, or troponin‐I fraction at the time of enrolment was consistent with the occurrence of myocardial infarction.
Male:female = 100:48.
Mean age = 63.5 years.
Exclusion criteria: thrombolysis within the previous 48 hours; coronary angioplasty within 6 months or CABG within 3 months, or these procedures already planned; angina precipitated by obvious provoking factors (e.g. tachycardia); ST‐T‐segment elevation (>20 minutes); inability to interpret ST‐T‐segment changes on ECG; long QTc (>470 ms); severe renal or hepatic failure; and ongoing antibiotic therapy of any duration.
Interventions Experimental group: clarithromycin (500 mg) once daily for 85 days (n = 74).
Control group: matching placebo for 85 days (n = 74).
Co‐intervention: antianginal medication, which typically consisted of aspirin, beta‐blocker, ACE inhibitors, AT‐II blockers, statins, nitrate, and low‐molecular‐weight heparin. The choice of this medical therapy, if indicated, was left to the discretion of the treating physician.
Outcomes A composite of death, myocardial infarction, or unstable angina during treatment; occurrence of any cardiovascular event during the entire follow‐up period.
Notes The trialists were contacted the 23. July 2017 on juha.sinisalo@hus.fi and replied the 04. January 2018.
This study was supported in part by the Aarno Koskelo Foundation and the Finnish Foundation for Cardiovascular Research. Abbott Laboratories provided the trial medication and partially funded patient visit costs.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomisation lists were based on a table of random numbers.
Allocation concealment (selection bias) Low risk An independent hospital pharmacist assigned patient numbers for each centre and delivered study medication. Moreover, the randomisation codes were sealed in closed envelopes, which could be opened only if considered necessary for the treatment of severe adverse events.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Patients received one 500‐mg clarithromycin tablet or a matching placebo once daily for 85 days.
Blinding of outcome assessment (detection bias)
All outcomes Low risk Two cardiologists examined all patient files to determine whether the cardiovascular events recorded fulfilled criteria of either primary or secondary end points. This was done before the treatment code was opened.
Incomplete outcome data (attrition bias)
All outcomes Low risk All patients alive returned for 3‐month follow‐up visit. Moreover, the hospital records of all patients were available for endpoint analysis.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

Gabriel 2003.

Study characteristics
Methods Randomised clinical trial at one site in Sweden.
Treatment time: 5 days x 2 (two treatment courses 3 weeks apart).
Length of follow‐up: No data were included from the trial.
Participants 38 patients with a history of acute myocardial infarction or angina pectoris and current Chlamydia pneumoniae infection were included.
Male:female = 30:8.
Mean age = 67 years of age.
Exclusion criteria: not mentioned.
Interventions Experimental group: azithromycin, two capsules the first day and then one capsule daily for 4 days. A repeated treatment course was given after 3 weeks (n = 19).
Control group: matching placebo (n = 19).
Co‐intervention: aspirin; beta blocker; nitroglycerin; digoxin; diuretics; ACE inhibitors; statins; calcium blocker.
Outcomes IgA, IgM, IgG levels; PCR tests.
Notes The trialists were contacted on staffan.ahnve@medhs.ki.se and staffan.ahnve@ki.se the 07. February 2018.
This study was supported by grants from Ansgarius Foundation, Karolinska Institutet and the Swedish Medical Research Council.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Drug preparation and randomisation were conducted by the pharmacy. However, it was not described how.
Allocation concealment (selection bias) Unclear risk Drug preparation and randomisation were conducted by the pharmacy. However, it was not described if the pharmacy was independent.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Presumed double‐blind study, where all tablets were identical in appearance.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Low risk 1 patient in the azithromycin group was lost to follow‐up.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality or serious adverse event.
Other bias Low risk No other bias were found.

Gupta 1997.

Study characteristics
Methods Randomised clinical trial at one site in the UK between February 1995 and September 1995.
Treatment time: 3 days (A subgroup of participants received a second 3‐day treatment course 3 months after the first).
Length of follow‐up: 18 months.
Participants 60 male participants who had survived a myocardial infarction and had persistent seropositivity of IgG antibodies at ≥1/64 dilution for chlamydia pneumoniae.
Male:female = only male.
Mean age = 59 years.
Exclusion criteria: chronic bronchitis, those currently taking macrolide antibiotics, and those with MI within the preceding 6 months (to ensure resolution of immune responses caused by infarction). Also excluded were any subjects with serum that cross‐reacted with Chlamydia trachomatis or Chlamydia psittaci antigens.
Interventions Experimental group: azithromycin (500 mg) daily. 28 patients received daily doses for 3 days; 12 patients received daily doses for 6 days (two 3‐days courses 3 months apart) (n = 40).
Control group: placebo (n = 20).
Co‐intervention: none mentioned.
Outcomes First admission to hospital with nonfatal myocardial infarction; unstable angina requiring either intravenous anti‐anginal therapy, coronary angioplasty, or urgent coronary artery bypass surgery; or cardiovascular death.
Notes The trialists were contacted on jcamm@sgul.ac.uk the 23. July 2017, but did not reply. The trialists were again contacted on jcamm@sgul.ac.uk the 07. February 2017.
The study was funded by the British Heart Foundation. Pfizer Ltd (Sandwich, Kent, UK) supplied the azithromycin and placebo tablets.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk The number of participants with incomplete data was not described.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

Hillis 2004.

Study characteristics
Methods Randomised clinical trial at one site in Scotland between July 1999 and April 2000.
Treatment time: 5 days.
Length of follow‐up: no data were included from the trial.
Participants 141 patients who survived an acute coronary syndrome and whose cardiovascular symptoms had been stable for the 3 months before study entry were included.
Male:female = 104:37.
Mean age = 65.5 years.
Exclusion criteria: chronic inflammatory or malignant disease; chronic renal (creatinine level 2‐times the upper limit of normal) or hepatic (aminotransferase level 2‐times the upper limit of normal) impairment; treatment with systemic steroids, other immunosuppressants, or long‐term antibiotic therapy; planned coronary artery bypass grafting; involved in other clinical research trials; or lived outside the Edinburgh postal district.
Interventions Experimental group: azithromycin, 500 mg daily for 5 days (n = 72).
Control group: matching placebo (n = 69).
Co‐intervention: aspirin; statins; beta blocker; ACE inhibitors.
Outcomes Adverse events.
Notes The trialists were contacted on g.hillis@abdn.ac.uk and graham.hillis@uwa.edu.au the 07. February 2018.
Tayzide Pharmaceuticals was involved in the randomisation of the patients.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomsiation was organised by Tayside Pharmaceuticals (Dundee, Scotland, UK). However, it was not described how.
Allocation concealment (selection bias) Unclear risk The Pharmacy Department of the Royal Infirmary of Edinburgh dispensed the medication. However, it was not described if the pharmacist was independent of the trial.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Presumed double‐blind study, where all tablets were identical in appearance.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Low risk 1 patient in the placebo group was lost to follow‐up.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained. Moreover, the trial did not report all‐cause mortality or serious adverse event.
Other bias Low risk No other bias were found.

Hyodo 2004.

Study characteristics
Methods Randomised clinical trial at one site in Japan.
Treatment time: 4 weeks.
Length of follow‐up: No data were included from the trial.
Participants 35 patients with angiographically documented CAD (50% lumen diameter reduction of 1 coronary artery except for the LAD artery) were included.
Male:female = 25:10.
Mean age = 67 years of age.
Exclusion criteria: a course of systemic antibiotics in the preceding 2 months, coronary narrowing in the LAD artery, myocardial infarction
in the LAD region, myocardial infarction in the right coronary artery or left circumflex region in the preceding 6 months, percutaneous coronary intervention in the preceding 6 months, planned coronary intervention or bypass surgery, significant co‐morbid illness, including active malignancy, kidney or liver failure, ongoing drug or alcohol abuse, systemic inflammatory disease, or suspected viral infection in the preceding 2 months.
Interventions Experimental group: azithromycin, 500 mg/day for 3 days and then 500 mg/week for 4 weeks (n = 20).
Control group: placebo (n = 11).
Co‐intervention: nitrates; beta blockers; calcium blockers; aspirin; statins.
Outcomes Biochemical markers; haemodynamic and coronary flow velocity measurements.
Notes The e‐mail could not be obtained for any trialists.
It was unclear how the trial was funded.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation was performed by the hospital pharmacy. However, it was not described how the randomisation code was generated.
Allocation concealment (selection bias) Low risk All investigators were blinded to the randomisation code until after completion of the study.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes High risk 4 patients who were included in the study were lost to follow‐up before randomisation to either groups (11.43%). Hence, we anticipate that 2 patients were lost to follow‐up in either group.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality or serious adverse event.
Other bias Low risk No other bias were found.

Ikeoka 2009.

Study characteristics
Methods Randomised clinical trial at one site in Brazil.
Treatment time: 14 weeks.
Length of follow‐up: 6 months.
Participants 90 participants, older than 18 years, with stable coronary heart disease and considered for coronary stenting in at least one de novo lesion were included.
Male:female = 57:25.
Mean age = 60.5 years.
Exclusion criteria: recent history of unstable angina or myocardial infarction (<2 months); recent (<1 month) or current history of infectious disease demanding antibiotic intake; allergy to clopidogrel or aspirin; current use of immunosuppressant drugs; diabetes (or other endocrine disease); auto‐immune or neoplastic diseases; coronary lesions were not suitable for stenting.
Interventions Experimental group: azithromycin, oral, 1500 mg/week for one week, then 500 mg/week for 12 weeks, and then 1500 mg/week for one week (n = 42).
Control group: matched placebo (n = 40).
Co‐intervention: coronary bare‐metal stent implantation; clopidogrel; aspirin; anti‐inflammatory drugs (corticosteroids or COX2 inhibitors); beta blockers; ACE inhibitors; calcium channel blockers; statins; fibrates; nitrate; thiazide diuretics; other antibiotics; antidepressants; H2 antagonists.
Outcomes Angiographic outcomes; biochemical markers.
Notes The trialists were contacted on dimas.ikeoka@hotmail.com and bcaramel@usp.br the 08. February 2018 and replied the 08. February 2018.
The study was performed without any specific grant support. Pfizer Laboratories provided the medication and placebo for the study.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation list.
Allocation concealment (selection bias) Low risk Identical, numbered capsules according to the randomisation list were used..
Blinding of participants and personnel (performance bias)
All outcomes Low risk Presumed double‐blind study, where all tablets were identical in appearance.
Blinding of outcome assessment (detection bias)
All outcomes Low risk The outcome assessors were not aware of the content of the randomisation list.
Incomplete outcome data (attrition bias)
All outcomes High risk 8 patients (3 in the azithromycin group and 5 in the placebo) were lost to follow‐up (8.9%).
Selective reporting (reporting bias) Unclear risk No protocol was published and the trial was not registered. Moreover, the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

ISAR‐3 2001.

Study characteristics
Methods Randomised clinical trial in Germany.
Treatment time: 28 days.
Length of follow‐up: 12 months.
Participants 1010 participants with successful coronary stent placement within the past 2 hours.
Male:female = 793:217.
Mean age = 64.5 years.
Exclusion criteria: contraindications for roxithromycin, those with indications for antibiotic treatment, and those who did not consent to participate.
Interventions Experimental group: roxithromycin (300 mg) once daily for 28 days (n = 506).
Control group: matching placebo (n = 504).
Co‐intervention: ticlopidine (250 mg) twice daily for 4 weeks, and aspirin (100 mg) twice daily indefinitely. Glycoprotein IIb/IIIa receptor blockade was left to the operator's discretion.
Outcomes Frequency of restenosis (diameter stenosis ≥50%) at follow‐up angiography; the rate of target vessel revascularisation within 1 year of study entry; death from any cause; myocardial infarction.
Notes The trialists were contacted the 23. July 2017 on franz-josef.neumann@universitaets-herzzentrum.de and replied the 24. July 2017.
The work was supported by funds from the Medical Faculty of Technische Universität München. Aventis (Bad Soden, Germany) provided the study medication and funded patient insurance and cost of reagents for titre assays.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated random numbers.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Presumed double‐blind study, where all tablets were identical in appearance.
Blinding of outcome assessment (detection bias)
All outcomes Low risk The colleagues involved in adjudication of the outcome assessment were blinded to the assigned treatment.
Incomplete outcome data (attrition bias)
All outcomes Low risk No patients were lost to follow‐up.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

Jackson 1999.

Study characteristics
Methods Randomised clinical trial at one site in the USA.
Treatment time: 28 days.
Length of follow‐up: no data were included from the trial.
Participants 88 participants, 18‐79 years old; had undergone a successful percutaneous coronary revascularisation procedure; had no documented myocardial infarction within 5 days; electrocardiogram‐documented QT corrected interval of <0.47; no history of allergy to azithromycin, erythromycin or clarithromycin; and no chronic coumadin treatment or treatment with digitalis, quinidine, theophylline or ergot alkaloids were included.
Male:female = 65:23.
Mean age = 57 years.
Exclusion criteria: not mentioned.
Interventions Experimental group: azithromycin, 500 mg on days 1 and 2, then 250 mg on days 3 to 28 (n = 44).
Control group: placebo (n = 44).
Co‐intervention: not mentioned.
Outcomes Adverse events.
Notes The trialists were contacted on jackson.l@ghc.org the 08. February 2018.
The funding of the trial was not stated. Pfizer provided the azithromycin and placebo tablets.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk The number of participants with incomplete data was not described.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

Kaehler 2005.

Study characteristics
Methods Randomised clinical trial in Germany between January 1999 and December 2000.
Treatment time: 6 weeks.
Length of follow‐up: 12 months.
Participants 327 patients, over the age of 18 years, undergoing percutaneous coronary angioplasty (indications were acute coronary syndrome or stable angina) were included.
Male:female = 267:60.
Mean age = 62.5 years of age.
Exclusion criteria: women with childbearing potential; acute MI within 6 weeks before intervention, defined as chest pain consistent with myocardial ischaemia lasting for at least 5 minutes occurring at rest and an elevation of troponin I or T with total creatine kinase 2 or more times the upper limit of normal. Further exclusion criteria were recanalisation of chronic total occlusions, malignancies, contraindications to roxithromycin, and a current indication for antibiotic treatment and diabetes requiring any medication.
Interventions Experimental group: roxithromycin, 300 mg/day for six weeks. The tablets were received within six hours after PCI (n = 165).
Control group: placebo (n = 162).
Co‐intervention: percutaneous coronary intervention; glycoprotein IIb/IIIa inhibitor, aspirin; ticlopidine or clopidogrel.
Outcomes Symptomatic restenosis; cardiovascular death; resuscitation for cardiac arrest; nonfatal MI; stroke; unstable angina.
Notes The trialists were contacted on wolfram.terres@akh‐celle.de the 08. February 2018.
Aventis Pharma GmbH, Germany, supported the trial financially without interfering with the design of the trial, analysis, or interpretation of the data.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Low risk No patient was lost to follow‐up.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

Kim 2004.

Study characteristics
Methods Randomised clinical trial at one site in Korea.
Treatment time: 17 days.
Length of follow‐up: 12 months.
Participants 140 participants; 18‐80 years old; with acute coronary syndrome who underwent percutaneous coronary intervention were included.
Male:female = 88:41 (data from 129 patients).
Mean age = 59.8 years (data from 129 patients).
Exclusion criteria: coronary revascularisation or coronary artery bypass grafting within 6 months; left ventricular function less than 30%; New York Heart Association functional classes III and IV; acute myocardial infarction within 24 hours; infectious disease; antibiotic use; hepatic failure; renal failure; malignant tumours.
Interventions Experimental group: azithromycin, 500 mg daily for 3 days before and after PCI, followed by 500 mg/week for 2 weeks (n = 70).
Control group: placebo (n = 70).
Co‐intervention: aspirin, nitrate, beta‐blocker, statin, heparin, ticlopidine/clopidogrel.
Outcomes Cardiac death; recurrent myocardial infarction; target lesion revascularisation; non‐target lesion revascularisation.
Notes The trialists were contacted on myungho@chollian.net the 08. February 2018.
It was unclear how the trial was funded.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes High risk 14 participants (8 in the azithromycin group and 6 in the placebo group) were lost to follow‐up (10%).
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

Kim 2012.

Study characteristics
Methods Randomised clinical trial at one site in Korea between September 2004 and January 2006.
Treatment time: 21 days.
Length of follow‐up: 6 months.
Participants 75 participants with typical angina pectoris or documented myocardial ischaemia and significant coronary artery stenosis (>50% luminal narrowing on coronary angiogram) with a reference vessel diameter approximately 2.75 mm to 4.25 mm and a lesion length <28 mm were included.
Male:female = 36:14 (of the included 50 participants).
Mean age = 60 years (of the included 50 participants).
Exclusion criteria: chronic inflammatory disease; autoimmune disease; acute or chronic infection; severe congestive heart failure (NYHA >II); LVEF <30%; haemodynamic instability; clinically significant haemorrhagic episode; warfarin use, hepatic dysfunction (SGOT, SGPT, bilirubin twice the upper normal limit); active peptic ulcer disease; contraindications to or history of allergy to aspirin, clopidogrel, or celecoxib; expected survival of less than 2 years because of medical conditions; pregnancy or desire to become pregnant; chronic total occlusion; saphenous vein graft lesion; overlapped stenting; already using any COX‐2 inhibitors or any NSAID.
Interventions Three randomised groups of which two were included in this review.
Experimental group: doxycycline 20 mg orally twice daily for three weeks after coronary stenting (n = 25).
Control group: no intervention (n = 25).
Co‐intervention: PCI with a bare metal stent, celecoxib, aspirin, clopidogrel, and heparin.
Outcomes Major cardiac adverse events; development of angina; measurements by coronary angiography and intravascular ultrasound such as neointimal volume obstruction; inflammatory biomarkers.
Notes The trialists were contacted on ygko@yuhs.ac the 25. December 2019.
The trial was funded by the Healthcare Technology R&D Project, Ministry for Healt, Welfare, & Family Affairs, Republic of Korea (no A085012 and A102064), by a grant from the Korea Health 21 R&D Project, Ministry of Health & Welfare, Republic of Korea (no A085136), and by the Cardiovascular Research Center, Seoul, Korea.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described
Blinding of participants and personnel (performance bias)
All outcomes High risk Open‐label.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk It was not described if any participants were lost to follow‐up.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse events.
Other bias Low risk No other bias were found.

Kormi 2014.

Study characteristics
Methods Randomised clinical trial at one site in Finland.
Treatment time: 4 months.
Length of follow‐up: no data were included from the trial.
Participants 31 participants who had previous coronary bypass surgery were included.
Male:female = only men.
Mean age = 58 years.
Exclusion criteria: diabetes; impaired glucose intolerance; smoking; heart failure; neoplasm; chronic infectious or inflammatory systemic disease; recent (6 weeks) infection with general symptoms or need of antimicrobial drugs; antacids; body mass index >32 or hypolipidaemic medication; known hypersensitivity to doxycycline.
Interventions Experimental group: doxycycline, oral, 100 mg/day for 4 months (n = 16).
Control group: placebo (n = 15).
Co‐intervention: none mentioned.
Outcomes Biochemical markers.
Notes The trialists were contacted on hatem.alfakry@helsinki.fi, juha.sinisalo@hus.fi, and pirkko.pussinen@helsinki.fi the 08. February 2018.
The trial was supported by grants from the Ministry of Higher Education/Libya, the Sigrid Juselius Foundation, the Academy of Finland, and the Helsinki Unversity Central Hospital Foundation.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk It was not described if any participants were lost to follow‐up.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality or serious adverse event.
Other bias Low risk No other bias were found.

Kuvin 2003.

Study characteristics
Methods Randomised clinical trial at 2 sites in the USA.
Treatment time: 3 months and 14 days, or 3 months and 3 days (see below in 'Intervention').
Length of follow‐up: no data were included from the trial.
Participants 58 patients with coronary artery disease.
Male:female = 49:9.
Mean age = 58.8 years of age.
Exclusion criteria: unstable angina or myocardial infarction within 1 week; uncontrolled hypertension; clinically significant valvular heart disease; congestive heart failure; or any other condition that would preclude safely withholding vasoactive medications; antibiotic treatment within the prior 3 months; or an active systemic illness requiring antibiotic therapy.
Interventions Experimental group: azithromycin, 600 mg/day for 14 days or 600 mg/day for 3 days and then 600 mg/week for 3 months (n = 30).
Control group: placebo (n = 28).
Co‐intervention: not mentioned.
Outcomes Peripheral vascular endothelial function.
Notes The trialists were contacted on jeffrey.t.kuvin@hitchcock.org the 08. February 2018.
This study was supported by a Specialized Center of Research in Ischemic Heart Disease grant (HL55993) from the NIH, Bethesda, Maryland; the General Clinical Research Center, Boston Medical Center (M01RR00533), Boston, Massachusetts; and by grants PO1HL60886 and HL52936 from NIH, Bethesda, Maryland. Pfizer, Inc. provided the medication.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk The number of participants with incomplete data was not described.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality or all serious adverse event.
Other bias Low risk No other bias were found.

Leowattana 2001.

Study characteristics
Methods Randomised clinical trial in Thailand between October 1998 and September 2000.
Treatment time: 30 days.
Length of follow‐up: 3 months.
Participants 84 participants with age between 40 and 75 years; evidence of acute coronary syndrome (Q‐wave myocardial infarction (MI), non‐Q‐wave myocardial infarction and unstable angina).
Male:female = 53:31.
Mean age = 61.7 years.
Exclusion criteria: left‐bundle‐branch block, hepatic failure, renal failure, congestive heart failure, and contraindication to macrolide therapy.
Interventions Experimental group: roxithromycin (150 mg) twice daily for 30 days.
Control group: matching placebo for 30 days
Co‐intervention: none mentioned.
Outcomes Cardiovascular death; unplanned revascularisation; recurrent angina/MI; severe recurrent ischaemia.
Notes The trialists were contacted the 23. July 2017 on wattana.leo@mahidol.ac.th, but did not reply. The trialists were contacted the 09. February 2018 on wattana.leo@mahidol.ac.th and replied the 15. February 2018.
This study was supported by a grant from Siriraj Grant. Hoechst Marion Roussel, Thailand, supplied the roxithromycin and placebo tablets.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated list.
Allocation concealment (selection bias) Low risk A set of sealed envelopes containing patient codes and study treatment was prepared and stored in a secure place.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk The number of participants with incomplete data was not described.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

MIDAS 2003.

Study characteristics
Methods Randomised clinical trial at one site in USA between August 2000 and January 2002.
Treatment time: 6 months.
Length of follow‐up: 6 months.
Participants 50 patients, >21 years, who had an episode of prolonged angina or its equivalent (> 20 minutes) or repetitive episodes of angina or its equivalent (at least 2 episodes of >10 minutes) at rest or during minimal exercise in the previous 24 hours, and biochemical evidence of myonecrosis, electrocardiographic evidence of ischaemia, or previously documented coronary artery disease were included.
Male:female = 23:27.
Mean age = 63.5 years.
Exclusion criteria: tetracycline use within the previous 2 weeks, allergy to tetracycline, pregnancy or desire to become pregnant, significant co‐morbid cerebral, hepatic, pulmonary, or renal disease, inflammatory disorders including infections and collagen vascular diseases, previous coronary bypass surgery, or a life expectancy of < 2 years.
Interventions Experimental group: doxycycline (20 mg) orally twice daily for 6 months (n = 26).
Control group: matching placebo (n = 24).
Co‐interventions: additional medications or interventions were administered at the discretion of the attending physician (e.g. aspirin and statins).
Outcomes Composite endpoint of sudden death, fatal myocardial infarction, non‐fatal myocardial infarction, or troponin‐positive unstable angina.
Notes The trialists were contacted on dbrown@wustl.edu the 24. July 2017, but did not reply. The trialists were again contacted on d.brown@wustl.edu and lorne.golub@stonybrookmedicine.edu the 09. February 2018 and answered the 09. February 2018.
The trial was funded internally by the Albert Einstein College of Medicine, Beth Israel Medical Center, and State University of New York.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Low risk Sealed opaque envelopes were used by a research pharmacist who then dispensed active drug as a tablet or identical glucose‐containing placebo and was not involved in the patient’s subsequent care.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Presumed double‐blind and using matching placebo.
Blinding of outcome assessment (detection bias)
All outcomes Low risk The outcome assessment was performed by co‐investigators without knowledge of treatment assignment.
Incomplete outcome data (attrition bias)
All outcomes Low risk No patients dropped out for six‐month clinical follow‐up.
Selective reporting (reporting bias) Unclear risk No protocol or registration was performed. Moreover, the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

Parchure 2002.

Study characteristics
Methods Randomised clinical trial at one site in the UK.
Treatment time: 5 weeks.
Length of follow‐up: no data were included from the trial.
Participants 40 male patients with documented coronary artery disease (>50% lumen diameter reduction of at least one coronary artery) and positive CPn‐IgG antibody titres (>1:16).
Male:female = all male.
Mean age = 55 years.
Exclusion criteria: history of hypersensitivity to macrolides, a course of systemic antibiotics in the preceding 2 months, a myocardial infarction (<3 months), and bypass surgery or other coronary intervention. Patients were also excluded if they had planned bypass surgery or percutaneous coronary intervention, significant comorbid illnesses, including active malignancy, kidney or liver failure, ongoing drug or alcohol abuse, systemic inflammatory disease, suspected viral infection in the preceding 2 months, or heart failure.
Interventions Experimental group: azithromycin (250 mg) twice daily for 3 days and then maintain therapy with 2 capsules weekly – to be taken every Sunday – for 4 weeks. Overall 5 weeks (n = 20).
Control group: matching placebo, instructions like above, for 5 weeks (n = 20).
Co‐intervention: sublingual glyceral trinitrate (GTN) was allowed for the relief of chest pain; nitrate; beta blockers; calcium antagonists; aspirin; lipid‐lowering drugs.
Outcomes Flow‐mediated dilation (FMD) of the brachial artery and E‐selectin, von Willebrand factor, and C‐reactive protein (CRP) levels.
Notes The trialists were contacted on jkaski@sgul.ac.uk the 24. July 2017, but did not reply. The trialists were again contacted on jkaski@sgul.ac.uk the 09. February 2018.
The study was supported by a grant from the British Heart Foundation.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Presumed double‐blind and using matching placebo.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk The number of participants with incomplete data was not described.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality and serious adverse event.
Other bias Low risk No other bias were found.

Pieniazek 2001.

Study characteristics
Methods Randomised clinical trial in Poland.
Treatment time: 3 months.
Length of follow‐up: no data were included from the trial.
Participants 45 participants with coronary artery disease who were treated with coronary angioplasty and had IgG >30 and IgA >8 were included.
Male:female = not mentioned.
Mean age = not mentioned.
Exclusion criteria: not mentioned.
Interventions Experimental group: azithromycin for 3 months (n = not mentioned).
Control group: placebo (n = not mentioned).
Co‐intervention: none mentioned.
Outcomes All‐cause mortality; myocardial infarction; re‐intervention; CCS score; exercise test results; biochemical markers.
Notes Only an abstract was found. The trialists were contacted the 16. January 2018 on kardio@kki.krakow.pl and piotr.odrowaz‐pieniazek@uj.edu.pl.
The funding of the trial was not described.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk The number of participants with incomplete data was not described.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality and serious adverse event.
Other bias Unclear risk There were insufficient information to assess whether an important risk of bias exists.

PROVE‐IT 2005.

Study characteristics
Methods Randomised clinical trial, 2x2 factorial, at 349 sites in Australia, Canada, France, Germany, Italy, Spain, the UK, and the USA between November 2000 and December 2001.
Treatment time: 24 months.
Length of follow‐up: 24 months.
Participants 4162 participants, at least 18 years old; had been hospitalised for an acute coronary syndrome — either acute myocardial infarction (with or without electrocardiographic evidence of ST‐segment elevation) or high risk unstable angina — in the preceding 10 days; in stable condition; planned percutaneous revascularisation procedure; total cholesterol level of 240 mg per decilitre (6.21 mmol per litre) or less, measured at the local hospital within the first 24 hours after the onset of the acute coronary syndrome or up to six months earlier if no sample had been obtained during the first 24 hours; if receiving long term lipid‐lowering therapy at the time of their index acute coronary syndrome, total cholesterol level had to be 200 mg per decilitre (5.18 mmol per litre) or less at the time of screening in the local hospital were included.
Male:female = 3251:911.
Mean age = 58.2 years.
Exclusion criteria: coexisting condition that shortened expected survival to less than two years, receiving therapy with any statin at a dose of 80 mg per day at the time of their index event or lipid‐lowering therapy with fibric acid derivatives or niacin that could not be discontinued before randomisation, had received drugs that are strong inhibitors of cytochrome P‐450 3A4 within the month before randomisation or were likely to require such treatment during the study period (because atorvastatin is metabolized by this pathway), had undergone percutaneous coronary intervention within the previous six months (other than for the qualifying event) or coronary‐artery bypass surgery within the previous two months or were scheduled to undergo bypass surgery in response to the index event, had factors that might prolong the QT interval, had obstructive hepatobiliary disease or other serious hepatic disease, had an unexplained elevation in the creatine kinase level that was more than three times the upper limit of normal and that was not related to myocardial infarction, or had a creatinine level of more than 2.0 mg per decilitre (176.8 µmol per litre).
Interventions Experimental group: gatifloxacin (400 mg) with an initial 2‐week course, followed by a 10‐day course every month for the duration of the trial (n = 2076).
Control group: matching placebo (n = 2086).
Co‐intervention: standard medical and interventional treatment, including aspirin (75mg to 325 mg daily), with or without clopidogrel or warfarin. The trial had a 2x2 factorial design, where eligible patients were randomised to 40 mg pravastatin or 80 mg of atorvastatin. A test for interaction was carried out, and no interaction was found between antibiotics and statins.
Outcomes Death from all causes, myocardial infarction, documented unstable angina that required rehospitalization, revascularization with either percutaneous coronary intervention or coronary‐artery bypass surgery (if these procedures were performed at least 30 days after randomisation), or stroke (first event); the risk of death from coronary heart disease, nonfatal myocardial infarction, or revascularisation (if performed at least 30 days after randomisation); the risk of death from coronary heart disease or of nonfatal myocardial infarction; and the individual components of the primary endpoint.
Notes The trialists were contacted on christopher.cannon@hcri.harvard.edu the 24. July 2017 and answered the 28. July 2017.
Supported by Bristol‐Myers Squibb and Sankyo.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Low risk Central allocation.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Presumed double‐blind study, where all tablets were identical in appearance.
Blinding of outcome assessment (detection bias)
All outcomes Low risk The outcome assessment was done by a blinded events committee.
Incomplete outcome data (attrition bias)
All outcomes Low risk Eight patients (three in the gatifloxacin group and five in the placebo group) were lost to follow‐up.
Selective reporting (reporting bias) Low risk A protocol could be obtained and the outcomes called for in the protocol are reported on.
Other bias Low risk No other bias were found.

Radoi 2003.

Study characteristics
Methods Randomised clinical trial at one site in Romania between 01. February 1998 to 31. July 1998.
Treatment time: 12 days or 24 days (see below in 'Interventions').
Length of follow‐up: 52 months.
Participants 109 participants, aged 18 to 80 years, with unstable angina defined as angina at rest lasting at least 10 minutes and occurring in the 48 hours preceding hospital admission (Braunwald class IIIB) associated with transient ST‐segment depression and/or T‐wave inversion and with normal serum levels of CK‐MB were included.
Male:female = 62:47.
Mean age = 59.9 years.
Exclusion criteria: systematic inflammatory condition, underlying neoplastic disorder, and advanced renal failure. Requiring antibiotics for other reasons during the treatment period.
Interventions Experimental group: spiramycin, 12 days, 4.5 MUI IV/day, or spiramycin, 12 days, 4.5 MUI IV/day followed by 6 MUI/day per os for another 12 days.
Control group: no treatment beside the co‐interventions.
Co‐intervention: aspirin (250 mg/day); enoxaparin (1 mg/kg) every 12 hours for 14 days; nitroglycerin (10 to 60 mcg/kg IV infusion for 24‐48 hours, followed by chronic anti‐ischaemic medication (metoprolol, diltiazem).
Outcomes Incidence of major cardiovascular events; cumulated endpoint rate comprising of cardiovascular death, non‐fatal myocardial infarction, unstable angina with readmission; incidence of recurrent stable angina; and the incidence of increased serum levels of C‐reactive protein and fibrinogen.
Notes The trialists were contacted the 24. July 2017 on mradoi@unitbv.ro, but did not reply. The trialists were again contacted the 09. February 2018.
It was unclear how the trial was funded.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Low risk No participant was lost to follow‐up.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse event
Other bias Low risk No other bias were found.

ROXIS 1997.

Study characteristics
Methods Randomised clinical trial at eight sites in Argentina between May 1996 to March 1997.
Treatment time: 30 days.
Length of follow‐up: 6 months.
Participants 202 participants, >21 years, with unstable angina or non‐Q‐wave myocardial infarction; episode of angina at rest lasting at least 10 minutes in the previous 48 hours before randomisation; evidence of ischaemic heart disease on ECG: ST segment depression, transient ST‐elevation (<15 minutes) of ≥0.1mV, or T‐wave inversions, in at least two contiguous leads; cardiac enzyme elevation (total creatinine kinase [CK] above upper limit of normal or CK to isoenzyme MB >3% of total CK); history of myocardial infarction, percutaneous transluminal coronary angioplasty, or coronary artery bypass surgery; and history of coronary angiography showing ≥70% arterial lumen narrowing in any coronary artery were included.
Male:female = 149:53.
Mean age = 61 years.
Exclusion criteria: evidence of evolving Q‐wave myocardial infarction; left‐bundle‐branch block; hepatic or renal failure; congestive heart failure or contraindications to macrolide therapy, including treatment with drugs known to interact with macrolides.
Interventions Experimental group: roxithromycin (150 mg) orally twice daily for 30 days (n = 102).
Control group: matching placebo twice daily for 30 days (n = 100).
Co‐intervention: 100 mg to 325 mg aspirin daily; intravenous nitroglycerin; unfractionated heparin (with the dose adjusted to give an activated partial thromboplastin time of 1.92.5 ties baseline) for a minimum of 72 hours and a maximum of 8 days; beta‐blockers or calcium channel blockers were administered when appropriate.
Outcomes Death and acute myocardial infarction; death, acute myocardial infarction, and recurrent ischaemia; serological response; inflammatory response.
Notes The main investigator, Enrique Gurfinkel, has died. The e‐mail could not be obtained for any of the other trialists.
Hoechst Marion Roussel, Argentina, supplied the roxithromycin and placebo tablets; and the Favaloro Foundation funded the trial.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated list.
Allocation concealment (selection bias) Low risk A set of sealed envelopes containing patient codes and study treatment was prepared and stored in a secure place. None of the envelopes were to be opened unless a serious side‐effect, suspected to be drug related, developed in any of the patients.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Presumed double‐blind and using matching placebo.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes High risk 14 patients were lost to follow‐up (7%). The number in each group is not presented. We pragmatically anticipate that seven patients were lost to follow‐up in either group.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

Sanati 2019.

Study characteristics
Methods Randomised clinical trial at one site in India between 2015 and 2016.
Treatment time: seven days.
Length of follow‐up: 40 days follow‐up.
Participants 68 participants with anterior STEMI, primary PCI performed on the left anterior descending artery, and a left ventricular ejection fraction >30% were included.
Male:female = 45:15 (only of 60 participants).
Mean age = 54.9 years.
Exclusion criteria: previous myocardial infarction, cardiogenic shock, liver and renal diseases, doxycycline sensitivity, and poor echocardiographic views.
Interventions Experimental group: doxycycline 100 mg orally twice daily for seven days (n = 34).
Control group: placebo (n = 34).
Co‐intervention: none mentioned.
Outcomes Left ventricular ejection fraction and other echocardiographic measurements.
Notes The trialists were contacted on alizadeasl@gmail.com the 25. December 2019.
It was unclear how the trial was funded.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk The authors mention: quote: "This was a balanced block randomized clinical trial (by 4 blocks)". Nevertheless, it was not described how the random sequence was generated.
Allocation concealment (selection bias) Unclear risk The authors mention: quote: ""This was a balanced block randomized clinical trial (by 4 blocks)". Nevertheless, it was not describe how the allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes Low risk The authors mention: quote: ""Neither the doctors nor the patients were aware of the group classification." Hence, it must be presumed that both participants and personnel were blinded.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk It is not mentioned who assessed the outcomes and if the person was blinded.
Incomplete outcome data (attrition bias)
All outcomes High risk Eight participants (11.8%) were lost to follow‐up (four in the experimental group and four in the control group).
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality or serious adverse events.
Other bias Low risk No other bias were found.

Schulze 2013.

Study characteristics
Methods Randomised clinical trial at one site in Canada between December 2005 and May 2008.
Treatment time: 5 days.
Length of follow‐up: no data were included from the trial.
Participants 42 participants, between 18 and 80 years old, with coronary artery disease undergoing coronary artery bypass surgery with cardiopulmonary bypass was included.
Male:female = 33:9.
Mean age = 63.9 years.
Exclusion criteria: females of childbearing potential; patients with emergency coronary artery bypass grafting; previous sternotomy; planned simultaneous surgery (valve repair or carotid endarterectomy); myocardial infarction within 48 hours; preoperative atrial fibrillation; preoperative ventricular pacing; known hypersensitivity to tetracycline antibiotics.
Interventions Experimental group: doxycycline, oral, 40 mg/day for 5 days (n = 20).
Control group: matching placebo (n = 22).
Co‐intervention: coronary artery bypass surgery.
Outcomes Biochemical markers; left ventricular stroke work index.
Notes The trialists were contacted the 09. February 2018 on richard.schulz@ualberta.ca.
The trial was supported by grants from the University of Alberta Hospitals Foundation and the Canadian Institues of Health Research. Trainee awards were provided by the Alberta Heritage Foundation for Medical Research and by the Heart & Stroke Foundation of Canada.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Presumed double‐blind study, where all tablets were identical in appearance.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Low risk No patient was lost to follow‐up.
Selective reporting (reporting bias) Low risk The trial was pre‐registered on clinicaltrials.gov (NCT00246740). All outcomes analysed in the main paper was predefined in the pre‐registration.
Other bias Low risk No other bias was found.

Semaan 2000.

Study characteristics
Methods Randomised clinical trial at one site in the USA.
Treatment time: 3 months.
Length of follow‐up: no data were included from the trial.
Participants 40 participants, older than 18 years, with documented previous acute myocardial infarction, or angiographically documented evidence of coronary artery disease (>50% stenosis of one or more major coronary artery: left main, left anterior descending, left circumflex, or right coronary artery) and positive Chlamydia pneumoniae antibody igG litre (>1:16 by MIF) were included.
Male:female = 37:3.
Mean age = 62.6 years.
Exclusion criteria: acute myocardial infarction within 5 days, bypass surgery within 4 weeks, angioplasty within 3 months, New York Heart Association class III or IV congestive heart failure, left ventricular ejection fraction < 25%, other significant comorbid illnesses including active malignancy, ongoing drug or alcohol abuse, renal failure requiring dialysis, liver failure, known intolerance to azithromycin, prolonged macrolide use, and possible pregnancy were not eligible.
Interventions Experimental group: azithromycin, 500 mg/day for 3 days and then twice weekly for 3 months.
Control group: matching placebo.
Co‐intervention: cardiac and noncardiac drugs were allowed.
Outcomes Biochemical markers.
Notes The trialists were contacted the 09. February on paul.gurbel@inova.org.
It was unclear how the trial was funded.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Information was kept from the clinically active personnel and the patients until the study was completed. Moreover, presumed double‐blind and using matching placebo.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk The number of participants with incomplete data was not described.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse event
Other bias Low risk No other bias were found.

Sinisalo 1998.

Study characteristics
Methods Randomised clinical trial at one site in Finland.
Treatment time: 4 months.
Length of follow‐up: no data were included from the trial.
Participants 34 patients, 65 years or less, with coronary heart disease verified by angiography and severe enough to have indicated coronary bypass operation.
Male:female = 34:0.
Mean age = 57.9 years of age.
Exclusion criteria: smoking, diabetes, impaired glucose tolerance, inflammatory systemic diseases, recent infection with general symptoms or a need for an antibiotic, significant overweight, or hypolipidaemic medication, known sensitivity to doxycycline, had required long‐term tetracycline, fluoroquinolone, or macrolide antibiotic therapy in the past or required ongoing therapy with antacids containing aluminium, calcium, or magnesium.
Interventions Experimental group: doxycycline, 100 mg/day for 4 months (n = 17).
Control group: matching placebo (n = 17).
Co‐intervention: aspirin; beta blocker; nitrates.
Outcomes Serological markers of C. pneumoniae; haemostatic parameters of coronary heart disease.
Notes The trialists were contacted on juha.sinisalo@hus.fi the 09. February 2018.
Supported by the Paavo Ilmari Ahvanainen Foundation, Pharmacal Research Foundation, Finnish‐Norwegian Medical Foundation, Research Fund of Suomen Astra Oy, and the Ida Montin Foundation. Orion Pharma provided the tablets.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Presumed double‐blind and using matching placebo.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Low risk 1 patient in the placebo group was lost to follow‐up (2.94%).
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality or serious adverse event.
Other bias Low risk No other bias were found.

Stojanovic 2011.

Study characteristics
Methods Randomised clinical trial at one site in Serbia.
Treatment time: 10 days.
Length of follow‐up: no data were included from the trial.
Participants X number of patients with acute coronary syndrome were included.
Male:female = not mentioned.
Mean age = not mentioned.
Exclusion criteria: not mentioned.
Interventions Experimental group: ciprofloxacin, 1000 mg/day for 10 days.
Control group: no intervention.
Co‐intervention: not mentioned.
Outcomes Inflammatory markers; cardiovascular adverse events
Notes Unknown number of patients included. The e‐mail could not be obtained for any trialists.
It was unclear how the trial was funded.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk It was not described if any participant was lost to follow‐up
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality or serious adverse event.
Other bias Unclear risk There were insufficient information to assess whether an important risk of bias exists.

Thomaidou 2017.

Study characteristics
Methods Randomised clinical trial at one site in Greece.
Treatment time: 1‐2 days.
Length of follow‐up: 3 months.
Participants 44 number of patients assigned for coronary artery bypass grafting were included.
Male:female = 37:3 (only of 40 participants).
Mean age = 64.6 years.
Exclusion criteria: previous psychiatric illness, inability to undergo a proper neuropsychological assessment (i.e., due to language difficulties or poor educational status), history of stroke, carotid artery stenosis greater than 60% (assessed by Doppler ultrasonography preoperatively), and renal
failure requiring dialysis.
Interventions Experimental group: erythromycin 25 mg/kg both 12 hours before and after surgery (n = 21).
Control group: placebo (n = 23).
Co‐intervention: CABG.
Outcomes Postoperative cognitive decline; levels of inflammatory markers IL‐1, IL‐6, and tau; number of cerebral DE intraoperatively; postoperative delirium; postoperative length of mechanical ventilation longer than 24 hours; length of intensive care unit stay; and length of hospital stay.
Notes The trialists were contacted on evathom1975@yahoo.gr the 17. February 2020.
It was unclear how the trial was funded.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Low risk The authors mention: quote: "Patients and neuropsychologists were blinded to the allocation group."
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes High risk 4 participants were lost to follow‐up (2 in each group) (9.1%).
Selective reporting (reporting bias) Low risk The trial was preregistered (NCT01274754). All outcomes analysed in the main paper was predefined in the pre‐registration.
Other bias Low risk No other bias were found.

TIPTOP 2014.

Study characteristics
Methods Randomised clinical trial at one site in Italy between May 2007 and February 2011.
Treatment time: 7 days.
Length of follow‐up: 6 months.
Participants 110 patients, older than 18 years, with acute STEMI and LV ejection fraction (LVEF) <40% were included.
Male:female = 76:34.
Mean age = 69 years of age.
Exclusion criteria: cardiogenic shock, a previous MI or another disease potentially responsible for LV dysfunction or abnormal collagen turnover, life‐limiting non‐cardiac disease, allergy to tetracyclines.
Interventions Experimental group: doxycycline, 100 mg immediately after percutaneous coronary intervention and then 200 mg/day for seven days (n = 55).
Control group: no intervention beside co‐intervention (n = 55).
Co‐intervention: percutaneous coronary intervention, medical therapy for STEMI and LV dysfunction such as aspirin, clopidogrel or prasugrel, statins, beta blocker, ACE inhibitor, loop diuretics.
Outcomes The percentage change from baseline to 6 months (% Δ) in echocardiographic LV end‐diastolic volume index (LVEDVi); infarct size; infarct severity.
Notes The trialists were contacted on giampaolo.cerisano@gmail.com the 09. February 2018 and replied the 10. February 2018.
Careggi Hospital sponsored the trial.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation sequence.
Allocation concealment (selection bias) High risk Treatment allocations were concealed until patients were enrolled. Afterwards, the allocation was not concealed.
Blinding of participants and personnel (performance bias)
All outcomes High risk Open‐label.
Blinding of outcome assessment (detection bias)
All outcomes Low risk The events were analysed by two experts who were unaware of the treatment group assignment.
Incomplete outcome data (attrition bias)
All outcomes Low risk No patient was lost to follow‐up.
Selective reporting (reporting bias) Low risk The trial was pre‐registered on clinicaltrials.gov (NCT00469261). All outcomes analysed in the main paper was predefined in the pre‐registration
Other bias Low risk No other bias were found.

Torgano 1999.

Study characteristics
Methods Randomised clinical trial at one site in Italy between October 1995 and March 1997.
Treatment time: 14 days.
Length of follow‐up: no data were included from the trial.
Participants 97 participants, age between 40 and 75 years, angiographically confirmed ischaemic heart disease with stenosis >70% in 1 or more coronary artery and/or history of previous myocardial infarction (>1 month before enrolment); seropositivity for Helicobacter pylori and/or Chlamydia pneumoniae antibodies; absence of acute inflammatory disease, history of neoplastic disease in the previous 5 years, or history of acquired or congenital coagulation disorders; and absence of Chlamydia pneumoniae acute infection or reinfection were included.
Male:female = 31:53 (data from 84 participants regardless of seropositivity).
Mean age = 62.5 years (data from 84 participants regardless of seropositivity).
Exclusion criteria: not mentioned.
Interventions Experimental group: clarithromycin, 500 mg orally twice a day for 14 days (n = 6).
Control group: no intervention (n = 7).
Co‐intervention: not mentioned.
Outcomes Biochemical markers.
Notes Only a subgroup of the overall participants could be used. This subgroup of participants were Helicobacter pylori‐negative patients with Chlamydia pneumoniae positivity.
The trialists were contacted on giuseppe.torgano@policlinico.mi.it the 09. February 2018.
It was unclear how the trial was funded.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation lists.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes High risk Single‐blind trial.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk It was not described if any participant was lost to follow‐up
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality or serious adverse event.
Other bias Low risk No other bias were found.

Tüter 2007.

Study characteristics
Methods Randomised clinical trial at one site in Turkey.
Treatment time: 6 weeks.
Length of follow‐up: no data were included from the trial.
Participants 36 participants, under the age of 70, with both chronic periodontitis and coronary artery disease were included.
Male:female = 33:3.
Mean age = 53.8 years.
Exclusion criteria: diabetes; current smoking; unstable coronary artery disease; congestive heart failure; ejection fraction < 40%; coronary angiography performed within the last 4 weeks; periodontal treatment during the past 6 months; antibiotic use in the past 3 months.
Interventions Experimental group: doxycycline, oral, 20 mg/d for 6 weeks (n = 16).
Control group: matching placebo (n = 16).
Co‐intervention: scaling and root planing; statins; salicylates.
Outcomes Biochemical markers.
Notes The trialists were contacted on gulay@gazi.edu.tr and lorne.golub@stonybrookmedicine.edu the 09. February 2018.
The trial was supported by the Gazi University Scientific Project and Research Support Foundation. The tablets were provided by Alliance Pharmaceuticals Ltd, who did not participate in the protocol development, analysis of data, or writing of the manuscript. However, one of the authors is a consultant to Collagenex Pharmaceuticals Inc and an inventor on several patents for doxycycline.
The trial did not report data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Presumed double‐blind study, where all tablets were identical in appearance.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Low risk No patient was lost to follow‐up.
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all‐cause mortality or serious adverse event.
Other bias Low risk No other bias were found.

Ütük 2004.

Study characteristics
Methods Randomised clinical trial at one site in Turkey between November 2000 and April 2001.
Treatment time: 14 days.
Length of follow‐up: 6 months.
Participants 113 patients with acute coronary syndrome were included.
Male:female = 55:58.
Mean age = 59.2 years of age.
Exclusion criteria: acute or chronic infections, ongoing antibiotic therapy, severe kidney or liver insufficiency, malignancy, collagen tissue disease, and allergic reaction to macrolide antibiotics.
Interventions Experimental group: clarithromycin, 1 g/day for 14 days (n = 57).
Control group: no intervention beside of co‐intervention (n = 56).
Co‐intervention: thrombolytic therapy; glycoprotein IIb/IIIa receptor blockers; beta blocker; ACE inhibitor; statin; aspirin; heparin; percutaneous coronary intervention.
Outcomes Occurrence of unstable angina; myocardial infarction; revascularisation; cardiac death.
Notes The trialists were contacted on ozanutuk@hotmail.com and bayturanoz@hotmail.com the 09. February 2018.
It was unclear how the trial was funded.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Unclear risk Not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk It was not described if any participant was lost to follow‐up
Selective reporting (reporting bias) Unclear risk No protocol could be obtained and the trial did not report all serious adverse event.
Other bias Low risk No other bias were found.

WIZARD 2003.

Study characteristics
Methods Randomised clinical trial at 271 sites in the USA, Canada, the UK, Germany, France, Spain, Austria, Argentina, and India between October 1997 and July 2001.
Treatment time: 80 days.
Length of follow‐up: 14 months.
Participants 7747 participants, 18 years old or older, with a history of myocardial infarction more than 6 weeks before screening documented by electrocardiogram or by elevation of creatine kinase and have an IgG litre to C. pneumoniae of 1:16 or greater by microimmunofluorescence were included.
Male:female = 6337:1385.
Mean age = 62 years.
Exclusion criteria: have had a coronary artery bypass graft surgery or percutaneous coronary intervention in the preceding 6 months; require chronic antibiotic therapy; received antibiotic therapy in the previous 3 months; women with childbearing potential or not using contraception considered appropriate by the investigator; history of hypersensitivity to macrolides or azithromycin; participation in another investigational trial without the consent of the study monitor.
Interventions Experimental group: azithromycin 600 mg once daily for 3 days then once weekly for the next 11 weeks (n = 3879).
Control group: matching placebo (n = 3868).
Co‐intervention: aspirin, angiotensin‐converting enzyme inhibitor, statins, beta blockers, calcium antagonists.
Outcomes First occurrence of death from any cause, nonfatal reinfarction, coronary revascularisation, or hospitalisation for angina. Components of the primary endpoint were analysed separately; noncoronary atherosclerotic event (stroke, transient ischaemic attack, or intervention for peripheral vascular disease, whichever occurred first); cardiovascular death; hospitalisation for congestive heart failure.
Notes The trialists were contacted the 24. July 2017 on michael.w.dunne@comcast.net, but did not reply. The trialists were again contacted the 09. February 2018 on christopher.oconnor@inova.org, oconn002@mc.duke.edu, mpfeffer@rics.bwh.harvard.edu, and jbrent.muhlestein@imail.org.
The trial is supported and funded by Pfizer and University of Winconsin. Moreover, data management was conducted by Pfizer.
The trial reported data that could be meta‐analysed.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described.
Allocation concealment (selection bias) Low risk Sealed envelopes containing the treatment assignment were provided to each site, to be opened only in case of an emergency. The sponsor monitored the integrity of these envelopes at each monitoring visit.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Patients, investigators, clinical site monitors, and the sponsor project team remained blinded through study completion. Moreover, the trial used matching placebo.
Blinding of outcome assessment (detection bias)
All outcomes Low risk All events that contribute to the primary composite endpoint are adjudicated by an endpoint committee comprised of study investigators to ensure compliance with criteria prespecified in the protocol. This review is done in a blinded fashion.
Incomplete outcome data (attrition bias)
All outcomes Low risk 13 patients were not included in the final analysis in the azithromycin group and 12 were not included in the final analysis in the placebo group. Overall, 0.32% dropped out.
Selective reporting (reporting bias) High risk A protocol could be obtained and the outcomes called for in the protocol are mentioned in the methods section of the final paper. However, the data of cardiovascular mortality and stroke were not reported.
Other bias Low risk No other bias were found.

ACE: Angiotensin‐converting enzyme; CABG: coronary artery bypass graft; CAD: coronary artery disease;CCS: coronary calcium score; CK: creatine kinase;CRP: C‐reactive protein; ECG: electrocardiogram; IgA: Immunoglobulin A; IgM: immunoglobulin M; IV: intravenous;LAD artery: left anterior descending artery; LEVF: LV ejection fraction; MI: myocardial infarction;MIF: migration inhibitory factor NSAID: non‐steroidal anti‐inflammatory; NYHA: New York Heart Association; PCI: coronary intervention; PCR: polymerase chain reaction; STEMI: ST‐elevation myocardial infarction.

Characteristics of excluded studies [ordered by study ID]

Study Reason for exclusion
Barratt‐Boyes 1979 Did not compare antibiotics with placebo or no intervention.
Bondarenko 1977 Not a randomised clinical trial.
Cernigliaro 2010 The experimental drug was not an antibiotic.
Elizalde 2004 The experimental group received additional co‐intervention (omeprazole) which the control group did not receive.
Fong 1979 Antibiotics were given as primary prevention of postoperative infections and not as secondary prevention of coronary heart disease.
Klochkov 2005 Not a randomised clinical trial.
Kowalski 2001 The experimental group received additional co‐intervention (omeprazole) which the control group did not receive.
ORAR II The experimental drug was not an antibiotic.
OSIRIS The experimental drug was not an antibiotic.
Pan 1986 Not a randomised clinical trial.
Song 2018 Did not compare antibiotics with placebo or no intervention.
STAMINA 2002 The experimental group received additional co‐intervention (omeprazole) which the control group did not receive.
Stojkovic 2010 The experimental drug was not an antibiotic.
Takeshita 2002 Not a randomised clinical trial.

Characteristics of studies awaiting classification [ordered by study ID]

CLAINF 2000.

Methods Randomised clinical trial in Italy.
Participants 800 participants, 35 years or older, with onset of symptoms within 12 hours, documented acute myocardial infarction, Chlamydia pneumoniae seropositivity (IgG‐MIF greater than or equal to 64 and/or IgA‐MIF greater than or equal to 16 were included.
Male:female =
Mean age =
Exclusion criteria: previous infarctions; macrolide intolerance or allergy; use of carbamazepine, cyclosporine, fluoxetine, theophylline, or zidovudine; antibiotics use in the past 30 days; chronic renal failure (or creatinine values ​​greater than twice the upper normality threshold); hepatic impairment documented by previous enzymatic infarction; pregnant women suspected; participation in other clinical trials; any other condition the investigator considers is a risk criteria.
Interventions Experimental group: clarithromycin (n = 400).
Control group: placebo (n = 400).
Co‐intervention: none mentioned.
Outcomes All‐cause mortality; reinfarction, heart failure.
Notes R. Vergassola. The protocol for the trial is published, however the final trial cannot be found.

MASTARD 2017.

Methods Randomised clinical trial in Russia.
Participants Estimated inclusion of 45 participants aged 18 to 75 years, with Q wave STEMI, admission to an intensive care unit <24 hours of symptom onset, and reperfusion of the infarct‐related coronary artery <24 hours of symptom onset were included.
Exclusion criteria: permanent atrial fibrillation; valvular heart disease; severe comorbidity; acute heart failure (Killip classification IV FC); history of chronic heart failure (NYHA III‐IV); poor image quality of echocardiography; sinus bradycardia (<50 BPM, QRS >0.11 s, and AV‐block II‐III)
Interventions Experimental group: doxycycline 100 mg orally two times daily for seven days.
Control group: no intervention beside co‐intervention.
Co‐intervention: Primary PCI and guideline‐based medical therapy for STEMI.
Outcomes LV end‐diastolic volumes index, 2D global longitudinals strain, MMP and other biomarkers, adverse events, and combined and single endpoint of cardiovascular mortality, re‐infarction, angina, heart failure, and stroke, (14 days and 6 months follow‐up).
Notes Vyacheslav Ryabov, Research Institute for Cardiology, Tomsk. Russian Academy of Medical Sciences.
Supposedly, the results have been submitted to ClinicalTrials.gov 30 May 2017 and returned back to the authors 20 October 2017. No information after that.
Dr. Ryabov was contacted on rvvt@cardio‐tomsk.ru the 26.12.19.

BPM: beats per minute;IgG: Immunoglobulin G ; MIF: migration inhibitory factor; NYHA: New York Heart Association; ; PCI: coronary intervention; STEMI: ST‐elevation myocardial infarction.

Characteristics of ongoing studies [ordered by study ID]

ACAC‐CHD 2018.

Study name Anti‐chlamydophila antibiotic combination therapy in the treatment of patients with Coronary Heart Disease
Methods Randomised clinical trial at 11 sites in the Netherlands, Belgium, Sweden, Norway, Austria and Canada.
Participants Estimated inclusion of 60 participants aged 18 to 80 years, with documented recent acute coronary syndrome or evidence of myocardial ischaemia; with a culprit lesion suitable for PCI, and a non‐critical lesion in another vessel suitable for staged PCI with an FFR of <0.80 for participants will be included.
Exclusion criteria: females with child‐bearing potential; clinically significant haematologic, hepatic, metabolic, renal, rheumatologic, anaphylactic reactions, neurological or psychiatric disease; clinical evidence of any other disease, which might interfere with the participant's ability to enter the trial; concomitant administration of medications that may interfere with treatment as assessed by the Investigator, including allergy to any component of the therapy; concomitant administration of any medication prohibited for use during this study (e.g. colchicine); male participants consuming greater than 60 g alcohol per day, or female participants consuming greater than 40 g alcohol per day; evidence of any recent history of, or current recreational drug abuse; serious adverse reaction or hypersensitivity to therapeutic drugs; unable and to comply with the study requirements; participants who have been involved in an experimental drug protocol within the past four weeks.
Interventions Experimental group: doxycycline + azithromycin + rifabutin for 3 months.
Control group: matching placebo.
Co‐intervention: none mentioned.
Outcomes Fractional flow reserve (3 months follow‐up); angiographic stenosis change (3 months follow‐up); death, reinfarction, stroke, and major bleeding (6 months follow‐up)
Starting date February 2018. Anticipated date of last data collection 31/12/2020.
Contact information Krystle.Kyriakou@health.nsw.gov.au; priya.maistry@cdd.com.au; or cddresearch@cdd.com.au
Notes Trial ID: ACTRN12618000260224

DOXY‐STEMI 2018.

Study name Doxycycline to Protect Heart Muscle After Heart Attacks
Methods Randomised clinical trial at one site in Canada.
Participants Estimated inclusion of 170 participants aged 18 years or older and with onset of STEMI <12 hours will be included.
Exclusion criteria: low risk inferior STEMI (total ST elevation plus depression <4mm); cardiogenic shock; use of thrombolytics; prior history of myocardial infarction or heart failure; known hypersensitivity to tetracyclines; any concurrent medical condition expected to reduce life expectancy to <1 year; symptom onset to treatment (loading dose) time longer than 24 hours; poor renal function (eGFR <30) or other contraindications to MRI (claustrophobia, pregnancy, PPM/ICD, sub‐arachnoid clips, retained ocular foreign body.
Interventions Experimental group: doxycycline 200 mg orally upon enrolment, followed by 100 mg orally two times daily for 7 days.
Control group; placebo.
Co‐intervention: none mentioned.
Outcomes Left ventricular end‐systolic volume index, left ventricular end‐diastolic volume index, left ventricular ejection fraction, and infarct size (3 months follow‐up); composite endpoint of mortality and hospital admission due to re‐infarction, heart failure, or stroke (3 and 12 months follow‐up).
Starting date October 2019. Anticipated study completion date December 2022.
Contact information mailto:Robert.Welsh%40albertahealthservices.ca?subject=NCT03508232, DOXY‐STEMI, Doxycycline to Protect Heart Muscle After Heart Attacks; mailto:Richard.Schulz%40ualberta.ca?subject=NCT03508232, DOXY‐STEMI, Doxycycline to Protect Heart Muscle After Heart Attacks
Notes Trial ID: NCT03508232.

Fredy 2019.

Study name Effect of Doxycycline on cardiac remodelling in STEMI patients
Methods Randomised clinical trial at one site in Indonesia.
Participants Estimated inclusion of 80 participants aged 18 years or older, with onset of STEMI <12 hours, with anterior wall STEMI, Killip grade II‐III, or LVEF <50%, and undergoing primary PCI will be included.
Exclusion criteria: signs of infection (clinical judgement plus leukocyte count >15,000); STEMI mechanical complication; moderate‐severe vascular disease; allergic to doxycycline.
Interventions Experimental group: doxycycline 100 mg orally two times daily for 7 days, administered early after primary PCI.
Control group; matching placebo.
Co‐intervention: primary PCI. None else mentioned.
Outcomes High sensitivity Troponin T (12 hours follow‐up); high sensitivity CRP, neutrophils, and ST2 (24 hours follow‐up); NT‐pro BNP (5 days follow‐up); death, heart failure, rehospitalisation, and left ventricle function and dimension (4 months follow‐up).
Starting date May 2019. Anticipated study completion date November 2019.
Contact information mailto:felixchikita%40gmail.com?subject=NCT03960411, 01, Effect of Doxycycline on Cardiac Remodelling in STEMI Patients; mailto:bambang_ui%40yahoo.com?subject=NCT03960411, 01, Effect of Doxycycline on Cardiac Remodelling in STEMI Patients
Notes Trial ID: NCT03960411.

SALVAGE MI 2018.

Study name Doxycycline as a cardioprotective agent in ST‐elevation myocardial infarction: a pilot study addressing pre‐ reperfusion administration
Methods Randomised clinical trial at one site in Australia.
Participants Estimated inclusion of 120 participants aged 18 years or older with ECG‐changes showing anterior or inferior STEMI or new left bundle branch block, symptom onset <1 2 hours, occlusion of the culprit related artery (TIMI grade 0‐1) on coronary angiography, proximal and/or mid left anterior descending artery, or proximal dominant left circumflex or dominant right coronary artery, and undergoing primary PCI will be included.
Exclusion criteria: pregnancy; previous myocardial infarction; prior CABG; prior PCI in LAD/RCA; pre‐existing left ventricular dysfunction; presentation with cardiac arrest or cardiogenic shock; rescue PCI for failed thrombolysis; left main coronary artery stenosis of such severity that after PCI of their culprit lesion (LAD/RCA) they are likely to require CABG within the time course of the study period (6 months); known allergy to tetracyclines; contraindications to CMR.
Interventions Experimental group: doxycycline 100 mg intravenous prior to establishing reperfusion followed by doxycycline 100 mg orally twice daily for 7 days.
Control group; placebo.
Co‐intervention: primary PCI and guideline‐based standard care.
Outcomes Myocardial infarct size, left ventricular remodelling, and echocardiographic measurements (6 months follow‐up).
Starting date July 2018. Anticipated study completion date December 2020.
Contact information william.chan@unimelb.edu.au; s.noaman@alfred.org.au.
Notes Trial ID: ACTRN12618000467235

CABG: coronary artery bypass graft; ECG: electrocardiogram; LAD artery: left anterior descending artery; LEVF: LV ejection fraction; PCI: coronary intervention; STEMI: ST‐elevation myocardial infarction; TIMI: Thrombolysis In Myocardial Infarction.

Differences between protocol and review

  • We added three additional post hoc subgroup analyses.

    • To assess the potential difference in effect based on the different classes of antibiotics, we added a subgroup analysis comparing the effects between trials with different classes of antibiotics.

    • To assess the potential difference in effect based on industry funding, we added a subgroup analysis comparing the effects between trials that were sponsored by the industry to trials that were not sponsored by the industry.

    • To assess the potential difference in effect based on the control intervention, we added a subgroup analysis comparing the effects between trials using either placebo or 'no intervention' as control intervention.

  • We conducted additional post hoc meta‐analyses on clinically important outcomes not already being assessed in the review (i.e. hospitalisation for any cause, revascularisation, and unstable angina pectoris).

  • To assess imprecision, we estimated the optimal information size according to the GRADE Handbook using a risk ratio (RR) of 15%; incidence based on the meta‐analysis; alpha of 2.5% when assessing all‐cause mortality and alpha of 2.0% when assessing cardiovascular mortality, myocardial infarction, stroke, and sudden cardiac death; and beta of 10%.

  • We did not report Trial Sequential Analysis (TSA) and the TSA‐adjusted CI in accordance with our pre‐published protocol due to Cochrane not endorsing this method.

  • We did not report if a result crossed a specific threshold for statistical significance due to adherence to Cochrane methods. Instead, when interpreting the results, we looked at the certainty of evidence, magnitude of the effect, and precision of the effect. Hence, we did not use the adjusted P values as mentioned in the protocol.

  • We did not conduct the planned subgroup analysis comparing the mean age of trial participants (18 to 59 years versus 60 to 79 years versus 80 years and over) due to lack of data. Instead, we compared the trials with a mean age of trial participants between 18 to 59 years to trials with a mean age of trial participants of 60 years and above.

  • We did not only assess the risk of bias of an outcome result as low if all or most of the trials were at low risk of bias. Instead, we assessed the risk of bias of an outcome result as low if the majority of the information was from trials at low risk of bias.

Contributions of authors

Naqash Javaid Sethi (NJS): drafted the protocol, extracted data, coordinated the review, conceived the review, designed the review, interpreted the data providing a methodological view, and revised the review.

Sanam Safi (SS): revised the protocol, extracted data, commented on the review, and revised the review.

Steven Kwasi Korang (SKK): revised the protocol, extracted data, commented on the review, and revised the review.

Asbjørn Hróbjartsson (AH): revised the protocol, commented on the review, and revised the review.

Maria Skoog (MS): revised the protocol, commented on the review, and revised the review

Christian Gluud (CG): revised the protocol, interpreted the data providing a methodological and clinical view, commented on the review, and revised the review.

Janus Christian Jakobsen (JCJ): revised the protocol, interpreted the data providing a methodological and clinical view, commented on the review, and revised the review.

All authors agreed on the final version.

Sources of support

Internal sources

  • Copenhagen Trial Unit, Denmark

External sources

  • NIHR, UK

    This project was supported by the National Institute for Health Research, via Cochrane Infrastructure funding to the Heart Group. The views and opinions expressed therein are those of the authors and do not necessarily reflect those of the Systematic Reviews Programme, NIHR, NHS or the Department of Health and Social Care.

Declarations of interest

The performance of this review is free of any real or perceived bias introduced by receipt of any benefit in cash or kind, or any subsidy derived from any source that may have or be perceived to have an interest in the outcomes of the review.

Naqash J Sethi (NJS): no conflict on interest.

Sanam Safi (SS): no conflict of interest.

Steven Kwasi Korang (SKK): no conflict of interest.

Asbjørn Hróbjartsson (AH): no conflict of interest.

Maria Skoog (MS): Involved in a randomised trial (CLARICOR) in which the intervention drug (Klacid Uno®) and placebo were donated by Abbott without conditions.

Christian Gluud (CG): Involved in a randomised trial (CLARICOR) in which the intervention drug (Klacid Uno®) and placebo were donated by Abbott without conditions.

Januc C Jakobsen (JCJ): no conflict of interest.

Edited (no change to conclusions)

References

References to studies included in this review

ACADEMIC 1999 {published data only}

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References to ongoing studies

ACAC‐CHD 2018 {published data only}

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Fredy 2019 {published data only}

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