Tuberculosis preventive therapy for people living with HIV: A systematic review and network meta-analysis

Mercedes Yanes-Lane; Edgar Ortiz-Brizuela; Jonathon R Campbell; Andrea Benedetti; Gavin Churchyard; Olivia Oxlade; Dick Menzies

doi:10.1371/journal.pmed.1003738

. 2021 Sep 14;18(9):e1003738. doi: 10.1371/journal.pmed.1003738

Tuberculosis preventive therapy for people living with HIV: A systematic review and network meta-analysis

Mercedes Yanes-Lane ¹, Edgar Ortiz-Brizuela ^1,², Jonathon R Campbell ^1,³, Andrea Benedetti ^1,^3,⁴, Gavin Churchyard ^5,⁶, Olivia Oxlade ¹, Dick Menzies ^1,^3,^*

Editor: Amitabh Bipin Suthar⁷

PMCID: PMC8439495 PMID: 34520459

Abstract

Background

Tuberculosis (TB) preventive therapy (TPT) is an essential component of care for people living with HIV (PLHIV). We compared efficacy, safety, completion, and drug-resistant TB risk for currently recommended TPT regimens through a systematic review and network meta-analysis (NMA) of randomized trials.

Methods and findings

We searched MEDLINE, Embase, and the Cochrane Library from inception through June 9, 2020 for randomized controlled trials (RCTs) comparing 2 or more TPT regimens (or placebo/no treatment) in PLHIV. Two independent reviewers evaluated eligibility, extracted data, and assessed the risk of bias. We grouped TPT strategies as follows: placebo/no treatment, 6 to 12 months of isoniazid, 24 to 72 months of isoniazid, and rifamycin-containing regimens. A frequentist NMA (using graph theory) was carried out for the outcomes of development of TB disease, all-cause mortality, and grade 3 or worse hepatotoxicity. For other outcomes, graphical descriptions or traditional pairwise meta-analyses were carried out as appropriate. The potential role of confounding variables for TB disease and all-cause mortality was assessed through stratified analyses.

A total of 6,466 unique studies were screened, and 157 full texts were assessed for eligibility. Of these, 20 studies (reporting 16 randomized trials) were included. The median sample size was 616 (interquartile range [IQR], 317 to 1,892). Eight were conducted in Africa, 3 in Europe, 3 in the Americas, and 2 included sites in multiple continents. According to the NMA, 6 to 12 months of isoniazid were no more efficacious in preventing microbiologically confirmed TB than rifamycin-containing regimens (incidence rate ratio [IRR] 1.0, 95% CI 0.8 to 1.4, p = 0.8); however, 6 to 12 months of isoniazid were associated with a higher incidence of all-cause mortality (IRR 1.6, 95% CI 1.2 to 2.0, p = 0.02) and a higher risk of grade 3 or higher hepatotoxicity (risk difference [RD] 8.9, 95% CI 2.8 to 14.9, p = 0.004). Finally, shorter regimens were associated with higher completion rates relative to longer regimens, and we did not find statistically significant differences in the risk of drug-resistant TB between regimens. Study limitations include potential confounding due to differences in posttreatment follow-up time and TB incidence in the study setting on the estimates of incidence of TB or all-cause mortality, as well as an underrepresentation of pregnant women and children.

Conclusions

Rifamycin-containing regimens appear safer and at least as effective as isoniazid regimens in preventing TB and death and should be considered part of routine care in PLHIV. Knowledge gaps remain as to which specific rifamycin-containing regimen provides the optimal balance of efficacy, completion, and safety.

Mercedes Yanes-Lane and co-workers report a systematic review and network meta-analysis of clinical trial evidence on tuberculosis preventive therapy options for people with HIV infection.

Author summary

Why was this study done?

People living with HIV (PLHIV) have a high risk of developing and dying of tuberculosis (TB) disease.
There are several tuberculosis preventive therapy (TPT) regimens available for PLHIV (i.e., 6, 12, and 36 months of isoniazid (6H, 12H, and 36H), 3 months of isoniazid plus rifampin (3HR), and 1 or 3 months of isoniazid plus rifapentine (1HP and 3HP). To date, there are no direct comparisons between these preventive treatments.

What did the researchers do and find?

We performed a systematic review and network meta-analysis (NMA) of studies comparing 2 or more of the currently recommended TPT regimens among PLHIV.
The NMA approach allowed us to use data from published randomized controlled trials (RCTs) to indirectly compare different TPT strategies.
Shorter, rifamycin-containing regimens (3HR, 3HP, and 1HP) had better completion rates than isoniazid-based regimens (6H, 12H, and 36H).
When compared to rifamycin-containing regimens, isoniazid-based regimens were associated with a higher mortality risk and a higher frequency of severe adverse events.
Rifamycin-containing regimens were as good as isoniazid-based regimens at preventing TB disease, and there was no evidence that they contributed to development of drug resistance.

What do these findings mean?

Rifamycin-containing regimens are as safe and effective as isoniazid-based regimens in PLHIV and should be considered part of routine care.
Further research is needed to define which rifamycin-containing regimen is most beneficial in PLHIV.

Introduction

Tuberculosis (TB) is the leading cause of death among people living with HIV (PLHIV) [1]. In 2019, approximately 208,000 people died of HIV-associated TB [2]. Tuberculosis preventive therapy (TPT), with or without antiretroviral therapy (ART), has proven to reduce progression to active TB and mortality among PLHIV [3]. Previously, the World Health Organization (WHO) considered using either 6 or 36 months of isoniazid (hereafter, 6H and 36H, respectively) as the preferred TPT regimens, based on the setting’s TB incidence [4]. However, significant disadvantages of isoniazid-based regimens, including their length, low completion rates, and potential for hepatotoxicity [5], led to the search of better completed and more tolerable rifamycin-containing regimens [6–11].

In light of this new evidence, the WHO updated their guidelines in 2020 to include the use of 3 months of daily isoniazid plus rifampicin (3HR) and 3 months of weekly isoniazid plus rifapentine (3HP) as the preferred TPT regimens along with 6-9H, regardless of HIV status [12]. One month of daily isoniazid plus rifapentine (1HP) and 4 months of daily rifampin (4R) were considered alternative regimens [12]. Nevertheless, caution is advised when prescribing rifamycin-containing regimens to PLHIV due to the risk of drug–drug interactions, for example, between rifamycins and protease inhibitors (e.g., darunavir) [12,13]. Finally, 36H is still recommended for PLHIV in settings with a high risk of TB transmission, in view of the considerable risk of reinfection [12].

According to previous network meta-analyses (NMAs) of latent tuberculosis infection (LTBI) treatment regimens, both isoniazid-based and rifamycin-containing regimens are effective in preventing TB disease among PLHIV and other risk groups [14]. However, there are few direct head-to-head comparisons between isoniazid-based and rifamycin-containing regimens among PLHIV. Hence, we aimed to assess the effectiveness and safety of different TPT regimens among PLHIV through a systematic review and NMA of clinical trials comparing a TPT regimen with either placebo, no treatment, or other treatment regimens.

Methods

Data sources and searches

This systematic review adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for NMA guidelines (PRISMA in S1 File), and our protocol was prospectively registered with PROSPERO (CRD42020177338). Given the dearth of methods available to control for heterogeneity introduced by observational studies in NMAs, a decision was made to only include randomized trials in our study. Protocol amendments to our initial submission to PROSPERO were carried out accordingly.

We designed a search strategy to identify all randomized controlled trials (RCTs) comparing at least 1 TPT regimen to placebo, no treatment, or other TPT regimens among PLHIV, regardless of age, setting, and baseline tuberculin skin test (TST) or interferon gamma release assay (IGRA) status. At least 1 of the following outcomes must have been reported: efficacy (in terms of incidence of microbiologically confirmed active TB or clinically diagnosed TB and all-cause mortality), grade 3 or worse hepatotoxicity [15], treatment completion, or occurrence of drug-resistant TB after treatment. We searched MEDLINE, Embase, and the Cochrane Library to identify all clinical trials published from database inception until June 9, 2020. The complete search strategy is available in Material A in S1 File. No additional articles were identified from the retrieved articles’ references or relevant systematic reviews identified during the search.

Study selection

All titles, abstracts, and full texts were independently assessed by 2 reviewers (EOB and MYL). Studies were screened without language restriction. Included studies compared at least 1 regimen of interest to placebo, no treatment, or to another TPT regimen. Regimens of interest were those recommended in guidelines published in 2020 by the Centers for Disease Control and Prevention (CDC) and WHO guidelines (i.e., 3 to 4R, 3 to 4 HR, 3HP or 1HP) as well as different durations of daily isoniazid [12,13]. With the exception of 3HP, intermittent TPT regimens were excluded, as well as regimens containing ethambutol or pyrazinamide, since they are no longer recommended [4]. Moreover, included studies must have presented results stratified by HIV status or exclusively performed among PLHIV. Finally, only the following study designs were considered: RCTs, including factorial or parallel RCTs.

Studies were excluded if they did not compare 2 or more TPT regimens of interest or at least 1 TPT regimen of interest and either placebo, no treatment, or another regimen not of interest that would permit indirect comparisons of any of the currently recommended regimens. For studies in languages other than English, members of the team fluent in the language were asked to asses the eligibility of the study.

Data extraction and quality assessment

Two independent reviewers (EOB and MYL) extracted data from all included studies using a predefined extraction form (Table A in S1 File). Disagreements were resolved by consensus with a third reviewer (DM). If studies reported additional details, such as long-term follow-up in another manuscript, information was extracted from both.

The quality of the included studies was evaluated using criteria from the revised Cochrane risk-of-bias tool for randomized trials (RoB 2) that was adapted for simplicity (Table B in S1 File) [16]. One or more items from each RoB 2 domain were included based on the intention-to-treat effect. The following 5 areas were assessed: bias arising from the randomization process, bias due to deviations from intended interventions, bias in measurement of the outcome, bias in missing outcome data, and bias in the selection of the reported results. Studies were categorized as with a low risk of bias when there was a low risk of bias in the randomization process and in at least 2 of the 4 remaining domains. If these conditions were not met, the study was considered at high risk of bias. Two independent reviewers (EOB and MYL) conducted the quality assessment, and any disagreements were resolved by consensus.

Outcomes

For information on outcomes, only intention-to-treat data were included. For studies where long-term follow-up was available (and met our inclusion criteria), information from these was used in the analysis. As explained above, 5 main outcomes were assessed: incidence of microbiologically confirmed TB, microbiologically confirmed and clinically diagnosed TB, all-cause mortality, grade 3 or worse hepatotoxicity, treatment completion, and drug-resistant TB occurrence after therapy.

Definitions

We defined microbiologically confirmed TB as a diagnosis made during treatment or posttreatment follow-up using acid-fast bacilli smear, culture, and/or molecular tests (e.g., GeneXpert). Clinically diagnosed TB was defined as a diagnosis made using chest X-ray abnormalities or suggestive histology (positive for necrotizing granulomas). All-cause mortality included outcomes during treatment or posttreatment follow-up. Grade 3 or worse hepatotoxicity was defined as an increase of alanine transaminase (ALT) or aspartate transaminase (AST) of at least 5 times the upper limit of normal according to criteria described elsewhere [17]. Only adverse events detected during the treatment phase were included in this analysis. If the study reported adverse events after treatment completion combined with adverse events during treatment, these results were excluded from the analysis. We used individual study definitions for TPT completion. Drug resistance was classified as isoniazid resistance (resistance to isoniazid with or without resistance to other first-line TB drugs) and rifampin resistance (resistance to rifampin with or without resistance to other first-line TB drugs).

Data synthesis and statistical analysis

Differences in treatment effects were summarized using incidence rate ratios (IRRs) or risk differences (RDs) per 100 persons randomized, as appropriate. Since previous systematic reviews assessing TPT effectiveness among PLHIV have found a major degree of clinical and methodological heterogeneity, we decided a priori to perform a random-effects NMA using a graph theoretical approach to estimate the pooled IRR or pooled RD for the outcomes of microbiologically confirmed active TB, all-cause mortality, and grade 3 or worse hepatotoxicity [18].

Briefly, the graph theoretical approach uses a frequentist method to calculate NMA effect estimators. It is based on electrical theory in which variance corresponds to resistance, treatment effects to voltage, and weighted treatment effects to current flows [18]. When applied to a pairwise meta-analysis, it can produce both random-effects and fixed-effects models. This method has been found to be equivalent to Bayesian mixed treatment comparisons [19].

Multi-armed studies were included as 2 armed comparisons for all possible treatment combinations, accounting for comparisons belonging to the same study by using identical study labels and adjusting the standard errors accordingly [18]. To test for inconsistency in the NMA, the net heat plot method was used [20]. This method asseses the contribution of each study to inconsistency in the network by temporarily removing each and calculating the differences in inconsistency. It uses colors within a matrix to graphically display the level of inconsistency from each design [20]. Potential indicators of inconsistency were further analyzed by looking at the distribution of variables across studies and identifying potential outliers.

We used a frequentist approach to calculate the average treatment ranking (P-score) [21]. This method uses the point estimates and standard errors of the frequentist NMA to rank treatment estimates. The P-scores should be interpreted as the extent of certainty that one treatment is better than another, averaged over all competing treatments. In our analysis, P-scores closer to 1 indicate a higher certainty.

Given the heterogeneity in definitions of treatment completion between studies, a meta-analysis was not performed for this outcome, and only a descriptive analysis was reported. Likewise, the low number of studies reporting drug-resistant TB precluded our ability to perform an NMA. Instead, the pooled cumulative incidence of drug-resistant TB was estimated via direct pairwise meta-analysis using a random-effects model. The latter was performed by estimating a generalized linear mixed model with logit transformation, using the total number of patients randomized to the intervention arm as the denominator.

As suggested by the Cochrane Handbook for Systematic Reviews of Interventions, treatments were grouped into nodes to maximize similarity of the interventions within each node while minimizing similarity across them [22]. In order to compare all mono-isoniazid regimens against rifamycin-containing regimens, we created a node with all mono-isoniazid regimens (i.e., from 6 to 72 months of isoniazid) and another with all rifamycin-containing regimens (i.e., 3HR, 3HP, and 1HP). After that, we divided mono-isoniazid regimens into 2 different nodes based on treatment duration (i.e., 6 to 12 months of isoniazid and 24 to 72 months of isoniazid). Finally, since pyrazinamide-containing regimes are no longer recommended for TB prevention, no comparisons were presented using this regimen. However, study arms containing pyrazinamide were used for indirect comparisons of the regimens of interest.

Secondary analysis

In planned secondary analysis, all outcomes were assessed for each individual (i.e., disaggregated) TPT regimens. Moreover, post hoc analyses were carried out to explore the potential effect of TB reinfection on the outcomes of microbiologically confirmed active TB and all-cause mortality. The NMA was stratified by TB incidence rates in the study setting (using a cutoff of 300 cases per 100,000 population) as well as posttreatment follow-up duration (using a cutoff of 1 year of posttreatment follow-up). Additionally, after obtaining our results, we decided to investigate the association of rifamycin-containing regimens with a lower all-cause mortality through a sensitivity analysis excluding studies of rifamycin-containing regimens with >90% use of ART, a stratified analysis of studies in which more, or less than 50% of participants had received ART, and meta-regression, adjusting for proportion of study participants who had ever received ART using the method described by Lumley [23].

Lastly, we conducted a stratified analysis by TST/IGRA status. However, since the number of studies reporting microbiologically confirmed TB stratified by TST or IGRA status was limited, we reported the results of this analysis using the outcome of microbiologically confirmed combined with clinically diagnosed TB. Data on TB incidence in person years (microbiologically confirmed or clinically diagnosed) were abstracted if reported or estimated based on numbers of reported cases and person-years of follow-up calculated from median time of follow-up.

All statistical analyses were carried out using the meta (version 4.15–1) [24] and netmeta (version 1.2–1) [25] packages in R software version 3.6.3 [26].

Results

We identified a total of 6,466 unique studies, of which 157 were selected for full-text assessment. Of these, 20 studies (reporting 16 different clinical trials) were included [6–11,27–40] (Fig 1). A complete list of the 137 excluded reports after full-text review with reasons for their exclusion is available in Table C in S1 File.

Fig 1 — * For further detail on the reasons for exclusion, please refer to Table C in S1 File. PLHIV, people living with HIV; TPT, tuberculosis preventive therapy.

Sixteen reports from 12 clinical trials of TPT regimens among PLHIV were excluded for the following reasons. Four studies from 3 clinical trials were excluded because no regimen of interest was assessed [41–44]. Three clinical trials included only 1 TPT regimen of interest but were excluded because no indirect comparisons were possible [45–47]. Nine studies from 6 clinical trials were excluded for other reasons: 1 trial compared empiric active TB therapy against 6H [48–50]; a second evaluated the safety of isoniazid preventive therapy at 2 timings during pregnancy [51]; a third excluded study compared 12 weeks of an enhanced opportunistic infection prophylaxis versus trimethoprim-sulfamethoxazole, but both arms received isoniazid [52,53]; a fourth comparing 2 months of rifampin and pyrazinamide (2RZ) versus 9H used interchangeably rifampin or rifabutin and reported results together [54]; a fifth comparing 12H versus placebo offered isoniazid to the placebo arm during the trial [55]; and a sixth comparing 6H (daily or thrice a week) versus placebo and did not report stratified results for dosing schedules [56].

Nine trials were judged to be at high risk of bias due to problems in randomization and allocation concealment, blinding of outcome assessors, or missing data [8–10,28,29,31,32,34,40] (Fig A in S1 File).

Among the included studies, the median sample size was 616 (interquartile range [IQR], 317 to 1,892). Eight were carried out in Africa [8,11,27,30,34,36–38], 3 in Europe [9,10,29], 3 in the Americas[28,32,40], and 2 included sites in multiple continents [6,7] (Table 1).

Table 1. Main characteristics of the included studies.

First author (year)	Country or region (TB incidence^ª, year)	Number of participants included	TPT (months/drugs)	Age (years)	CD4, cells/mm³ (median, IQR unless otherwise stated)	ART, n (%)^B	LTBI^†† n (%)	Follow-up since randomization, (months)^b	Primary outcome
Gordin (1997)	United States of America (6.7, 2000)	517	6H, placebo	Mean 38 (range, 21–64)	240 (100–417)	377 (72.9)^¶	0 (0) TST	Planned: 30; actual (mean): 6H: 34 (NR); Placebo: mean 33 (NR)	Development of active TB, pulmonary, extrapulmonary, or both
Martínez Alfaro (2000)	Spain (23, 2000)	133	12H, 3HR	Mean 32.2 (NR)	Mean 396 (NR)	0 (0)^§	47 (35) TST	Planned: 24, actual (median): 12H: 19 (NR); 3HR: 16 (NR)	Development of active TB, in any site, in the first 2 years after treatment
Rivero (2007)	Spain (23, 2000)	316	6H, 3HR, 2RZ^##	Mean 31.3–33^† (NR)	466–522^† (22–1,680)^†	NR	316 (100) TST	Planned (posttreatment): 24; actual posttreatment (mean)^#: 6H: 12.8 (NR); 3HR: 12.6 (NR)	Development of active TB and treatment cessation due to toxicity
Rivero (2003)	Spain (23, 2000)	319	6H, 3HR, 2RZ^##, no treatment	Mean, 32.7 (NR)	230 (range, 0–1,495)	NR	0 (0) TST	Planned (posttreatment): 24; actual posttreatment (mean)^#: 6H: 12.7 (NR); 3HR: 14 (NR); no treatment: 19.6 (NR)	Development of active TB
Gordin (2000) and Gordin (2004) (for adverse events)	USA, Mexico, Brazil, and Haiti (25.4, 1990)	1,583	12H, 2RZ^##	Mean 37 (range, 16–70)	436 (274–621)	574 (36.3)	1,128 (100) TST	Planned: 36 months; actual: 12H: 36.8 (NR)	Confirmed active TB
Sterling (2016)	USA, Brazil, Spain, Peru, Canada, and Hong Kong (35.3, 2007)^*	399	9H, 3HP	Median 36 (IQR, 29–44)^†	495–538^† (389–729)^†	125 (31.3)^§	16 (4)^§§	Planned: 33; actual (mean)^#: 9H: 29.9 (NR); 3HP: 30.1 (NR)^#	Adverse events
Temprano Group (2015)	Ivory Coast (159, 2015)	2,056	6H, no treatment	Median 35 (IQR, 29–42)^†	459–467^† (359–584)^†	1,630 (79.3)^§	337/967 (34.9) IGRA	Planned: 30; actual (median, IQR): 6H: 29.9 (29.9–30); no treatment: 29.9 (29.9–30)	Composite of death from any cause, AIDS-defining disease, non-AIDS–defining cancer, or non-AIDS–defining invasive bacterial disease
Badje (2017) (Temprano follow-up)	(159, 2015)	--	--	--	--	1,831 (89.1)^§	--	Planned: 60; actual (median, IQR): 6H: 58.8 (42–69.6); no treatment: 57.6 (39.6–69.6)	All-cause mortality
Swindells (2019)	10 countries in Africa, Asia, and America^** (249.9, 2015)^*	2,986	9H, 1HP	Median 35 (IQR, 28–43)	470 (346–635)	2,891/3,000 (96.3)^§	692 (23) IGRA or TST	Planned: 36 (after the last patient enrolled); actual (mean)^#: 9H: 39.1 (NR); 1HP: 39.5 (NR)	First diagnosis of active TB, death from TB, or death from an unknown cause
Fitzgerald (2001)	Haiti (270, 2000)	2,37	12H, placebo	Mean 32 (NR)	NR	0 (0)^§	0 (0) TST	Planned: NI; actual (mean): 12H: 30 (NR); Placebo: 28.8 (NR)	Development of active TB, AIDS, and death
Whalen (1997)	Uganda (276, 2000)	2,736	6H, 3HR, 3HRZ^BB, placebo	Mean 29–30^† (NR)	NR	0 (0)^¶	2,018 (74) TST	Planned: 36; actual (mean)^#: placebo (TST+/−): 14.7 (NR); 6H (TST+/−): 13.1 (NR); 3HR: 14.9 (NR)	Development of active TB
Johnson (2001) (Whalen follow-up)	(276, 2000)	--	--	--	NR	NR	--	Planned: NR; actual (mean): 6H^# (TST+/−): 21.8; placebo^# (TST+/−): 23.4; 3HR: 25.2	Development of active TB, all-cause mortality, and drug resistance in patients who developed active TB during follow-up
Hawken (1997)	Kenya (451, 2000)	684	6H, placebo	Mean 31.1 (SD, 6.9–7.5)^†	321.5–346^†(range, 3–3,352)^†	NR	136/595 (23) TST	Planned: 30; actual (median, range): 6H: 22 (0–41); Placebo: 21.8 (0–40.4)	Development of active TB
Samandari (2011)	Botswana (598, 2008)	1,995	6H, 36H	Median 32 (IQR, 28–39)	297 (172–449)	946 (47.4)^§	468 (23) TST	Planned: 36; actual (mean)^#: 6H: 32.6 (NR); 36H: 33 (NR)	Development of active TB
Samandari, (2015) (Samandari follow-up)	(598, 2008)	--	--	--	--	1,007/1,398 (72)^§	--	Planned: 72; actual (mean)^#: 6H: 58.5 (NR); 36H: 58.6 (NR)	Development of TB or death from any cause
Zar (2006)	South Africa (883, 2004)	263	24H (daily and t.i.w.), placebo	Median 24.7 months (IQR, 9.4–51.6)	20 (% lymphocytes), (14–28)	81 (30.8)^§	22/257 (9) TST	Planned: 24; actual (mean)^#: 24H: 6.4 (NR)^#; placebo: 5.1 (NR)	All-cause death
Rangaka (2014)	South Africa (948, 2010)	1,369	12H, placebo	Median 34 (IQR, 30–40)	216 (152–360)	1,369 (100)^§^¶	491/879 (55.9) IGRA or TST	Planned: 36; actual (mean)^#:12H: 32.4 (NR)^#; placebo: 32.2 (NR)	Development of active TB
Martinson (2011)	South Africa (963, 2006)	1,148	6H, 3HR^BB, 3HP, 72H	Median 30.4 (IQR, 26.4–34.7)	484 (350–672)	215 (18.7)^§	1,148 (100) TST	Planned: 72; actual (median): 6H: 46.8 (NR); 3HP: 48 (NR); 72H: 46.8 (NR)	TB free survival
Madhi (2011)	South Africa and Botswana (977, 2007)^*	548	24H, placebo	Median 96 days (range, 91–120)	28 (% lymphocytes), (6–58)	542 (98.9)^§	NR	Planned: 48; actual (median, range): 24H: 18 (0.25–27); placebo: 19 (0.25–27)	TB free survival

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ª WHO TB burden estimates for all forms of TB (cases/100,000 people, year).

^b Information about TPT regimens that was not of interest in our study and was not included.

* Weighted mean; in the study of Madhi and colleagues, only 4 PLHIV were included from Botswana; the incidence rate of South Africa is presented.

** Botswana, Brazil, Haiti, Kenya, Malawi, Peru, South Africa, Thailand, the USA, and Zimbabwe.

^† Extreme values for all treatment arms.

^B As reported by each study.

^¶ Baseline.

^§ Ever received.

^BB Excluded since it was not a regimen of interest (intermittent dosing [Martinson] or using pyrazinamide [Whalen]) and did not allow indirect comparisons for regimens of interest.

^†† As diagnosed by TST or IGRA.

^§§ TST converter; the remaining were close contacts of TB cases.

^# Person-years of follow-up divided by the number of subjects randomized in each arm.

^## Used only for indirect comparisons.

ART, antiretroviral therapy; H, isoniazid; IGRA, interferon gamma release assay; IQR, interquartile range; LTBI, latent tuberculosis infection; mo, months; NR, not reported; P, rifapentine; PLHIV, people living with HIV; R, rifampin; RCT, randomized controlled trial; TB, tuberculosis; t.i.w., three times a week; TPT, tuberculosis preventive therapy; WHO, World Health Organization; Z, pyrazinamide.

Eight studies included daily 6H [8–11,28,30,34,36], 2 studies daily 9H[6,7], 4 studies daily 12H [29,32,37,40], 2 studies daily 24H [27,38], 1 study daily 36H[36], 1 study daily 72H [8], 4 studies daily 3HR [9–11,29], 2 studies weekly 3HP [7,8], 1 study daily 1HP [6], and 3 studies daily 2RZ [9,10,40]. Two studies were exclusively carried out in pediatric populations, with ages ranging from 3 months to 4 years [27,38]. Pediatric studies only reported on the development of TB and all-cause mortality. Among studies in adults, the mean or median age ranged from 29 to 36 years. Seven of 16 studies were published in the past 10 years [6–8,30,36–38]. Six studies either did not report or did not use ART [9–11,29,32,34]; in the other 10 trials, the proportion of participants who had ever received ART varied from 18.7% to 100%. The proportion of studies that reported any use of ART was the same for studies with an isoniazid arm (9/13) or a rifamycin-containing arm (4/6) (excluding pyrazinamide-containing regimens). The median proportion of ART use reported in studies with an isoniazid arm was 36.3% (range, 0% to 100%) and in studies with a rifamycin-containing regime was 25% (range, 0% to 96.3%).

As shown in Fig 2, with the exception of 36H, most arms of prolonged isoniazid (i.e., > = 24 months) had no posttreatment follow-up. On the other hand, all isoniazid regimens of 6 to 12 months (except for the 12H arm of Martínez Alfaro and colleagues), and all rifamycin-containing regimens had posttreatment follow-up duration of 12 months or more (rifamycin-containing: median, 18 months; 6 to 12H: median, 20.7 months).

Network meta-analysis results

Fig B in S1 File shows the network of TPT regimens included for the outcome of microbiologically confirmed active TB. For this outcome [6–10,27,33,34,36–40], as shown in Table 2, when comparing grouped regimens, the regimens with the lowest rates of TB, compared to placebo or no treatment, were 24 to 72 H (IRR 0.5, 95% CI 0.3 to 0.8, p = 0.01). There were no statistically significant differences between TPT regimens. Table D in S1 File shows the analysis by individual regimens.

Table 2. NMA of incidence of microbiologically confirmed active TB throughout study duration by aggregated TPT regimens.

Comparison	Number of trials with direct comparison	Direct estimates IRR (95% CI)	Indirect estimates IRR (95% CI)	NMA IRR (95% CI)
Total number of comparisons (studies) ^*	22 (13)
6 to 12 H versus placebo	4	0.7 (0.5 to 1.1)	1.1 (0.4 to 3.1)	0.7 (0.5 to 1.1)
24 to 72 H versus placebo	2	0.7 (0.2 to 2.2)	0.4 (0.2 to 0.8)	0.5 (0.3 to 0.8)
6 to 12 H versus 24 to 72 H	2	1.6 (1 to 2.5)	1.2 (0.4 to 3.5)	1.5 (1.0 to 2.3)
6 to 12 H versus rifamycin containing	6	1.1 (0.8 to 1.5)	0.5 (0.1 to 2.0)	1.0 (0.8 to 1.4)
24 to 72 H versus rifamycin containing	1	0.5 (0.2 to 1.3)	0.8 (0.4 to 1.4)	0.7 (0.4 to 1.2)
Rifamycin containing versus placebo	1	1 (0.2 to 4.4)	0.7 (0.4 to 1.2)	0.7 (0.4 to 1.2)

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* Includes studies with 2RZ. Placebo includes no treatment; rifamycin-containing regimens include 3HR, 3HP, and 1HP. The first regimen mentioned is compared to the second, i.e., first regimen over second regimen. Results should be interpreted as follows: The incidence of active TB with 24 to 72 H was 50% that of the incidence with placebo.

I² for the NMA 0% (0.0%; 34.7%).

CI, confidence interval; IRR, incidence rate ratio; NMA, network meta-analysis; TB, tuberculosis; TPT, tuberculosis preventive therapy.

Likewise, relative to no treatment or placebo, 24 to 72 H (IRR 0.5, 95% CI 0.3 to 0.8, p = 0.005) were the regimens with the lowest rates of microbiologically confirmed or clinically diagnosed TB [6–11,27,29,30,32,34,36–40] (Table 3). However, both rifamycin-containing and 6 to 12H regimens showed evidence of a protective effect against microbiologically confirmed and clinically diagnosed TB.

Table 3. NMA of incidence of microbiologically confirmed and clinically diagnosed active TB throughout study duration by aggregated TPT regimens.

Comparison	Number of trials with direct comparison	Direct estimates IRR (95% CI)	Indirect estimates IRR (95% CI)	NMA IRR (95% CI)
Total number of comparisons (studies) ^*	27 (16)
6 to 12H versus placebo	7	0.6 (0.5 to 0.9)	1 (0.5 to 2.2)	0.7 (0.5 to 0.9)
24 to 72H versus placebo	2	0.8 (0.4 to 1.4)	0.3 (0.2 to 0.6)	0.5 (0.3 to 0.8)
6 to 12H versus 24 to 72H	2	1.9 (1.0 to 3.4)	0.9 (0.4 to 1.7)	1.3 (0.9 to 2.1)
6 to 12H versus rifamycin containing	7	1.1 (0.7 to 1.6)	0.8 (0.2 to 2.7)	1.0 (0.7 to 1.5)
24 to 72H versus rifamycin containing	1	0.4 (0.2 to 1.3)	1 (0.5 to 1.8)	0.8 (0.5 to 1.4)
Rifamycin containing versus placebo	2	0.5 (0.2 to 1.1)	0.8 (0.5 to 1.3)	0.7 (0.4 to 1.0)

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I² for the NMA 26.9% (0.0%; 58.7%).

CI, confidence interval; IRR, incidence rate ratio; NMA, network meta-analysis; TB, tuberculosis; TPT, tuberculosis preventive therapy.

Rifamycin-containing regimens had the lowest rates of all-cause mortality, significantly lower than with placebo or no treatment (IRR 0.6, 95% CI 0.5 to 0.8, p < 0.001) [6–11,27,29,31,32,34,36,37,39,40] (Table 4), or with 6 to 12H (IRR 0.6, 95% CI 0.5 to 0.8, p < 0.001) or with 24 to 72 H regimens (IRR 0.6, 95% CI 0.4 to 0.9, p = 0.006). Findings were similar when comparing individual regimens (Table E in S1 File).

Table 4. NMA of incidence of all-cause mortality throughout study duration by aggregated TPT regimens.

Comparison	Number of trials with direct comparison	Direct estimates IRR (95% CI)	Indirect estimates IRR (95% CI)	NMA IRR (95% CI)
Total number of comparisons (studies) ^*	27 (16)
6 to 12 H versus placebo	7	1.0 (0.8 to 1.1)	1.0 (0.6 to 1.6)	1.0 (0.8 to 1.1)
24 to 72 H versus placebo	2	1.2 (0.7 to 2.0)	0.9 (0.6 to 1.3)	1.0 (0.7 to 1.4)
6 to 12 H versus 24 to 72 H	2	1.0 (0.7 to 1.5)	0.8 (0.5 to 1.3)	1.0 (0.7 to 1.3)
6 to 12 H versus rifamycin containing	7	1.6 (1.3 to 2.1)	1.2 (0.5 to 2.7)	1.6 (1.2 to 2.0)
24 to 72 H versus rifamycin containing	1	1.0 (0.4 to 2.3)	1.8 (1.2 to 2.7)	1.6 (1.2 to 2.4)
Rifamycin containing versus placebo	2	0.6 (0.4 to 0.8)	0.7 (0.5 to 1.1)	0.6 (0.5 to 0.8)

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* Including 2RZ comparisons. Placebo includes no treatment; person-years of follow-up were used as denominator. Rifamycin-containing regimens include 3HR, 3HP, and 1HP. The first regimen mentioned is compared to the second, i.e., first regimen over second regimen. Results should be interpreted as follows: The incidence of all-cause mortality with rifamycin-containing regimens was 40% less than the incidence with placebo.

I² for the NMA 0% (0.0%; 48.8%).

CI, confidence interval; IRR, incidence rate ratio; NMA, network meta-analysis; TPT, tuberculosis preventive therapy.

Rifamycin-containing regimens also had a statistically significant lower occurrence of grade 3 or worse hepatotoxicity compared to isoniazid regimens, with the largest difference observed between 24 and 72 H and rifamycin-containing regimens (RD per 100 persons 20.7, 95% CI 12.5 to 28.9, p < 0.001) [7,8,29,36,37,39,40] (Table 5). The highest risk of hepatotoxicity was with 72 H, as seen in individual regimen comparisons (Table F in S1 File).

Table 5. NMA of RD of grade 3 or worse hepatotoxicity during treatment, by aggregated TPT regimens.

Comparison	Number of trials with direct comparison	Direct estimates RD per 100 persons (95% CI)	Indirect estimates RD per 100 persons (95% CI)	NMA RD per 100 persons (95% CI)
Total number of comparisons (studies) ^*	9 (7)
6 to 12 H versus placebo	2	1.6 (−5.9 to 9.2)	--	1.6 (−5.9 to 9.2)
24 to 72 H versus placebo	0	--	13.5 (3.0 to 24.0)	13.5 (3.0 to 24.0)
6 to 12 H versus 24 to 72 H	2	−11.7 (−19.3 to −4.1)	−13.4 (−37.3 to 10.5)	−11.9 (−19.1 to −4.7)
6 to 12 H versus rifamycin containing	3	7.0 (0.8 to 13.2)	47.3 (19.0 to 75.6)	8.9 (2.8 to 14.9)
24 to 72 H versus rifamycin containing	1	26.5 (15.8 to 37.2)	12.3 (−0.5 to 25.2)	20.7 (12.5 to 28.9)
Rifamycin containing versus placebo	0	--	−7.2 (−16.9 to 2.5)	−7.2 (−16.9 to 2.5)

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* Includes studies with 2RZ. Placebo includes no treatment; rifamycin-containing regimens include 3HR and 3HP. The studies by Temprano group and colleagues and Swindells and colleagues were excluded from this analysis given that adverse events reported included events during treatment and posttreatment follow-up. The first regimen mentioned is compared to the second, i.e., risk with the first regimen minus risk with the second regimen. Results should be interpreted as follows: Participants who received 24 to 72 H had 20.5 more episodes of grade 3 or worse hepatotoxicity per 100 people randomized compared to participants receiving rifamycin-containing regimens.

I² for the NMA 20.5% (0%; 66.1%)

CI, confidence interval; NMA, network meta-analysis; RD, risk difference; TPT, tuberculosis preventive therapy

Fig 3 shows the proportions of treatment completion by TPT regimens. Overall, shorter regimens had the highest proportions of treatment completion. Table G in S1 File shows the proportion of treatment completion by study arm.

When looking at the cumulative incidence of isoniazid resistance (including MDR), the incidence was similar among participants on any mono-isoniazid and rifamycin-containing regimens (0.37 cases per 100 people randomized, 95% CI 0.24 to 0.57 and 0.18 cases per 100 people randomized, 95% CI 0.05 to 0.69, respectively) [6–10,27,30,33,34,36–38,40] (Table 6). The cumulative incidence of rifampin resistance was also similar between any mono-isoniazid regimens and rifamycin-containing regimens (0.11 cases per 100 people randomized, 95% CI 0.06 to 0.22 and 0.24 cases per 100 people randomized, 95% CI 0.07 to 0.81, respectively). For participants randomized to any mono-isoniazid regimens, isoniazid resistance was statistically significantly higher than the development of rifampin resistance. Cumulative incidence of drug resistance by study arm can be found in Table H in S1 File.

Table 6. Aggregate meta-analysis of the cumulative incidence of drug-resistant TB by aggregated TPT regimens.

Group	Number of studies	n/N	Pooled cumulative incidence of drug-resistant active TB per 100 people randomized (95% CI)	I²
Proportion of any resistance
6 to 12 H	11	27/6,441	0.42 (0.28 to 0.64)	12%
24 to 72 H	3	4/1,444	0.28 (0.1 to 0.74)	0%
Any mono-H	14	31/7,885	0.39 (0.27 to 0.57)	7%
Rifamycin containing	7	9/3,092	0.31 (0.12 to 0.77)	42%
Placebo or no treatment	7	16/2,796	0.22 (0.03 to 1.81)	87%
Proportion of resistance to H (including MDR)
6 to 12 H	11	24/6,441	0.39 (0.23 to 0.66)	39%
24 to 72 H	3	4/1,444	0.28 (0.1 to 0.74)	0%
Any mono-H	14	28/7,885	0.37 (0.24 to 0.57)	23%
Rifamycin containing	7	6/3,092	0.18 (0.05 to 0.69)	55%
Placebo or no treatment	7	12/2,796	0.2 (0.03 to 1.53)	84%
Proportion of resistance to Rif (including MDR)
6 to 12 H	11	6/6,441	0.09 (0.04 to 0.21)	0%
24 to 72 H	3	3/1,444	0.21 (0.07 to 0.64)	0%
Any mono-H	14	9/7,885	0.11 (0.06 to 0.22)	0%
Rifamycin containing	7	7/3,092	0.24 (0.07 to 0.81)	55%
Placebo or no treatment	7	6/2,796	0.21 (0.1 to 0.48)	0%

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Any mono-H includes 6 to 72 H; rifamycin-containing regimens include 3HR, 3HP, and 1HP; overall resistance includes all types of drug resistance reported in individual studies; not all studies carried out drug susceptibility testing for all first line anti-TB drugs. Results should be interpreted as follows: Among studies evaluating 6 to 12 H, there were 0.42 cases of drug-resistant TB per 100 people randomized.

CI, confidence interval; MDR, multidrug resistant, resistant to H and R; TB, tuberculosis; TPT, tuberculosis preventive therapy.

Ranking of TPT regimens, by each outcome, is presented in Table 7.

Table 7. Ranking of regimens for each outcome evaluated.

Treatment	P-score
Prevention of microbiologically confirmed TB
24 to 72H	0.84
Rifamycin containing	0.42
6 to 12H	0.35
Placebo	0.05
Prevention of microbiologically and clinically diagnosed TB	-
24 to 72H	0.83
Rifamycin containing	0.52
6 to 12H	0.45
Placebo	0.03
Prevention of all-cause mortality
Rifamycin containing	1
6 to 12H	0.37
24 to 72H	0.25
Placebo	0.21
Lowest risk of grade 3 or higher hepatotoxicity
Rifamycin containing	0.96
Placebo	0.59
6 to 12H	0.47
24 to 72H	0.01

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TB, tuberculosis.

The net heat plots for each outcome, by individual regimens, can be found in Figs C and D in S1 File. For the outcomes of microbiologically confirmed active TB and all-cause mortality, inconsistency appears to be low both within and between designs. However, for the outcome of grade 3 or worse hepatotoxicity, levels of inconsistency could not be evaluated due to low amount of information on between study heterogeneity.

Secondary analysis

Results from the stratified analysis (by posttreatment follow-up time and TB incidence in the study setting) for the outcomes of microbiologically confirmed active TB and all-cause mortality can be found in Tables I–L in S1 File. No significant differences were found between strata or the crude analysis, as confidence intervals overlap for direct, indirect, and NMA estimates. When looking at stratified analysis by posttreatment follow-up time, very few studies were included in the strata with no posttreatment follow-up for both the outcomes of microbiologically confirmed active TB and all-cause mortality; thus, confidence intervals are very wide. When stratifying by study setting TB incidence, no significant differences were found between strata. It is important to note that studies evaluating 24 to 72H were only carried out in settings with a TB incidence equal to or higher than 300 per 100,000 people. When studies were stratified on the basis of whether more, or less than 50% of participants had ever received ART, point estimates of the effect of aggregated regimens on mortality, and microbiologically confirmed TB were very similar in the 2 strata, although confidence intervals were wider, due to the smaller number of studies within each strata (Tables T and U in S1 File). When adjusted for proportion of study participants who had received ART, using meta-regression for NMA, the adjusted results for aggregated and individual regimens were very similar to the unadjusted results (Tables V–Y in S1 File).

Sensitivity analyses by individual TPT regimens (Tables M–P in S1 File) show similar results to the primary analyses. Thirty-six months of isoniazid was statistically significantly better at preventing microbiologically confirmed active TB when compared to 1HP, whereas 3HR was statistically significantly better at preventing all-cause mortality when compared to placebo or no treatment, 6H, and 36 H. For the outcome of all-cause mortality among rifamycin-containing regimens, when studies with high rates of ART were excluded [6], the protective effect of rifamycin-containing regimens remained unchanged (Table Q in S1 File).

In the stratified analysis by TST/IGRA status, the incidence of microbiologically confirmed or clinically diagnosed TB (Table R in S1 File) was statistically significantly lower among TST/IGRA positive PLHIV with 24 or 36H and with rifamycin-containing regimens when compared to placebo. However, for TST/IGRA negative or TST anergic PLHIV, there was no statistically significant difference in incidence with these TPT regimens compared to placebo.

Discussion

In this NMA of randomized trials of TPT in PLHIV, compared to mono-isoniazid regimens, rifamycin-containing regimens proved to be similarly effective in preventing microbiologically confirmed TB, statistically significantly more effective in preventing all-cause mortality, with lower rates of hepatotoxicity, without evidence of generating resistance to rifampin, and they were associated with higher completion rates when compared to longer regimens.

When initiating TPT in PLHIV, selection of the optimal regimen should be based on benefits, in terms of prevention of TB and mortality, potential harms including hepatotoxicity and development of drug resistance, and acceptability as indicated by treatment completion. This systematic review and NMA provides information on all these important outcomes of TPT in PLHIV. Additionally, by using an NMA approach, we were able to compare all TPT regimens currently recommended.

A major limitation to the interpretation of our results is the impact of potential confounding due to differences in posttreatment follow-up time and TB incidence in the study setting on the estimates of incidence of TB or all-cause mortality. A stratified analysis undertaken to address this confounding was limited by insufficient power within strata. An individual patient data meta-analysis may improve the control of bias created by these potential confounders.

Other limitations of the review include insufficient studies evaluating TPT regimens in pregnant women and children, thus limiting our findings’ generalizability to these 2 groups. Current guidelines recommend isoniazid-based regimens as well as 3HR for TPT in children of all ages living with HIV, while more information is still needed for 3HP in children under 2 years of age and for 1HP in children under 13 years of age [5,12]. Trials evaluating the use of rifamycin-based regimens in pregnant women with HIV are urgently needed given recent evidence of substantial toxicity of isoniazid during pregnancy in women with HIV [51].

Results from the NMA, indicating that rifamycin-containing regimens are better at preventing all-cause mortality compared to other regimens, are driven by the evidence from direct estimates. For example, in the study by Swindells and colleagues, there were 6 deaths in the 1HP group and 10 in the 9-month H group, with an incidence rate difference of –0.08. However, this was not statistically significant (log-rank test p-value: 0.31).

Although 96.3% of the study population had ever received ART in the study by Swindells and colleagues, in all other studies evaluating rifamycin-containing regimens, use of ART was either not reported or ranged from 0 to 31.3%. In a post hoc analysis excluding the study by Swindells and colleagues, rifamycin-containing regimens still showed lower rates of all-cause mortality. This suggests that the decrease in mortality shown by rifamycin-containing regimens is unlikely to be confounded by the use of ART. There is not an obvious reason as to why rifamycin-containing regimens reduce all-cause mortality, but not TB incidence, when compared to isoniazid. An individual patient meta-analysis evaluating daily INH with ART to ART alone found that the combined treatments did not have a statistically significant impact in reducing all-cause mortality when compared to ART alone [57]. However, rifamycin is a sterilizing drug, which may explain a bigger effect on preventing TB deaths. Unfortunately, most studies reported all-cause deaths; thus, we were not able to stratify results into TB-related or unrelated deaths.

In this analysis, there appears to be no difference between different grouped regimens in preventing microbiologically confirmed active TB or microbiologically and clinically diagnosed TB. A previous aggregate data meta-analysis comparing at least 36 months of H (prolonged H) to 6 H found that prolonged regimens were more effective in preventing TB [58]. However, in the studies that evaluated these prolonged isoniazid regimens, there was no posttreatment follow-up or this follow-up was for less than a year; thus, TB cases detected are only those that developed while on treatment or shortly after. Yet in our analysis, all studies evaluating rifamycin-containing regimens and almost all of 6 to 12H had posttreatment follow-up of more than a year. Another potential source for confounding was TB incidence in the study setting, as risk of reinfection is considerable in high TB incidence settings and has been cited as the main reason for recommending prolonged H regimens [12]. In the studies by Johnson and colleagues, Golub and colleagues, and Swindells and colleagues, shorter isoniazid and rifamycin-containing regimens have shown long-lasting protection against TB [6,33,59]. The first 2 studies were carried out in TB incidence settings of less than 300 per 100,000 people, Uganda (TB incidence 276 cases per 100,000 people at the time of the study)[60] and Brazil (Rio de Janeiro TB incidence 79.2 cases per 100,000 people as reported by the study), where protection offered through TPT appears to last from 3 to 7 years [33]. In the study by Swindells and colleagues, both 9 H and 1HP provided protection against TB for up to 5 years, in low to high TB incidence settings, perhaps reflecting the protection offered by high coverage with ART in that study population. Given that studies evaluating prolonged H regimens were carried out in high or very high TB incidence settings (Botswana TB incidence 598 per 100,000 people at the time of the study; South Africa TB incidence 963 per 100,000 people at the time of the study; and India TB incidence 285 per 100,000 people at the time of the study)[60] as well as having the shortest posttreatment follow-up time, the effects of these regimens on preventing microbiologically confirmed active TB are likely confounded. For shorter regimens with longer follow-up, the efficacy of TPT is possibly reduced by reinfection, whereas prolonged regimens were only evaluated for the duration of treatment. In our analysis, we addressed this issue by carrying out a stratified analysis, although as previously mentioned, we were unable to detect differences between strata given the lack of power.

In our analysis, incidence of all forms of TB was significantly lower among PLHIV with a positive TST/IGRA test who received prolonged H regimens or rifamycin-containing regimens when compared to placebo. This benefit was not seen among TST/IGRA negative or anergic individuals. Although inferences are limited as this analysis included only 6 trials, this finding is in accordance with a previous meta-analysis of treatment of LTBI among PLHIV [3] and reflects a higher risk of reactivation of TB among PLHIV with evidence of LTBI [61]. This finding reinforces the message that TST or IGRA are potentially useful to identify PLHIV at greater risk of disease [61], who will derive greater benefit from TPT while also identifying those with negative tests who will have lower likelihood of benefit, yet run the same risk of adverse events from TPT [51,62]. Current guidelines encourage testing for LTBI, while also stipulating that this should not become a barrier, hence is not an absolute requirement for initiating TPT among PLHIV [4].

Currently, WHO considers rifamycin-containing regimens (3HR and 3HP) as equally preferred as 6H or 9H, regardless of patients’ HIV status [12]. According to our results, rifamycin-containing regimens are as efficacious as 6 to 12H in preventing active TB, may be more effective in preventing death, and have a lower risk of liver toxicity. However, an important potential limitation of rifamycin-containing regimens among PLHIV is the risk of drug–drug interactions [12], particularly with ART. For example, a recent study in healthy volunteers using a combination of dolutegravir and rifapentine was stopped because of high rates of adverse drug reactions [63]. However, another recent study among PLHIV found that 3HP could be safely administered along with dolutegravir [64]. The combination of a rifamycin and efavirenz does not require dose adjustments [65]. Since the pharmacokinetics effects of anti-TB therapy on ART (and vice versa) are highly variable (often requiring dose adjustments), further consultation of updated resources is advised when prescribing rifamycin-containing regimens in PLHIV [65,66]. Drug costs for rifamycin-containing regimens may be greater than for isoniazid, but one study found that total health system costs (including personnel, lab costs, etc.) were lower with 4R than 6H or 9H in low-, middle- and high-income settings [67].

Regarding treatment rankings, it has been shown that treatment designs with higher uncertainty levels (wide confidence intervals) around the effect estimate are more likely to rank higher than designs with lower levels of uncertainty [68,69]. Given the differences between studies in size, risk of bias, use of ART at baseline, posttreatment follow-up, TB incidence in the study setting, and HIV standards of care, we considered that treatment rankings should be interpreted with caution. Other factors such as treatment costs and availability should be taken into consideration when choosing a treatment regimen.

Further trials with head-to-head comparisons of different rifamycin-containing short TPT regimens are needed to establish the optimal regimen for high TB incidence settings, for pregnant women and for children living with HIV. Information on treatment acceptability, tolerability, completion, and costs from these trials will help determine which rifamycin regimens should be selected for which populations and settings.

Conclusions

This systematic review and NMA provides evidence that rifamycin-containing regimens are as effective as mono-H regimens in preventing TB and statistically significantly better at preventing all-cause mortality, with significantly lower hepatotoxicity rates, and higher completion rates, without generating RIF resistance. The findings of this review support the recommendations by WHO and the CDC that rifamycin-containing regimens are acceptable for TPT in PLHIV.

Supporting information

S1 Data. Holds the information extracted from the original studies and used in our NMA.

NMA, network meta-analysis.

(XLSX)

Click here for additional data file.^{(591KB, xlsx)}

S1 File. Contains details of study methods (PRISMA checklist, Material A, and Tables A and B), a list of the excluded studies with reasons (Table C), and additional results (Tables D–Y and Figs A–D).

PRISMA: Checklist of items to include when reporting a systematic review involving an NMA. Material A: Search strategy. Table A: Information extracted in a predefined extraction sheet. Table B: Risk of bias assessment tool adapted from the Revised Cochrane risk-of-bias tool for randomized trials (RoB 2). Table C: Studies excluded after full-text review. Fig A: Risk of bias assessment of the included studies. Fig B: Network graph of TPT regimens for the outcome of incidence of microbiologically confirmed active TB. Table D: NMA of incidence of microbiologically confirmed active TB throughout study duration, by individual TPT regimens. Table E: NMA of incidence of all-cause mortality throughout study duration, by individual TPT regimens. Table F: NMA of risk of grade 3 or worse hepatotoxicity during treatment, by individual TPT regimens. Table G: Treatment completion of each study arm among all the included studies. Table H: Cumulative incidence of drug-resistant TB by treatment arm, among all the included studies. Fig C: Net heat plot of the NMA of incidence of microbiologically confirmed active TB, by individual TPT regimens. Fig D: Net heat plot of the NMA of incidence of all-cause mortality, by individual TPT regimens. Table I: Effect of aggregated TPT regimens on incidence of microbiologically confirmed active TB, stratified by length of posttreatment follow-up. Table J: Effect of aggregated TPT regimens on incidence of all-cause mortality, stratified by posttreatment follow-up time. Table K: Effect of aggregated TPT regimens on incidence of microbiologically confirmed active TB, stratified by study setting TB incidence. Table L: Effect of aggregated TPT regimens on incidence of all-cause mortality, stratified by study setting TB incidence. Table M: Effect of TPT regimens on incidence of microbiologically confirmed active TB, excluding studies with no follow-up or follow-up less than 1 year. Table N: Effect of TPT regimens on incidence of microbiologically confirmed active TB, excluding studies with a study setting TB incidence of more than 300 per 100,000. Table O: Effect of TPT regimens on incidence of all-cause mortality, excluding studies with no posttreatment follow-up or follow-up less than 1 year. Table P: Effect of TPT regimens on incidence of all-cause mortality, excluding studies with a study setting TB incidence of more than 300 per 100,000. Table Q: Effect of TPT regimens on incidence of all-cause mortality, excluding rifamycin-containing studies with a high rate of ART use. Table R: Effect of TPT regimens on incidence of microbiologically confirmed and clinically diagnosed TB, stratified by TST/IGRA status. Table S: Detailed information of completion rates, completion criteria and methods used to assess adherence to the TPT regimes of interest in the included studies. Table T: Effect of aggregated TPT regimens on incidence of all-cause mortality, stratified by the proportion of study participants receiving ART (above or below 50%). Table U: Effect of aggregated TPT regimens on incidence of microbiologically confirmed TB, stratified by the proportion of study participants receiving ART (above or below 50%). Table V: NMA of incidence of all-cause mortality throughout study duration, by aggregated TPT regimens and adjusted for the proportion of subjects receiving ART. Table W: NMA of incidence of microbiologically confirmed active TB throughout study duration, by aggregated TPT regimens and adjusted for the proportion of subjects receiving ART. Table X: NMA of all-cause mortality by individual TPT regimens adjusted for ever use of ART. Table Y: NMA of microbiologically confirmed TB by individual TPT regimens, adjusted for ever use of ART. ART, antiretroviral therapy; IGRA, interferon gamma release assay; NMA, network meta-analysis; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses; TB, tuberculosis; TPT, tuberculosis preventive therapy; TST, tuberculin skin test.

(DOCX)

Click here for additional data file.^{(290.2KB, docx)}

Abbreviations

ALT: alanine transaminase
ART: antiretroviral therapy
AST: aspartate transaminase
CDC: Centers for Disease Control and Prevention
IGRA: interferon gamma release assay
IQR: interquartile range
IRR: incidence rate ratio
LTBI: latent tuberculosis infection
NMA: network meta-analysis
PLHIV: people living with HIV
PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses
RCT: randomized controlled trial
RD: risk difference
TB: tuberculosis
TPT: tuberculosis preventive therapy
TST: tuberculin skin test
WHO: World Health Organization

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

This work was funded by the Bill & Melinda Gates Foundation (Grant Number INV-003634, received by DM). The initial study questions for the papers included in the PLOS Collection were drafted together with input from staff of the Bill & Melinda Gates Foundation, but they had no further role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

1.Gupta RK, Lucas SB, Fielding KL, Lawn SD. Prevalence of tuberculosis in post-mortem studies of HIV-infected adults and children in resource-limited settings: a systematic review and meta-analysis. AIDS. 2015;29(15):1987–2002. Epub 2015/08/13. doi: 10.1097/QAD.0000000000000802 ; PubMed Central PMCID: PMC4568896. [DOI] [PMC free article] [PubMed] [Google Scholar]
2.World Health Organization. Global tuberculosis report 2020. Geneva: 2020.
3.Akolo C, Adetifa I, Shepperd S, Volmink J. Treatment of latent tuberculosis infection in HIV infected persons. Cochrane Database Syst Rev. 2010;2010(1):Cd000171. Epub 2010/01/22. doi: 10.1002/14651858.CD000171.pub3; PubMed Central PMCID: PMC7043303 [DOI] [PMC free article] [PubMed] [Google Scholar]
4.World Health Organization. Latent TB Infection: Updated and consolidated guidelines for programmatic management. 2018. . [PubMed] [Google Scholar]
5.Sterling TR, Njie G, Zenner D, Cohn DL, Reves R, Ahmed A, et al. Guidelines for the Treatment of Latent Tuberculosis Infection: Recommendations from the National Tuberculosis Controllers Association and CDC, 2020. MMWR Recomm Rep. 2020;69(1):1–11. Epub 2020/02/14. doi: 10.15585/mmwr.rr6901a1 ; PubMed Central PMCID: PMC7041302 [DOI] [PMC free article] [PubMed] [Google Scholar]
6.Swindells S, Ramchandani R, Gupta A, Benson CA, Leon-Cruz J, Mwelase N, et al. One Month of Rifapentine plus Isoniazid to Prevent HIV-Related Tuberculosis. N Engl J Med 2019;380(11):1001–11. doi: 10.1056/NEJMoa1806808 . [DOI] [PMC free article] [PubMed] [Google Scholar]
7.Sterling TR, Scott NA, Miro JM, Calvet G, La Rosa A, Infante R, et al. Three months of weekly rifapentine and isoniazid for treatment of Mycobacterium tuberculosis infection in HIV-coinfected persons. AIDS. 2016;30(10):1607–15. doi: 10.1097/QAD.0000000000001098 00002030-201606190-00011. [DOI] [PMC free article] [PubMed] [Google Scholar]
8.Martinson NA, Barnes GL, Moulton LH, Msandiwa R, Hausler H, Ram M, et al. New regimens to prevent tuberculosis in adults with HIV infection. N Engl J Med. 2011;365(1):11–20. Epub 2011/07/08. doi: 10.1056/NEJMoa1005136 ; PubMed Central PMCID: PMC3407678. [DOI] [PMC free article] [PubMed] [Google Scholar]
9.Rivero A, López-Cortés L, Castillo R, Verdejo J, García MA, Martínez-Marcos FJ, et al. [Randomized clinical trial investigating three chemoprophylaxis regimens for latent tuberculosis infection in HIV-infected patients]. Enferm Infecc Microbiol Clin 2007;25(5):305–10. Epub 2007/05/17. doi: 10.1157/13102265 . [DOI] [PubMed] [Google Scholar]
10.Rivero A, López-Cortés L, Castillo R, Lozano F, García MA, Díez F, et al. [Randomized trial of three regimens to prevent tuberculosis in HIV-infected patients with anergy]. Enferm Infecc Microbiol Clin 2003;21(6):287–92. Epub 2003/06/18. doi: 10.1016/s0213-005x(03)72942-5 . [DOI] [PubMed] [Google Scholar]
11.Whalen CC, Johnson JL, Okwera A, Hom DL, Huebner R, Mugyenyi P, et al. A trial of three regimens to prevent tuberculosis in Ugandan adults infected with the human immunodeficiency virus. Uganda-Case Western Reserve University Research Collaboration. N Engl J Med 1997;337(12):801–8. Epub 1997/09/19. doi: 10.1056/NEJM199709183371201 . [DOI] [PubMed] [Google Scholar]
12.World Health Organization. WHO consolidated guidelines on tuberculosis. Module 1: prevention–tuberculosis preventive treatment. Geneva: 2020. [PubMed]
13.CDC. TB Treatment of Persons Living with HIV. CDC, 2020.
14.Pease C, Hutton B, Yazdi F, Wolfe D, Hamel C, Quach P, et al. Efficacy and completion rates of rifapentine and isoniazid (3HP) compared to other treatment regimens for latent tuberculosis infection: a systematic review with network meta-analyses. BMC Infect Dis. 2017;17(1):265. Epub 2017/04/13. doi: 10.1186/s12879-017-2377-x; PubMed Central PMCID: PMC5387294. [DOI] [PMC free article] [PubMed] [Google Scholar]
15.US Department of Health and Human Services. Division of AIDS (DAIDS) Table for Grading the Severity of Adult and Pediatric Adverse Events, Corrected Version 2.1. In: National Institute of Allergy and Infectious Diseases DoA, editor. US: National Institutes of Health; 2017. [Google Scholar]
16.Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ 2019;366:l4898. Epub 2019/08/30. doi: 10.1136/bmj.l4898. [DOI] [PubMed] [Google Scholar]
17.National Institute of Allergy and Infectious Diseases DoA. Division of AIDS (DAIDS) Table for Grading the Severity of Adult and Pediatric Adverse Events, Corrected Version 2.1. In: Services DoHaH, editor. US: National Institutes of Health; 2017. [Google Scholar]
18.Rücker G. Network meta-analysis, electrical networks and graph theory. Res Synth Methods. 2012;3 (4):312–24. doi: 10.1002/jrsm.1058 [DOI] [PubMed] [Google Scholar]
19.Kiefer C, Sturtz S, Bender R. A simulation study to compare different estimation approaches for network meta-analysis and corresponding methods to evaluate the consistency assumption. BMC Med Res Methodol. 2020;20(1):36. Epub 2020/02/26. doi: 10.1186/s12874-020-0917-3; PubMed Central PMCID: PMC7041240. [DOI] [PMC free article] [PubMed] [Google Scholar]
20.Krahn U, Binder H, König J. A graphical tool for locating inconsistency in network meta-analyses. BMC Med Res Methodol. 2013;13:35. Epub 2013/03/19. doi: 10.1186/1471-2288-13-35; PubMed Central PMCID: PMC3644268. [DOI] [PMC free article] [PubMed] [Google Scholar]
21.Rücker G, Schwarzer G. Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Med Res Methodol. 2015;15. doi: 10.1186/s12874-015-0060-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
22.Chaimani A CD, Li T, Higgins JPT, Salanti G. Chapter 11: Undertaking network meta-analyses. In: Cochrane, editor. Cochrane Handbook for Systematic Reviews of Interventions version 61 (updated September 2020) 2020. [Google Scholar]
23.Lumley T. Network meta-analysis for indirect treatment comparisons. Stat Med. 2002;21 (16):2313–24. doi: 10.1002/sim.1201 . [DOI] [PubMed] [Google Scholar]
24.Schwarzer G. General Package for Meta-Analysis. R package;4:15, ed2020–1.
25.Rücker GKU, König J, Efthimiou O, Schwarzer G. Network Meta-Analysis using Frequentist Methods. R package;1:2, ed2020–1.
26.Team RC. R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria: 2013. [Google Scholar]
27.Zar HJ, Cotton MF, Strauss S, Karpakis J, Hussey G, Schaaf HS, et al. Effect of isoniazid prophylaxis on mortality and incidence of tuberculosis in children with HIV: randomised controlled trial. BMJ. 2007;334(7585):136. Epub 2006/11/07. doi: 10.1136/bmj.39000.486400.55; PubMed Central PMCID: PMC1779846. [DOI] [PMC free article] [PubMed] [Google Scholar]
28.Gordin FM, Matts JP, Miller C, Brown LS, Hafner R, John SL, et al. A controlled trial of isoniazid in persons with anergy and human immunodeficiency virus infection who are at high risk for tuberculosis. Terry Beirn Community Programs for Clinical Research on AIDS. N Engl J Med 1997;337(5):315–20. Epub 1997/07/31. doi: 10.1056/NEJM199707313370505 . [DOI] [PubMed] [Google Scholar]
29.Martínez Alfaro EM, Cuadra F, Solera J, Maciá MA, Geijo P, Sánchez Martínez PA, et al. Evaluation of 2 tuberculosis chemoprophylaxis regimens in patients infected with human immunodeficiency virus. The GECMEI Group. Med Clin 2000;115(5):161–5. Epub 2000/09/21. doi: 10.1016/s0025-7753(00)71496-5 . [DOI] [PubMed] [Google Scholar]
30.Danel C, Moh R, Gabillard D, Badje A, Le Carrou J, Ouassa T, et al. A Trial of Early Antiretrovirals and Isoniazid Preventive Therapy in Africa. N Engl J Med 2015;373(9):808–22. Epub 2015/07/21. doi: 10.1056/NEJMoa1507198 . [DOI] [PubMed] [Google Scholar]
31.Badje A, Moh R, Gabillard D, Guéhi C, Kabran M, Ntakpé JB, et al. Effect of isoniazid preventive therapy on risk of death in west African, HIV-infected adults with high CD4 cell counts: long-term follow-up of the Temprano ANRS 12136 trial. Lancet Glob Health 2017;5(11):e1080–e9. Epub 2017/10/14. doi: 10.1016/S2214-109X(17)30372-8 . [DOI] [PubMed] [Google Scholar]
32.Fitzgerald DW, Severe P, Joseph P, Mellon LR, Noel E, Johnson WD Jr., et al. No effect of isoniazid prophylaxis for purified protein derivative-negative HIV-infected adults living in a country with endemic tuberculosis: results of a randomized trial. J Acquir Immune Defic Syndr 2001;28(3):305–7. Epub 2001/11/06. doi: 10.1097/00042560-200111010-00018 . [DOI] [PubMed] [Google Scholar]
33.Johnson JL, Okwera A, Hom DL, Mayanja H, Mutuluuza Kityo C, Nsubuga P, et al. Duration of efficacy of treatment of latent tuberculosis infection in HIV-infected adults. AIDS 2001;15(16):2137–47. Epub 2001/10/31. doi: 10.1097/00002030-200111090-00009 . [DOI] [PubMed] [Google Scholar]
34.Hawken MP, Meme HK, Elliott LC, Chakaya JM, Morris JS, Githui WA, et al. Isoniazid preventive therapy for tuberculosis in HIV-1-infected adults: results of a randomized controlled trial. AIDS 1997;11(7):875–82. Epub 1997/06/01. doi: 10.1097/00002030-199707000-00006 . [DOI] [PubMed] [Google Scholar]
35.Samandari T, Agizew TB, Nyirenda S, Tedla Z, Sibanda T, Mosimaneotsile B, et al. Tuberculosis incidence after 36 months’ isoniazid prophylaxis in HIV-infected adults in Botswana: a posttrial observational analysis. AIDS. 2015;29(3):351–9. Epub 2015/02/18. doi: 10.1097/QAD.0000000000000535 ; PubMed Central PMCID: PMC5131631. [DOI] [PMC free article] [PubMed] [Google Scholar]
36.Samandari T, Agizew TB, Nyirenda S, Tedla Z, Sibanda T, Shang N, et al. 6-month versus 36-month isoniazid preventive treatment for tuberculosis in adults with HIV infection in Botswana: a randomised, double-blind, placebo-controlled trial. Lancet 2011;377(9777):1588–98. Epub 2011/04/16. doi: 10.1016/S0140-6736(11)60204-3 . [DOI] [PubMed] [Google Scholar]
37.Rangaka MX, Wilkinson RJ, Boulle A, Glynn JR, Fielding K, van Cutsem G, et al. Isoniazid plus antiretroviral therapy to prevent tuberculosis: a randomised double-blind, placebo-controlled trial. Lancet. 2014;384(9944):682–90. Epub 2014/05/20. doi: 10.1016/S0140-6736(14)60162-8 ; PubMed Central PMCID: PMC4233253. [DOI] [PMC free article] [PubMed] [Google Scholar]
38.Madhi SA, Nachman S, Violari A, Kim S, Cotton MF, Bobat R, et al. Primary isoniazid prophylaxis against tuberculosis in HIV-exposed children. N Engl J Med. 2011;365(1):21–31. Epub 2011/07/08. doi: 10.1056/NEJMoa1011214 ; PubMed Central PMCID: PMC3164539. [DOI] [PMC free article] [PubMed] [Google Scholar]
39.Gordin FM, Cohn DL, Matts JP, Chaisson RE, Brien RJ. Terry Beirn Community Programs for Clinical Research on AIDS, the Adult AIDS Clinical Trials Group, and the Centers for Disease Control and Prevention. Hepatotoxicity of rifampin and pyrazinamide in the treatment of latent tuberculosis infection in HIV-infected persons: is it different than in HIV-uninfected persons? Clin Infect Dis. 2004;39:561–5. doi: 10.1086/422724 [DOI] [PubMed] [Google Scholar]
40.Gordin F, Chaisson RE, Matts JP, Miller C, de Lourdes Garcia M, Hafner R, et al. Rifampin and pyrazinamide vs isoniazid for prevention of tuberculosis in HIV-infected persons: an international randomized trial. Terry Beirn Community Programs for Clinical Research on AIDS, the Adult AIDS Clinical Trials Group, the Pan American Health Organization, and the Centers for Disease Control and Prevention Study Group. JAMA. 2000;283(11):1445–50. Epub 2000/03/25. doi: 10.1001/jama.283.11.1445 . [DOI] [PubMed] [Google Scholar]
41.Quigley MA, Mwinga A, Hosp M, Lisse I, Fuchs D, Porter JDH, et al. Long-term effect of preventive therapy for tuberculosis in a cohort of HIV-infected Zambian adults. AIDS. 2001;15 (2):215–22. doi: 10.1097/00002030-200101260-00011 [DOI] [PubMed] [Google Scholar]
42.Mwinga A, Hosp M, Godfrey-Faussett P, Quigley M, Mwaba P, Mugala BN, et al. Twice weekly tuberculosis preventive therapy in HIV infection in Zambia. AIDS. 1998;12 (18):2447–57. doi: 10.1097/00002030-199818000-00014 [DOI] [PubMed] [Google Scholar]
43.Mohammed A, Myer L, Ehrlich R, Wood R, Cilliers F, Maartens G. Randomised controlled trial of isoniazid preventive therapy in South African adults with advanced HIV disease. Int J Tuberc Lung Dis. 2007;11 (10):1114–20. [PubMed] [Google Scholar]
44.Halsey NA, Coverly JS, Desormeaux J, Losikoff P, Atkinson J, Moulton LH, et al. Randomised trial of isoniazid versus rifampicin and pyrazinamide for prevention of tuberculosis in HIV-1 infection. Lancet. 1998;351 (9105):786–92. doi: 10.1016/S0140-6736(97)06532-X [DOI] [PubMed] [Google Scholar]
45.Portilla J, Jordá P, Esteban J, Sánchez-Payá J, Merino E, Boix V, et al. Directly observed treatment of latent tuberculosis infection: comparative study of two isoniazid regimens. Enferm Infecc Microbiol Clin. 2003;21 (6):293–5. doi: 10.1016/s0213-005x(03)72943-7 [DOI] [PubMed] [Google Scholar]
46.Matteelli A, Ollioaro P, Signorini L, Cadeo G, Scalzini A, Bonazzi L, et al. Tolerability of twice-weekly rifabutin-isoniazid combinations versus daily isoniazid for latent tuberculosis in HIV-infected subjects: a pilot study. Int J Tuberc Lung Dis. 1999;3 (11):1043–6. [PubMed] [Google Scholar]
47.Swaminathan S, Menon PA, Gopalan N, Perumal V, Santhanakrishnan RK, Ramachandran R, et al. Efficacy of a six-month versus a 36-month regimen for prevention of tuberculosis in HIV-infected persons in India: a randomized clinical trial. PLoS ONE. 2012;7(12). Epub 2012 Dec 14. doi: 10.1371/journal.pone.0047400 [DOI] [PMC free article] [PubMed] [Google Scholar]
48.Hosseinipour MC, Bisson GP, Miyahara S, Sun X, Moses A, Riviere C, et al. Empirical tuberculosis therapy versus isoniazid in adult outpatients with advanced HIV initiating antiretroviral therapy (REMEMBER): a multicountry open-label randomised controlled trial. Lancet. 2016;387 (10024):1198–209. doi: 10.1016/S0140-6736(16)00546-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
49.Bisson GP, Ramchandani R, Miyahara S, Mngqibisa R, Matoga M, Ngongondo M, et al. Risk factors for early mortality on antiretroviral therapy in advanced HIV-infected adults. AIDS. 2017;31 (16):2217–25. doi: 10.1097/QAD.0000000000001606 [DOI] [PMC free article] [PubMed] [Google Scholar]
50.Ngongondo M, Miyahara S, Hughes MD, Sun X, Bisson GP, Gupta A, et al. Hepatotoxicity During Isoniazid Preventive Therapy and Antiretroviral Therapy in People Living With HIV With Severe Immunosuppression: A Secondary Analysis of a Multi-Country Open-Label Randomized Controlled Clinical Trial. J Acquir Immune Defic Syndr. 2018;78 (1):54–61. doi: 10.1097/QAI.0000000000001641 [DOI] [PMC free article] [PubMed] [Google Scholar]
51.Gupta A, Montepiedra G, Aaron L, Theron G, McCarthy K, Bradford S, et al. Isoniazid Preventive Therapy in HIV-Infected Pregnant and Postpartum Women. N Engl J Med 2019;381(14):1333–46. doi: 10.1056/NEJMoa1813060 . [DOI] [PMC free article] [PubMed] [Google Scholar]
52.Hakim J, Musiime V, Szubert AJ, Mallewa J, Siika A, Agutu C, et al. Enhanced Prophylaxis plus Antiretroviral Therapy for Advanced HIV Infection in Africa. N Engl J Med. 2017;377 (3):233–45. doi: 10.1056/NEJMoa1615822 [DOI] [PMC free article] [PubMed] [Google Scholar]
53.Post FA, Szubert AJ, Prendergast AJ, Johnston V, Lyall H, Fitzgerald F, et al. Causes and Timing of Mortality and Morbidity Among Late Presenters Starting Antiretroviral Therapy in the REALITY Trial. Clin Infect Dis. 2018;66 (suppl_2):S132–S9. doi: 10.1093/cid/cix1141 [DOI] [PMC free article] [PubMed] [Google Scholar]
54.Sanchez F, Balagué M, Hernandez P, López-Colomés JL, García de Olalla P, García Vidal J, et al. Treatment of latent tuberculosis infection in injecting drug users co-infected by HIV. Enf Emerg. 2002;4:62–5. [Google Scholar]
55.Pape JW, Jean SS, Ho JL, Hafner A, Johnson WD. Effect of isoniazid prophylaxis on incidence of active tuberculosis and progression of HIV infection. Lancet. 1993;342:268–72. doi: 10.1016/0140-6736(93)91817-6 [DOI] [PubMed] [Google Scholar]
56.Gray DM, Workman LJ, Lombard CJ, Jennings T, Innes S, Grobbelaar CJ. Isoniazid preventive therapy in HIV-infected children on antiretroviral therapy: a pilot study. Int J Tuberc Lung Dis. 2014;18:322–7. doi: 10.5588/ijtld.13.0354 [DOI] [PubMed] [Google Scholar]
57.Ross JM, Badje A, Rangaka MX, Walker AS, Shapiro AE, Thomas KK, et al. Isoniazid preventive therapy plus antiretroviral therapy for the prevention of tuberculosis: a systematic review and meta-analysis of individual participant data. Lancet HIV. 2021;8 (1):e8–e15. doi: 10.1016/S2352-3018(20)30299-X ; PubMed Central PMCID: PMC7875572. [DOI] [PMC free article] [PubMed] [Google Scholar]
58.Den Boon S, Matteelli A, Ford N, Getahun H. Continuous isoniazid for the treatment of latent tuberculosis infection in people living with HIV. AIDS. 2016;30(5):797–801. Epub 2016/01/06. doi: 10.1097/QAD.0000000000000985 ; PubMed Central PMCID: PMC5642844. [DOI] [PMC free article] [PubMed] [Google Scholar]
59.Golub JE, Cohn S, Saraceni V, Cavalcante SC, Pacheco AG, Moulton LH, et al. Long-term protection from isoniazid preventive therapy for tuberculosis in HIV-infected patients in a medium-burden tuberculosis setting: the TB/HIV in Rio (THRio) study. Clin Infect Dis. 2015;60(4):639–45. Epub 2014/11/05. doi: 10.1093/cid/ciu849 ; PubMed Central PMCID: PMC4366579. [DOI] [PMC free article] [PubMed] [Google Scholar]
60.World Health Organization. WHO TB burden estimates. Geneva 2020.
61.Campbell JR, Winters N, Menzies D. Absolute risk of tuberculosis among untreated populations with a positive tuberculin skin test or interferon-gamma release assay result: systematic review and meta-analysis. BMJ (Clinical research ed). 2020;368:m549. Epub 2020/03/12. doi: 10.1136/bmj.m549; PubMed Central PMCID: PMC7190060 [DOI] [PMC free article] [PubMed] [Google Scholar]
62.Campbell JR, Al-Jahdali H, Bah B, Belo M, Cook VJ, Long R, et al. Safety and Efficacy of Rifampin or Isoniazid Among People With Mycobacterium tuberculosis Infection and Living With Human Immunodeficiency Virus or Other Health Conditions: Post Hoc Analysis of 2 Randomized Trials. Clin Infect Dis. 2020. doi: 10.1093/cid/ciaa1169 [DOI] [PMC free article] [PubMed] [Google Scholar]
63.Brooks KM, George JM, Pau AK, Rupert A, Mehaffy C, De P, et al. Cytokine-Mediated Systemic Adverse Drug Reactions in a Drug-Drug Interaction Study of Dolutegravir With Once-Weekly Isoniazid and Rifapentine. Clin Infect Dis. 2018;67 (2):193–201. doi: 10.1093/cid/ciy082 [DOI] [PMC free article] [PubMed] [Google Scholar]
64.Dooley K., Churchyard G., Savic R., Gupte A., Marzinke M., Zhang N., et al. Safety & PK of weekly rifapentine/isoniazid (3HP) in adults with HIV on dolutegravir. Conference on Retroviruses and Opportunistic Infections; Washington 2019. Available at: https://www.croiconference.org/abstract/safety-pk-weekly-rifapentineisoniazid-3hp-adults-hiv-dolutegravir/. Accessed June 2021.
65.Panel on Antiretroviral Guidelines for Adults and Adolescents. Guidelines for the Use of Antiretroviral Agents in Adults and Adolescents with HIV. Department of Health and Human Services. Available at https://clinicalinfo.hiv.gov/sites/default/files/guidelines/documents/AdultandAdolescentGL.pdf. Accessed February 2021.
66.Jacobs TG, Svensson EM, Musiime V, Rojo P, Dooley KE, McIlleron H, et al. Pharmacokinetics of antiretroviral and tuberculosis drugs in children with HIV/TB co-infection: a systematic review. J Antimicrob Chemother. 2020;75 (12):3433–57. doi: 10.1093/jac/dkaa328 [DOI] [PMC free article] [PubMed] [Google Scholar]
67.Bastos ML, Campbell JR, Oxlade O, Adjobimey M, Trajman A, Ruslami R, et al. Health System Costs of Treating Latent Tuberculosis Infection With Four Months of Rifampin Versus Nine Months of Isoniazid in Different Settings. Ann Intern Med. 2020;173 (3):169–78. doi: 10.7326/M19-3741 [DOI] [PubMed] [Google Scholar]
68.Mbuagbaw L, Rochwerg B, Jaeschke R, Heels-Andsell D, Alhazzani W, Thabane L, et al. Approaches to interpreting and choosing the best treatments in network meta-analyses. Syst Rev. 2017;6(1):79. Epub 2017/04/14. doi: 10.1186/s13643-017-0473-z; PubMed Central PMCID: PMC5389085. [DOI] [PMC free article] [PubMed] [Google Scholar]
69.Jansen JP, Trikalinos T, Cappelleri JC, Daw J, Andes S, Eldessouki R, et al. Indirect treatment comparison/network meta-analysis study questionnaire to assess relevance and credibility to inform health care decision making: an ISPOR-AMCP-NPC Good Practice Task Force report. Value Health 2014;17(2):157–73. Epub 2014/03/19. doi: 10.1016/j.jval.2014.01.004 . [DOI] [PubMed] [Google Scholar]

PLoS Med. doi: 10.1371/journal.pmed.1003738.r001

Decision Letter 0

Thomas J McBride

6 Jan 2021

Dear Dr Menzies,

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PLoS Med. doi: 10.1371/journal.pmed.1003738.r002

Decision Letter 1

Raffaella Bosurgi

17 Feb 2021

Dear Dr. Menzies,

Thank you very much for submitting your manuscript "Tuberculosis Preventive Therapy for People Living with HIV: A Systematic Review and Network Meta-analysis" (PMEDICINE-D-20-06010R1) for consideration at PLOS Medicine.

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Requests from the editors:

Comments from the reviewers:

Reviewer #1: Thank you for the opportunity to review this paper. I note that I am not a statistician and I recommend that a statistical reviewer also looks at this piece. This manuscript presents a further network meta-analysis (NMA) of difference treatments for latent tuberculosis infection (LTBI), this time focused on people living with HIV (PLHIV). The authors' emphasis on the value of rifamycin-containing regimens is overly strongly expressed at various points in the piece, considering the weight of the evidence presented and the fact that much of it is from rifampin-containing regimens, which are contraindicated by drug-drug interactions in PLHIV. Sadly, rifapentine-containing regimens, which the authors drift towards in the discussion, are out of reach in terms of cost in high-HIV and TB burden settings. As the World Health Organization's (WHO)'s recommendation is that 6 months of isoniazid is the standard of care for such individuals, the author's current grouping of 6-12 month isoniazid regimens together limits the use of their work for revising these guidelines. Indeed, WHO recommends that this six month regimen is used for both PLHIV and those who are HIV negative; in this context the author's emphasis on the use of rifamycin-containing regimens specifically among people for whom drug-drug interactions are of concern reads oddly without further discussion.

MAJOR

ABSTRACT

1) Consistency of baseline- it would aid the reader if all comparisons were made to one baseline regimen (see comment on baselines later), such that a better feel for the results can be obtained. At the moment, it is very hard to see how the results feed into the sentence 'Rifamycin-containing regimens appear safer and at least as effective as isoniazid regimens in preventing TB and death and should be considered part of routine care in PLHIV' due to this inconsistency.

INTRODUCTION

1) Line 40- you state that WHO 'considers six months of isoniazid as the preferred TPT regimen for PLHIV'; it is worth noting here that WHO does not differentiate their recommendation by HIV status. (Additionally, please record a) WHO's recommendation of 36 months of isoniazid preventative therapy (IPT) among PLHIV in high incidence and transmission settings for TB (which ties into your sentence on line 42) and b) WHO's statement that 'Rifampin- and rifapentine-containing regimens should be prescribed with caution to people living with HIV who are on ART because of potential drug-drug interactions'.)

2) One of the selling points that the authors state in the cover letter for this piece is that 'the network meta-analysis is also novel, as prior reviews have conducted more traditional meta-analyses'. In fact, several NMAs have been conducted of treatment regimens for LTBI (they are a very established technique) e.g. Pease BMC ID 2017, Zenner Ann Intern Med 2017, Stagg Ann Intern Med 2014. The authors should cite these papers in the introduction of their paper, as they provide methodological precedence for their work as they narrow down the population of interest to people living with HIV.

3) Given the two points above, the others also need to clearly define the need for a new NMA specifically among HIV positive individuals.

METHODS

4) Line 72- Please clearly define your population of interest- were studies in children included? How did you set criteria around whether participants had definite LTBI?

5) Line 78- 'Studies were excluded if there was no direct comparison of interest or if the only comparison included regimens using pyrazinamide and/or ethambutol as they are no longer recommended for TPT.' Regimens that are no longer of interest can provide important information in sparse data networks within NMAs, even if you would not consider the regimen itself as a treatment. Please justify the exclusion of these studies in this light.

6) Line 86- you state that you adapted the Rob2 tool- please say how and why.

7) Line 93- 'A study was classified as low risk of bias when there was low risk in the randomization process and low risk in at least two of the four remaining domains. If these conditions were not met, a study was considered at high risk of bias.' Please state if this is the normal approach for Rob2 and, if not, why you chose this approach.

8) Line 118- was the decision to run a random effects analysis made a priori? What was the decision-making behind this?

9) Line 118- as this is a medical journal, please explain the graph-theoretical approach to NMAs (and justify this choice of a frequentist approach, as opposed to a Bayesian one) and net heat plot method.

RESULTS

10) 5 full texts not available is quite substantial given that you only included 15 trials. What size were these studies and what regimens did they examine (are they in table S3?)

11) Figure 2- this figure was too fuzzy to read within the submission.

12) Table 1- 5 out of your 15 studies had either no-one confirmed as LTBI positive or less than 10%. A further 5 had less than 50%. This is a large concern when it comes to your findings.

13) S2 Fig- how does this map to the groupings under my query about line 145?

14) Given that the WHO recommends 6 months of isoniazid at the standard of care treatment and the sizeable number of trials using this regimen, I would strongly recommend making this the baseline throughout your analyses, rather than a mixed grouping.

15) Table 2- Your estimate for the efficacy of 6 to 12 H at preventing active TB vs Placebo is in itself quite uncertain- 0.8 (0.5 to 1.1). How do you explain this?

16) Table 3- can you hypothesize why none of the isoniazid regimens are effective against all-cause mortality and the implications of this for interpreting your isoniazid result? How good is rifamycin at preventing death in comparison to 6 month isoniazid regimens in studies where ART use was high (i.e. the reverse analysis of S17 table- see comment regarding line 357)? In terms of the rifamycin vs. 6-12m isoniazid result, what does this relative rate translate to in terms of absolute rates?

17) You chose not to calculate ranks within your analyses, but as a matter of interest how did rifamycin-containing regimens rank throughout?

DISCUSSION

18) Line 332- 'higher completion rates'- this is not substantiated by the data. Shorter regimens have higher completion rates, but not specifically rifamycin-containing ones.

19) Line 357- pleas state Swindells' result regarding the risk of death for isoniazid and rifampin-containing regimens.

20) Line 404- greater depth as to the fact that WHO does not recommend rifamycin-containing regimens in people living in HIV is required here. Please start by describing this and state the context of these concerns for rifampin, noting that most of your data is from rifampin-containing regimens. Given the frequency of use of these affected ART regimens globally, the lack of ability in many settings where TB-HIV is particularly common to alter the dose of ART, and the cost of rifapentine vs. rifampin please caveat the real-world applicability of your findings.

21) Line 416- 'Given this, rifamycin-containing regimens should be considered the regimens of choice for TPT in PLHIV.' This statement is very strong in light of how much of your data comes from rifampin trials, the uncertainty around the impact of rifapentine containing regimens on mortality from table S5, and the concerns about rifampin and ARTs. Please alter.

SUPPLEMENTS

22) Supplementary Material A- why did you search for 'LTBI therapy' etc. but not spell out latent tuberculosis (latent tuberculosis infection, latent TB, latent TB infection)? This could have been a source of missing studies. It would been easier to have used rows 10 to 18 as treatment terms only without need to specify LTBI in here (given that you did so as an independent item in rows 2 and 4).

23) Supplementary Material A- given that all trials of LTBI therapy will have examined at least one of your outcomes of interest, why did you include rows 20-25 of your search? As these terms are not always explicit in titles, abstracts, and key words, this could have led to missing studies.

MINOR

ABSTRACT

24) The authors repeatedly use the word 'significantly' throughout the text. Use of this word should be made cautiously given potential confusion between the colloquial and the statistical. In the latter case, use of p-value thresholds alone to mark out important results for causal analyses has largely been debunked; relative effect sizes, confidence intervals and sample size should all be interpreted together.

METHODS

25) Cochrane Database of Systematic Reviews- why did you choose to search a database of reviews, as opposed to a database of trials?

26) The authors should check that their manuscript lines up against the PRISMA guidelines for NMAs, rather than the standard PRISMA guidelines.

27) Line 145- 'mono-H (6 to 72 months of H), 6 to 12 months of H, 24 to 72 months of H, and rifamycin-containing regimens (3HR, 3HP, and 1HP).' This sentence is unclear as the first grouping overlaps with the subsequent two.

28) Line 161- stRAtified.

RESULTS

29) Line 318- were, not where.

SUPPLEMENTS

30) Supplementary Material A- please number the rows of your search so the AND and OR rows make sense.

31) S2 Table- please define N (I assume this is no) and PN.

Reviewer #2: See attachment

Michael Dewey

Reviewer #3: Thank you for the opportunity to review this important piece of work.

a) Line 51. Are you comparing phase III clinical trial efficacy or effectiveness (real conditions)? What degree of "pragmatism" do they have? In line 58 you say you exclude observational studies.

b) Line 63. Why was clinical TB initially excluded? Should it be specified upfront in the protocol as primary and secondary endpoints (lab confirmed and treatment initiation, respectively). Could you still do that? Could you include table S18 within the main manuscript?

c) Line 105. Do you think all-cause mortality an important outcome? Do you think that differences in mortality, when found, could be attributed to the regimen used? Could you expand the discussion a little bit on line 353 (I wonder why there is no difference in efficacy when using ryfamicin-based regimens, but there is on mortality).

d) Line 111. It would be nice to have a table with all the different measures of adherence used in the studies (supp material is fine).

e) How would the frequency of visits, or screening for TB to all participants might have changed the efficacy of the different regimens? How did you account for different PT duration follow up?

f) Line 161, Typo "stratified".

g) Table 1. Could you include the definition of the primary efficacy endpoint of each trial?

h) Table 2. Could you include the references of studies included for each comparison (all tables)? For studies including composite endpoints, like Swindells' 1HP, did you exclude the clinically diagnosed participants?

i) Table 3. Here I understand you are you including all studies independently of the ART status/CD4 count status. Related comment: Line 357. I understand that % or ART among arms is similar if only RCT were included. Your explanation on its role as confounder should contradict an even distribution of participants on ART. Am I interpreting correctly?

j) No comments in the discussion about the efficacy of PTs when outcomes include clinical TB diagnosis (stemming from table S18)

k) Fig 2's quality is too low to be interpreted.

Any attachments provided with reviews can be seen via the following link:

[LINK]

Attachment

Submitted filename: yaneslane.pdf

Click here for additional data file.^{(61.3KB, pdf)}

PLoS Med. 2021 Sep 14;18(9):e1003738. doi: 10.1371/journal.pmed.1003738.r003

Author response to Decision Letter 1

31 Mar 2021

Attachment

Submitted filename: NMAofTPTinPLHIV ResponseToReviewers R1.docx

Click here for additional data file.^{(51.4KB, docx)}

PLoS Med. doi: 10.1371/journal.pmed.1003738.r004

Decision Letter 2

Richard Turner

9 Jun 2021

Dear Dr. Menzies,

Thank you very much for re-submitting your manuscript "Tuberculosis Preventive Therapy for People Living with HIV: A Systematic Review and Network Meta-analysis" (PMEDICINE-D-20-06010R2) for consideration at PLOS Medicine.

I have discussed the paper with editorial colleagues and our academic editor, and it was also seen again by two reviewers. I am pleased to tell you that, provided the remaining editorial and production issues are fully dealt with, we expect to be able to accept the paper for publication in the journal.

The remaining issues that need to be addressed are listed at the end of this email. Any accompanying reviewer attachments can be seen via the link below. Please take these into account before resubmitting your manuscript:

[LINK]

In revising the manuscript for further consideration here, please ensure you address the specific points made by each reviewer and the editors. In your rebuttal letter you should indicate your response to the reviewers' and editors' comments and the changes you have made in the manuscript. Please submit a clean version of the paper as the main article file. A version with changes marked must also be uploaded as a marked up manuscript file.

Please also check the guidelines for revised papers at http://journals.plos.org/plosmedicine/s/revising-your-manuscript for any that apply to your paper. If you haven't already, we ask that you provide a short, non-technical Author Summary of your research to make findings accessible to a wide audience that includes both scientists and non-scientists. The Author Summary should immediately follow the Abstract in your revised manuscript. This text is subject to editorial change and should be distinct from the scientific abstract.

We hope to receive your revised manuscript within 1 week. Please email us (plosmedicine@plos.org) if you have any questions or concerns.

We ask every co-author listed on the manuscript to fill in a contributing author statement. If any of the co-authors have not filled in the statement, we will remind them to do so when the paper is revised. If all statements are not completed in a timely fashion this could hold up the re-review process. Should there be a problem getting one of your co-authors to fill in a statement we will be in contact. YOU MUST NOT ADD OR REMOVE AUTHORS UNLESS YOU HAVE ALERTED THE EDITOR HANDLING THE MANUSCRIPT TO THE CHANGE AND THEY SPECIFICALLY HAVE AGREED TO IT.

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript.

Please note, when your manuscript is accepted, an uncorrected proof of your manuscript will be published online ahead of the final version, unless you've already opted out via the online submission form. If, for any reason, you do not want an earlier version of your manuscript published online or are unsure if you have already indicated as such, please let the journal staff know immediately at plosmedicine@plos.org.

Please let me know if you have any questions, and we look forward to receiving the revised manuscript.

Sincerely,

Richard Turner, PhD

Senior Editor, PLOS Medicine

rturner@plos.org

------------------------------------------------------------

Requests from Editors:

Please submit your revision as a research article.

Please ensure that you comply with PLOS' data policy (https://journals.plos.org/plosmedicine/s/data-availability) in your revision.

Please remove the information on funding from the title page. In the event of publication this information will appear in the article metadata, via entries in the submission form.

In the abstract and throughout the text, please quote p values alongside 95% CI, where available.

Please add a new final sentence to the "Methods and findings" subsection of your abstract, beginning "Study limitations include ..." or similar and quoting 2-3 of the study's main limitations.

After the abstract, please add a new and accessible "author summary" in non-identical prose. You may find it helpful to consult one or two recent research papers published in PLOS Medicine to get a sense of the preferred style.

Please remove the "Role of the funding source" section, noting the comment above.

Please use the style "... 12 clinical trials" throughout the text, although numbers should be spelt out at the start of sentences.

Throughout the text, please restyle the reference call-outs as follows: "... darunavir) [12,13]." (i.e., preceding punctuation and with no spaces within the square brackets).

Noting reference 3 and others, please ensure that competing interest information is removed from all citations.

Is reference 4 lacking a report number?

Are references 19 and 50 lacking journal names? Reference 53 may also need attention.

Please reformat the author lists for references 40 and 42.

Reference 63 may need additional access information.

Please abbreviate journal names consistently in the reference list, and use the abbreviation "PLoS ONE".

Please rename the PRISMA attachment "S1_PRISMA_Checklist" or similar, and refer to it by this label in the Methods section.

In the checklist, please refer to individual items by section (e.g., "Methods") and paragraph numbers, not line or page numbers as these generally change in the event of publication.

Comments from Reviewers:

*** Reviewer #2:

The authors have addressed all my points

Michael Dewey

*** Reviewer #3:

I think all comments have been addressed. I am satisfied with the changes implemented /answers. Congratulations for this important piece of work.

***

Any attachments provided with reviews can be seen via the following link:

[LINK]

PLoS Med. 2021 Sep 14;18(9):e1003738. doi: 10.1371/journal.pmed.1003738.r005

Author response to Decision Letter 2

16 Jun 2021

Attachment

Submitted filename: Response to reviewers_R2.docx

Click here for additional data file.^{(17.1KB, docx)}

PLoS Med. doi: 10.1371/journal.pmed.1003738.r006

Decision Letter 3

Richard Turner

19 Jun 2021

Dear Dr. Menzies,

I have discussed the paper with editorial colleagues and our academic editor, and we will need to ask you to address some additional points before we are able to proceed further.

[LINK]

We hope to receive your revised manuscript within 2 weeks. Please email us (plosmedicine@plos.org) if you have any questions or concerns.

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

Please let me know if you have any questions, and we look forward to receiving the revised manuscript.

Sincerely,

Richard Turner, PhD

Senior Editor, PLOS Medicine

rturner@plos.org

------------------------------------------------------------

*** Requests from Editors:

Please add a sentence, say, to the abstract to summarize study characteristics, e.g., median sample sizes and regions where the studies were done.

Throughout the text, please remove spaces from the reference call-outs (e.g., "... PLHIV [63,64].").

We suggest using the spelling "graphically" (Methods).

At line 132, should that be "... did not compare 2 or more ..."?

Please remove trademarks, e.g., at line 163.

Please spell out the author names for reference 38, and any other relevant references.

Please use the journal name abbreviation "PLoS ONE".

*** Comments from Academic editor:

It has come to our attention that a published systematic review and meta-analysis focused on IPT for PLHIV on ART (Ross et al, Lancet ID https://www.thelancet.com/journals/lanhiv/article/PIIS2352-3018(20)30299-X/fulltext). We did not see this cited in your article.

Your NMA of different regimens is welcome and a contribution to the literature, but we wonder whether there is effect modification due to ART status and suspect many of our readers will wonder the same given that the included data features cohorts not receiving ART from the pre-ART era, which is no longer the clinical norm. We therefore ask that you investigate the prospect of effect modification due to ART formally, presenting those findings in the MS, and if appropriate presenting separate effect estimates based on ART status.

***

PLoS Med. 2021 Sep 14;18(9):e1003738. doi: 10.1371/journal.pmed.1003738.r007

Author response to Decision Letter 3

25 Jun 2021

Attachment

Submitted filename: NMA REsponseToReviewers R4.docx

Click here for additional data file.^{(65.8KB, docx)}

PLoS Med. doi: 10.1371/journal.pmed.1003738.r008

Decision Letter 4

Richard Turner

13 Jul 2021

Dear Dr. Menzies,

I have discussed the paper with our academic editor and it was also seen again by one reviewer. I am pleased to tell you that, once the minor editorial and production issues are dealt with we expect to be able to accept the paper for publication in the journal.

[LINK]

We hope receive your revised manuscript within 1 week. Please email us (plosmedicine@plos.org) if you have any questions or concerns.

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

Please let me know if you have any questions, and we look forward to receiving the revised manuscript shortly.

Sincerely,

Richard Turner, PhD

Senior Editor, PLOS Medicine

rturner@plos.org

------------------------------------------------------------

Requests from Editors:

Our academic editor requested that you include an additional supplemental table for the results from the following statement: "When adjusted for proportion of study participants who had received ART, using meta-regression for network meta-analysis, the adjusted results for aggregated and individual regimens were very similar to the unadjusted results (supplemental table X)." (noting that PLOS journals do not allow "data not shown" statements).

Please check the risk difference quoted as "8.8" in the abstract, line 26, which may be quoted as "8.9" in table 5.

At line 333, for example, please adapt p values to "p<0.001" unless there is a specific statistical justification for quoting smaller exact values.

Please avoid "p<0.0000", e.g. at line 344.

At line 409, should that be "However, for TST/IGRA negative ..."?

At line 416, please make that "statistically significantly more effective ...".

In reference 6, should that be "N Engl J Med"?

Please revisit reference 64, where it appears that the author list needs trimming to 6 names, followed by "et al". Are you able to add full access details?

Comments from Reviewers:

*** Reviewer #2:

In response to the analysis requested by the academic editor I have no further suggestions to make. Since this is an essentially ecological analysis I am not too surprised that it did not reveal anything startling but it is still worth having if it forestalls negative comments.

Michael Dewey

***

Any attachments provided with reviews can be seen via the following link:

[LINK]

PLoS Med. 2021 Sep 14;18(9):e1003738. doi: 10.1371/journal.pmed.1003738.r009

Author response to Decision Letter 4

15 Jul 2021

Attachment

Submitted filename: NMA REsponseToReviewers R5.docx

Click here for additional data file.^{(37.9KB, docx)}

PLoS Med. doi: 10.1371/journal.pmed.1003738.r010

Decision Letter 5

Richard Turner

18 Jul 2021

Dear Dr Menzies,

On behalf of my colleagues and the Academic Editor, Dr Suthar, I am pleased to inform you that we have agreed to publish your manuscript "Tuberculosis Preventive Therapy for People Living with HIV: A Systematic Review and Network Meta-analysis" (PMEDICINE-D-20-06010R5) in PLOS Medicine.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. Please be aware that it may take several days for you to receive this email; during this time no action is required by you. Once you have received these formatting requests, please note that your manuscript will not be scheduled for publication until you have made the required changes.

In the meantime, please log into Editorial Manager at http://www.editorialmanager.com/pmedicine/, click the "Update My Information" link at the top of the page, and update your user information to ensure an efficient production process.

PRESS

We frequently collaborate with press offices. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximise its impact. If the press office is planning to promote your findings, we would be grateful if they could coordinate with medicinepress@plos.org. If you have not yet opted out of the early version process, we ask that you notify us immediately of any press plans so that we may do so on your behalf.

We also ask that you take this opportunity to read our Embargo Policy regarding the discussion, promotion and media coverage of work that is yet to be published by PLOS. As your manuscript is not yet published, it is bound by the conditions of our Embargo Policy. Please be aware that this policy is in place both to ensure that any press coverage of your article is fully substantiated and to provide a direct link between such coverage and the published work. For full details of our Embargo Policy, please visit http://www.plos.org/about/media-inquiries/embargo-policy/.

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

Thank you again for submitting to PLOS Medicine. We look forward to publishing your paper.

Sincerely,

Richard Turner, PhD

Senior Editor, PLOS Medicine

rturner@plos.org

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Data. Holds the information extracted from the original studies and used in our NMA.

NMA, network meta-analysis.

(XLSX)

Click here for additional data file.^{(591KB, xlsx)}

(DOCX)

Click here for additional data file.^{(290.2KB, docx)}

Attachment

Submitted filename: yaneslane.pdf

Click here for additional data file.^{(61.3KB, pdf)}

Attachment

Submitted filename: NMAofTPTinPLHIV ResponseToReviewers R1.docx

Click here for additional data file.^{(51.4KB, docx)}

Attachment

Submitted filename: Response to reviewers_R2.docx

Click here for additional data file.^{(17.1KB, docx)}

Attachment

Submitted filename: NMA REsponseToReviewers R4.docx

Click here for additional data file.^{(65.8KB, docx)}

Attachment

Submitted filename: NMA REsponseToReviewers R5.docx

Click here for additional data file.^{(37.9KB, docx)}

Data Availability Statement

All relevant data are within the manuscript and its Supporting Information files.

[pmed.1003738.ref001] 1.Gupta RK, Lucas SB, Fielding KL, Lawn SD. Prevalence of tuberculosis in post-mortem studies of HIV-infected adults and children in resource-limited settings: a systematic review and meta-analysis. AIDS. 2015;29(15):1987–2002. Epub 2015/08/13. doi: 10.1097/QAD.0000000000000802 ; PubMed Central PMCID: PMC4568896. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref002] 2.World Health Organization. Global tuberculosis report 2020. Geneva: 2020.

[pmed.1003738.ref003] 3.Akolo C, Adetifa I, Shepperd S, Volmink J. Treatment of latent tuberculosis infection in HIV infected persons. Cochrane Database Syst Rev. 2010;2010(1):Cd000171. Epub 2010/01/22. doi: 10.1002/14651858.CD000171.pub3; PubMed Central PMCID: PMC7043303 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref004] 4.World Health Organization. Latent TB Infection: Updated and consolidated guidelines for programmatic management. 2018. . [PubMed] [Google Scholar]

[pmed.1003738.ref005] 5.Sterling TR, Njie G, Zenner D, Cohn DL, Reves R, Ahmed A, et al. Guidelines for the Treatment of Latent Tuberculosis Infection: Recommendations from the National Tuberculosis Controllers Association and CDC, 2020. MMWR Recomm Rep. 2020;69(1):1–11. Epub 2020/02/14. doi: 10.15585/mmwr.rr6901a1 ; PubMed Central PMCID: PMC7041302 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref006] 6.Swindells S, Ramchandani R, Gupta A, Benson CA, Leon-Cruz J, Mwelase N, et al. One Month of Rifapentine plus Isoniazid to Prevent HIV-Related Tuberculosis. N Engl J Med 2019;380(11):1001–11. doi: 10.1056/NEJMoa1806808 . [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref007] 7.Sterling TR, Scott NA, Miro JM, Calvet G, La Rosa A, Infante R, et al. Three months of weekly rifapentine and isoniazid for treatment of Mycobacterium tuberculosis infection in HIV-coinfected persons. AIDS. 2016;30(10):1607–15. doi: 10.1097/QAD.0000000000001098 00002030-201606190-00011. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref008] 8.Martinson NA, Barnes GL, Moulton LH, Msandiwa R, Hausler H, Ram M, et al. New regimens to prevent tuberculosis in adults with HIV infection. N Engl J Med. 2011;365(1):11–20. Epub 2011/07/08. doi: 10.1056/NEJMoa1005136 ; PubMed Central PMCID: PMC3407678. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref009] 9.Rivero A, López-Cortés L, Castillo R, Verdejo J, García MA, Martínez-Marcos FJ, et al. [Randomized clinical trial investigating three chemoprophylaxis regimens for latent tuberculosis infection in HIV-infected patients]. Enferm Infecc Microbiol Clin 2007;25(5):305–10. Epub 2007/05/17. doi: 10.1157/13102265 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref010] 10.Rivero A, López-Cortés L, Castillo R, Lozano F, García MA, Díez F, et al. [Randomized trial of three regimens to prevent tuberculosis in HIV-infected patients with anergy]. Enferm Infecc Microbiol Clin 2003;21(6):287–92. Epub 2003/06/18. doi: 10.1016/s0213-005x(03)72942-5 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref011] 11.Whalen CC, Johnson JL, Okwera A, Hom DL, Huebner R, Mugyenyi P, et al. A trial of three regimens to prevent tuberculosis in Ugandan adults infected with the human immunodeficiency virus. Uganda-Case Western Reserve University Research Collaboration. N Engl J Med 1997;337(12):801–8. Epub 1997/09/19. doi: 10.1056/NEJM199709183371201 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref012] 12.World Health Organization. WHO consolidated guidelines on tuberculosis. Module 1: prevention–tuberculosis preventive treatment. Geneva: 2020. [PubMed]

[pmed.1003738.ref013] 13.CDC. TB Treatment of Persons Living with HIV. CDC, 2020.

[pmed.1003738.ref014] 14.Pease C, Hutton B, Yazdi F, Wolfe D, Hamel C, Quach P, et al. Efficacy and completion rates of rifapentine and isoniazid (3HP) compared to other treatment regimens for latent tuberculosis infection: a systematic review with network meta-analyses. BMC Infect Dis. 2017;17(1):265. Epub 2017/04/13. doi: 10.1186/s12879-017-2377-x; PubMed Central PMCID: PMC5387294. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref015] 15.US Department of Health and Human Services. Division of AIDS (DAIDS) Table for Grading the Severity of Adult and Pediatric Adverse Events, Corrected Version 2.1. In: National Institute of Allergy and Infectious Diseases DoA, editor. US: National Institutes of Health; 2017. [Google Scholar]

[pmed.1003738.ref016] 16.Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ 2019;366:l4898. Epub 2019/08/30. doi: 10.1136/bmj.l4898. [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref017] 17.National Institute of Allergy and Infectious Diseases DoA. Division of AIDS (DAIDS) Table for Grading the Severity of Adult and Pediatric Adverse Events, Corrected Version 2.1. In: Services DoHaH, editor. US: National Institutes of Health; 2017. [Google Scholar]

[pmed.1003738.ref018] 18.Rücker G. Network meta-analysis, electrical networks and graph theory. Res Synth Methods. 2012;3 (4):312–24. doi: 10.1002/jrsm.1058 [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref019] 19.Kiefer C, Sturtz S, Bender R. A simulation study to compare different estimation approaches for network meta-analysis and corresponding methods to evaluate the consistency assumption. BMC Med Res Methodol. 2020;20(1):36. Epub 2020/02/26. doi: 10.1186/s12874-020-0917-3; PubMed Central PMCID: PMC7041240. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref020] 20.Krahn U, Binder H, König J. A graphical tool for locating inconsistency in network meta-analyses. BMC Med Res Methodol. 2013;13:35. Epub 2013/03/19. doi: 10.1186/1471-2288-13-35; PubMed Central PMCID: PMC3644268. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref021] 21.Rücker G, Schwarzer G. Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Med Res Methodol. 2015;15. doi: 10.1186/s12874-015-0060-8 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref022] 22.Chaimani A CD, Li T, Higgins JPT, Salanti G. Chapter 11: Undertaking network meta-analyses. In: Cochrane, editor. Cochrane Handbook for Systematic Reviews of Interventions version 61 (updated September 2020) 2020. [Google Scholar]

[pmed.1003738.ref023] 23.Lumley T. Network meta-analysis for indirect treatment comparisons. Stat Med. 2002;21 (16):2313–24. doi: 10.1002/sim.1201 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref024] 24.Schwarzer G. General Package for Meta-Analysis. R package;4:15, ed2020–1.

[pmed.1003738.ref025] 25.Rücker GKU, König J, Efthimiou O, Schwarzer G. Network Meta-Analysis using Frequentist Methods. R package;1:2, ed2020–1.

[pmed.1003738.ref026] 26.Team RC. R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria: 2013. [Google Scholar]

[pmed.1003738.ref027] 27.Zar HJ, Cotton MF, Strauss S, Karpakis J, Hussey G, Schaaf HS, et al. Effect of isoniazid prophylaxis on mortality and incidence of tuberculosis in children with HIV: randomised controlled trial. BMJ. 2007;334(7585):136. Epub 2006/11/07. doi: 10.1136/bmj.39000.486400.55; PubMed Central PMCID: PMC1779846. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref028] 28.Gordin FM, Matts JP, Miller C, Brown LS, Hafner R, John SL, et al. A controlled trial of isoniazid in persons with anergy and human immunodeficiency virus infection who are at high risk for tuberculosis. Terry Beirn Community Programs for Clinical Research on AIDS. N Engl J Med 1997;337(5):315–20. Epub 1997/07/31. doi: 10.1056/NEJM199707313370505 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref029] 29.Martínez Alfaro EM, Cuadra F, Solera J, Maciá MA, Geijo P, Sánchez Martínez PA, et al. Evaluation of 2 tuberculosis chemoprophylaxis regimens in patients infected with human immunodeficiency virus. The GECMEI Group. Med Clin 2000;115(5):161–5. Epub 2000/09/21. doi: 10.1016/s0025-7753(00)71496-5 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref030] 30.Danel C, Moh R, Gabillard D, Badje A, Le Carrou J, Ouassa T, et al. A Trial of Early Antiretrovirals and Isoniazid Preventive Therapy in Africa. N Engl J Med 2015;373(9):808–22. Epub 2015/07/21. doi: 10.1056/NEJMoa1507198 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref031] 31.Badje A, Moh R, Gabillard D, Guéhi C, Kabran M, Ntakpé JB, et al. Effect of isoniazid preventive therapy on risk of death in west African, HIV-infected adults with high CD4 cell counts: long-term follow-up of the Temprano ANRS 12136 trial. Lancet Glob Health 2017;5(11):e1080–e9. Epub 2017/10/14. doi: 10.1016/S2214-109X(17)30372-8 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref032] 32.Fitzgerald DW, Severe P, Joseph P, Mellon LR, Noel E, Johnson WD Jr., et al. No effect of isoniazid prophylaxis for purified protein derivative-negative HIV-infected adults living in a country with endemic tuberculosis: results of a randomized trial. J Acquir Immune Defic Syndr 2001;28(3):305–7. Epub 2001/11/06. doi: 10.1097/00042560-200111010-00018 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref033] 33.Johnson JL, Okwera A, Hom DL, Mayanja H, Mutuluuza Kityo C, Nsubuga P, et al. Duration of efficacy of treatment of latent tuberculosis infection in HIV-infected adults. AIDS 2001;15(16):2137–47. Epub 2001/10/31. doi: 10.1097/00002030-200111090-00009 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref034] 34.Hawken MP, Meme HK, Elliott LC, Chakaya JM, Morris JS, Githui WA, et al. Isoniazid preventive therapy for tuberculosis in HIV-1-infected adults: results of a randomized controlled trial. AIDS 1997;11(7):875–82. Epub 1997/06/01. doi: 10.1097/00002030-199707000-00006 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref035] 35.Samandari T, Agizew TB, Nyirenda S, Tedla Z, Sibanda T, Mosimaneotsile B, et al. Tuberculosis incidence after 36 months’ isoniazid prophylaxis in HIV-infected adults in Botswana: a posttrial observational analysis. AIDS. 2015;29(3):351–9. Epub 2015/02/18. doi: 10.1097/QAD.0000000000000535 ; PubMed Central PMCID: PMC5131631. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref036] 36.Samandari T, Agizew TB, Nyirenda S, Tedla Z, Sibanda T, Shang N, et al. 6-month versus 36-month isoniazid preventive treatment for tuberculosis in adults with HIV infection in Botswana: a randomised, double-blind, placebo-controlled trial. Lancet 2011;377(9777):1588–98. Epub 2011/04/16. doi: 10.1016/S0140-6736(11)60204-3 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref037] 37.Rangaka MX, Wilkinson RJ, Boulle A, Glynn JR, Fielding K, van Cutsem G, et al. Isoniazid plus antiretroviral therapy to prevent tuberculosis: a randomised double-blind, placebo-controlled trial. Lancet. 2014;384(9944):682–90. Epub 2014/05/20. doi: 10.1016/S0140-6736(14)60162-8 ; PubMed Central PMCID: PMC4233253. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref038] 38.Madhi SA, Nachman S, Violari A, Kim S, Cotton MF, Bobat R, et al. Primary isoniazid prophylaxis against tuberculosis in HIV-exposed children. N Engl J Med. 2011;365(1):21–31. Epub 2011/07/08. doi: 10.1056/NEJMoa1011214 ; PubMed Central PMCID: PMC3164539. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref039] 39.Gordin FM, Cohn DL, Matts JP, Chaisson RE, Brien RJ. Terry Beirn Community Programs for Clinical Research on AIDS, the Adult AIDS Clinical Trials Group, and the Centers for Disease Control and Prevention. Hepatotoxicity of rifampin and pyrazinamide in the treatment of latent tuberculosis infection in HIV-infected persons: is it different than in HIV-uninfected persons? Clin Infect Dis. 2004;39:561–5. doi: 10.1086/422724 [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref040] 40.Gordin F, Chaisson RE, Matts JP, Miller C, de Lourdes Garcia M, Hafner R, et al. Rifampin and pyrazinamide vs isoniazid for prevention of tuberculosis in HIV-infected persons: an international randomized trial. Terry Beirn Community Programs for Clinical Research on AIDS, the Adult AIDS Clinical Trials Group, the Pan American Health Organization, and the Centers for Disease Control and Prevention Study Group. JAMA. 2000;283(11):1445–50. Epub 2000/03/25. doi: 10.1001/jama.283.11.1445 . [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref041] 41.Quigley MA, Mwinga A, Hosp M, Lisse I, Fuchs D, Porter JDH, et al. Long-term effect of preventive therapy for tuberculosis in a cohort of HIV-infected Zambian adults. AIDS. 2001;15 (2):215–22. doi: 10.1097/00002030-200101260-00011 [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref042] 42.Mwinga A, Hosp M, Godfrey-Faussett P, Quigley M, Mwaba P, Mugala BN, et al. Twice weekly tuberculosis preventive therapy in HIV infection in Zambia. AIDS. 1998;12 (18):2447–57. doi: 10.1097/00002030-199818000-00014 [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref043] 43.Mohammed A, Myer L, Ehrlich R, Wood R, Cilliers F, Maartens G. Randomised controlled trial of isoniazid preventive therapy in South African adults with advanced HIV disease. Int J Tuberc Lung Dis. 2007;11 (10):1114–20. [PubMed] [Google Scholar]

[pmed.1003738.ref044] 44.Halsey NA, Coverly JS, Desormeaux J, Losikoff P, Atkinson J, Moulton LH, et al. Randomised trial of isoniazid versus rifampicin and pyrazinamide for prevention of tuberculosis in HIV-1 infection. Lancet. 1998;351 (9105):786–92. doi: 10.1016/S0140-6736(97)06532-X [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref045] 45.Portilla J, Jordá P, Esteban J, Sánchez-Payá J, Merino E, Boix V, et al. Directly observed treatment of latent tuberculosis infection: comparative study of two isoniazid regimens. Enferm Infecc Microbiol Clin. 2003;21 (6):293–5. doi: 10.1016/s0213-005x(03)72943-7 [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref046] 46.Matteelli A, Ollioaro P, Signorini L, Cadeo G, Scalzini A, Bonazzi L, et al. Tolerability of twice-weekly rifabutin-isoniazid combinations versus daily isoniazid for latent tuberculosis in HIV-infected subjects: a pilot study. Int J Tuberc Lung Dis. 1999;3 (11):1043–6. [PubMed] [Google Scholar]

[pmed.1003738.ref047] 47.Swaminathan S, Menon PA, Gopalan N, Perumal V, Santhanakrishnan RK, Ramachandran R, et al. Efficacy of a six-month versus a 36-month regimen for prevention of tuberculosis in HIV-infected persons in India: a randomized clinical trial. PLoS ONE. 2012;7(12). Epub 2012 Dec 14. doi: 10.1371/journal.pone.0047400 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref048] 48.Hosseinipour MC, Bisson GP, Miyahara S, Sun X, Moses A, Riviere C, et al. Empirical tuberculosis therapy versus isoniazid in adult outpatients with advanced HIV initiating antiretroviral therapy (REMEMBER): a multicountry open-label randomised controlled trial. Lancet. 2016;387 (10024):1198–209. doi: 10.1016/S0140-6736(16)00546-8 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref049] 49.Bisson GP, Ramchandani R, Miyahara S, Mngqibisa R, Matoga M, Ngongondo M, et al. Risk factors for early mortality on antiretroviral therapy in advanced HIV-infected adults. AIDS. 2017;31 (16):2217–25. doi: 10.1097/QAD.0000000000001606 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref050] 50.Ngongondo M, Miyahara S, Hughes MD, Sun X, Bisson GP, Gupta A, et al. Hepatotoxicity During Isoniazid Preventive Therapy and Antiretroviral Therapy in People Living With HIV With Severe Immunosuppression: A Secondary Analysis of a Multi-Country Open-Label Randomized Controlled Clinical Trial. J Acquir Immune Defic Syndr. 2018;78 (1):54–61. doi: 10.1097/QAI.0000000000001641 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref051] 51.Gupta A, Montepiedra G, Aaron L, Theron G, McCarthy K, Bradford S, et al. Isoniazid Preventive Therapy in HIV-Infected Pregnant and Postpartum Women. N Engl J Med 2019;381(14):1333–46. doi: 10.1056/NEJMoa1813060 . [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref052] 52.Hakim J, Musiime V, Szubert AJ, Mallewa J, Siika A, Agutu C, et al. Enhanced Prophylaxis plus Antiretroviral Therapy for Advanced HIV Infection in Africa. N Engl J Med. 2017;377 (3):233–45. doi: 10.1056/NEJMoa1615822 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref053] 53.Post FA, Szubert AJ, Prendergast AJ, Johnston V, Lyall H, Fitzgerald F, et al. Causes and Timing of Mortality and Morbidity Among Late Presenters Starting Antiretroviral Therapy in the REALITY Trial. Clin Infect Dis. 2018;66 (suppl_2):S132–S9. doi: 10.1093/cid/cix1141 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref054] 54.Sanchez F, Balagué M, Hernandez P, López-Colomés JL, García de Olalla P, García Vidal J, et al. Treatment of latent tuberculosis infection in injecting drug users co-infected by HIV. Enf Emerg. 2002;4:62–5. [Google Scholar]

[pmed.1003738.ref055] 55.Pape JW, Jean SS, Ho JL, Hafner A, Johnson WD. Effect of isoniazid prophylaxis on incidence of active tuberculosis and progression of HIV infection. Lancet. 1993;342:268–72. doi: 10.1016/0140-6736(93)91817-6 [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref056] 56.Gray DM, Workman LJ, Lombard CJ, Jennings T, Innes S, Grobbelaar CJ. Isoniazid preventive therapy in HIV-infected children on antiretroviral therapy: a pilot study. Int J Tuberc Lung Dis. 2014;18:322–7. doi: 10.5588/ijtld.13.0354 [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref057] 57.Ross JM, Badje A, Rangaka MX, Walker AS, Shapiro AE, Thomas KK, et al. Isoniazid preventive therapy plus antiretroviral therapy for the prevention of tuberculosis: a systematic review and meta-analysis of individual participant data. Lancet HIV. 2021;8 (1):e8–e15. doi: 10.1016/S2352-3018(20)30299-X ; PubMed Central PMCID: PMC7875572. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref058] 58.Den Boon S, Matteelli A, Ford N, Getahun H. Continuous isoniazid for the treatment of latent tuberculosis infection in people living with HIV. AIDS. 2016;30(5):797–801. Epub 2016/01/06. doi: 10.1097/QAD.0000000000000985 ; PubMed Central PMCID: PMC5642844. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref059] 59.Golub JE, Cohn S, Saraceni V, Cavalcante SC, Pacheco AG, Moulton LH, et al. Long-term protection from isoniazid preventive therapy for tuberculosis in HIV-infected patients in a medium-burden tuberculosis setting: the TB/HIV in Rio (THRio) study. Clin Infect Dis. 2015;60(4):639–45. Epub 2014/11/05. doi: 10.1093/cid/ciu849 ; PubMed Central PMCID: PMC4366579. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref060] 60.World Health Organization. WHO TB burden estimates. Geneva 2020.

[pmed.1003738.ref061] 61.Campbell JR, Winters N, Menzies D. Absolute risk of tuberculosis among untreated populations with a positive tuberculin skin test or interferon-gamma release assay result: systematic review and meta-analysis. BMJ (Clinical research ed). 2020;368:m549. Epub 2020/03/12. doi: 10.1136/bmj.m549; PubMed Central PMCID: PMC7190060 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref062] 62.Campbell JR, Al-Jahdali H, Bah B, Belo M, Cook VJ, Long R, et al. Safety and Efficacy of Rifampin or Isoniazid Among People With Mycobacterium tuberculosis Infection and Living With Human Immunodeficiency Virus or Other Health Conditions: Post Hoc Analysis of 2 Randomized Trials. Clin Infect Dis. 2020. doi: 10.1093/cid/ciaa1169 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref063] 63.Brooks KM, George JM, Pau AK, Rupert A, Mehaffy C, De P, et al. Cytokine-Mediated Systemic Adverse Drug Reactions in a Drug-Drug Interaction Study of Dolutegravir With Once-Weekly Isoniazid and Rifapentine. Clin Infect Dis. 2018;67 (2):193–201. doi: 10.1093/cid/ciy082 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref064] 64.Dooley K., Churchyard G., Savic R., Gupte A., Marzinke M., Zhang N., et al. Safety & PK of weekly rifapentine/isoniazid (3HP) in adults with HIV on dolutegravir. Conference on Retroviruses and Opportunistic Infections; Washington 2019. Available at: https://www.croiconference.org/abstract/safety-pk-weekly-rifapentineisoniazid-3hp-adults-hiv-dolutegravir/. Accessed June 2021.

[pmed.1003738.ref065] 65.Panel on Antiretroviral Guidelines for Adults and Adolescents. Guidelines for the Use of Antiretroviral Agents in Adults and Adolescents with HIV. Department of Health and Human Services. Available at https://clinicalinfo.hiv.gov/sites/default/files/guidelines/documents/AdultandAdolescentGL.pdf. Accessed February 2021.

[pmed.1003738.ref066] 66.Jacobs TG, Svensson EM, Musiime V, Rojo P, Dooley KE, McIlleron H, et al. Pharmacokinetics of antiretroviral and tuberculosis drugs in children with HIV/TB co-infection: a systematic review. J Antimicrob Chemother. 2020;75 (12):3433–57. doi: 10.1093/jac/dkaa328 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref067] 67.Bastos ML, Campbell JR, Oxlade O, Adjobimey M, Trajman A, Ruslami R, et al. Health System Costs of Treating Latent Tuberculosis Infection With Four Months of Rifampin Versus Nine Months of Isoniazid in Different Settings. Ann Intern Med. 2020;173 (3):169–78. doi: 10.7326/M19-3741 [DOI] [PubMed] [Google Scholar]

[pmed.1003738.ref068] 68.Mbuagbaw L, Rochwerg B, Jaeschke R, Heels-Andsell D, Alhazzani W, Thabane L, et al. Approaches to interpreting and choosing the best treatments in network meta-analyses. Syst Rev. 2017;6(1):79. Epub 2017/04/14. doi: 10.1186/s13643-017-0473-z; PubMed Central PMCID: PMC5389085. [DOI] [PMC free article] [PubMed] [Google Scholar]

[pmed.1003738.ref069] 69.Jansen JP, Trikalinos T, Cappelleri JC, Daw J, Andes S, Eldessouki R, et al. Indirect treatment comparison/network meta-analysis study questionnaire to assess relevance and credibility to inform health care decision making: an ISPOR-AMCP-NPC Good Practice Task Force report. Value Health 2014;17(2):157–73. Epub 2014/03/19. doi: 10.1016/j.jval.2014.01.004 . [DOI] [PubMed] [Google Scholar]

PERMALINK

Tuberculosis preventive therapy for people living with HIV: A systematic review and network meta-analysis

Mercedes Yanes-Lane

Edgar Ortiz-Brizuela

Jonathon R Campbell

Andrea Benedetti

Gavin Churchyard

Olivia Oxlade

Dick Menzies

Roles

Abstract

Background

Methods and findings

Conclusions

Author summary

Why was this study done?

What did the researchers do and find?

What do these findings mean?

Introduction

Methods

Data sources and searches

Study selection

Data extraction and quality assessment

Outcomes

Definitions

Data synthesis and statistical analysis

Secondary analysis

Results

Fig 1. Flowchart of study selection.

Table 1. Main characteristics of the included studies.

Fig 2. Duration of treatment and posttreatment follow-up of the included studies.

Network meta-analysis results

Table 2. NMA of incidence of microbiologically confirmed active TB throughout study duration by aggregated TPT regimens.

Table 3. NMA of incidence of microbiologically confirmed and clinically diagnosed active TB throughout study duration by aggregated TPT regimens.

Table 4. NMA of incidence of all-cause mortality throughout study duration by aggregated TPT regimens.

Table 5. NMA of RD of grade 3 or worse hepatotoxicity during treatment, by aggregated TPT regimens.

Fig 3. Proportion of TPT completion by individual regimens.

Table 6. Aggregate meta-analysis of the cumulative incidence of drug-resistant TB by aggregated TPT regimens.

Table 7. Ranking of regimens for each outcome evaluated.

Secondary analysis

Discussion

Conclusions

Supporting information

Abbreviations

Data Availability

Funding Statement

References

Decision Letter 0

Thomas J McBride

Roles

Decision Letter 1

Raffaella Bosurgi

Roles

Author response to Decision Letter 1

Decision Letter 2

Richard Turner

Roles

Author response to Decision Letter 2

Decision Letter 3

Richard Turner

Roles

Author response to Decision Letter 3

Decision Letter 4

Richard Turner

Roles

Author response to Decision Letter 4

Decision Letter 5

Richard Turner

Roles

Associated Data

Supplementary Materials

Data Availability Statement

ACTIONS

PERMALINK

RESOURCES

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