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The Cochrane Database of Systematic Reviews logoLink to The Cochrane Database of Systematic Reviews
. 2019 Jun 18;2019(6):CD012941. doi: 10.1002/14651858.CD012941.pub2

Probiotics for preventing acute otitis media in children

Anna M Scott 1,, Justin Clark 1, Blair Julien 2, Farhana Islam 2, Kristian Roos 3, Keith Grimwood 4, Paul Little 5, Chris B Del Mar 1
Editor: Cochrane Acute Respiratory Infections Group
PMCID: PMC6580359  PMID: 31210358

Abstract

Background

Acute otitis media (AOM), or acute middle ear infection, is one of the most frequently occurring childhood diseases, and the most common reason given for prescribing antibiotics in this age group. Guidelines often recommend antibiotics as first‐line treatment for severe AOM. However, antibiotics also lead to antibiotic resistance, so preventing episodes of AOM is an urgent priority.

Objectives

To assess the effects of probiotics to prevent the occurrence and reduce the severity of acute otitis media in children.

Search methods

We searched CENTRAL, PubMed, Embase, and three other databases (October 2018), two trial registers (October 2018), and conducted a backwards and forwards citation analysis (August 2018). We did not apply any language, publication date, or publication status restrictions.

Selection criteria

Randomised controlled trials (RCTs) of children (aged up to 18 years), comparing probiotics with placebo, usual care, or no probiotic.

Data collection and analysis

Two review authors independently assessed the eligibility of trials for inclusion and risk of bias of the included trials, and extracted data using pre‐piloted data extraction forms. We analysed dichotomous data as either risk ratio (RR) or odds ratios (OR) and continuous data as mean differences (MD).

Main results

We included 17 RCTs involving 3488 children, of which 16 RCTs were included in the meta‐analyses. Of the 16 RCTs that reported the mean age of children, mean age overall was 2.4 years; in 4 RCTs the mean age of children participating in the trial was less than 1 year old; in 2 RCTs the mean age was between 1 and 2 years old; and in 10 RCTs the mean age was older than 2 years. Probiotic strains evaluated by the trials varied, with 11 of the included RCTs evaluating Lactobacillus‐containing probiotics, and six RCTs evaluating Streptococcus‐containing probiotics.

The proportion of children (i.e. the number of children in each group) experiencing one or more episodes of AOM during the treatment was lower for those taking probiotics (RR 0.77, 95% confidence interval (CI) 0.63 to 0.93; 16 trials; 2961 participants; number needed to treat for an additional beneficial outcome (NNTB) = 10; moderate‐certainty evidence).

Post hoc subgroup analysis found that among children not prone to otitis media, a lower proportion of children receiving probiotics experienced AOM (RR 0.64, 95% CI 0.49 to 0.84; 11 trials; 2227 participants; NNTB = 9; moderate‐certainty evidence). However, among children who were otitis prone, there was no difference between probiotic and comparator groups (RR 0.97, 95% CI 0.85 to 1.11; 5 trials; 734 participants; high‐certainty evidence). The test for subgroup differences was significant (P = 0.007).

None of the included trials reported on the severity of AOM.

The proportion of children experiencing adverse events did not differ between the probiotic and comparator groups (OR 1.54, 95% CI 0.60 to 3.94; 4 trials; 395 participants; low‐certainty evidence).

Probiotics decreased the proportion of children taking antibiotics for any infection (RR 0.66, 95% CI 0.51 to 0.86; 8 trials; 1768 participants; NNTB = 8; moderate‐certainty evidence). Test for subgroup differences (use of antibiotic specifically for AOM, use of antibiotic for infections other than AOM) was not significant.

There was no difference in the mean number of school days lost (MD −0.95, 95% CI −2.47 to 0.57; 5 trials; 1280 participants; moderate‐certainty evidence). There was no difference between groups in the level of compliance in taking the intervention (RR 1.02, 95% CI 0.99 to 1.05; 5 trials; 990 participants).

Probiotics decreased the proportion of children having other infections (RR 0.75, 95% CI 0.65 to 0.87; 11 trials; 3610 participants; NNTB = 12; moderate‐certainty evidence). Test for subgroup differences (acute respiratory infections, gastrointestinal infections) was not significant.

Probiotic strains trialled and their dose, frequency, and duration of administration varied considerably across studies, which likely contributed to the substantial levels of heterogeneity. Sensitivity testing of funnel plots did not reveal publication bias.

Authors' conclusions

Probiotics may prevent AOM in children not prone to AOM, but the inconsistency of the subgroup analyses suggests caution in interpreting these results. Probiotics decreased the proportion of children taking antibiotics for any infection. The proportion of children experiencing adverse events did not differ between the probiotic and comparator groups. The optimal strain, duration, frequency, and timing of probiotic administration still needs to be established.

Plain language summary

Probiotics ('healthy bacteria') for preventing acute middle ear infection in children

Review question

Does taking probiotics (‘healthy bacteria’) prevent children from getting acute middle ear infections?

Background

Acute middle ear infection is very common in childhood. It is caused by bacteria that travel from the upper part of the throat, through canals (called Eustachian tubes), to the middle ear. Symptoms include fever, earache, and occasionally the eardrum may perforate, discharging pus into the ear canal.

Antibiotics are often prescribed for acute middle ear infection, although they have only a modest effect on reducing symptoms. Moreover, excessive antibiotic use leads to antibiotic resistance, making them less effective for these and other infections. Consequently, preventing acute middle ear infection is highly desirable.

Probiotics are often sold as tablets or powders, as a food ingredient (e.g. in yogurt), and even sprayed directly into the throat. However, it is not yet clear whether they prevent acute middle ear infection. We analysed the scientific evidence to answer this question.

Study characteristics and searches

We searched and identified 17 randomised controlled trials (studies in which participants are assigned to one of two or more treatment groups using a random method), published before October 2018. All were conducted in Europe, and collectively included 3488 children. Twelve trials included children who were not prone to acute middle ear infections, whilst five trials included children who were prone to such infections.

Key results

One‐third fewer children not prone to acute middle ear infection who took probiotics experienced acute middle ear infections compared to children not taking probiotics. However, probiotics may not benefit children prone to acute middle ear infection. Taking probiotics did not impact on the number of days of school that children missed. None of the studies reported on the impact of probiotics on the severity of acute middle ear infection. There was no difference between the group taking probiotics and the group not taking probiotics in the number of children experiencing adverse events (harms).

Quality of the evidence

The quality (or certainty) of the evidence was generally moderate (meaning that further research may change our estimates) or high (further research is unlikely to change our estimates). However, the trials differed in terms of types of probiotics evaluated, how often and for how long they were taken, and how the trial results were reported.

Summary of findings

Summary of findings for the main comparison. Probiotic compared to placebo for preventing acute otitis media in children.

Probiotic compared to placebo for preventing acute otitis media in children
Patient or population: children up to age 18 years
 Setting: community, primary care, and secondary care
 Intervention: any probiotic, delivered by any means
 Comparison: comparator
Outcomes Anticipated absolute effects* (95% CI) Relative effect
 (95% CI) № of participants
 (studies) Certainty of the evidence
 (GRADE) Comments
Risk with placebo Risk with probiotic
Proportion of children with AOM (overall) Study population RR 0.77
 (0.63 to 0.93) 2961
 (16 RCTs) ⊕⊕⊕⊝
 MODERATE1 We conducted a post hoc sensitivity analysis by health status (children prone to AOM versus children not prone to AOM). The test for subgroup differences was significant (P = 0.007). The follow‐up duration ranged from 20 days to 2 years.
390 per 1000 300 per 1000
 (246 to 362)
Proportion of children with AOM:
children not prone to AOM
Study population RR 0.64
(0.49 to 0.84)
2227
(11 RCTs)
⊕⊕⊕⊝
 MODERATE2 The follow‐up duration ranged from 20 days to 2 years.
295 per 1000 189 per 1000
(145 to 248)
Proportion of children with AOM:
children prone to AOM
Study population RR 0.97
(0.85 to 1.11)
734
(5 RCTs)
⊕⊕⊕⊕
 HIGH The follow‐up duration ranged from 20 days to 2 years.
660 per 1000 641 per 1000
(561 to 733)
Severity of AOM No data No data No data No data N/A None of the included studies reported on this outcome.
Adverse events Study population OR 1.54
 (0.60 to 3.94) 395
 (4 RCTs) ⊕⊕⊝⊝
 LOW3 The follow‐up duration ranged from 20 days to 2 years.
186 per 1000 260 per 1000
 (121 to 474)
Time off school for child ‐‐ MD −0.95 days
(−2.47 to 0.57)
‐‐ 1280
(5 RCTs)
⊕⊕⊕⊝
MODERATE4
The follow‐up duration ranged from 20 days to 2 years. The median of trial means for the probiotic group was 4.45 days of absence; the median of trial means for the comparator group was 5.8 days of absence.
Difference in the use of antibiotics Study population RR 0.66
 (0.51 to 0.86) 1768
 (8 RCTs) ⊕⊕⊕⊝
 MODERATE5 The follow‐up duration ranged from 20 days to 2 years.
397 per 1000 262 per 1000
 (203 to 342)
Difference in proportion of children with other infections Study population RR 0.75
(0.65 to 0.87)
3610
(11 RCTs)
⊕⊕⊕⊝
 MODERATE6 The follow‐up duration ranged from 20 days to 2 years.
363 per 1000 272 per 1000
(236 to 316)
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
 
 AOM: acute otitis media; CI: confidence interval; MD: mean difference; N/A: not applicable; OR: odds ratio; RCT: randomised controlled trial; RR: risk ratio
GRADE Working Group grades of evidenceHigh certainty: We are very confident that the true effect lies close to that of the estimate of the effect.
 Moderate certainty: We are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
 Low certainty: Our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
 Very low certainty: We have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

1Downgraded one level for substantial heterogeneity (72%).
 2Downgraded one level for moderate/substantial heterogeneity (59%).
 3Downgraded two levels for imprecision, wide confidence intervals, and small number of participants.
 4Downgraded one level for moderate heterogeneity (54%).
 5Downgraded one level for substantial heterogeneity (70%).
 6Downgraded one level for substantial heterogeneity (64%).

Background

Description of the condition

Acute otitis media (AOM) is one of the most common childhood infections. It is characterised by effusion of the middle ear and rapid onset of symptoms such as fever, malaise, ear pain, and, on occasion, otorrhoea (discharge from the ear) (AAP 2013). Although AOM has low mortality, it has a high disease burden (Stool 1989); by two years of age, 70% of children have had at least one episode of AOM, and 20% to 30% of children have experienced three or more episodes (Hatakka 2007b). Globally, the incidence rate (new episodes of AOM per hundred people per year) is estimated at 10.85% (the equivalent of 709 million cases of AOM annually); the incidence rate varies, from a low of 3.64% in Central Europe to 43.37% in central sub‐Saharan Africa (Monasta 2012).

Clinical care guidelines for treatment of AOM vary internationally. For mild‐moderate cases, 'watchful waiting' has now been adopted in many high‐income countries, although this remains infrequent in low‐income countries (Tamir 2017). Most guidelines recommend amoxicillin as first‐line treatment, with some exceptions: amoxicillin‐clavulanate in some high‐income countries, penicillin V in Scandinavian countries, whilst other first‐line treatments in low‐income countries include trimethoprim‐sulphamethoxazole, cephalexin, cloxacillin, and others (Tamir 2017). Accordingly, AOM is one of the main reasons given for prescribing antibiotics in children (Hendley 2002). However, the rates of antibiotic prescription for AOM vary internationally, from 56% of consultations for AOM in the Netherlands (Akkerman 2005), to 89% to 95% in Australia and North America, respectively (Froom 2001; McCullough 2017). Antibiotic use leads to antibiotic resistance, therefore there is increased interest in identifying novel means of preventing AOM, especially since randomised clinical trials of pneumococcal and influenza vaccines have demonstrated limited protective efficacy against AOM (Cohen 2013b; Dagan 2016; Fortanier 2014; Hatakka 2007b; Jefferson 2018; Niittynen 2012).

Description of the intervention

The World Health Organization (WHO) defines probiotics as live micro‐organisms that confer a health benefit on the host when administered in adequate amounts (FAO‐WHO 2006). Micro‐organisms used as probiotics include: Lactobacillus (e.g. L acidophilus, L fermentum), Bifidobacterium (e.g. B bifidum, B lactis), Streptococcus (e.g. S thermophiles) species, and Saccharomyces (e.g. S boulardii) species (Niittynen 2012). Probiotics are available in multiple forms: as tablets or powders or liquid drops (regulated as dietary supplements), as a food ingredient (e.g. yogurt or kefir) (Wang 2016), or directly applied by spray to the throat (Roos 2001b). While probiotics are not currently routinely used in clinical practice, they can be used by adults and children (Wang 2016), and are not generally believed to have harmful effects in healthy, immunocompetent people (Marteau 2002).

How the intervention might work

Acute otitis media is thought to be caused by pathogenic bacteria entering the middle ear cleft from the nasopharynx via the Eustachian tubes. Probiotics may restore the balance of the normal microbiota (Hatakka 2007b), although the mechanism for this is unclear (Hao 2015); they may stabilise gut microbiota; maintain epithelial cell barrier function; modulate immune function; compete with pathogens for nutrients or adhesion sites on epithelial cell surfaces; produce bacteriocins or other inhibitory substances (Hao 2015; Hatakka 2007b; Niittynen 2012).

Why it is important to do this review

Concern about antibiotic use leading to increased antibiotic resistance has created interest in alternative managements (O'Neill 2014), which include probiotics (Hatakka 2007b). Cochrane Reviews have investigated other interventions for the prevention of otitis media, including xylitol (Azarpazhooh 2016), pneumococcal conjugate vaccines (Fortanier 2014), and influenza vaccines (Norhayati 2017). Another Cochrane Review that addressed probiotics to prevent acute respiratory tract infections did not include trials with AOM on the grounds that otitis‐prone children may have immunodeficiencies (Hao 2015).

Objectives

To assess the effects of probiotics to prevent the occurrence and reduce the severity of acute otitis media in children.

Methods

Criteria for considering studies for this review

Types of studies

Randomised controlled trials (RCTs), irrespective of study design (e.g. cluster, parallel, cross‐over) and publication type (full text, abstract only, unpublished data).

Types of participants

Children (aged up to 18 years).

We excluded children with the following comorbidities or characteristics: chromosomal and genetic disorders; craniofacial abnormalities, including cleft palate; those taking systemic corticosteroids or with immune deficiency status; and those with cystic fibrosis or primary ciliary dyskinesia.

Types of interventions

We included trials comparing probiotics with placebo or usual care or no probiotic. The probiotics could be of any composition (e.g. powder, drink, spray). Any co‐intervention (including antibiotics) applied to both the intervention and control groups could be used.

Types of outcome measures

Primary outcomes
  1. Proportion of children with AOM (in each group) (i.e. the number of children experiencing one or more episodes of AOM during the treatment).

  2. Severity of AOM.

  3. Adverse events (e.g. gastrointestinal side effects).

Secondary outcomes
  1. Median duration of AOM episodes (days).

  2. Difference in the use of antibiotics (e.g. dose, duration).

  3. Time off school (for the child) (e.g. in days or hours).

  4. Time off work (for the parent or carer) (e.g. in days or hours).

  5. Difference between groups in hearing loss, if AOM occurs.

  6. Serous/secretory otitis media.

  7. Difference in referrals to a specialist (e.g. for glue ear).

  8. Difference in other infections (respiratory and gastrointestinal).

  9. Compliance with taking probiotics (e.g. measured by pill count or weight of the spray bottle).

  10. Quality of life measures (using any validated quality of life measure).

  11. Difference in use of other treatments (e.g. differences in dosage of analgesics, decongestants).

Search methods for identification of studies

Electronic searches

We searched the following bibliographic databases:

  1. Cochrane Central Register of Controlled Trials (CENTRAL; 2018, Issue 9, September), which includes the Cochrane Acute Respiratory Infections Group Specialised Register, in the Cochrane Library (searched 4 October 2018);

  2. PubMed (1946 to 4 October 2018);

  3. Embase Elsevier (1947 to 4 October 2018);

  4. CINAHL EBSCO (Cumulative Index to Nursing and Allied Health Literature, 1982 to 4 October 2018);

  5. LILACS (Latin American and Caribbean Health Science Information database, 1982 to 4 October 2018); and

  6. Web of Science (1900 to 4 October 2018).

We searched the following trial registries:

  1. US National Institutes of Health Ongoing Trials Register ClinicalTrials.gov (www.clinicaltrials.gov) (searched 10 October 2018); and

  2. World Health Organization International Clinical Trials Registry Platform (WHO ICTRP) (apps.who.int/trialsearch/) (searched 10 October 2018).

We used the search strategies described in Appendix 1 to search the bibliographic databases. Where appropriate, these were combined with the Cochrane Highly Sensitive Search Strategy for randomised trials: sensitivity and precision‐maximising version (2008 revision) (Lefebvre 2011). We did not impose any language, publication date, or publication status restrictions.

We used the search strategies described in Appendix 2 to search ClinicalTrials.gov and the WHO ICTRP to identify published registered trials, as well as ongoing trials.

We conducted a backwards (cited) and forwards (citing) citation analyses on all included trials in Web of Science (28 August 2018). As we identified no additional trials, we did not carry out the use of the similar article feature in PubMed and the shared citation matcher in Web of Science.

Searching other resources

We contacted experts in the field to identify additional unpublished materials, however as no relevant unpublished completed trials were identified, we did not need to contact trial investigators for unpublished data.

Data collection and analysis

Selection of studies

Two review authors (AMS and JC, AMS and FI, or AMS and BJ) independently screened the titles and abstracts identified as a result of the search for potentially relevant trials. We retrieved the full‐text study reports/publication of all studies deemed potentially relevant, and two review authors (AMS and JC, AMS and FI, or AMS and BJ) independently screened the full texts and identified trials for inclusion, and identified and recorded reasons for exclusion of the ineligible trials. Any disagreements were resolved through discussion or by consulting a third review (CDM) author when necessary. We identified and excluded duplicates and collated multiple reports of the same study so that each study, rather than each report, was the unit of interest in the review. We recorded the selection process in sufficient detail to complete a PRISMA flow diagram and Characteristics of excluded studies table (Moher 2009). We did not impose any language restrictions.

Data extraction and management

We used a data collection form for study characteristics and outcome data that had been piloted on two trials in the review. Two review authors (AMS and FI, or AMS and BJ) independently extracted the following study characteristics from the included trials.

  1. Methods: study location, study design, study objective, study duration.

  2. Participants: N, type of participants, mean age, age range, gender, comorbidities, number of previous episodes of otitis media, diagnostic criteria.

  3. Interventions: probiotic type, duration, dose, comparison, other permitted interventions (e.g. concomitant analgesics, decongestants), other prohibited interventions (e.g. analgesics, decongestants).

  4. Outcomes: primary and secondary outcomes specified and collected, and time points reported.

  5. Notes: funding for trial, and notable conflicts of interest of trial authors.

We noted in the Characteristics of included studies table if outcome data were not reported in a useable way. Any disagreements were resolved by consensus or by involving a third review author (CDM). One review author (AMS) transferred data into the Review Manager 5 file (RevMan 2014). We double‐checked that data were entered correctly by comparing the data presented in the systematic review with the study reports. A second review author (CDM) also conducted a spot‐check of study characteristics for accuracy against the trial report.

Assessment of risk of bias in included studies

Two review authors (AMS and FI, or AMS and BJ) independently assessed risk of bias for each study using the criteria outlined in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011). Any disagreements were resolved by discussion or by involving another review author (CDM). We assessed risk of bias according to the following domains.

  1. Random sequence generation.

  2. Allocation concealment.

  3. Blinding of participants and personnel.

  4. Blinding of outcome assessment.

  5. Incomplete outcome data.

  6. Selective outcome reporting.

  7. Other bias.

We graded each potential source of bias as high, low, or unclear, and provided a quote from the study report together with a justification for our judgement in the 'Risk of bias' table. We summarised the 'Risk of bias' judgements across different trials for each of the domains listed. When considering treatment effects, we took into account the risk of bias for the trials that contributed to that outcome.

Assessment of bias in conducting the systematic review

We conducted the review according to our published protocol (Scott 2018), and reported any deviations from it in the Differences between protocol and review section of the review.

Measures of treatment effect

One review author (AMS) entered the outcome data for each study into the data tables in Review Manager 5 to calculate the treatment effects (RevMan 2014). We analysed dichotomous data as either risk ratio (RR) or odds ratios (OR) and continuous data as mean differences (MD).

We calculated the number needed to treat for an additional beneficial outcome (NNTB) in the following manner: NNTB = 1/ARR, where AAR = absolute risk reduction, that is the absolute difference between the event rate in the untreated (comparator) and treated (probiotic) groups.

We undertook meta‐analyses only where this was meaningful, that is if the treatments, participants, and the underlying clinical question were similar enough for pooling to make sense. If meta‐analysis was possible, we used a random‐effects model due to high heterogeneity of the included trials.

Unit of analysis issues

We used the participant as the unit of analysis; one cluster‐RCT met our inclusion criteria (Stecksen‐Blicks 2009), but it reported individual data, permitting the use of participant as the unit of analysis. Nocerino 2017 was a three‐armed trial with two probiotics arms. We combined the probiotics arms to form one intervention group for the meta‐analysis.

Dealing with missing data

We intended to contact investigators or study sponsors to verify key study characteristics and to obtain missing numerical outcome data where possible (e.g. when a study was identified as abstract only), however we included no incomplete or abstract‐only trials in the review.

Where outcome data for standard deviations were missing, we calculated them from 95% confidence intervals (where available) according to the methods described in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011), or from the range data (Hozo 2005).

Assessment of heterogeneity

We used the I2 statistic to measure heterogeneity amongst the trials in each analysis. If we identified substantial heterogeneity and there were sufficient data, we reported the heterogeneity and explored possible causes for it by subgroup analysis (e.g. see Analyses 1.1.1, 1.1.2, 1.1.3). We considered an I2 statistic value of 0% to 40% as low heterogeneity; 41% to 60% as moderate heterogeneity; 61% to 90% as substantial heterogeneity; and over 91% as considerable heterogeneity (Higgins 2011).

Assessment of reporting biases

As we were able to pool more than 10 trials, we created a funnel plot to explore possible small‐study and publication bias.

Data synthesis

We pooled data from trials we judged to be clinically homogeneous using Review Manager 5 (RevMan 2014). Where three or more trials provided useable data in any single comparison, we performed a meta‐analysis. We had expected sizeable heterogeneity in terms of populations, probiotics studied, etc., which materialised, therefore we used the random‐effects model. Where the volume of evidence was insufficient to perform a meta‐analysis, we reported outcomes in a narrative format.

GRADE and 'Summary of findings' table

We created a 'Summary of findings' table using the following outcomes: proportion of children with AOM; proportion of children with AOM among children not prone to AOM; proportion of children with AOM among children prone to AOM; severity of AOM; adverse events; time off school; antibiotic use; and proportion of children with other infections. We used the five GRADE considerations (study limitations, consistency of effect, imprecision, indirectness, and publication bias) to assess the quality (certainty) of a body of evidence as it related to the trials that contributed data to the meta‐analyses for the prespecified outcomes (Atkins 2004). We used the methods and recommendations described in Section 8.5 and Chapter 12 of the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011), employing GRADEpro GDT software (GRADEpro GDT 2015). We justified all decisions to down‐ or upgrade the quality (certainty) of studies using footnotes, and made comments to aid the reader's understanding of the review where necessary.

Subgroup analysis and investigation of heterogeneity

We conducted the following subgroup analyses:

  1. proportion of children with AOM by child's health status (AOM‐prone versus not);

  2. proportion of children with AOM by strain of probiotic (Lactobacillus‐containing versus Streptococcus‐containing);

  3. proportion of children using antibiotics (use for AOM versus use for infections other than AOM); and

  4. proportion of children with other infections (acute respiratory infections versus gastrointestinal infections).

We used the Chi2 test to test for subgroup interactions in Review Manager 5 (RevMan 2014).

Sensitivity analysis

We did not conduct any sensitivity analyses, as only a single included study had two domains rated as at high risk of bias (Di Pierro 2016).

Results

Description of studies

Results of the search

We searched six databases (see Electronic searches) and retrieved 1633 records. A backwards (screening of the reference lists) and forwards citation analysis, undertaken in Web of Science on our initial list of included trials, retrieved 952 records for screening, for a total of 2585 records for screening. Our search of two clinical trial registers identified 25 further trials.

After removal of duplicates (from both the search and the citation analysis), a total of 1700 records remained for screening. We excluded 1612 records based on title and abstract. We obtained the full texts of the remaining 88 records. We excluded 69 trials (see Characteristics of excluded studies table). From the 25 clinical trial register results, we identified nine ongoing trials. No trials were awaiting classification.

We included 17 trials reported in 19 references (see Characteristics of included studies table). For a detailed description of our screening process, see the study flow diagram in Figure 1. All included trials came from the original search; the citation analysis and search of trial registries identified no additional trials.

1.

1

Study flow diagram.

Included studies

We included 19 references that reported on 17 randomised clinical trials. Two trials, Maldonado 2012; Taipale 2011, also reported two‐ or three‐year follow‐up data, respectively (Maldonado 2015; Taipale 2016).

Study design

Sixteen RCTs had a two‐arm parallel design, and one RCT had a three‐arm parallel design (Nocerino 2017). Sixteen RCTs randomised by individual, whilst one RCT was a cluster‐randomised study, but also reported numbers for individuals (Stecksen‐Blicks 2009).

Participants

All 17 included RCTs involved children. The mean (or median where reported instead) age ranged from one‐month‐old infants, in Taipale 2011, to 17.5‐year‐olds, in Di Nardo 2014. The trials included a total of 3488 participants, all of whom were children (aged < 18 years old).

Five RCTs reported on children prone to otitis (Cohen 2013a; Hatakka 2007a; Marchisio 2015; Roos 2001a; Tano 2002), whilst the remaining RCTs reported on children not prone to otitis. The definition of 'otitis‐prone' was not clear and may have involved a subjective element.

All of the included trials were performed in Europe: two in Croatia (Hojsak 2010a; Hojsak 2016); four in Finland (Hatakka 2001a; Hatakka 2007a; Rautava 2009; Taipale 2011/Taipale 2016); one in France (Cohen 2013a); five in Italy (Corsello 2017; Di Nardo 2014; Di Pierro 2016; Marchisio 2015; Nocerino 2017); one in Russia (Karpova 2015); one in Spain (Maldonado 2012/Maldonado 2015); and three in Sweden (Roos 2001a; Stecksen‐Blicks 2009; Tano 2002).

Interventions

Two trials included synbiotics, that is a combination of prebiotic and probiotic (Cohen 2013a; Maldonado 2012/Maldonado 2015); the remaining trials tested probiotics consisting of single or multiple bacterial strains. Eleven RCTs evaluated Lactobacillus‐containing probiotics (Corsello 2017; Di Nardo 2014; Hatakka 2001a; Hatakka 2007a; Hojsak 2010a; Hojsak 2016; Maldonado 2012/Maldonado 2015; Nocerino 2017; Rautava 2009; Stecksen‐Blicks 2009; Taipale 2011/Taipale 2016); six RCTs evaluated Streptococcus‐containing probiotics (Cohen 2013a; Di Pierro 2016; Karpova 2015; Marchisio 2015; Roos 2001a; Tano 2002).

The probiotics were administered as powder or drops dissolved in a liquid (e.g. milk or water) in nine RCTs (Cohen 2013a; Corsello 2017; Di Nardo 2014; Hatakka 2001a; Hojsak 2010a; Hojsak 2016; Maldonado 2012/Maldonado 2015; Nocerino 2017; Stecksen‐Blicks 2009); as capsule or tablet in four RCTs (Di Pierro 2016; Hatakka 2007a; Rautava 2009; Taipale 2011/Taipale 2016); and as a spray in four RCTs (Karpova 2015; Marchisio 2015; Roos 2001a; Tano 2002).

Duration of administration of the probiotic ranged from 20 days, in Roos 2001a, to two years, in Taipale 2016.

Two‐arm trials compared probiotic to placebo (15 RCTs) or to untreated group (one RCT; Di Pierro 2016); one three‐arm trial compared two probiotic groups to placebo (Nocerino 2017).

Outcome measures
Primary outcomes

Outcome measures were reported in a variety of ways. The primary outcome, proportion of children with AOM, was reported by all 17 trials, most frequently as the number of children with AOM in each group (Cohen 2013a; Corsello 2017; Di Nardo 2014; Hatakka 2001a; Hatakka 2007a; Hojsak 2010a; Hojsak 2016; Karpova 2015; Marchisio 2015; Nocerino 2017; Rautava 2009; Roos 2001a; Taipale 2011/Taipale 2016; Tano 2002), although some trials reported the number of AOM events in each group, Maldonado 2012/Maldonado 2015, or the mean number of days with otitis media in each group (Stecksen‐Blicks 2009).

No trials reported on severity of AOM.

Fourteen RCTs reported on adverse events, most often narratively. Eight trials stated that no adverse events were reported (Corsello 2017; Di Pierro 2016; Hatakka 2001a; Hojsak 2010a; Hojsak 2016; Maldonado 2012; Nocerino 2017; Stecksen‐Blicks 2009); two trials reported the number of events in each group (Cohen 2013a; Tano 2002); and four trials reported the number of children with events in each group (Marchisio 2015; Rautava 2009; Roos 2001a; Taipale 2011/Taipale 2016).

Secondary outcomes

Only one study reported median duration of AOM episodes (Hatakka 2007a), which reported on the median duration and interquartile range of the AOM episodes in each group.

Five trials reported on difference between groups in the use of antibiotics specifically for AOM (Cohen 2013a; Hojsak 2010a; Karpova 2015; Marchisio 2015; Roos 2001a), either as the number of antibiotic courses in each group, Cohen 2013a, or as the number of children treated with antibiotics for AOM in each group (Hojsak 2010a; Karpova 2015; Marchisio 2015; Roos 2001a). Nine trials reported on difference in the use of antibiotics more generally, for any infection, as the number of antimicrobial treatments or prescriptions per child in each group (Hatakka 2007a; Hojsak 2016; Maldonado 2012); the number of children who received antibiotics in each group (Corsello 2017; Hatakka 2001a; Nocerino 2017; Rautava 2009; Taipale 2011); or the mean number of days with antibiotic treatment (Stecksen‐Blicks 2009).

Five trials reported on time off school for the child, as the mean number of days of absence from school or day care (Corsello 2017; Hatakka 2001a; Hojsak 2010a; Hojsak 2016; Stecksen‐Blicks 2009).

One study reported on time off work for the parent or carer (Corsello 2017), as the mean number of lost days of work for parents.

None of the included trials reported on difference between groups in hearing loss if AOM occurs.

Two trials reported on serous/secretory otitis media (Rautava 2009; Roos 2001a). One study reported on the number of children in each group with secretory otitis media at their last visit (Roos 2001a), and one reported on the number of children in each group requiring tympanostomies to prevent recurrent AOM or to treat secretory otitis media (Rautava 2009).

None of the included trials reported on difference in referrals to specialists.

Difference in other infections was reported in terms of reduction in acute respiratory infections and reductions in gastrointestinal (GI) infections. Fifteen trials reported on difference in respiratory infections, as: mean number of respiratory infections or episodes in each group (Cohen 2013a; Di Nardo 2014; Hatakka 2007a; Maldonado 2012/Maldonado 2015; Tano 2002); number of children with respiratory infections (Corsello 2017; Di Pierro 2016; Hatakka 2001a; Hojsak 2010a; Hojsak 2016; Karpova 2015; Nocerino 2017; Rautava 2009; Taipale 2011/Taipale 2016); or the mean number of days with respiratory symptoms (Stecksen‐Blicks 2009). Eleven trials reported on difference in GI infections, as: the number of children with GI infections in each group (Cohen 2013a; Corsello 2017; Hojsak 2010a; Hojsak 2016; Nocerino 2017; Rautava 2009; Taipale 2011/Taipale 2016); the number of GI infections in each group (Di Nardo 2014; Maldonado 2012/Maldonado 2015); or the mean number of days with GI symptoms (Hatakka 2001a; Stecksen‐Blicks 2009).

Thirteen trials reported on compliance with taking probiotics, as: the number of capsules eaten (Hatakka 2007a); the number of children complying or not complying with treatment (Cohen 2013a; Hojsak 2010a; Hojsak 2016; Marchisio 2015; Taipale 2011); the percentage of days during which consumption exceeded a prespecified amount (Hatakka 2001a); or narratively, for example by stating that the compliance was "good" or the treatment was "well‐received" (Corsello 2017; Di Pierro 2016; Maldonado 2012; Nocerino 2017; Stecksen‐Blicks 2009; Taipale 2011).

One study reported on quality of life measures (Hatakka 2001a), which reported a mean total symptom score for both groups (measuring the overall burden of symptoms on a scale of 0 to 9).

Three trials reported on difference in the use of other treatments (Corsello 2017; Karpova 2015; Nocerino 2017), as the number of children consuming corticosteroids and antipyretics, in Corsello 2017 and Nocerino 2017, or the number of prescriptions for corticosteroids, in Karpova 2015, in each group.

Study funding sources

Funding sources for the included studies are reported in the Characteristics of included studies table.

Two studies did not report funding (Di Pierro 2016; Karpova 2015).

Eight studies were funded at least partially (either financially or in‐kind, e.g. by providing formula or probiotic) by manufacturers of probiotic or formula, but the role of the sponsor in the design, analysis, interpretation, or write‐up of the study was not stated (Cohen 2013a; Hatakka 2001a; Hatakka 2007a; Hojsak 2016; Maldonado 2012; Marchisio 2015; Stecksen‐Blicks 2009; Tano 2002). Three studies reported funding at least partially (either financially or in‐kind, e.g. by providing formula or probiotic) by manufacturers of probiotic or formula, and reported at least some sponsor involvement in study design, analysis, interpretation, or write‐up (Maldonado 2015; Taipale 2011; Taipale 2016).

One study was funded by non‐industry funders, but the role of the sponsor was unclear (Roos 2001a).

Five studies reported funding at least partially by manufacturers and explicitly stated that the funder had no role in the design, analysis, interpretation, or write‐up of the study (Corsello 2017; Di Nardo 2014; Hojsak 2010a; Nocerino 2017; Rautava 2009).

Excluded studies

We excluded 70 trials (Figure 1). The reasons for their exclusion are provided in the Characteristics of excluded studies table.

Risk of bias in included studies

The overall risk of bias of the included trials (Characteristics of included studies table) is presented graphically in Figure 2 and Figure 3.

2.

2

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

3.

3

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

Allocation

Sixteen trials clearly described random sequence generation (Cohen 2013a; Corsello 2017; Di Nardo 2014; Di Pierro 2016; Hatakka 2001a; Hatakka 2007a; Hojsak 2010a; Hojsak 2016; Maldonado 2012/Maldonado 2015; Marchisio 2015; Nocerino 2017; Rautava 2009; Roos 2001a; Stecksen‐Blicks 2009; Taipale 2011/Taipale 2016; Tano 2002). One study was described as randomised, but the method of randomisation was not described, and a table of baseline characteristics to permit evaluation of whether randomisation worked was not provided (Karpova 2015)

Four trials described allocation concealment (Di Nardo 2014; Hojsak 2016; Nocerino 2017; Stecksen‐Blicks 2009). The remaining 13 trials did not describe whether allocation was concealed (Cohen 2013a; Corsello 2017; Di Pierro 2016; Hatakka 2001a; Hatakka 2007a; Hojsak 2010a; Karpova 2015; Maldonado 2012/Maldonado 2015; Marchisio 2015; Rautava 2009; Roos 2001a; Taipale 2011/Taipale 2016; Tano 2002).

Blinding

Fourteen trials were double‐blinded (Cohen 2013a; Corsello 2017; Di Nardo 2014; Hatakka 2001a; Hatakka 2007a; Hojsak 2010a; Hojsak 2016; Marchisio 2015; Nocerino 2017; Rautava 2009; Roos 2001a; Stecksen‐Blicks 2009; Taipale 2011/Taipale 2016; Tano 2002). One study was double‐blinded (Maldonado 2012), but it was not clear whether its three‐year follow‐up was also double‐blinded (Maldonado 2015). One study did not clearly report blinding of participants and personnel (Karpova 2015). One study compared probiotic to no treatment and was thus considered unlikely to be blinded (Di Pierro 2016).

Blinding of outcome assessor occurred in six trials (Corsello 2017; Di Nardo 2014; Hojsak 2010a; Hojsak 2016; Nocerino 2017; Taipale 2011/Taipale 2016). In one study the outcome assessors were blinded (Maldonado 2012), but it was unclear whether this was also the case for the three‐year follow‐up (Maldonado 2015). Blinding was unclear in the remaining 10 trials (Cohen 2013a; Di Pierro 2016; Hatakka 2001a; Hatakka 2007a; Karpova 2015; Marchisio 2015; Rautava 2009; Roos 2001a; Stecksen‐Blicks 2009; Tano 2002).

Incomplete outcome data

Sixteen trials reported attrition in both arms with reasons (Cohen 2013a; Di Nardo 2014; Di Pierro 2016; Hatakka 2001a; Hatakka 2007a; Hojsak 2010a; Hojsak 2016; Karpova 2015; Maldonado 2012/Maldonado 2015; Marchisio 2015; Nocerino 2017; Rautava 2009; Roos 2001a; Stecksen‐Blicks 2009; Taipale 2011/Taipale 2016; Tano 2002). One study reported the attrition for both arms but did not provide reasons for it (Corsello 2017); however, as the attrition was less than 20% in both arms, we judged risk of bias to be low.

Selective reporting

We considered whether the trials reported all of the primary and secondary outcomes specified in their methods sections. We judged 12 trials as at low risk of bias (all prespecified outcomes were reported) (Di Nardo 2014; Di Pierro 2016; Hatakka 2001a; Hatakka 2007a; Hojsak 2010a; Hojsak 2016; Maldonado 2012/Maldonado 2015; Nocerino 2017; Rautava 2009; Roos 2001a; Stecksen‐Blicks 2009; Taipale 2011/Taipale 2016). We assessed five trials as at unclear risk of bias for this domain either because one of the outcomes was unreported (Cohen 2013a; Corsello 2017; Karpova 2015), or because it was not clear which outcomes were primary or secondary (Marchisio 2015; Tano 2002).

Other potential sources of bias

We judged four trials at low risk of other bias (Corsello 2017; Di Nardo 2014; Hojsak 2010a; Nocerino 2017). Three trials were judged at unclear risk of other bias due either to absence of information about or an unclear statement of authors' conflicts of interest (Rautava 2009; Roos 2001a), or failure to report their funding source (Taipale 2016). We assessed 12 trials as at high risk of other bias due to authors' employment with study funder, undeclared conflict of interest, and unstated role of the funder in the study design, analysis, interpretation, and manuscript writing (Cohen 2013a; Di Pierro 2016; Hatakka 2001a; Hatakka 2007a; Hojsak 2016; Karpova 2015; Maldonado 2012/Maldonado 2015; Marchisio 2015; Stecksen‐Blicks 2009; Taipale 2011; Tano 2002).

Effects of interventions

See: Table 1

Primary outcomes

1. Proportion of children with AOM

All 17 RCTs reported on this outcome. Two trials, Maldonado 2012/Maldonado 2015; Stecksen‐Blicks 2009, could not be pooled with the other 15 trials. Maldonado 2012/Maldonado 2015 reported the number of AOM events in each group, rather than the number of children with AOM events in each group. The difference between groups in the number of AOM events was not significant. Stecksen‐Blicks 2009 reported the mean number of days with otitis media; the difference between groups was significant and favoured probiotics: 0.5 days (standard deviation (SD) 2.2) in the probiotic group versus 1.0 (SD 2.7) days in the comparator group, P = 0.003.

We pooled 16 RCTs in three meta‐analyses (Cohen 2013a; Corsello 2017; Di Nardo 2014; Di Pierro 2016; Hatakka 2001a; Hatakka 2007a; Hojsak 2010a; Hojsak 2016; Karpova 2015; Marchisio 2015; Nocerino 2017; Rautava 2009; Roos 2001a; Taipale 2011; Taipale 2016; Tano 2002).

A meta‐analysis of 16 RCTs showed that a smaller proportion of children taking probiotics experienced AOM (risk ratio (RR) 0.77, 95% confidence interval (CI) 0.63 to 0.93; P = 0.006; number needed to treat for an additional beneficial outcome (NNTB) = 10; I2 = 72%; moderate‐certainty evidence; Analysis 1.1).

1.1. Analysis.

1.1

Comparison 1 Probiotics versus placebo or usual care, Outcome 1 Proportion of children with AOM (overall).

The funnel plot revealed asymmetry (Figure 4). We explored the asymmetry by removing from the analysis two studies whose standard error was above 0.5 (Di Nardo 2014; Karpova 2015). Their removal restored symmetry to the funnel plot, but only slightly changed the effect estimate (RR 0.78, 95% CI 0.65 to 0.95; I2 = 73%; P = 0.01).

4.

4

Funnel plot of comparison: 1 Probiotics versus placebo or usual care, outcome: 1.1 Proportion of children with AOM (overall).

A meta‐analysis subgrouping the trials into those that included children who were otitis‐prone, Cohen 2013a; Hatakka 2007a; Marchisio 2015; Roos 2001a; Tano 2002, and those that included children who were not otitis‐prone, Corsello 2017; Di Nardo 2014; Di Pierro 2016; Hatakka 2001a; Hojsak 2010a; Hojsak 2016; Karpova 2015; Nocerino 2017; Rautava 2009; Taipale 2011/Taipale 2016, was not pre‐planned but was possible due to sufficient data. The meta‐analysis showed no significant difference between probiotics and comparator for otitis‐prone children (RR 0.97, 95% CI 0.85 to 1.11; I2 = 32%; P = 0.64). Children who were not prone to otitis media, however, benefited from probiotics, as a smaller proportion experienced AOM (RR 0.64, 95% CI 0.49 to 0.84; I2 = 59%; P = 0.001; NNTB = 9; Analysis 1.2; Table 1). The test for subgroup differences was significant (P = 0.007).

1.2. Analysis.

1.2

Comparison 1 Probiotics versus placebo or usual care, Outcome 2 Proportion of children with AOM (by health status).

A meta‐analysis subgrouping the trials into those that evaluated Lactobacillus‐containing probiotics, Corsello 2017; Di Nardo 2014; Hatakka 2001a; Hatakka 2007a; Hojsak 2010a; Hojsak 2016; Nocerino 2017; Rautava 2009; Taipale 2011/Taipale 2016; Tano 2002, and those that evaluated Streptococcus‐containing probiotics, Cohen 2013a; Di Pierro 2016; Karpova 2015; Marchisio 2015; Roos 2001a; Tano 2002, showed that Lactobacillus‐containing probiotics significantly decreased the proportion of children with AOM (RR 0.72, 95% CI 0.54 to 0.98; I2 = 72%; P = 0.04; NNTB = 13), but this was not the case for Streptococcus‐containing probiotics (RR 0.78, 95% CI 0.60 to 1.02; I2 = 74%; P = 0.07). The test for subgroup differences was not significant (P = 0.70) (Analysis 1.3).

1.3. Analysis.

1.3

Comparison 1 Probiotics versus placebo or usual care, Outcome 3 Proportion of children with AOM (by probiotic strain).

2. Severity of AOM

None of the included trials reported on the severity of AOM.

3. Adverse events

Fourteen trials reported on adverse events.

Eight trials reported on adverse events narratively, all stating that no adverse events were reported (Corsello 2017; Di Pierro 2016; Hatakka 2001a; Hojsak 2010a; Hojsak 2016; Maldonado 2012; Nocerino 2017; Stecksen‐Blicks 2009).

Two trials reported the number of adverse events in the probiotic and comparator groups (Cohen 2013a; Tano 2002). Cohen 2013a reported five adverse events (lack of appetite for milk, regurgitation, dry skin, chronic diarrhoea, and abdominal pain) as likely to have been related to the study; four were in the probiotic group and one was in the comparator group, although it was unclear which event occurred in which group. Tano 2002 reported the following adverse events: rhinitis, cough, rash, nosebleed, and vomiting. The total number of adverse events in the placebo group (n = 5) was higher than in the probiotic group (n = 4), P values were not reported.

Four trials reported on the number of children with adverse events in each group (Marchisio 2015; Rautava 2009; Roos 2001a; Taipale 2011/Taipale 2016). As data from Taipale 2016 reiterate data from Taipale 2011, this study was not pooled in order to avoid double‐counting; the remaining trials were pooled. The results showed no significant difference between groups in the number of children with adverse events (odds ratio (OR) 1.54, 95% CI 0.60 to 3.94; P = 0.37; low‐certainty evidence; Analysis 1.4; Table 1).

1.4. Analysis.

1.4

Comparison 1 Probiotics versus placebo or usual care, Outcome 4 Adverse events.

Secondary outcomes

1. Median duration of AOM episodes

One trial reported on the median duration of AOM episodes (Hatakka 2007a), finding that the median duration of an AOM episode among children taking probiotics was 5.6 days (interquartile range (IQR) 3.5 to 9.4 days), whilst among children taking placebo it was 6.0 days (IQR 4.0 to 10.5 days). The difference between groups was not significant.

2. Difference in the use of antibiotics

Eight trials reported data that could be pooled (Corsello 2017; Hatakka 2001a; Hojsak 2016; Karpova 2015; Marchisio 2015; Nocerino 2017; Rautava 2009; Taipale 2011); the pooled data overall favoured the probiotic group (RR 0.66, 95% CI 0.51 to 0.86; P = 0.002; NNTB = 8; I2 = 70%; moderate‐certainty evidence; Analysis 1.5; Table 1).

1.5. Analysis.

1.5

Comparison 1 Probiotics versus placebo or usual care, Outcome 5 Difference in the use of antibiotics.

There were sufficient data to perform subgroup analyses that were not prespecified in the protocol: use of antibiotics for AOM specifically, and use of antibiotics more generally. However, the test for subgroup differences was not significant (P = 0.96).

Difference between groups in the use of antibiotics was reported specifically for AOM as either the number of antibiotic courses for AOM in each group, in Cohen 2013a, or as the number of children treated with antibiotics for AOM, in Hojsak 2010a; Karpova 2015; Marchisio 2015; Roos 2001a. We pooled the data from the latter studies, excepting the Roos 2001a study, where antibiotics were part of the intervention in both groups. Pooled data showed no difference between groups (RR 0.63, 95% CI 0.30 to 1.32; P = 0.22; I2 = 58%; moderate‐certainty evidence). Data from Cohen 2013a were not pooled but showed no significant difference between groups in the number of antibiotic courses (242 courses per 112 children in the probiotic group versus 226 courses per 112 children in the comparator group; P = 0.45; Analysis 1.5)

Nine trials reported the difference in the use of antibiotics for any infection (other than AOM), as follows: the number of antimicrobial treatments or prescriptions per child (Hatakka 2007a; Hojsak 2016; Maldonado 2012); the number of children who received antibiotics in each group (Corsello 2017; Hatakka 2001a; Nocerino 2017; Rautava 2009; Taipale 2011); or the mean number of days with antibiotic treatment in each group (Stecksen‐Blicks 2009). Data on the number of children receiving antibiotics in each group were pooled, and favoured the probiotic group (RR 0.65, 95% CI 0.45 to 0.92; P = 0.01; NNTB = 6; I2 = 77%; moderate‐certainty evidence; Analysis 1.5). The studies that could not be pooled all showed no significant difference in the use of antibiotics between probiotic and comparator groups (Hatakka 2007a; Hojsak 2016; Maldonado 2012; Stecksen‐Blicks 2009).

However, it is worth noting that effect size estimates for the two subgroups (use of antibiotic for AOM, use of antibiotic for infections other than AOM) are very similar, so it is possible that the non‐significant finding for the former is due to underpowering.

3. Time off school for the child

Five trials reported on the mean number of days of children's absence from school or day care in each group (Corsello 2017; Hatakka 2001a; Hojsak 2010a; Hojsak 2016; Stecksen‐Blicks 2009). Pooled data showed the difference between groups was not significant (mean difference (MD) −0.95 days, 95% CI −2.47 to 0.57; P = 0.22; I2 = 54%; Analysis 1.6).

1.6. Analysis.

1.6

Comparison 1 Probiotics versus placebo or usual care, Outcome 6 Time off school for the child (days).

4. Time off work for the parent or carer

One trial reported on time off work for the child's parent or carer (Corsello 2017). The mean number of lost workdays was significantly lower in the probiotic group (0.6 days, 95% CI 0.2 to 1.0) than in the comparator group (3.3 days, 95% CI 1.1 to 5.5).

5. Difference between groups in hearing loss, if AOM occurs

None of the included trials reported on the difference between groups in hearing loss.

6. Serous/secretory otitis media

Two trials reported on this outcome, one directly, Roos 2001a, and one indirectly, Rautava 2009.

Roos 2001a reported on the number of children with secretory otitis media at last study visit, finding that fewer children in the probiotic group had serous otitis media (19% versus 27%). Rautava 2009 reported on rates of tympanostomy that were performed to either prevent recurrent AOM or to treat secretory otitis media: 0% of children in the probiotic group and 10% in the comparator group required tympanostomy, but the difference was not significant (P = 0.07).

7. Difference in referrals to a specialist

None of the included trials reported on referrals to a specialist.

8. Difference in other infections

Overall, a smaller proportion of children in the probiotic group had infections (RR 0.75, 95% CI 0.65 to 0.87; P < 0.001; NNTB = 12; I2 = 64%; Analysis 1.7; Table 1).

1.7. Analysis.

1.7

Comparison 1 Probiotics versus placebo or usual care, Outcome 7 Difference in proportion of children with other infections.

There were sufficient data to perform the following subgroup analyses not prespecified in the protocol: reduction in acute respiratory infections and reduction in GI infections.

Fifteen trials reported on difference in acute respiratory infections, as follows: mean number of days with respiratory symptoms in each group (Stecksen‐Blicks 2009); mean number of respiratory infections or episodes in each group (Cohen 2013a; Di Nardo 2014; Hatakka 2007a; Maldonado 2012/Maldonado 2015; Tano 2002); or number of children with respiratory infections in each group (Corsello 2017; Di Pierro 2016; Hatakka 2001a; Hojsak 2010a; Hojsak 2016; Karpova 2015; Nocerino 2017; Rautava 2009; Taipale 2011/Taipale 2016).

The mean number of days with respiratory symptoms was lower in the comparator group than in the probiotic group (9.8 days versus 15.4 days, respectively) (Stecksen‐Blicks 2009).

The mean number of respiratory infections or episodes in each group was either not significantly different between groups, Cohen 2013a; Hatakka 2007a; Maldonado 2015; Tano 2002, or significantly lower among children in the probiotic group, Di Nardo 2014; Maldonado 2012.

Data for the number of children with respiratory infections in each group were pooled, showing that a smaller proportion of children in the probiotic group had respiratory infections (RR 0.74, 95% CI 0.62 to 0.88; P < 0.001; NNTB = 11; I2 = 70%; moderate‐certainty evidence; Analysis 1.7) (Corsello 2017; Di Pierro 2016; Hatakka 2001a; Hojsak 2010a; Hojsak 2016; Karpova 2015; Nocerino 2017; Rautava 2009; Taipale 2011/Taipale 2016).

Eleven trials reported on difference in GI infections, as follows: mean number of days with GI symptoms in each group (Hatakka 2001a; Stecksen‐Blicks 2009); number of GI infections in each group (Di Nardo 2014; Maldonado 2012/Maldonado 2015); or number of children with GI infections (Cohen 2013a; Corsello 2017; Hojsak 2010a; Hojsak 2016; Nocerino 2017; Rautava 2009; Taipale 2011/Taipale 2016).

In one trial the mean number of days with GI symptoms did not differ significantly between groups (Hatakka 2001a), whilst in another trial, it was lower in the control group (1.1, SD 1.8) than in the probiotic group (1.7, SD 2.3) (intracluster coefficient 0.16) (Stecksen‐Blicks 2009).

In one trial the number of GI infections in each group did not differ significantly between groups (Di Nardo 2014). In another trial there were significantly more GI events in the probiotic group than in the control group (incidence rate decrease 46%, P = 0.032) (Maldonado 2012), but not in the three‐year follow‐up (P = 0.947) (Maldonado 2015).

Data for studies that reported the number of children with GI infections in each group were pooled (Cohen 2013a; Corsello 2017; Hojsak 2010a; Hojsak 2016; Nocerino 2017; Rautava 2009; Taipale 2011/Taipale 2016), showing no difference between groups in the proportion of children with GI infections (RR 0.78, 95% CI 0.57 to 1.06; P = 0.11; I2 = 61%; moderate‐certainty evidence; Analysis 1.7).

Test for subgroup differences was not significant (P = 0.76).

9. Compliance with taking probiotics

Thirteen trials reported compliance with taking probiotics. Six trials reported on this outcome narratively, all stating that compliance was "good" or that the treatment was "well‐received" (Corsello 2017; Di Pierro 2016; Maldonado 2012; Nocerino 2017; Stecksen‐Blicks 2009; Taipale 2011). One trial reported on the percentage of capsules consumed (Hatakka 2007a), which was 96% in both groups. One trial reported the percentage of days during which consumption exceeded a prespecified amount (Hatakka 2001a), which was 60% in both groups. Five trials reported on the number of children complying or not complying with treatment (Cohen 2013a; Hojsak 2010a; Hojsak 2016; Marchisio 2015; Taipale 2016), permitting the pooling of data. Pooled data showed no significant difference between groups in compliance (RR 1.02, 95% CI 0.99 to 1.05; P = 0.21; I2 = 0%; Analysis 1.8).

1.8. Analysis.

1.8

Comparison 1 Probiotics versus placebo or usual care, Outcome 8 Compliance with taking probiotics.

10. Quality of life measures

Hatakka 2001a reported on quality of life using the total symptom score (defined as a measure of the overall symptom burden, which consisted of the sum of all of the recorded symptoms ranging from 0 to 9). The difference between groups was not significant, with a mean unadjusted score of 34 in the probiotic group (95% CI 30 to 39) and 40 in the control group (95% CI 35 to 46), P = 0.10. Mean age‐adjusted scores also did not differ significantly: the mean score was 36 for the probiotic group (95% CI 32 to 40) and 39 for the control group (95% CI 34 to 44), P = 0.36.

11. Difference in use of other treatments

Three trials reported on the difference between groups in the use of other treatments (Corsello 2017; Karpova 2015; Nocerino 2017).

Corsello 2017 reported a significantly lower use of antipyretics (P = 0.044) and corticosteroids (P = 0.027) in the probiotic group compared to the placebo group.

Nocerino 2017 reported a significantly lower use of antipyretics in one probiotic group (rice with Lactobacillus paracasei CBA L74, P = 0.001) and lower use of antipyretics in another probiotic group (milk with Lactobacillus paracasei CBA L74, P = 0.058) than in placebo. The study authors also reported a significantly lower use of corticosteroids in one probiotic group (milk with Lactobacillus paracasei, P = 0.001) and lower use of corticosteroids in another probiotic group (rice with Lactobacillus paracasei, P = 0.07) than in placebo.

Karpova 2015 reported that 47% children in the probiotic group, compared to 93% in the control group, had prescriptions of intranasal corticosteroids (however, an inclusion criterion of this study was children with signs of chronic adenoiditis).

Discussion

Summary of main results

This review suggests that probiotics prevent AOM, the primary outcome, by a clinically important amount. However, a subgroup analysis (not planned a priori) suggests that this effect was evident only in children who were not otitis‐prone; the effect was not observed for otitis‐prone children (as defined by studies themselves, and it is worth noting that the definition was not always clear and may have involved a subjective element). This is consistent with results from clinical trials of pneumococcal conjugate vaccines, which found a modest benefit for those already at low risk of AOM, but no protective effect for those with established recurrent disease, including otitis‐prone children (Fortanier 2014). These findings may be due to clinical, pathological, and particularly immunological differences between children who are otitis‐prone and those who are not otitis‐prone (Pichichero 2016; Xu 2016).

Alternatively, there may be a methodological effect from increased bias, such as publication bias, of trials of children not prone to otitis media. Testing for publication bias by funnel plot does not support this, but statistical methods for determining publication bias are notoriously insensitive (Higgins 2011).

Another possibility is that any intervention effect is under‐reported: diagnosis of AOM is notoriously difficult and frequently relies upon subjective clinical judgement (Pirozzo 2000). Some RCTs of interventions for AOM require special training in the diagnosis of AOM for participating clinicians, since overdiagnosis of AOM would decrease the intervention effect (Hoberman 2016). This is also problematic where allocation concealment and blinding of outcomes are incomplete, which even subconsciously risks influencing diagnostic behaviour, resulting in a potential misclassification bias.

However, efficacy was supported by some secondary outcomes: decreased infections other than AOM (for acute respiratory infections if not GI infections) and overall decreased antibiotic use (although unexpectedly for infections other than AOM, but not for AOM itself). Nevertheless, given the considerable variation in the probiotic strains trialled, their frequency, and duration of administration across studies, the optimal regimen is currently unclear. Further large and well‐conducted RCTs, testing a range of probiotic strains and administration regimens (frequency, dose, duration), as well as collecting data on outcomes for which there is currently very limited evidence (e.g. severity of AOM, duration of AOM episodes, need for antibiotics, time off work for carer, hearing loss, referrals to specialists, and quality of life) may therefore help to resolve doubts about the real effectiveness of probiotics.

The pooled results found no consistent increase in adverse effects.

Overall completeness and applicability of evidence

We searched six distinct databases with no language restriction and searched trials registers, supplemented by forward‐ and backward‐searching of cited works. However, we did not contact authors for additional research, nor did we handsearch conference proceedings, partly because there are no obvious conference candidates for this.

The volume of evidence varied considerably among the outcomes. There was sufficient evidence to perform meta‐analyses for two of the primary outcomes (proportion of children with AOM and adverse events), but none of the included studies reported on the primary outcome severity of AOM.

The volume of evidence varied for the secondary outcomes. There was sufficient evidence to perform meta‐analyses for four secondary outcomes (difference in the use of antibiotics, time off school for the child, difference in other infections, compliance with taking probiotics). Seven of the secondary outcomes were not meta‐analysable. This was due to variability of reporting (difference in use of other treatments outcome) or paucity of evidence (two trials reported on the serous/secretory otitis media outcome; one trial reported on each of the following outcomes: median duration of AOM episodes, time off work for parent/carer, quality of life). No trials reported on referrals to specialist or difference in hearing loss between groups.

Quality of the evidence

We assessed the quality (certainty) of the evidence as moderate for most of the outcomes reported in the Table 1, including: proportion of children with AOM overall, proportion of children with AOM among children not prone to AOM, antibiotic use, and proportion of children with other infections. We assessed the quality of the evidence for one outcome ‐ proportion of children with AOM among children who were prone to AOM ‐ as high. No studies reported on the severity of AOM, therefore no quality of evidence rating was assigned. Risk of bias among the included studies was mostly related to allocation concealment, blinding of outcomes, and conflicts of interest and unclear role of funders in the trials.

Potential biases in the review process

Both clinical heterogeneity (especially from the disparate probiotic strains) and statistical heterogeneity confirmed our protocol‐declared use of random‐effects model analysis to avoid making inappropriate assumptions about the trials testing similar interventions. Heterogeneity was the principal reason for marking down the certainty of the evidence in the GRADE assessment (Table 1).

Biases could have arisen due to differences between the protocol and the systematic review (see the Differences between protocol and review section), in particular from: the broadening of the population (from children diagnosed with AOM to any children); omission of three of the prespecified subgroup analyses (one due to broadening of the population, two due to paucity of evidence); two subgroup analyses performed due to unanticipated availability of data (difference in the use of antibiotics, reduction in other infections). We did not perform sensitivity analysis (as only one included study was rated as having two domains at high risk of bias); the primary outcome was originally specified as incidence of AOM, but was reported as proportion of children with AOM (due to variation in time points at which studies reported the outcome); and several outcomes had to be omitted, whilst others were added to the Table 1 due to paucity or availability of evidence, respectively.

Agreements and disagreements with other studies or reviews

A previous systematic review found some evidence (in 4 out of 14 RCTs) for efficacy of probiotics as prophylaxis against the symptoms, but not the incidence, of acute respiratory tract infections in 3764 adults and children (Vouloumanou 2009). No meta‐analysis was undertaken due to perceived heterogeneity of the interventions, populations, and diseases. A more recent systematic review and meta‐analysis of 15 RCTs restricted to 5121 children also found evidence for a preventive reduction in the duration of acute respiratory tract infections (including AOM as a secondary outcome) in three of the trials, by about 0.75 of a day per year (Laursen 2018). (The authors were able to extract unpublished AOM‐specific data from their own RCT, which was one of the trials included in the meta‐analysis, Laursen 2017b).

It thus seems that our review is in accordance with this older literature.

Authors' conclusions

Implications for practice.

A range of different probiotics may provide protection against acute otitis media (AOM) in children not prone to AOM, although it is possible that this effect is due to a bias not detected by our methods (such as publication bias, to account for the unexpected finding of better efficacy for non‐otitis‐prone children than otitis‐prone ones, notwithstanding several biologically plausible explanations).

Many uncertainties remain about the use of probiotics to protect children from AOM: not just the concern that this is not a real effect (from bias distortion), but also about the nature of the intervention (can standard preparations of the probiotic be sourced for wholesale clinical practice), and a persistent concern that there may be insufficient data about safety from long‐term observational trials (even though some trial data suggest they are safe in immunocompetent people) (Cohen 2018).

Uncertainties about the optimal strain, as well as the duration, frequency, and timing of probiotics administration, hamper the interpretation of results.

Implications for research.

There is a clear need for more, and larger, well‐conducted randomised controlled trials to test readily available probiotic preparations for AOM. Those randomised controlled trials should evaluate a variety of probiotic strains, as well as the duration, frequency, and timing of probiotic administration, as the optimal regimen is currently unclear. There is also either a paucity or an absence of evidence on the impact of probiotics on severity of AOM, median duration of AOM episodes, need for use of antibiotics, antimicrobial resistance, time off work for parent or carer, hearing loss, referrals to specialists, and quality of life (using validated tools). Uniform reporting of outcomes is crucial ‐ for example reporting of antibiotic use varied significantly (e.g. as number of antibiotic courses, per cent of participants taking antibiotics, mean number of antibiotics prescriptions, days with antibiotic treatment, etc.), limiting its interpretive value. Finally, identifying children most likely to benefit from probiotics is an important research goal. This might include determining whether probiotics administered from shortly after birth protect high‐risk (e.g. Indigenous) infants from AOM during the first years of life.

Acknowledgements

The authors would like to acknowledge and thank the authors of Crosby 2004, whose withdrawn protocol partly informed development of a re‐developed protocol for this topic. Parts of the Background are based on a Cochrane Review by Venekamp 2015. One of the current authors (CDM) of this review is also an author on Crosby 2004 and Venekamp 2015. The Methods section of this protocol is based on a standard template developed by the Cochrane Airways Group and adapted by the Cochrane Acute Respiratory Infections Group. We wish to thank the following people for commenting on the draft of this protocol: Catherine Marshall, Jenny Negus, Roderick Venekamp, Tal Marom, Robert Ware, and Zulfiqar Bhutta. We wish to thank the following people for peer‐reviewing the draft of this review: Roderick Venekamp, Daniel Merenstein, Rob Ware, Esther Martin, Janet Waddell, and An De Sutter. We also wish to thank Mark Jones for his statistical advice.

Appendices

Appendix 1. Bibliographic database search strategies

PubMed (National Library of Medicine)

(Probiotics[Mesh] OR "Synbiotics"[Mesh] OR Lactobacillus[Mesh] OR Bifidobacterium[Mesh] OR Saccharomyces[Mesh] OR "Streptococcus thermophilus"[Mesh] OR "Cultured Milk Products"[Mesh] OR Antibiosis[Mesh] OR "Lactococcus"[Mesh] OR Probiotics[tiab] OR Probiotic[tiab] OR Synbiotics[tiab] OR Synbiotic[tiab] OR Lactobacillus[tiab] OR Lactobacilli[tiab] OR Bifidobacteria[tiab] OR Bifidobacterium[tiab] OR Saccharomyces[tiab] OR Saccharomyce[tiab] OR “Microbial dietary supplements”[tiab] OR Yoghurt[tiab] OR “Fermented milk”[tiab] OR “Cultured Milk”[tiab] OR “Fermented Dairy”[tiab] OR Acidophilus[tiab] OR Antibiosis[tiab] OR “Microbial Antagonism”[tiab] OR “Microbial Antagonisms”[tiab] OR “Bacterial Interferences”[tiab] OR “Bacterial Interference”[tiab] OR "Streptococcus thermophilus"[tiab] OR “Bacillus laterosporus”[tiab] OR “Pediococcus acidilactici”[tiab] OR Lactococcus[tiab] OR Lactis[tiab])

AND

("Respiratory Tract Infections"[Mesh] OR "Respiratory tract infection"[tiab] OR "Respiratory tract infections"[tiab] OR "Respiratory infection"[tiab] OR "Respiratory infections"[tiab] OR urti[tiab] OR uri[tiab] OR ari[tiab] OR "Otitis Media"[Mesh] OR "Otitis Media"[tiab] OR “Glue ear”[tiab] OR AOM[tiab] OR OME[tiab] OR (“Middle Ear”[tiab] AND (Infection[tiab] OR Infections[tiab] OR Inflammation[tiab] OR Inflammations[tiab])))

AND

((Randomized controlled trial[pt] OR controlled clinical trial[pt] OR randomized[tiab] OR randomised[tiab] OR placebo[tiab] OR "drug therapy"[sh] OR randomly[tiab] OR trial[tiab] OR groups[tiab])

NOT

(Animals[Mesh] not (Animals[Mesh] and Humans[Mesh])))

CENTRAL (Cochrane Central Register of Controlled Trials)

([mh Probiotics] OR [mh Synbiotics] OR [mh Lactobacillus] OR [mh Bifidobacterium] OR [mh Saccharomyces] OR [mh "Streptococcus thermophilus"] OR [mh "Cultured Milk Products"] OR [mh Antibiosis] OR [mh Lactococcus] OR Probiotics:ti,ab OR Probiotic:ti,ab OR Synbiotics:ti,ab OR Synbiotic:ti,ab OR Lactobacillus:ti,ab OR Lactobacilli:ti,ab OR Bifidobacteria:ti,ab OR Bifidobacterium:ti,ab OR Saccharomyces:ti,ab OR Saccharomyce:ti,ab OR "Microbial dietary supplements":ti,ab OR Yoghurt:ti,ab OR "Fermented milk":ti,ab OR "Cultured Milk":ti,ab OR "Fermented Dairy":ti,ab OR Acidophilus:ti,ab OR Antibiosis:ti,ab OR "Microbial Antagonism":ti,ab OR "Microbial Antagonisms":ti,ab OR "Bacterial Interferences":ti,ab OR "Bacterial Interference":ti,ab OR "Streptococcus thermophilus":ti,ab OR "Bacillus laterosporus":ti,ab OR "Pediococcus acidilactici":ti,ab OR Lactococcus:ti,ab OR Lactis:ti,ab)

AND

([mh "Respiratory Tract Infections"] OR "Respiratory tract infection":ti,ab OR "Respiratory tract infections":ti,ab OR "Respiratory infection":ti,ab OR "Respiratory infections":ti,ab OR urti:ti,ab OR uri:ti,ab OR ari:ti,ab OR [mh "Otitis Media"] OR "Otitis Media":ti,ab OR "Glue ear":ti,ab OR AOM:ti,ab OR OME:ti,ab OR ("Middle Ear":ti,ab AND (Infection:ti,ab OR Infections:ti,ab OR Inflammation:ti,ab OR Inflammations:ti,ab)))

Embase (via Elsevier)

('probiotic agent'/exp OR 'synbiotic agent'/exp OR 'Lactobacillus'/exp OR 'Bifidobacterium'/exp OR 'Saccharomyces'/exp OR 'Streptococcus thermophilus'/exp OR 'fermented milk product'/exp OR 'Antibiosis'/exp OR 'Lactococcus'/exp OR Probiotics:ti,ab OR Probiotic:ti,ab OR Synbiotics:ti,ab OR Synbiotic:ti,ab OR Lactobacillus:ti,ab OR Lactobacilli:ti,ab OR Bifidobacteria:ti,ab OR Bifidobacterium:ti,ab OR Saccharomyces:ti,ab OR Saccharomyce:ti,ab OR "Microbial dietary supplements":ti,ab OR Yoghurt:ti,ab OR "Fermented milk":ti,ab OR "Cultured Milk":ti,ab OR "Fermented Dairy":ti,ab OR Acidophilus:ti,ab OR Antibiosis:ti,ab OR "Microbial Antagonism":ti,ab OR "Microbial Antagonisms":ti,ab OR "Bacterial Interferences":ti,ab OR "Bacterial Interference":ti,ab OR "Streptococcus thermophilus":ti,ab OR "Bacillus laterosporus":ti,ab OR "Pediococcus acidilactici":ti,ab OR Lactococcus:ti,ab OR Lactis:ti,ab)

AND

('respiratory tract infection'/exp OR "Respiratory tract infection":ti,ab OR "Respiratory tract infections":ti,ab OR "Respiratory infection":ti,ab OR "Respiratory infections":ti,ab OR urti:ti,ab OR uri:ti,ab OR ari:ti,ab OR 'Otitis Media'/exp OR "Otitis Media":ti,ab OR "Glue ear":ti,ab OR AOM:ti,ab OR OME:ti,ab OR ("Middle Ear":ti,ab AND (Infection:ti,ab OR Infections:ti,ab OR Inflammation:ti,ab OR Inflammations:ti,ab)))

AND

(random* OR factorial OR crossover OR placebo OR blind OR blinded OR assign OR assigned OR allocate OR allocated OR 'crossover procedure'/exp OR 'double‐blind procedure'/exp OR 'randomized controlled trial'/exp OR 'single‐blind procedure'/exp NOT ('animal'/exp NOT ('animal'/exp AND 'human'/exp)))

AND

[embase]/lim

CINAHL

((MH "Probiotics+") OR (MH "Lactobacillus+") OR (MH "Bifidobacterium+") OR (MH "Saccharomyces+") OR (MH "Streptococcus+") OR (MH "Cultured Milk Products+") OR (MH "Antibiosis+") OR TI Probiotics OR AB Probiotics OR TI Probiotic OR AB Probiotic OR TI Synbiotics OR AB Synbiotics OR TI Synbiotic OR AB Synbiotic OR TI Lactobacillus OR AB Lactobacillus OR TI Lactobacilli OR AB Lactobacilli OR TI Bifidobacteria OR AB Bifidobacteria OR TI Bifidobacterium OR AB Bifidobacterium OR TI Saccharomyces OR AB Saccharomyces OR TI Saccharomyce OR AB Saccharomyce OR TI "Microbial dietary supplements" OR AB "Microbial dietary supplements" OR TI Yoghurt OR AB Yoghurt OR TI "Fermented milk" OR AB "Fermented milk" OR TI "Cultured Milk" OR AB "Cultured Milk" OR TI "Fermented Dairy" OR AB "Fermented Dairy" OR TI Acidophilus OR AB Acidophilus OR TI Antibiosis OR AB Antibiosis OR TI "Microbial Antagonism" OR AB "Microbial Antagonism" OR TI "Microbial Antagonisms" OR AB "Microbial Antagonisms" OR TI "Bacterial Interferences" OR AB "Bacterial Interferences" OR TI "Bacterial Interference" OR AB "Bacterial Interference" OR TI "Streptococcus thermophilus" OR AB "Streptococcus thermophilus" OR TI "Bacillus laterosporus" OR AB "Bacillus laterosporus" OR TI "Pediococcus acidilactici" OR AB "Pediococcus acidilactici" OR TI Lactococcus OR AB Lactococcus OR TI Lactis OR AB Lactis)

AND

((MH "Respiratory Tract Infections+") OR TI "Respiratory tract infection" OR AB "Respiratory tract infection" OR TI "Respiratory tract infections" OR AB "Respiratory tract infections" OR TI "Respiratory infection" OR AB "Respiratory infection" OR TI "Respiratory infections" OR AB "Respiratory infections" OR TI urti OR AB urti OR TI uri OR AB uri OR TI ari OR AB ari OR (MH "Otitis Media+") OR TI "Otitis Media" OR AB "Otitis Media" OR TI "Glue ear" OR AB "Glue ear" OR TI AOM OR AB AOM OR TI OME OR AB OME OR (TI "Middle Ear" OR AB "Middle Ear" AND (TI Infection OR AB Infection OR TI Infections OR AB Infections OR TI Inflammation OR AB Inflammation OR TI Inflammations OR AB Inflammations)))

AND

((MH "Clinical Trials+") OR (MH "Quantitative Studies") OR TI placebo* OR AB placebo* OR (MH "Placebos") OR (MH "Random Assignment") OR TI random* OR AB random* OR TI ((singl* or doubl* or tripl* or trebl*) W1 (blind* or mask*)) OR AB ((singl* or doubl* or tripl* or trebl*) W1 (blind* or mask*)) OR TI clinic* trial* OR AB clinic* trial* OR PT clinical trial)

Web of Science

(Probiotics OR Synbiotics OR Lactobacillus OR Bifidobacterium OR Saccharomyces OR "Streptococcus thermophilus" OR "Cultured Milk Products" OR Antibiosis OR Lactococcus OR Probiotics OR Probiotic OR Synbiotics OR Synbiotic OR Lactobacillus OR Lactobacilli OR Bifidobacteria OR Bifidobacterium OR Saccharomyces OR Saccharomyce OR "Microbial dietary supplements" OR Yoghurt OR "Fermented milk" OR "Cultured Milk" OR "Fermented Dairy" OR Acidophilus OR Antibiosis OR "Microbial Antagonism" OR "Microbial Antagonisms" OR "Bacterial Interferences" OR "Bacterial Interference" OR "Streptococcus thermophilus" OR "Bacillus laterosporus" OR "Pediococcus acidilactici" OR Lactococcus OR Lactis)

AND

("Respiratory Tract Infections" OR "Respiratory tract infection" OR "Respiratory tract infections" OR "Respiratory infection" OR "Respiratory infections" OR urti OR uri OR ari OR "Otitis Media" OR "Otitis Media" OR "Glue ear" OR AOM OR OME OR ("Middle Ear" AND (Infection OR Infections OR Inflammation OR Inflammations)))

AND

(TS=(random* or placebo* or allocat* or crossover* or "cross over" or ((singl* or doubl*) NEAR/1 blind*)) OR TI=(trial))

LILACS

(Probiotics OR Synbiotics OR Lactobacillus OR Bifidobacterium OR Saccharomyces OR "Streptococcus thermophilus" OR "Cultured Milk Products" OR Antibiosis OR Lactococcus OR Probiotics OR Probiotic OR Synbiotics OR Synbiotic OR Lactobacillus OR Lactobacilli OR Bifidobacteria OR Bifidobacterium OR Saccharomyces OR Saccharomyce OR "Microbial dietary supplements" OR Yoghurt OR "Fermented milk" OR "Cultured Milk" OR "Fermented Dairy" OR Acidophilus OR Antibiosis OR "Microbial Antagonism" OR "Microbial Antagonisms" OR "Bacterial Interferences" OR "Bacterial Interference" OR "Streptococcus thermophilus" OR "Bacillus laterosporus" OR "Pediococcus acidilactici" OR Lactococcus OR Lactis)

AND

("Respiratory Tract Infections" OR "Respiratory tract infection" OR "Respiratory tract infections" OR "Respiratory infection" OR "Respiratory infections" OR urti OR uri OR ari OR "Otitis Media" OR "Otitis Media" OR "Glue ear" OR AOM OR OME OR ("Middle Ear" AND (Infection OR Infections OR Inflammation OR Inflammations)))

AND

(random* or placebo* or allocat* or crossover* or "cross over" or blind* OR trial)

Appendix 2. Trial registry search strategies

ClinicalTrials.gov

(Probiotics OR Probiotic OR Synbiotics OR Synbiotic OR Lactobacillus OR Lactobacilli OR milk OR Acidophilus OR Yoghurt) AND ("Otitis Media" OR "Glue ear" OR AOM OR OME OR "Middle Ear Infection")

WHO ICTRP

Probiotics AND "Otitis Media" OR Probiotic AND "Otitis Media" OR Synbiotics AND "Otitis Media" OR Synbiotic AND "Otitis Media" OR Lactobacillus AND "Otitis Media" OR Lactobacilli AND "Otitis Media" OR milk AND "Otitis Media" OR Acidophilus AND "Otitis Media" OR Yoghurt AND "Otitis Media"

Data and analyses

Comparison 1. Probiotics versus placebo or usual care.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
1 Proportion of children with AOM (overall) 16 2961 Risk Ratio (M‐H, Random, 95% CI) 0.77 [0.63, 0.93]
2 Proportion of children with AOM (by health status) 16 2961 Risk Ratio (M‐H, Random, 95% CI) 0.77 [0.63, 0.93]
2.1 Children prone to otitis media 5 734 Risk Ratio (M‐H, Random, 95% CI) 0.97 [0.85, 1.11]
2.2 Children not prone to otitis media 11 2227 Risk Ratio (M‐H, Random, 95% CI) 0.64 [0.49, 0.84]
3 Proportion of children with AOM (by probiotic strain) 16 2961 Risk Ratio (M‐H, Random, 95% CI) 0.77 [0.63, 0.93]
3.1 Lactobacillus‐containing 10 2055 Risk Ratio (M‐H, Random, 95% CI) 0.72 [0.54, 0.98]
3.2 Streptococcus‐containing 6 906 Risk Ratio (M‐H, Random, 95% CI) 0.78 [0.60, 1.02]
4 Adverse events 4 395 Odds Ratio (M‐H, Random, 95% CI) 1.54 [0.60, 3.94]
5 Difference in the use of antibiotics 8 1768 Risk Ratio (M‐H, Random, 95% CI) 0.66 [0.51, 0.86]
5.1 Use of antibiotic for AOM 3 597 Risk Ratio (M‐H, Random, 95% CI) 0.63 [0.30, 1.32]
5.2 Use of antibiotic for other infections 5 1171 Risk Ratio (M‐H, Random, 95% CI) 0.65 [0.45, 0.92]
6 Time off school for the child (days) 5 1280 Mean Difference (IV, Random, 95% CI) ‐0.95 [‐2.47, 0.57]
7 Difference in proportion of children with other infections 11 3610 Risk Ratio (M‐H, Random, 95% CI) 0.75 [0.65, 0.87]
7.1 Acute respiratory infections 10 2167 Risk Ratio (M‐H, Random, 95% CI) 0.74 [0.62, 0.88]
7.2 Gastrointestinal infections 8 1443 Risk Ratio (M‐H, Random, 95% CI) 0.78 [0.57, 1.06]
8 Compliance with taking probiotics 6 990 Risk Ratio (M‐H, Random, 95% CI) 1.02 [0.99, 1.05]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Cohen 2013a.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: centralised randomisation without stratification was used with the Trial Balance programme on an Internet‐based server to assign participants to groups
Blinding: double‐blind
Duration: 12 months
Exclusions postrandomisation: 236 randomised, 12 declined postrandomisation, 224 enrolled
Losses to follow‐up:
Stage 1: probiotic group: 11 dropouts due to non‐compliance with overall follow‐up; control group: 11 dropouts due to non‐compliance with overall follow‐up
Subsequently: probiotic group: 18 (8 due to non‐compliance with treatment, 4 for personal reasons, 1 adenoidectomy scheduled, 1 adenoidectomy, 2 unknown, 5 adverse events); control group: 18 (9 non‐compliance with treatment, 6 personal reasons, 1 adenoidectomy, 1 ichthyosis, 1 unknown, 1 tympanostomy)
Participants Country: France
Setting: children were enrolled by paediatricians
Number of participants: 236 randomised (224 enrolled): 112 probiotic/prebiotic group, 112 control
Age (mean +/‐ SD): 10.2 +/‐ 1.7 months
Inclusion criteria: healthy infants, 7 to 13 months old, full‐term birth, weight ≥ 6 kg at enrolment, AOM at the pre‐inclusion visit treated with an antibiotic based on French guidelines and able to tolerate oral formula of 300 mL per day, at high risk of AOM (exposed to other children via day‐care centre attendance or with ≥ 2 siblings), history of at least 1 episode of AOM before the current one
Exclusion criteria: twins, children with underlying chronic disease, allergy to cow's milk protein, or participating in another clinical study
Interventions Treatment group: NAN 3 formula with probiotic (Streptococcus thermophilus nCC 2496, Streptococcus salivarius dSM 13084, Lactobacillus rhamnosus lPr CgMCC 1.3724) and preB (raftilose/raftiline). Dose: S thermophilus: 1 × 107 CFU/g, S salivarius: 2.5 × 107 CFU/g, L rhamnosus: 1 × 107 CFU/g; aiming for 300 to 630 mL of formula consumed per day, for 12 months
Comparator group: NAN 3 formula alone (placebo); aiming for 300 to 630 mL consumed per day, for 12 months
Outcomes Primary outcome(s): incidence of AOM in each group in the 12 months
Secondary outcome(s): URTI incidence, LRTI incidence, number of antibiotic treatment courses, number of children without a new episode of AOM, number of children with recurring AOM (3 episodes in 6 months or 4 episodes in 12 months)
Notes Authors’ COIs: 1 of the authors employed by study funder
Funding: financial support provided by Nestle. Role of the funder in design, collection, analysis, interpretation of data, the writing of the manuscript, decision to submit the manuscript was not reported.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Centralised randomisation without stratification was used with the Trial Balance programme to assign participants to groups.
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Study described as "double blind".
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk NR
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons provided.
Selective reporting (reporting bias) Unclear risk All outcomes reported except incidence of URTIs (a secondary outcome).
Other bias High risk 1 of the authors employed by study funder.
Financial support provided by Nestle. Role of the funder in design, collection, analysis, interpretation of data, the writing of the manuscript, decision to submit the manuscript not reported.
Other authors state no conflicts of interest or other funding to disclose.

Corsello 2017.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: randomisation was based on a list with consecutive numbers with an allocation ratio of 1:1 between groups
Blinding: double‐blind
Duration: 90 days
Exclusions postrandomisation: no child refused to participate after randomisation, and all of the children received the allocated intervention
Losses to follow‐up: probiotic 7 (reasons NR); placebo 13 (reasons NR)
Participants Country: Italy
Setting: children in the Italian public health system; recruited by paediatricians
Number of participants: 146 randomised: 73 treatment group; 73 comparator group
Age (mean +/‐ SD): 33 +/‐ 9 months
Inclusion criteria: healthy children aged 12 to 48 months who were attending day care or preschool at least 5 days a week and who were regularly checked by the paediatricians involved in the trial were considered for the study, and were consecutively contacted during scheduled medical examinations at the paediatrician's office
Exclusion criteria: age < 12 months or > 48 months, concomitant chronic infections, chronic systemic diseases, chronic inflammatory bowel diseases, autoimmune diseases, immunodeficiency, malignancy, metabolic diseases, chronic respiratory tract diseases including respiratory allergies and cystic fibrosis, malformations of gastrointestinal or urinary or respiratory tract, history of respiratory or gastrointestinal or urinary tract surgery, congenital cardiac defects, functional bowel disorders, suspected or challenge‐proven food allergy, food intolerances, severe malnutrition (Z‐score for weight‐for‐height < 3 SD scores), and use of antibiotics or pre/pro/synbiotics or immune‐stimulating products in the 2 weeks before study enrolment. Siblings of participants enrolled in the study were not allowed to participate in the trial.
Interventions Treatment group: 7 g cow's skim milk fermented with Lactobacillus paracasei (CBA L74), daily, for 90 days
Comparator group: placebo (maltodextrins, with an energy content similar to that of the fermented milk), daily, for 90 days
Outcomes Primary outcome(s): the rate of children experiencing at least 1 episode of common infectious disease
Secondary outcome(s): total number of common infectious diseases, use of medications (antibiotics, antipyretics, corticosteroids), emergency department medical examinations, hospitalisations, days of work lost by the parents, days of school lost by the children, faecal levels of α‐ and β‐defensins, cathelicidin (LL‐37), and secretory immunoglobulin A (sIgA), adverse events
Notes Authors’ COIs: the authors declare they have no conflict of interest.
Funding: unrestricted grant from Heinz Italia (affiliate of Kraft Heinz Company). The funder had no influence on design, collection, analysis, interpretation of data, the writing of the manuscript, or the decision to submit the manuscript.
The trialled probiotic was manufactured by Heinz Italia SpA.
Note regarding meta‐analysis: the study reports separate numbers for rhinitis, pharyngitis, laryngitis, tracheitis, otitis, for "common infectious diseases observed during the study period". For the 'difference in other infections' (ARIs) outcome, we reported the numbers for rhinitis only so as not to double count participants; when the numbers of all ARIs (rhinitis, pharyngitis, laryngitis, tracheitis, AOM) were added, they exceeded the number of children in the group, suggesting that at least some of the children had more than 1 ARI during the study.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk The study is described as randomised; baseline characteristics appear similar (Table 2).
Allocation concealment (selection bias) Unclear risk Not clearly reported
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk The investigators were blinded to the treatment at all times. Intervention and control were in similar packaging, and products appeared the same.
Blinding of outcome assessment (detection bias) 
 All outcomes Low risk A biostatistician blinded to the treatment allocation performed the statistical analysis.
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition was reported for both arms, but no reasons provided. As attrition was less than 20% in both arms, we judged the risk of bias to be low.
Selective reporting (reporting bias) Unclear risk Emergency department visits (secondary outcome) not reported
Other bias Low risk Authors’ COIs: the authors declare they have no conflict of interest.
Funding: unrestricted grant from Heinz Italia (affiliate of Kraft Heinz Company). The funder had no influence on design, collection, analysis, interpretation of data, the writing of the manuscript, decision to submit the manuscript.
The trialled probiotic was manufactured by Heinz Italia SpA.

Di Nardo 2014.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: allocation schedule was computer generated, using a random permuted blocks algorithm
Blinding: double‐blinded
Duration: 6 months
Exclusions postrandomisation: none
Losses to follow‐up: 1 discontinued in placebo group (consent withdrawn)
Participants Country: Italy
Setting: Dept of Paediatrics, University of Rome "La Sapienza"
Number of participants: 61 randomised; 30 probiotic, 31 placebo
Age (mean +/‐ SD): NR. Median: 17.5 years; range: 6 to 29 years
Inclusion criteria: patients with cystic fibrosis, FEV1 > 70%; no inhaled or systemic corticosteroids; no anti‐inflammatory drugs, antileukotrienes, and mast cell membrane stabilisers; and no serious organ involvement. (Although this study technically meets the exclusion criteria as it involves patients with cystic fibrosis, we have included this study because the study only included those with mild disease, who had limited respiratory impairment, and had not had a recent change in treatment.)
Exclusion criteria: history of pulmonary exacerbation or upper respiratory infection in the previous 2 months; changes in medications in the last 2 months; history of haemoptysis in the last 2 months; and colonisation with Burkholderia cepacia or mycobacteria
Interventions Treatment group: probiotic Lactobacillus reuteri ATCC55730; 5 drops per day (1010 CFU) for 6 months
Comparator group: the placebo was packed in identical bottles, had the same colour, weight, smell, and taste of the probiotic formulation; 5 drops per day for 6 months
Outcomes Primary outcome(s): number of episodes of pulmonary exacerbations; number and duration of hospital admissions made for pulmonary exacerbations; number of GI and upper respiratory tract infections
Secondary outcome(s): change in qualitative and quantitative bacteria present in the sputum; FEV1; change in faecal calprotectin concentration; IL‐8 and TNF‐a levels in plasma and induced sputum
Notes Authors’ COIs: the authors report that they have no conflicts of interest
Funding: intervention and placebo supplied by Italchimici (Pomezia, Italy), which had no role in the conception, design, conduct of the study, or in the analysis and interpretation of the data
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomised; no significant differences in baseline characteristics between the 2 groups
Allocation concealment (selection bias) Low risk Allocation schedule computer generated and fully concealed from doctors.
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Study described as double‐blind; doctors and participants blinded.
Blinding of outcome assessment (detection bias) 
 All outcomes Low risk Outcome measures of efficacy were recorded by investigators completely unaware of group assignment; unblinding procedures were performed after the study was completed and the statistical analysis carried out.
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias Low risk Intervention and placebo supplied by Italchimici (Pomezia, Italy), who had no role in the conception, design, conduct of the study, or in the analysis and interpretation of the data.
The authors reported that they had no conflicts of interest.

Di Pierro 2016.

Methods Study design: 2‐arm, controlled, randomised clinical study
Method of randomisation: individuals were randomised into groups by toss of a coin
Blinding: unblinded
Duration: 180 days
Exclusions postrandomisation: NR
Losses to follow‐up: the authors state that "none of the children were withdrawn from the study"
Participants Country: Italy
Setting: unclear
Number of participants: 222 randomised; 111 treatment group, 111 placebo
Age (mean +/‐ SD): treated group males: 36 +/‐ 3.2 months, females: 34 +/‐ 3 months; untreated group males: 35 +/‐ 3 months, females: 35 +/‐ 3.6 months
Inclusion criteria: children around 3 years of age and soon to attend the first year of kindergarten; free of streptococcal disease, as established by a rapid throat swab test for group A streptococcus; none were clinically ill on enrolment
Exclusion criteria: immunocompromised children; had undergone tonsillectomy or had an indication for adeno‐tonsillectomy; had a history of rheumatic disorders, bronchospasm, and/or a diagnosis of asthma and/or allergy; a diagnosed respiratory or significant systemic disorder; were either undergoing current pharmacological therapies to prevent recurrent respiratory infections or presented with conditions that could favour the development of AOM, including severe atopy, acquired or congenital immunodeficiency, cleft palate, a chronically ruptured eardrum, craniofacial abnormalities or obstructive adenoids, sleep apnoea syndrome, or placement of tympanostomy tubes
Interventions Treatment group: Streptococcus salivarious K12 (i.e. BLIS K12) probiotic strain, formulated as slowly dissolving oral tablets; containing no less than 1 billion CFU/tablet of S salivarious K12, 1 tablet/day, dissolved slowly in the mouth after brushing teeth/immediately before going to sleep, for 180 consecutive days
Comparator group: untreated
Outcomes Primary/secondary outcome(s): not specified, but the study states that it aimed to evaluate the following: (1) the onset of side effects or symptoms of toxicity while the product was being administered; (2) the efficacy of BLIS K12 in the prevention of Streptococcus pyogenes infections (pharyngo‐tonsillitis and scarlet fever) during 6 months of treatment and a 3‐month follow‐up period; (3) the efficacy of BLIS K12 in reducing the occurrence of AOM
Notes Authors’ COIs: first author is the main formulator of the tested product and is involved in the Scientific Council of the company (Omeopiacenza) trading the tested product. The other authors report no conflicts of interest.
Funding: NR
Note regarding meta‐analysis: this study only reports "pharyngo‐tonsillitis" rather than ARIs generally (as other studies do in this analysis); we included these data in the analysis of the 'difference in other infections' outcome.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk "Randomised by tossed coin"; Table 1 suggests randomisation worked
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes High risk Untreated group did not receive any treatment (i.e. unlikely patients/doctors blinded)
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk NR
Incomplete outcome data (attrition bias) 
 All outcomes Low risk "None of the children were withdrawn from the study"
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias High risk Authors’ COIs: first author is the main formulator of the tested product and is involved in the Scientific Council of the company (Omeopiacenza) trading the tested product. The other authors report no conflicts of interest.
Funding for the trial and the role of the funder: NR

Hatakka 2001a.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: computer‐generated, blocked randomisation list; block size of 4, stratified according to age (< 3 years, and 3 years and over) and day‐care centre (18 centres)
Blinding: double‐blinded
Duration: 7 months
Exclusions postrandomisation: discontinued before intervention: probiotic 14, placebo 9
Losses to follow‐up: probiotic 30 (9 moving away from the area, 2 sickness, 8 other reasons, 11 unknown); placebo 28 (11 moving away from the area, 3 non‐compliance, 3 sickness, 4 other reasons, 7 unknown)
Participants Country: Finland
Setting: day‐care centres in Helsinki
Number of participants: randomised 594; probiotic 296, control 298
Age (mean, range): probiotic 4.6 (1.3 to 6.8) years, control 4.4 (1.3 to 6.7) years
Inclusion criteria: healthy children aged 1 to 6 years, attending municipal day‐care centres
Exclusion criteria: children with allergy to cow's milk, lactose intolerance, severe food allergy, and other severe chronic diseases
Interventions Treatment group: Lactobacillus milk (Gefilus, Valio, Riihimäki, Finland) containing 1% fat and 5 to 10 x 105 CFU/mL of strain Lactobacillus rhamnosus GG (ATCC 53103); 3 times a day, 5 days a week, for 7 months over the course of the winter
Comparator group: control milk had the same composition asLactobacillus milk, but did not contain Lactobacillus; 3 times a day, 5 days a week, for 7 months over the course of the winter
Outcomes Primary outcome(s): the number of days with respiratory and gastrointestinal symptoms or days with any illness; absences from day‐care centre because of illness; number of children with URTIs with complications (AOM and sinusitis) and LRTIs (acute bronchitis and pneumonia) as diagnosed by a doctor; antibiotic treatments during the 7‐month intervention
Secondary outcome(s): correlation between the amount of milk consumed and the number of days with symptoms; symptom score (measuring the overall burden of symptoms)
Notes Authors’ COIs: KH (first author) has been employed by Valio Research Centre (manufacturer of the trialled probiotic) for 2 of the past 5 years. MS and RK are employed by Valio Research Centre. ES has given 2 educational presentations on Lactobacillus GG for Valio, and TP has received consulting fees from Valio.
Funding: Valio Research and Development, Helsinki, Finland. The University of Helsinki and the City of Helsinki participated in the funding by providing supervision and technical help. Role of the funders in design, collection, analysis, interpretation of data, the writing of the manuscript, decision to submit the manuscript not reported.
Note regarding meta‐analysis: for the 'difference in other infections (ARI)' outcome, we used data reporting "all infections together" (context suggests these were only respiratory infections) having first subtracted the number of children with AOM from this number.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomly allocated using a computer‐generated randomisation list
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Day‐care staff, parents, children, and investigators were unaware of which milk carton contained Lactobacillus until the intention‐to‐treat analysis was performed.
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk Not clear whether outcome assessors were blinded
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported in both arms, with reasons.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias High risk Authors’ COIs: KH (first author) has been employed by Valio Research Centre (manufacturer of the trialled probiotic) for 2 of the past 5 years. MS and RK are employed by Valio Research Centre. ES has given 2 educational presentations on Lactobacillus GG for Valio, and TP has received consulting fees from Valio.
Funding: Valio Research and Development, Helsinki, Finland. The University of Helsinki and the City of Helsinki participated in the funding by providing supervision and technical help. Role of the funders in design, collection, analysis, interpretation of data, the writing of the manuscript, decision to submit the manuscript not reported.

Hatakka 2007a.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: computer‐generated blocked randomisation list drawn up by a statistician; block size of 4, stratified by gender, age (< 3 years old, ≥ 3 years old), and care type (home or small‐group care or day care)
Blinding: double‐blinded
Duration: 6 months
Exclusions postrandomisation: none
Losses to follow‐up: probiotic 20 (4 sickness, 5 non‐compliance, 5 personal reasons, 5 unknown, 1 adverse events); placebo 20 (3 sickness, 8 non‐compliance, 0 personal reasons, 7 unknown, 2 tympanostomy)
Participants Country: Finland
Setting: NR
Number of participants: 309 randomised; probiotic 155, placebo 154
Age (mean, range): probiotic group: 2.4 (0.8 to 6.0) years, placebo: 2.4 (0.9 to 5.6) years
Inclusion criteria: at least 4 episodes of AOM during the preceding 12 months, or at least 3 episodes during the preceding 6 months
Exclusion criteria: children on regular medication, with chronic illnesses, Down’s syndrome, lip or palatal cleft, otitis media with effusion, or who were scheduled for tympanostomy or adenoidectomy during the study were excluded; those who had undergone tympanostomy or adenoidectomy during the preceding 6 months were also excluded unless they had suffered at least 3 episodes of AOM since the operations
Interventions Treatment group: gelatin capsule containing a combination of probiotic bacteria (Lactobacillus rhamnosus GG, ATCC 53103; L rhamnosus LC 705; Bifidobacterium breve 99; Propionibacterium freudenreichii subsp. shermanii) 8 to 9 x 109 CFU/capsule of each strain, 1 capsule daily for 6 months
Comparator group: capsule containing cellulose microcrystalline (identical looking to active intervention), 1 capsule daily for 6 months
Outcomes Primary outcome(s): occurrence and duration of AOM episodes
Secondary outcome(s): frequency of pathogen carriage, the occurrence of recurrent URTIs, and the number of antimicrobial treatments
Notes Authors’ COIs: several authors employed or remunerated by manufacturer of the trialled probiotic
Funding: manufacturer of trialled probiotic (Valio Ltd) and Helsinki University Hospital Research Fund funded the study. Role of the funders in design, collection, analysis, interpretation of data, the writing of the manuscript, decision to submit the manuscript not reported.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated blocked randomisation list drawn by the statistician.
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Investigators, parents, and children were all unaware of which treatment group each child was in until the statistical analysis was performed; capsules were delivered in coded containers.
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk NR
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, reasons provided.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias High risk Authors’ COIs: several authors employed or remunerated by manufacturer of the trialled probiotic
Funding: manufacturer of trialled probiotic (Valio Ltd) and Helsinki University Hospital Research Fund funded the study. Role of the funders in design, collection, analysis, interpretation of data, the writing of the manuscript, decision to submit the manuscript not reported.

Hojsak 2010a.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: randomisation performed with computer‐generated numbers
Blinding: double‐blinded
Duration: 3 months
Exclusions postrandomisation: none
Losses to follow‐up: probiotic 12 (8 did not want to drink product anymore, 4 did not like the taste of product); placebo 15 (9 did not want to drink product anymore, 6 did not like the taste of product)
Participants Country: Croatia
Setting: day‐care centres in Zagreb
Number of participants: 281 randomised; 139 probiotic, 142 placebo
Age (mean, range): probiotic 51.9 (13 to 86) months; placebo 53.6 (13 to 83) months
Inclusion criteria: children whose parents or legal guardians provided written informed consent and who did not meet any of the exclusion criteria
Exclusion criteria: children with cow’s milk allergy (probiotics were given in a fermented cow’s milk product); those who were receiving probiotic or prebiotic products, or both prior to or at the time of enrolment; those who had a neoplasm, other chronic severe illness, or immunodeficiency; and children who disliked fermented milk products
Interventions Treatment group: Lactobacillus rhamnosus strain GG (LGG strain from Valio) administered in 100 mL of a fermented milk product at a dose of 1 x 109 CFU, once daily during the 3‐month intervention period (19 November 2007 to 20 February 2008)
Comparator group: placebo was the same postpasteurised fermented milk product (100 mL) without LGG, once daily during the 3‐month intervention period (19 November 2007 to 20 February 2008)
Outcomes Primary outcome(s): (1) number of children with GI infections; (2) number of children with respiratory tract infections confirmed by physician
Secondary outcome(s): (1) number of children with vomiting episodes; (2) number of children with diarrhoeal episodes; (3) number of GI infections lasting longer than 2 days; (4) number of children with URTI, including rhinitis, pharyngitis, sinusitis, otitis, and the common cold; (5) number of children with LRTIs, including pneumonia, bronchitis, and bronchiolitis; (6) number of respiratory tract infections lasting longer than 3 days; (7) total number of days with respiratory and GI symptoms; and (8) number of days absent from day‐care centre due to infections
Notes Authors’ COIs: the authors report that before, during, or after the study, none of the authors received any funds for their work, which was exclusively voluntary, and the authors state that they have no conflict of interest
Funding: probiotic and placebo supplied by Dukat Dairy Industry (dairy company in Croatia), who had no role in the conception, design, or conduct of the study or in the analysis or interpretation of the data
Note regarding meta‐analysis: this study reports the number of children with LRTIs and the number of children with URTIs separately. To report this outcome in the analysis of difference in other infections, we added the number of children with LRTI and URTI and subtracted from this number the number of children with AOM.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomisation procedure performed with computer‐generated numbers.
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Study described as double‐blind; neither research staff nor children were aware of the real nature of the product. Probiotic and placebo were packed in identical bottles, and were of the same colour, weight, smell, and taste.
Blinding of outcome assessment (detection bias) 
 All outcomes Low risk Unblinding procedure was performed after the study was completed and after the statistical analyses were finalised.
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias Low risk Authors’ COIs: the authors report that before, during, or after the study, none of the authors received any funds for their work, which was exclusively voluntary, and the authors state that they have no conflict of interest
Funding: probiotic and placebo supplied by Dukat Dairy Industry (dairy company in Croatia), who had no role in the conception, design, or conduct of the study or in the analysis or interpretation of the data

Hojsak 2016.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: used Random Allocation Software, in which every patient got a number and received the preparation successively; randomisation in blocks of 6
Blinding: double‐blinded
Duration: 90 days
Exclusions postrandomisation: none
Losses to follow‐up: probiotic 5 (5 discontinued product use); placebo 7 (7 discontinued product use)
Participants Country: Croatia
Setting: day cares in Zagreb, Croatia
Number of participants: 210 randomised; 104 probiotic, 106 placebo
Age (mean, range): probiotic 4.49 (1.43 to 7.48) years; placebo 4.44 (1.44 to 6.79) years
Inclusion criteria: children who attended day‐care centres in 3 separate locations in the Zagreb area were eligible for the study, whose parents or legal guardians signed written informed consent, and who did not meet any of the exclusion criteria were included into the study
Exclusion criteria: children receiving probiotic or prebiotic products, or both 2 weeks prior to or at the time of enrolment; those who had any severe chronic illness, including neoplasm and immunodeficiency
Interventions Treatment group: a sachet containing 1 g of powder (maltodextrin with BB‐12 at a dose of 109 CFU; the powder was mixed in about 20 mL of milk, water, cordial, or drinking yogurt or spread on a spoon of yogurt and consumed immediately thereafter, at home in the evening together with a meal. Once daily for 90 days (starting 23 January 2013).
Comparator group: a sachet containing 1 g of powder (maltodextrin); the powder was mixed in about 20 mL of milk, water, cordial, or drinking yogurt or spread on a spoon of yogurt and consumed immediately thereafter, at home in the evening together with a meal. Once daily for 90 days (starting 23 January 2013).
Outcomes Primary outcome(s): number of children with common GI and respiratory infections. GI infections included diarrhoea, vomiting, both; ARIs included pharyngitis, otitis, common cold, pneumonia, bronchitis, and bronchiolitis diagnosed by physician.
Secondary outcome(s): duration of symptoms of common infections (GI and ARIs); number of children with GI infections; number of children with ARIs; absence from day‐care centre due to infections; use of antibiotics
Notes Authors’ COIs: the article states "none declared"
Funding: Chr. Hansen, Denmark (manufacturer of the probiotic). The role of the funder in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.
Note regarding meta‐analysis: for the 'difference in other infections' outcome, we have reported the numbers of children with ARIs but subtracted from those the number of children with AOM so as not to double count
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomised using Random Allocation Software
Allocation concealment (selection bias) Low risk "To ensure allocation concealment, an independent person prepared the randomisation schedule."
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk All study personnel, parents, and guardians were unaware of the group assignments. Products were of the same taste, colour, and smell, and were packed in identical sachets. The real nature of the product was not revealed to research staff and participants.
Blinding of outcome assessment (detection bias) 
 All outcomes Low risk Statistical plan and complete statistical analysis was performed prior to unblinding, and all analyses were performed according to a written statistical analysis plan.
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias High risk Authors’ COIs: the article states "none declared"
Funding: Chr. Hansen, Denmark (manufacturer of the probiotic). The role of the funder in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.

Karpova 2015.

Methods Study design: 2‐arm, controlled, randomised clinical study
Method of randomisation: the article states that it used "simple randomisation" (further details NR)
Blinding: none (open)
Duration: 30 days
Exclusions postrandomisation: probiotics 15 (3 allergic reaction, 12 reasons not provided); control 19 (reasons not provided). 3 participants with allergic reaction were transferred to the control group and analysed as part of the control group.
Losses to follow‐up: none
Participants Country: Russia
Setting: children attending organised children's groups
Number of participants: 250 children; 128 probiotic, 122 control; the study reports on 113 probiotic, 106 control
Age: mean NR. Median NR. Range: 6 to 7 years old
Inclusion criteria: children attending organised children's groups, aged 6 to 7 years, who had clinical signs of chronic adenoiditis
Exclusion criteria: intolerance to flavouring components that make up the probiotic complex; presence of concomitant diseases that change the natural course of the disease, affect the result of therapy, and/or disrupt the possibility of subjective assessment of the symptoms of the disease (psychoneurological pathology, diabetes mellitus, blood diseases, oncological diseases, immunodeficiency conditions, gastrointestinal tract diseases, etc.)
Interventions Treatment group: Streptococccus salivarius K12‐based probiotic complex in combination with the nasal‐douche, once daily at night for 30 days
Comparator group: nasal‐douche alone, once daily at night for 30 days
Outcomes Primary/secondary outcome(s): unclear. The following outcomes listed: frequency of diagnosed adenoiditis, the need for topical anti‐inflammatory therapy, complications of adenoiditis (AOM and acute rhinosinusitis), the need for systemic antibacterial drugs, side effects
Notes Authors’ COIs: NR
Funding: NR. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.
Note regarding meta‐analysis: for the analysis of difference in the use of antibiotics, we used the numbers reported in this study of children "prescribed antibiotics for AOM and acute rhinitis" (the numbers are reported collectively rather than individually by disease) in the 'use of antibiotics for AOM' subgroup rather than the 'use of antibiotics for any infection' subgroup as the former is a closer match.
For the analysis of difference in other infections, we have reported the numbers for children with acute rhinosinusitis, as those are the only reported numbers (unlike other studies, which report 'ARIs' more collectively).
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Study states that it is randomised, but method not reported; no baseline characteristics provided to assess the result of randomisation.
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Unclear risk NR
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk NR
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons.
Selective reporting (reporting bias) Unclear risk Side effects are listed as one of the outcomes, but not reported.
Other bias High risk Authors’ COIs: NR
Funding: NR. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.

Maldonado 2012.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: computer‐generated randomisation list
Blinding: double‐blinded
Duration: 6 months
Exclusions postrandomisation: probiotic 0; placebo 7 (7 did not receive the formula due to mistake in sending)
Losses to follow‐up: probiotic 7 (1 moved out of study area, 4 discontinued intervention/did not attend study visits, 2 excluded from analysis/incomplete data); placebo 13 (2 discontinued intervention, 6 discontinued intervention/did not attend study visits, 5 excluded from analysis/incomplete data)
Participants Country: Spain
Setting: paediatric departments of 3 hospitals
Number of participants: 215 randomised; probiotic 117, control 98
Age (mean +/‐ SD): probiotic 6.5 +/‐ 1.2 months; control 6.5 +/‐ 1.3 months
Inclusion criteria: healthy 6‐month‐old infants who were exclusively formula fed; live in proximity to the hospitals, child was delivered at the hospital and/or made regular visits to the paediatrician
Exclusion criteria: GI disorders (history of chronic diarrhoea or constipation, gastro‐oesophageal reflux), GI surgery, cow’s milk protein allergy, metabolic disorders (diabetes, lactose intolerance), immunodeficiency, antibiotic prescription 1 week before inclusion, and previous use of formula containing prebiotics or probiotics
Interventions Treatment group: standard powdered formula with nutritional composition in accordance with current European Union regulations, supplemented with (0.4 g/100 mL) galactooligosaccharide plus Lactobacillus fermentum CECT5716 (L fermentum Hereditum, Biosearch Life, Granada, Spain) at an average dose of 2 x 108 CFU/day. The amount of formula per day was paediatrician‐prescribed; duration was 6 months.
Comparator group: standard powdered formula with nutritional composition in accordance with current European Union regulations, supplemented with galactooligosaccharide only (0.4 g/100 mL). The amount of formula per day was paediatrician‐prescribed; duration was 6 months.
Outcomes Primary outcome(s): incidence of infections (including GI, ARI, AOM, urinary, and other, less common infections)
Secondary outcome(s): evolution of weight, length, and head circumference, fever episodes, antibiotic prescriptions, and concentrations of short‐chain fatty acids (SCFAs), immunoglobulin (Ig) A, and microbiota composition in faeces; the incidence of recurrent (≥ 3 events) respiratory infections
Notes Authors’ COIs: the article states that "the authors report no conflict of interest" (NB: corresponding author lists affiliation with Puleva Food SL, which manufactured the formulas used in the trial)
Funding: Puleva Food SL (manufacturer of the formulas; provided the formulas)
The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation list (SIGESMU, Madrid, Spain)
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Study described as double blind; "to ensure blinding, both formulas submitted to a sensorial test by an expert panel that finds both products to be identical"
Blinding of outcome assessment (detection bias) 
 All outcomes Low risk Data were analysed with STATA by a blinded statistician.
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias High risk Authors’ COIs: the article states that "the authors report no conflict of interest" (NB: corresponding author lists affiliation with Puleva Food SL, which manufactured the formulas used in the trial)
Funding: Puleva Food SL (manufacturer of the formulas; provided the formulas).
The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.

Maldonado 2015.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: computer‐generated randomisation list
Blinding: double‐blinded
Duration: this is a 3‐year follow‐up of Maldonado 2012 (see above)
Exclusions postrandomisation: 121 assessed for eligibility; 5 not located, 6 declined to participate; 110 included
Losses to follow‐up: probiotic 10 (did not attend medical visits); placebo 9 (did not attend medical visits)
Participants Country: Spain
Setting: children who completed the initial trial (Maldonado 2012)
Number of participants: 110 included; probiotic 55, control 55
Age (mean +/‐ SD): probiotic: 3.02 +/‐ 0.1 years; control: 3.02 +/‐ 0.1 years
Inclusion criteria: infants who had completed the previous trial (Maldonado 2012)
Exclusion criteria: NR
Interventions Treatment group (Maldonado 2012): standard powdered formula with nutritional composition in accordance with current European Union regulations, supplemented with (0.4 g/100 mL) galactooligosaccharide plus Lactobacillus fermentum CECT5716 (L fermentum Hereditum, Biosearch Life, Granada, Spain) at an average dose of 2 x 108 CFU/day. The amount of formula per day was paediatrician‐prescribed; duration was 6 months.
Comparator group (Maldonado 2012): standard powdered formula with nutritional composition in accordance with current European Union regulations, supplemented with galactooligosaccharide only (0.4 g/100 mL). The amount of formula per day was paediatrician‐prescribed; duration was 6 months.
Outcomes Primary outcome(s): anthropometric values including weight, length, and head circumference at 3 years of age
Secondary outcome(s): incidence of non‐acquired diseases (allergies and metabolic diseases), hospitalisations and surgical procedures, incidence of infections measured during the final year of the study
Notes Authors’ COIs: MG, JM, MVR, KF, and ELH acknowledge no conflict of interest of personal interest/gain in any company/organisation, or having received any financial support from any industry‐related organisation in the preparation of this article. ADV, JF, and MO work for Biosearch, owner of the patent of Lactobacillus fermentum CECT5716. FLV works for Lactalis Puleva. JML is the recipient of a fellowship from the Fundación Universidad‐Empresa (Universidad de Granada, Spain).
Funding: the study was funded by HiPP GmbH & Co Vertrieb KG, Pfaffenhofen (Germany) and Lactalis Puleva, Granada (Spain). Study sponsors participated in the study design and the writing of the report.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomised in the original study (Maldonado 2012)
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Unclear risk Original study described as double‐blind; not clear if the 2‐year follow‐up was also blind for participants and personnel.
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk NR
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias High risk Authors’ COIs: MG, JM, MVR, KF, and ELH acknowledge no conflict of interest of personal interest/gain in any company/organisation, or having received any financial support from any industry‐related organisation in the preparation of this article. ADV, JF, and MO work for Biosearch, owner of the patent of Lactobacillus fermentum CECT5716. FLV works for Lactalis Puleva. JML is the recipient of a fellowship from the Fundación Universidad‐Empresa (Universidad de Granada, Spain).
Funding: the study was funded by HiPP GmbH & Co Vertrieb KG, Pfaffenhofen (Germany) and Lactalis Puleva, Granada (Spain). Study sponsors participated in the study design and the writing of the report.

Marchisio 2015.

Methods Study design: 2‐arm, placebo‐controlled, randomised controlled trial
Method of randomisation: using a random number generator, in a 1:1 ratio
Blinding: double‐blinded
Duration: 3 months
Exclusions postrandomisation: none
Losses to follow‐up: probiotic 0; placebo 3 (refused to continue study after first treatment period)
Participants Country: Italy
Setting: Paediatric Highly Intensive Care Unit, Dept of Pathophysiology & Transplantation, University of Milan
Number of participants: 100 randomised; 50 probiotic, 50 placebo
Age (mean +/‐ SD): probiotic: 2.7 +/‐ 1.1 years; placebo: 3.1 +/‐ 1.2 years
Inclusion criteria: children aged 1 to 5 years with histories of recurrent AOM (defined as at least 3 episodes in the preceding 6 months or at least 4 episodes in the preceding 12 months with the most recent episode within the previous 2 to 8 weeks) who were regularly followed up by the outpatient section of the Paediatric Highly Intensive Care Unit. The minimum number of episodes of AOM for inclusion in the otitis‐prone group had to be diagnosed by pneumatic otoscopy performed by a trained investigator and documented by medical records, and at least 2 episodes had to be supported by tympanometric findings. At the time of enrolment, the children had to be free of AOM but could be experiencing otitis media with effusion.
Exclusion criteria: all factors that could favour the development of AOM, including severe atopy, acquired or congenital immunodeficiency, cleft palate, a chronically ruptured eardrum, craniofacial abnormalities or obstructive adenoids, sleep apnoea syndrome, or the placement of tympanostomy tubes.
Interventions Treatment group: Streptococcus salivarius 24SMB preparation (suspension of S salivarius 24SMB consisting of a minimum of 100 × 109 CFU/mL in 5 mL of saline); delivered with a nasal spray that provided 5 × 109 CFU to each nostril; twice per day, 5 days each month for 3 consecutive months
Comparator group: the placebo was based on saline with a colour and taste that were indistinguishable from the preparation containing S salivarius. The placebo was administered with the same nasal spray and provided the same saline dose; twice per day, 5 days each month for 3 consecutive months.
Outcomes Primary/secondary outcome(s): not clearly identified. The article states: "Three types of outcome were considered, i.e., the total number of AOM episodes and the numbers of complicated and uncomplicated episodes."
Notes Authors’ COIs: the author(s) declare that they have no competing interests
Funding: this study was supported by a grant obtained from DMG Italia S.r.l. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomised by "a random number generator"
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Study described as double‐blinded; paediatricians were blinded to treatment assignments. Both groups' sprays were labelled with randomisation codes.
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk Sprays' randomisation codes were revealed only to the staff of the data monitoring centre.
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons.
Selective reporting (reporting bias) Unclear risk Outcomes not clearly identified as primary or secondary. Lists 3 outcomes (AOM episodes, complicated AOM episodes, uncomplicated episodes), all of which are reported, but the number of children treated with antibiotics is also reported in the results.
Other bias High risk Authors’ COIs: the author(s) declare that they have no competing interests
Funding: this study was supported by a grant obtained from DMG Italia S.r.l. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.

Nocerino 2017.

Methods Study design: 3‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: computer‐generated randomisation list
Blinding: double‐blinded
Duration: 3 months
Exclusions postrandomisation: probiotic in milk: 3 refused to participate after randomisation; probiotic in rice: 21 refused to participate after randomisation; placebo: 17 refused to participate after randomisation
Losses to follow‐up: probiotic in milk (4); probiotic in rice (5); placebo (5)
Participants Country: Italy
Setting: family paediatricians in the Italian Public Health System
Number of participants: randomised 432: probiotic in milk: 144; probiotic in rice 144; placebo 144
Age (mean +/‐ SD): probiotic in milk: 32 +/‐ 30 months; probiotic in rice: 31 +/‐ 11 months; placebo: 34 +/‐ 9 months
Inclusion criteria: consecutive healthy children (12 to 48 months of age) attending day care or preschool at least 5 days a week
Exclusion criteria: age ≤ 12 months or ≥ 48 months, concomitant chronic systemic diseases, congenital cardiac defects, gastrointestinal or urinary or respiratory tract surgery, active tuberculosis, autoimmune diseases, immunodeficiency, chronic inflammatory bowel diseases, cystic fibrosis, metabolic diseases, history of suspected or challenge‐proved food allergy, lactose intolerance, malignancy, chronic pulmonary diseases, malformations of gastrointestinal or urinary or respiratory tract, severe malnutrition (Z score for weight‐for‐height < 3 SD scores); use of pre/pro/synbiotics, antibiotics, or immune‐stimulating products in the 2 weeks before study enrolment
Interventions Probiotic in milk: cow's milk fermented with Lactobacillus paracasei CBA L74. 7 g/day of study product diluted in maximum 150 mL of cow's milk or water. Daily for 3 months during the winter season.
Probiotic in rice: rice fermented with L paracasei CBA L74. 7 g/day of study product diluted in maximum 150 mL of cow's milk or water. Daily for 3 months during the winter season.
Comparator group: placebo consisting of maltodextrins with similar energy content of fermented milk and rice products. 7 g/day of study product diluted in maximum 150 mL of cow's milk or water. Daily for 3 months during the winter season.
Outcomes Primary outcome(s): the proportion of children experiencing at least 1 episode of common infectious disease
Secondary outcome(s): proportion of children with recurrent common infectious diseases (i.e. 3 episodes), total number of common infectious diseases, use of medications (antipyretics, antibiotics, or corticosteroids), emergency department visits, paediatric visits, hospitalisations
Notes Authors’ COIs: the authors state that they have no financial relationships relevant to this article to disclose. The authors have no conflicts of interest that are directly relevant to the content of this paper.
Funding: this work was supported in part by the Italian Ministry of Health Grant PE‐2011‐02348447, and by an unrestricted grant from Heinz Italia SpA, Latina, Italy, an affiliate of H.J. Heinz Company, Pittsburgh, PA, USA, devoted to the Department of Translational Medical Science of the University of Naples “Federico II”. However, neither the Italian Ministry of Health nor Heinz Italia SpA, Latina, Italy, an affiliate of H.J. Heinz Company, Pittsburgh, PA, USA had any influence on: 1) the study design, 2) the collection, analysis, and interpretation of data; 3) the writing of the manuscript; and 4) the decision to submit the manuscript for publication.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomised according to a computer‐generated randomisation list
Allocation concealment (selection bias) Low risk The paediatricians assigned each child to the next available number on entry into the trial.
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Investigators were blinded to the treatment at all times. Paediatricians, parents, and children were not aware of the dietary treatment assigned.
Blinding of outcome assessment (detection bias) 
 All outcomes Low risk Statistical analysis was blinded.
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for all 3 arms, with reasons.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias Low risk Authors’ COIs: the authors state that they have no financial relationships relevant to this article to disclose. The authors have no conflicts of interest that are directly relevant to the content of this paper.
Funding: this work was supported in part by the Italian Ministry of Health Grant PE‐2011‐02348447, and by an unrestricted grant from Heinz Italia SpA, Latina, Italy, an affiliate of H.J. Heinz Company, Pittsburgh, PA, USA, devoted to the Department of Translational Medical Science of the University of Naples “Federico II”. However, neither the Italian Ministry of Health nor Heinz Italia SpA, Latina, Italy, an affiliate of H.J. Heinz Company, Pittsburgh, PA, USA had any influence on: 1) the study design, 2) the collection, analysis, and interpretation of data; 3) the writing of the manuscript; and 4) the decision to submit the manuscript for publication.

Rautava 2009.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: block randomisation with individual codes
Blinding: double‐blinded
Duration: 10 to 12 months (infants < 2 months old were recruited and followed until they were 12 months old)
Exclusions postrandomisation: none
Losses to follow‐up: probiotic 2; placebo 1
Non‐adherence to protocol: probiotic 9 (4 discontinued, 2 GI complaints, 2 inconvenience of powdered formula, 1 arduousness of study); placebo 4 (2 discontinued, 1 GI complaints, 1 arduousness of study)
Participants Country: Finland
Setting: NR
Number of participants: 81 randomised; probiotics 38, placebo 43
Age (mean age in days at start of intervention): probiotics 38 (6 to 65), placebo 35 (2 to 59)
Inclusion criteria: need for infant formula before the age of 2 months
Exclusion criteria: infants with chronic disease
Interventions Treatment group: 1 x 1010 CFU of both Lactobacillus rhamnosus (Lactobacillus GG, American type culture collection 53103; Valio Ltd, Helsinki, Finland) and Bifidobacterium lactis Bb‐12 (Chr. Hansen A/S, Hoersholm, Denmark) in capsule, the contents of which were supplemented to infant formula given at 1 feeding. Once daily, until the age of 12 months.
Comparator group: placebo capsule (microcrystalline cellulose) in capsule, the contents of which were supplemented to infant formula given at 1 feeding. Once daily, until the age of 12 months.
Outcomes Primary outcome(s): incidence of early ARIs, doctor‐diagnosed AOM, GIs occurring before the age of 7 months
Secondary outcome(s): incidence of recurrent (3+) respective infections during the first year of life
Notes Authors’ COIs: NR
Funding: Lactobacillus GG was acquired without cost from Valio Ltd, and Chr. Hansen A/S provided B lactis Bb‐12 and manufactured the probiotic and placebo capsules without cost. The infant formula was provided without cost by Mead Johnson Nutrition. The study was funded by the Microbes and Man research programme, the Academy of Finland, and the Bristol‐Myer Squibb Mead Johnson Foundation Unrestricted Research Grant. The funding sources had no involvement in study design, collection, analysis, and interpretation of data, writing of the report, or the decision to submit the paper for publication.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomised by block randomisation with individual codes
Allocation concealment (selection bias) Unclear risk The random allocation was generated independently from the investigators by the manufacturer of the capsules (Chr. Hansen A/S).
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Study was double‐blind; the code was opened after all the infants had completed the study and data had been edited.
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk Not clear who performed the assessment or whether or not they were blinded
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias Unclear risk Lactobacillus GG was acquired without cost from Valio Ltd, and Chr. Hansen A/S provided B lactis Bb‐12 and manufactured the probiotic and placebo capsules without cost. The infant formula was provided without cost by Mead Johnson Nutrition. The study was funded by the Microbes and Man research programme, the Academy of Finland, and the Bristol‐Myer Squibb Mead Johnson Foundation Unrestricted Research Grant. The funding sources had no involvement in study design, collection, analysis, and interpretation of data, writing of the report, or the decision to submit the paper for publication. Author COIs not reported.

Roos 2001a.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: randomisation was undertaken by a technician with no access to information on the participants or doctors; no further details provided
Blinding: double‐blinded
Duration: 3 months
Exclusions postrandomisation: not clear, of 132 children included, 108 (82%) were eligible for analysis of efficacy (53 in the probiotic group and 55 in the placebo group) and 126 (95%) for analysis of adverse events
Losses to follow‐up: not reported by assigned group; main reasons for not being eligible for the efficacy analysis were withdrawal from the study or refusal to start spray treatment (8 children), inadequate handling of spray (4), and antibiotic treatment being received for reasons other than AOM (3). The other 5 participants were either lost to follow‐up (2), allergic to penicillin (1), or it was not possible to determine whether a recurrence had occurred because they were treated by another doctor during the study (2).
Participants Country: Sweden
Setting: ENT specialists at Lundby Hospital
Number of participants: 130 randomised; 108 eligible for efficacy analysis (53 in probiotic group, 55 in placebo group)
Age (mean, range): 23 months (6 months to 6 years)
Inclusion criteria: had had recurrent AOM and who had been either referred by their general practitioner or a paediatrician to the open care unit of the ear, nose, and throat department at Lundby Hospital or were directly seeking medical advice for ear pain; had had at least 2 episodes of AOM during the past 6 months or 5 episodes during the past year; at the next occurrence of ear pain the children were examined, and those with a red or pale, bulging, thickened tympanic membrane were included in the study
Exclusion criteria: penicillin allergy, serious underlying disease, immunological deficiency, a valvular heart defect, major lesions in the mouth or nose, a grommet in the ear, or chronic otitis media
Interventions Treatment group: streptococcal spray (2 strains of Streptococcus sanguis, 2 strains of S mitis, 1 strain of S oralis), freeze‐dried in skim milk, reconstituted in 0.9% sodium chloride immediately prior to use; corresponding to a suspension of 5 x 108 CFU/mL. Children with no recurrences during the last month received phenoxymethylpenicillin (n = 22), and those with a recurrence within 1 month received amoxicillin‐clavulanic acid (n = 86), both twice a day for 10 days. Streptococcal spray was then sprayed into the nose for 10 days (3 puffs into each nostril, twice daily). At day 60, the same spray was administered for another 10 days (3 puffs into each nostril, twice daily).
Comparator group: placebo comprised of skim milk powder (with the same texture and colour as the spray). Children with no recurrences during the last month received phenoxymethylpenicillin (n = 22), and those with recurrence within 1 month received amoxicillin‐clavulanic acid (n = 86), both twice a day for 10 days. Placebo spray was then sprayed into the nose for 10 days (3 puffs into each nostril, twice daily). At day 60, the same spray was administered for another 10 days (3 puffs into each nostril, twice daily).
Outcomes Primary outcome(s): recurrence of AOM during follow‐up; normal tympanic membrane at the last valid visit
Secondary outcome(s): unclear
Notes Authors’ COIs: the authors of this study have been co‐operating for over 15 years in the study of recurrent infections in the upper respiratory tract, and the present study is a continuation of earlier studies on bacterial interference done by the authors. The Medical Products Agency in Uppsala approved the design and suggested minor changes.
Funding: Swedish National Board for Industrial and Technical Development; Teknikbro Foundation; Samariten Foundation. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomisation was performed by a technician with no access to information on participants or doctors.
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Study described as "double blind"; placebo powder was the same texture and colour as the intervention.
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk NR
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons provided.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias Unclear risk Authors’ COIs: the authors of this study have been co‐operating for over 15 years in the study of recurrent infections in the upper respiratory tract, and the present study is a continuation of earlier studies on bacterial interference done by the authors. The Medical Products Agency in Uppsala approved the design and suggested minor changes.
Funding: Swedish National Board for Industrial and Technical Development; Teknikbro Foundation; Samariten Foundation. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.

Stecksen‐Blicks 2009.

Methods Study design: 2‐arm, placebo‐controlled, cluster‐randomised clinical study
Method of randomisation: clusters (different day cares) were randomly allocated to the intervention or control regimen by a staff member at the local dairy by coin toss
Blinding: double‐blinded
Duration: 21 months
Exclusions postrandomisation: none
Losses to follow‐up:
Before 12 months: probiotic 23 (22 children moved to school after 3 months, 1 child changed unit); control 39 (36 children moved to school after 3 months; 3 milk intolerance)
After 12 months but before 21 months: probiotic 26 (moved to school after 15 months); control 31 (moved to school after 15 months)
Participants Country: Sweden
Setting: day‐care centres
Number of participants: randomised 27 units (n = 248); probiotic 16 units (n = 133), control 11 units (n = 115)
Age (mean +/‐ SD at baseline): probiotic 42.9 +/‐ 16.5 months; control 42.4 +/‐ 13.8 months
Inclusion criteria: children 1 to 5 years old, from 14 day‐care centres located in Nordmaling and Hörnefors
Exclusion criteria: severe chronic diseases, milk intolerance, or with a fluoride concentration in piped drinking water exceeding 0.5 mg/L were excluded
Interventions Treatment group: 150 mL medium‐fat milk (1.5%) at lunch; the milk was prepared by the day‐care staff by adding 1 colour‐coded capsule (10 mL) to each litre of milk. The capsules were kept frozen and contained fluoride and probiotic bacteria in skim milk to give a final concentration of 2.5 mg/L fluoride and 107 CFU/mL Lactobacillus rhamnosus LB21 in the intervention group. The milk was served only on weekdays and not during weekends, holidays, or vacation periods; once daily for 21 months.
Comparator group: children were served 150 mL medium‐fat milk (1.5%) at lunch. Before serving, the milk was prepared by the day‐care staff by adding 1 colour‐coded capsule (10 mL) to each litre of milk. The capsules in the control group contained only skimmed milk and were identical in appearance except in colour code. The intervention milk was served only on weekdays and not during weekends, holidays, or vacation periods; once daily for 21 months.
Outcomes Primary outcome(s): caries increment
Secondary outcome(s): "measures of general health"
Notes Authors’ COIs: NR
Funding: the probiotic strain was provided by Essum AB, Umeå, Sweden. The fluoride solution was prepared at the university biochemical laboratory, and the capsules were produced at the local dairy (Norrmejerier, Umeå, Sweden). The study was supported financially by the County Council of Västerbotten (TUA) and the Borrow Foundation, UK. Norrmejerier Ekonomisk Förening, Umeå, Sweden supported the study by preparation and distribution of the milk. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Day‐care units were randomly allocated by a staff member at the local dairy by means of coin tossing.
Allocation concealment (selection bias) Low risk The units were referred to as blue or yellow units in order to conceal their allocation. The code was kept by an independent monitor and was not unveiled until all data were computerised.
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Neither the researchers nor the clinicians, personnel, or families at the day‐care centres knew whether the children had received control or intervention milk during the course of the study.
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk NR
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons provided.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias High risk Authors’ COIs: NR
Funding: the probiotic strain was provided by Essum AB, Umeå, Sweden. The fluoride solution was prepared at the university biochemical laboratory, and the capsules were produced at the local dairy (Norrmejerier, Umeå, Sweden). The study was supported financially by the County Council of Västerbotten (TUA) and the Borrow Foundation, UK. Norrmejerier Ekonomisk Förening, Umeå, Sweden supported the study by preparation and distribution of the milk. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.

Taipale 2011.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: computer‐generated randomisation list; blocks of 3
Blinding: double‐blinded
Duration: approximately 7 months (from age 1 to 2 months to 8 months)
Exclusions postrandomisation: none
Losses to follow‐up: probiotic group: 17 did not receive tablet; control group: 17 did not receive tablet
Non‐adherence to protocol: probiotic group 4 (2 GI complaints, 2 arduousness of study); control group 2 (1 atopic eczema, 1 arduousness of study)
Participants Country: Finland
Setting: recruited via pamphlets at well‐baby clinic
Number of participants: randomised 109; probiotic 55, control 54
Age: not reported, but participants were "1 month old infants"
Inclusion criteria: (1) the child was healthy, (2) the parents were willing to use the novel slow‐release pacifier, and (3) the child started receiving the tablet before the age of 2 months. In cases where the child did not start using the pacifier but the parents were motivated to remain in the study, they were offered the possibility of delivering the crushed tablet to the child using a spoon.
Exclusion criteria: NR
Interventions Treatment group: the probiotic bacterium used was BB‐12 (DSM 15 954; Chr. Hansen A/S, Hoersholm, Denmark). 2 probiotic tablets per day via a novel slow‐release pacifier (pacifier contains a pouch in which the tablet is inserted); each tablet contained 5 billion CFU of BB‐12. Until 6 to 8 months of age, the children received the tablet via a small pacifier, thereafter via a larger pacifier. The tablet in the small pacifier contained 100 mg xylitol; the tablet in the larger pacifier contained 300 mg xylitol, both in addition to BB‐12. Duration: from age 1 to 2 months to 8 months.
Comparator group: the control tablets contained xylitol alone. Duration: from age 1 to 2 months to 8 months.
Outcomes Primary outcome(s): reported cumulative incidence of ARIs and doctor‐diagnosed AOM occurring before the age of 8 months
Secondary outcome(s): successful intestinal passage of BB‐12 (Bifidobacterium animalis subsp. lactis)
Notes Authors’ COIs: 1 author (TT) states “no conflict of interest”. 1 author (CL) lists an affiliation with Chr. Hansen (which donated the BB‐12 probiotics) in the author affiliations, but this is not noted in the COI. No information on COIs of the remaining authors.
Funding: TT had no conflicts of interest. He was supported by personal grants from the Emil Aaltonen and Sohlberg Foundations, Finnish Dental Society Apollonia, and the Finnish Dental Association. The funding sources had no involvement in study design, interpretation of data, writing of the paper, or the decision to submit the paper for publication. Chr. Hansen A/S (Hoersholm, Denmark) donated the BB‐12 for the probiotic tablets and helped in carrying out the faecal analysis of BB‐12. The tablets were manufactured by Oy Karl Fazer Ab (Vantaa, Finland). The pacifiers were manufactured by Mekalasi Oy (Konnevesi, Finland). Neither Hansen, Fazer, or Mekalasi provided financial support for this clinical study.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Study described as randomised; baseline characteristics appear similar between groups.
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk All of the study personnel and participants were blinded to the treatment assignment for the duration of the study.
Blinding of outcome assessment (detection bias) 
 All outcomes Low risk Only 1 of the authors (ES) had the code, but this author did not participate in producing or analysing the data at any stage of the trial and had no contact with the study participants.
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons provided.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias High risk TT had no conflicts of interest. He was supported by personal grants from the Emil Aaltonen and Sohlberg Foundations, Finnish Dental Society Apollonia, and the Finnish Dental Association. The funding sources had no involvement in study design, interpretation of data, writing of the paper, or the decision to submit the paper for publication. Chr. Hansen A/S (Hoersholm, Denmark) donated the BB‐12 for the probiotic tablets and helped in carrying out the faecal analysis of BB‐12. The tablets were manufactured by Oy Karl Fazer Ab (Vantaa, Finland). The pacifiers were manufactured by Mekalasi Oy (Konnevesi, Finland). Neither Hansen, Fazer, or Mekalasi provided financial support for this clinical study. 1 author (TT) states “no conflict of interest”. 1 author (CL) lists an affiliation with Chr. Hansen (which donated the BB‐12 probiotics) in the author affiliations, but this is not noted in the COI. No information on COIs of the remaining authors.

Taipale 2016.

Methods NB: this study reports the results of a 2‐year follow‐up of the participants in Taipale 2011 (see above)
Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: computer‐generated randomisation list; blocks of 3 (see Taipale 2011)
Blinding: double‐blinded
Duration: 2‐year follow‐up of participants in Taipale 2011
Exclusions postrandomisation: none
Losses to follow‐up: probiotic group: 17 did not receive tablet; control group: 17 did not receive tablet
Non‐adherence to protocol: probiotic group 6 (2 GI complaints, 4 arduousness of study); control group 2 (1 atopic eczema, 1 arduousness of study)
Participants Country: Finland
Setting: originally recruited via pamphlets at well‐baby clinics
Number of participants: randomised 109; probiotic 55, control 54 in original trial; this study reports on those participants who completed the 2‐year follow up: 32 probiotics, 35 control
Age: NR
Inclusion criteria: the inclusion criteria of the Taipale 2011 trial were that: (1) the child was healthy, (2) the parents agreed to use the novel slow‐release pacifier, and (3) the child started to use the pacifier before the age of 2 months. In cases where the child did not start using the pacifier but the parents were motivated to remain in the study, they were offered the possibility of delivering the crushed tablet to the child using a spoon. Reasons for not participating in the trial included moving out of the area, miscarriage, and lack of interest in the trial.
Exclusion criteria: NR
Interventions Treatment group: each probiotic tablet contained 5 billion CFU of Bifidobacterium animalis subsp. lactis BB‐12, in addition to bulking agent xylitol. The smaller tablet contained 100 mg xylitol, whilst the larger tablet contained 300 mg xylitol. Test tablets were administered from the age of 1 to 2 months with a novel slow‐release pacifier which contained a pouch in which the tablet was inserted. The children received the tablets twice a day via a small pacifier (volume 120 µL) until 6 to 8 months of age, thereafter via a larger pacifier (volume 250 µL) until the age of 2 years.
Comparator group: the placebo tablet contained xylitol (the smaller tablet contained 100 mg xylitol, whilst the larger tablet contained 300 mg xylitol). The children received the tablets twice a day via a small pacifier (volume 120 µL) until 6 to 8 months of age, thereafter via a larger pacifier (volume 250 µL) until the age of 2 years.
Outcomes Primary outcome(s): prevalence of overall acute infections occurring before the age of 2 years (ARTIs, AOM, GI, fever episodes)
Secondary outcome(s): successful intestinal passage of BB‐12
Notes Authors’ COIs: TJT was supported by a personal grant from Finnish Dental Society Apollonia. Disclosures: the authors declare that there are no conflicts of interest.
Funding: Chr. Hansen A/S (Hoersholm, Denmark) donated the BB‐12 and carried out the faecal analyses of BB‐12. Oy Karl Fazer Ab (Vantaa, Finland) manufactured the tablets and Mekalasi Oy (Konnevesi, Finland) manufactured the pacifiers. Neither Hansen, Fazer, or Mekalasi provided financial support for this study. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation list; blocks of 3
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk All study personnel and participants were blinded to treatment assignment for the duration of the study.
Blinding of outcome assessment (detection bias) 
 All outcomes Low risk Data were analysed with SPSS by a blinded statistician (KP).
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons provided.
Selective reporting (reporting bias) Low risk All outcomes reported.
Other bias Unclear risk Authors’ COIs: TJT was supported by a personal grant from Finnish Dental Society Apollonia. Disclosures: the authors declare that there are no conflicts of interest.
Funding: Chr. Hansen A/S (Hoersholm, Denmark) donated the BB‐12 and carried out the faecal analyses of BB‐12. Oy Karl Fazer Ab (Vantaa, Finland) manufactured the tablets and Mekalasi Oy (Konnevesi, Finland) manufactured the pacifiers. Neither Hansen, Fazer, or Mekalasi provided financial support for this study. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.

Tano 2002.

Methods Study design: 2‐arm, placebo‐controlled, randomised clinical study
Method of randomisation: randomisation performed by a technician with no access to information about the included participants or the doctor involved; further details not reported
Blinding: double‐blinded
Duration: 4 months
Exclusions postrandomisation: none
Losses to follow‐up: probiotic: 3 did not complete the scheduled 4‐month treatment; placebo: 1 did not complete the scheduled 4‐month treatment
Non‐adherence to protocol: probiotic: 2 excluded due to freezer with alpha‐haemolytic streptococci (AHS) suspension inadvertently being thawed; control: 1 excluded due to freezer with AHS suspension inadvertently being thawed
Participants Country: Sweden
Setting: children referred to ENT department due to recurrent AOM
Number of participants: 43 "included" (not clear if this is the number randomised); probiotic 21, placebo 22
Age (mean, range): probiotic: 21.5 months (range 9 to 42), placebo: 20.7 months (range 4 to 46)
Inclusion criteria: children referred to the ENT department in Boden and Umea because of recurrent AOM; aged 3 years and younger, and with a history of at least 3 episodes of AOM during the last 6 months or 6 episodes of AOM; aerated middle ears
Exclusion criteria: patients with secretory otitis media in 1 or both ears; severe underlying diseases such as immunological deficiencies, valvular heart diseases, or wounds in the nose or mouth
Interventions Treatment group: a suspension of 10% skim milk and 0.9% CFU/mL was used; strains included: 2 strains of Streptococcus sanguis, 2 strains of S mitis, 1 strain of S oralis in equal proportions. Spray once daily (1 puff 50 µL in each nostril) for 4 months.
Comparator group: skim milk with 0.9% sodium chloride was used as a placebo control and was kept frozen until thawed and used. Spray once daily (1 puff 50 µL in each nostril) for 4 months.
Outcomes Primary outcome(s): a reduction in AOM episodes (NB: this is not made explicit)
Secondary outcome(s): not clear. Other outcomes reported in the article: URI episodes, AOM episodes, otalgia, serous otitis media (SOM), adverse events.
Notes Authors’ COIs: NR
Funding: the present study was supported by the County Council of Norrbotten, the Joint Committee North Medical Care Region (‘Visare Norr’), and the Swedish Medical Research Council (No. K2001‐73x‐06578‐19A). Essum AB prepared the bottles with nasal spray. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomised by a technician with no access to information about included participants or doctor involved; baseline characteristics appear similar for both groups
Allocation concealment (selection bias) Unclear risk NR
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Both the investigator (KT) and the parents were blinded to the drug.
Blinding of outcome assessment (detection bias) 
 All outcomes Unclear risk NR
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Attrition reported for both arms, with reasons provided.
Selective reporting (reporting bias) Unclear risk Outcomes not clearly identified.
Other bias High risk Authors’ COIs: NR
Funding: the present study was supported by the County Council of Norrbotten, the Joint Committee North Medical Care Region (‘Visare Norr’), and the Swedish Medical Research Council (No. K2001‐73x‐06578‐19A). Essum AB prepared of the bottles with nasal spray. The role of the funder (if any) in the conception, design, or conduct of the study or in the analysis or interpretation of the data was not reported.

AOM: acute otitis media
 ARI: acute respiratory infection
 CFU: colony‐forming units
 COI: conflict of interest
 ENT: ear, nose, and throat
 FEV1: forced expiratory volume in one second
 GI: gastrointestinal
 IL‐8: interleukin‐8
 LRTI: lower respiratory tract infection
 NR: not reported
 SD: standard deviation
 SOM: serous otitis media
 TNF: tumour necrosis factor
 URI: upper respiratory infection
 URTI: upper respiratory tract infection

Characteristics of excluded studies [ordered by study ID]

Study Reason for exclusion
Agustina 2012 Wrong outcomes
Ahanchian 2016 Wrong outcomes
Arvola 1999 Wrong outcomes
Aryayev 2012 Wrong outcomes
Auinger 2013 Wrong population
Bellomo 1980 Wrong outcomes
Canani 2016 Wrong outcomes
Cazzola 2010 Wrong outcomes
Cobo 2006 Wrong outcomes
Collet 1993 Wrong intervention
Corsello 2016 Wrong outcomes
Coulthard 2004 Wrong study type
Crawford 2015 Wrong study type
Cáceres 2010 Wrong outcomes
Dekker 2017 Wrong outcomes
Di Pierro 2012 Wrong study type
Garaiova 2015 Wrong outcomes
Gerasimov 2012 Wrong outcomes
Gerasimov 2016 Wrong outcomes
Gonchar 2015 Wrong outcomes
Guillemard 2010 Wrong population
Gutierrez‐Castrellon 2014 Wrong outcomes
Hatakka 2001b Wrong study type
He 2005 Wrong outcomes
Hojsak 2009a Wrong outcomes
Hojsak 2009b Wrong outcomes
Hojsak 2010b Wrong outcomes
Hojsak 2015 Wrong outcomes
ISCTRN 2004 Clinical trial record only, picked up in literature searches; no publications resulting from this trial
Ito 2017 Wrong intervention
Jespersen 2015 Wrong population
Kaplan 1968 Wrong study type
Kloster 2008 Wrong outcomes
Kukkonen 2008 Wrong outcomes
Kumpu 2012 Wrong outcomes
Kumpu 2013 Wrong outcomes
Laursen 2017a Wrong outcomes
Lehtoranta 2012 Wrong outcomes
Li 2014 Wrong outcomes
Lin 2009 Wrong outcomes
Luoto 2014 Wrong outcomes
Maldonado 2010 Wrong outcomes
Maldonado 2011 Wrong outcomes
Marchisio 2010 Wrong intervention
Marchisio 2016 Wrong study type
Marchisio 2017 Wrong study type
Marogna 2014 Wrong outcomes
Marseglia 2007 Wrong outcomes
Merenstein 2010 Wrong outcomes
Mizgier 2013 Wrong outcomes
Nocerino 2014 Wrong outcomes
Nocerino 2016 Wrong outcomes
Pitkaranta 2003 Conference abstract for a study that was included as a full article (Hatakka 2007a)
Prodeus 2016 Wrong outcomes
Puccio 2007 Wrong outcomes
Ringel‐Kulka 2015 Wrong outcomes
Rivero 2004 Wrong outcomes
Río 2002 Wrong outcomes
Sazawal 2004 Wrong outcomes
Sazawal 2010 Wrong outcomes
Schrezenmeir 2004 Wrong outcomes
Skovbjerg 2009 Wrong outcomes
Smith 2016 Wrong outcomes
Stojkovic 2016 Wrong study type
Timby 2015 Wrong intervention
Vlieger 2009 Wrong outcomes
Weizman 2006 Wrong outcomes
West 2008 Wrong outcomes
Wright 2009 Wrong population

Characteristics of ongoing studies [ordered by study ID]

ACTRN12618000130268.

Trial name or title A randomised placebo controlled trial of the effect of BLIS probiotic, S. salivarius (K12) on otitis media (ear infections) and upper respiratory tract infections amongst 6‐24 month old children, as measured by medical record events
Methods Quadruple‐blind (participant, individuals administering treatment, outcome assessors, outcome analysts), placebo‐controlled, randomised clinical trial with 2 arms
Participants Infants 6 months old; both genders
Interventions Probiotic (Streptococcus salivarius K12), isomalt, maltodextrin, and natural flavour; placebo
Outcomes The primary outcome will be rate of doctor‐recorded AOM in the 18 months the child takes part in the trial.
Starting date Not yet started; recruitment anticipated to start February 2018, actual start date not listed
Contact information Prof Julian Crane, julian.crane@otago.ac.nz
Trial ID ACTRN12618000130268
Trial name or title BLIS‐OM
Notes

EUCTR2017‐000820‐83‐FI.

Trial name or title Otitis media and nasopharyngeal microbiome in children
Methods Open, randomised clinical trial with 2 arms
Participants Age 1 to 6 years, in day‐care centre in the city of Oulu, Finland
Interventions Streptococcus salivarius K12 strain (oral powder in sachet); no treatment
Outcomes Primary endpoint is the positive S salivarius quantitative 16S RNA PCR result in time points 1 and 2 months, e.g. after the 1 month use of the product and 1 month after that. Hence we are measuring the rate of S salivarius colonisation, or the microbiological efficiency of the different products. Samples are to be taken from controls as well since we do not know if the bacteria are able to transmit among children, and for how long the desired result lasts.
Starting date Unclear. Current status: ongoing
Contact information Oulu University Hospital, phone: +35883152011
Trial ID EUCTR2017‐000820‐83‐FI
Trial name or title
Notes

ISRCTN53286030.

Trial name or title A controlled trial of probiotics in the prevention of episodes of otitis media in general practice
Methods Blinding NR, randomised, placebo‐controlled trial
Participants Children 6 to 11 months old, both genders
Interventions Probiotics (Lactobacillus and bifidobacteria); placebo
Outcomes Primary outcome: reported episodes of recurrent significant otalgia difference in proportions over 3 months
Starting date September 2003
Contact information Dr Ian Williamson, University of Southampton; igw@soton.ac.uk
Trial ID ISRCTN53286030
Trial name or title PIPO
Notes

NCT01724203.

Trial name or title Effect of 12‐week probiotic supplementation on bacterial and viral infections in infants aged 6 to 12 months
Methods Double‐blind (participant, investigator), placebo‐controlled, randomised clinical trial with 3 arms
Participants Children aged 6 to 12 months, both genders
Interventions Arm 1: Lactobacillus rhamnosus HN001; arm 2: Bifidobacterium animalis subsp. lactis; arm 3: placebo
Outcomes Primary outcome: proportion of participants with 1 or more of confirmed bacterial or viral infections at any time during the study
Starting date December 2012
Contact information Dr Xiaoyang Sheng, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine (email/phone not provided)
Trial ID NCT01724203
Trial name or title
Notes

NCT01909128.

Trial name or title Fermented milk and fermented rice on the appearance of respiratory and gastrointestinal symptoms
Methods Quadruple‐blind (participant, care provider, investigator, outcomes assessor), placebo‐controlled, randomised clinical trial with 3 arms
Participants Children aged 12 to 48 months, both genders
Interventions Arm 1: fermented milk with probiotic; arm 2: fermented rice with probiotic; arm 3: placebo
Outcomes Primary outcome: common respiratory and gastrointestinal infections
Starting date February 2013
Contact information Roberto Berni Canani, MD, PhD, Federico II University (email/phone not provided)
Trial ID NCT01909128
Trial name or title
Notes Included as Nocerino 2017

NCT02221687.

Trial name or title Evaluation of the efficacy and safety of an infant formula containing synbiotics and its effects on the incidence of infectious diseases in the infant gut: a double‐blind, randomised, controlled interventional study
Methods Triple‐blind (participant, care provider, investigator), placebo‐controlled, randomised clinical trial with 3 arms
Participants Children up to 5 weeks old, both genders
Interventions Synbiotic formula (standard formula enriched with prebiotic + probiotic); control formula (standard formula); no intervention (breast fed group)
Outcomes Primary outcome: cumulative number of infectious diarrhoea episodes per child during the first year of life
Starting date August 2014
Contact information Hugues Piloquet, Paediatrician (email/phone not provided)
Trial ID NCT02221687
Trial name or title GOLFIII
Notes

NCT02802059.

Trial name or title E. coli Nissle 1917 ‐ suspension for infection prophylaxis
Methods Double‐blind (participant, investigator), placebo‐controlled, randomised clinical trial with 2 arms
Participants Age at inclusion: maximum 120 hours after birth, both genders
Interventions Escherichia coli strain Nissle 1917 (EcN‐Suspension) probiotic bacteria; placebo
Outcomes Primary outcome: number of infections confirmed by a medical doctor
Starting date October 2015
Contact information Corinna Wolff, Dipl‐Biophys; corinna.wolff@ardeypharm.de
Trial ID NCT02802059
Trial name or title RONi
Notes

NCT03516409.

Trial name or title Bio‐Kult Infantis in AAD prevention in infants
Methods Open, placebo‐controlled, randomised clinical trial with 2 arms
Participants Children 6 months to 35 months old, both genders
Interventions Bio‐Kult Infantis (a multistrain probiotic formula); placebo (maltodextrin DE19)
Outcomes Primary outcome: incidence of antibiotic‐associated diarrhoea
Starting date April 2018
Contact information Dr Salvatore Tripodi, UOC Paediatric Hospital "Sandro Pertini" (email/phone not provided)
Trial ID NCT03516409
Trial name or title
Notes

NCT03614117.

Trial name or title Effect of a new probiotic strain on recurrent acute otitis media in children
Methods Quadruple‐blind (participant, care provider, investigator, outcomes assessor), placebo‐controlled, randomised clinical trial with 3 arms
Participants Children 1 to 4 years old with recurrent AOM, and presence of AOM at the time of inclusion in the study
Interventions Arm 1: Lactobacillus salivarius PS7 for 6 months; arm 2: L salivarius PS 7 + placebo for 3 months each; arm 3: placebo supplement
Outcomes Primary outcome: number of AOM episodes
Starting date October 2018
Contact information Susana Manzano; susana.manzano@probisearch.com
Trial ID NCT03614117
Trial name or title PROMAR
Notes

AAD: antibiotic‐associated diarrhoea
 AOM: acute otitis media

 NR: not reported
 PCR: polymerase chain reaction
 RNA: ribonucleic acid

Differences between protocol and review

Differences from the protocol:

  1. Study population: the protocol stated that the population of interest is children (aged ≤ 18 years) diagnosed with acute otitis media (AOM) by a clinician. Because this review looks at the role of probiotics in preventing AOM, we broadened the population to include any children (aged ≤ 18 years), still including children diagnosed with AOM.

  2. Electronic searches: the protocol stated that we would contact trial investigators for unpublished data. The status of trials categorised as 'ongoing studies' is as follows: not yet started or ongoing (five trials); contact information not available (two trials); already published (publication included in the present review) (one trial); awaiting response from investigators (one trial) (ISRCTN53286030).

  3. Electronic searches: our protocol specified that we would use the 'similar articles' feature in PubMed and shared citation matcher in Web of Science. However, as forward and backward citation searches did not yield any additional included trials, we did not expect to find any additional included trials this way.

  4. Subgroup analysis: we planned to carry out the following subgroup analyses: (1) child's age (≤ two years old), (2) type of probiotic, (3) children with severe AOM, (4) trials that included a co‐intervention. (1) The first subgroup analysis was planned because the initial Population Intervention Comparison Outcome (PICO) stated that included trials will have as their population children diagnosed with AOM, and there is no consensus on the benefit of antibiotics in AOM in children younger than two years old and guidelines recommend selective use of antibiotics for AOM in children older than two years old (Rovers 2006). As the population was amended to include all children, this subgroup analysis was omitted. (2) We did conduct an analysis by probiotic type (see Analysis 1.3). (3) We did not conduct a subgroup analysis by severity of AOM, as this outcome was reported by only one included trial. (4) We did not conduct a subgroup analysis by co‐intervention because in only one trial all children (both groups) received a co‐intervention (Roos 2001a).

  5. Sensitivity analysis: we planned to carry out a sensitivity analysis on including versus excluding trials with two or more domains rated as at high risk of bias, however this was not performed as only one included study rated two domains as at high risk of bias.

  6. Primary outcome was specified as 'incidence of AOM' in the protocol. This was reported as 'proportion of children with AOM' in the review due to variation in the time points at which studies reported the outcome.

  7. Secondary outcome was specified as 'difference between probiotic and non‐probiotic groups in use of antibiotics to treat AOM (e.g. dose, duration)' in the protocol. This was reported as 'difference in the use of antibiotics' in the review to more accurately refect the evidence available for meta‐analyses.

  8. 'Summary of findings' table: the protocol stated that we would create a 'Summary of findings' table using the following outcomes: incidence of AOM, severity of AOM, adverse events, median duration of AOM episodes, difference between groups in antibiotic use, time off school (child), time off work (parent or carer). Due to a paucity of data and change in how the primary outcome was reported (proportion of children with AOM), we instead reported the following outcomes: proportion of children with AOM, proportion of children with AOM among children not prone to AOM, proportion of children with AOM among children prone to AOM, severity of AOM, adverse events, time off school for child, difference in antibiotic use, difference in proportion of children with other infections.

  9. Three subgroup analyses were not prespecified but were conducted because there were sufficient data available for pooling: difference in the use of antibiotics (subgroups: for AOM, for other infections); difference in other infections (subgroups: reduction in acute respiratory infections, reduction in gastrointestinal infections); and proportion of children with AOM (children prone to AOM, children not prone to AOM).

  10. Authorship: one of the protocol authors (Elaine Beller) was not involved in the systematic review itself and is thus not listed as an author here.

Contributions of authors

Draft the protocol: AMS, KG, Elaine Beller, KR, JC, PL, CDM
 Develop the search strategy: JC
 Run the search strategy: JC
 Obtain copies of trials: JC
 Select which trials to include: AMS, JC, FI, BJ
 Extract data from trials: AMS, FI, BJ
 Enter data into Review Manager 5: AMS
 Carry out the analysis: AMS, CDM
 Interpret the analysis: AMS, JC, BJ, FI, KR, KG, PL, CDM
 Draft the final review: AMS, KG, CDM
 Update the review: AMS, CDM

Sources of support

Internal sources

  • There are no internal sources of support to report, Other.

External sources

  • There are no external sources of support to report, Other.

Declarations of interest

Anna M Scott: Salary funded by the Centre for Research Excellence in Minimising Antibiotic Resistance from Acute Respiratory Infections (CREMARA), which itself is funded by the National Health and Medical Research Council (NHMRC), Australia.

Justin Clark: Salary funded by the Centre for Research Excellence in Minimising Antibiotic Resistance from Acute Respiratory Infections (CREMARA), which itself is funded by the National Health and Medical Research Council (NHMRC), Australia.

Blair Julien: has no conflicts of interest to declare.

Farhana Islam: has no conflicts of interest to declare.

Kristian Roos: is a minor shareholder of a small biomedical company (ESSUM AB), which has for many years been performing research with probiotic bacteria. ESSUM AB has no patent in probiotic bacteria that might be used for acute otitis media, and ESSUM has no intention of conducting research into acute otitis media.

Keith Grimwood: has no conflicts of interest to declare.

Paul Little: A study for which PL was Chief Investigator had placebo and probiotic tablets provided by a commercial company that makes probiotic (Cultech).

Chris Del Mar: reports Centre for Research Excellence in Minimising Antibiotic Resistance from Acute Respiratory Infections (CREMARA) and Centre of Research in Minimising Antibiotic Resistance in the Community (CRE‐MARC) institutional funding (National Health and Medical Research Council (NHMRC)); Cochrane Acute Respiratory Infections Group institutional funding (NHMRC); institutional and personal funding from the Australian Commission on Safety and Quality in Health Care for the development of patient decision aids; personal consulting funding for shared decision‐making implementation (BUPA, UK); American College of Physicians (ACP) Journal Club editorial work; consultancy/providing advice to a pharmaceutical company about a proposed vaccine that might be effective against otitis media in children.

New

References

References to studies included in this review

Cohen 2013a {published data only}

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Hojsak 2009b {published data only}

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Ito 2017 {published data only}

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