Skip to main content
The Cochrane Database of Systematic Reviews logoLink to The Cochrane Database of Systematic Reviews
. 2023 Jul 26;2023(7):CD005496. doi: 10.1002/14651858.CD005496.pub6

Probiotics to prevent necrotising enterocolitis in very preterm or very low birth weight infants

Sahar Sharif 1, Nicholas Meader 1, Sam J Oddie 1,2, Maria X Rojas-Reyes 3,4, William McGuire 1,
Editor: Cochrane Neonatal Group
PMCID: PMC10370900  PMID: 37493095

Abstract

Background

Intestinal dysbiosis may contribute to the pathogenesis of necrotising enterocolitis (NEC) in very preterm or very low birth weight (VLBW) infants. Dietary supplementation with probiotics to modulate the intestinal microbiome has been proposed as a strategy to reduce the risk of NEC and associated mortality and morbidity in very preterm or VLBW infants.

Objectives

To determine the effect of supplemental probiotics on the risk of NEC and associated mortality and morbidity in very preterm or very low birth weight infants.

Search methods

We searched CENTRAL, MEDLINE, Embase, the Maternity and Infant Care database, and CINAHL from inception to July 2022. We searched clinical trials databases and conference proceedings, and examined the reference lists of retrieved articles.

Selection criteria

We included randomised controlled trials (RCTs) and quasi‐RCTs comparing probiotics with placebo or no probiotics in very preterm infants (born before 32 weeks' gestation) and VLBW infants (weighing less than 1500 g at birth).

Data collection and analysis

Two review authors independently evaluated risk of bias of the trials, extracted data, and synthesised effect estimates using risk ratios (RRs), risk differences (RDs), and mean differences (MDs), with associated 95% confidence intervals (CIs). The primary outcomes were NEC and all‐cause mortality; secondary outcome measures were late‐onset invasive infection (more than 48 hours after birth), duration of hospitalisation from birth, and neurodevelopmental impairment. We used the GRADE approach to assess the certainty of the evidence.

Main results

We included 60 trials with 11,156 infants. Most trials were small (median sample size 145 infants). The main potential sources of bias were unclear reporting of methods for concealing allocation and masking caregivers or investigators in about half of the trials. The formulation of the probiotics varied across trials. The most common preparations contained Bifidobacterium spp., Lactobacillus spp., Saccharomyces spp., andStreptococcus spp., alone or in combination.

Very preterm or very low birth weight infants

Probiotics may reduce the risk of NEC (RR 0.54, 95% CI 0.46 to 0.65; I² = 17%; 57 trials, 10,918 infants; low certainty). The number needed to treat for an additional beneficial outcome (NNTB) was 33 (95% CI 25 to 50). Probiotics probably reduce mortality slightly (RR 0.77, 95% CI 0.66 to 0.90; I² = 0%; 54 trials, 10,484 infants; moderate certainty); the NNTB was 50 (95% CI 50 to 100). Probiotics probably have little or no effect on the risk of late‐onset invasive infection (RR 0.89, 95% CI 0.82 to 0.97; I² = 22%; 49 trials, 9876 infants; moderate certainty). Probiotics may have little or no effect on neurodevelopmental impairment (RR 1.03, 95% CI 0.84 to 1.26; I² = 0%; 5 trials, 1518 infants; low certainty).

Extremely preterm or extremely low birth weight infants

Few data were available for extremely preterm or extremely low birth weight (ELBW) infants. In this population, probiotics may have little or no effect on NEC (RR 0.92, 95% CI 0.69 to 1.22, I² = 0%; 10 trials, 1836 infants; low certainty), all‐cause mortality (RR 0.92, 95% CI 0.72 to 1.18; I² = 0%; 7 trials, 1723 infants; low certainty), or late‐onset invasive infection (RR 0.93, 95% CI 0.78 to 1.09; I² = 0%; 7 trials, 1533 infants; low certainty). No trials provided data for measures of neurodevelopmental impairment in extremely preterm or ELBW infants.

Authors' conclusions

Given the low to moderate certainty of evidence for the effects of probiotic supplements on the risk of NEC and associated morbidity and mortality for very preterm or VLBW infants, and particularly for extremely preterm or ELBW infants, there is a need for further large, high‐quality trials to provide evidence of sufficient validity and applicability to inform policy and practice.

Keywords: Female; Humans; Infant; Infant, Newborn; Enterocolitis, Necrotizing; Enterocolitis, Necrotizing/epidemiology; Fetal Growth Retardation; Infant, Extremely Premature; Infant, Premature, Diseases; Infant, Premature, Diseases/etiology; Infant, Premature, Diseases/prevention & control; Infant, Very Low Birth Weight; Probiotics

Plain language summary

Probiotics for prevention of necrotising enterocolitis in very preterm or very low birth weight infants

Review question
Does giving very preterm or very low birth weight infants probiotics prevent necrotising enterocolitis?

Background

Very preterm infants (those born more than eight weeks early) and very low birth weight infants (those weighing less than 1.5 kg at birth) are at risk of developing necrotising enterocolitis, a severe condition where tissues in the lining of the infant's bowel become inflamed and start to die. This condition can lead to death, serious infection, long‐term disability, and developmental problems.

What did we want to find out?

One way to help prevent necrotising enterocolitis may be to add probiotics (dietary supplements containing potentially beneficial bacteria or yeasts) to milk feeds. We wanted to find out whether probiotic supplementation might benefit very preterm and very low birth weight infants. Specifically, we wanted to know if probiotic supplementation was better than placebo (dummy treatment) or no treatment for improving:

• necrotising enterocolitis;
• death from any cause;
• serious infection;
• duration of hospitalisation from birth; and
• neurodevelopmental disability.

What did we do?

We searched several important databases to identify randomised controlled trials (trials that assign participants to one of two or more treatment groups at random) that investigated the use of probiotics for preventing necrotising enterocolitis in very preterm and very low birth weight infants. We compared and summarised the results of the studies and rated our confidence in the evidence based on factors such as study methods and sizes.

What did we find?

We found 60 trials with 11,156 infants. Most trials were small and had design flaws that might have biased their findings.

Main results

Giving very preterm and very low birth weight infants probiotics, compared with giving them placebo or no treatment, may reduce their risk of necrotising enterocolitis, and probably reduces their risk of death. Probiotics probably have little or no effect on serious infection and may have little or no effect on disability or developmental outcomes. Probiotics compared with placebo or no treatment may have little or no effect on necrotising enterocolitis, death, or serious infection in extremely preterm infants (those born more than 12 weeks early) or extremely low birth weight infants (those weighing less than 1.0 kg at birth).

What are the limitations of this evidence?

The methods used in the included trials may have exaggerated the benefits of giving probiotics to very preterm and very low birth weight infants. Furthermore, the effect could have been biased by small trials with unreliable methods.

Because we have little confidence or moderate confidence in the evidence for the effects of probiotic supplements in very preterm or very low birth weight infants, there is a need for additional large, high‐quality trials to provide evidence of sufficient validity and applicability to inform policy and practice.

How up to date is this evidence?

The evidence is up to date to July 2022.

Summary of findings

Summary of findings 1. Probiotics compared to control in very preterm or very low birth weight infants.

Probiotics compared to placebo or no probiotics in very preterm or very low birth weight infants
Patient or population: very preterm or very low birth weight infants
Setting: neonatal care centres worldwide
Intervention: probiotics
Comparison: placebo or no probiotics
Outcomes Anticipated absolute effects* (95% CI) Risk ratio
(95% CI) № of participants
(trials) Certainty of the evidence
(GRADE)
Risk with control Risk with probiotics
Necrotising enterocolitis (before hospital discharge) 60 per 1000 33 per 1000
(28 to 39) 0.54
(0.46 to 0.65) 10,918 (57) ⊕⊕⊝⊝
Lowa,b
All‐cause mortality (before hospital discharge) 63 per 1000 48 per 1000
(42 to 57) 0.77 (0.66 to 0.90) 10,484 (54) ⊕⊕⊕⊝
Moderatea
Late‐onset invasive infection (before hospital discharge) 173 per 1000 154 per 1000
(142 to 168) 0.89 (0.82 to 0.97) 9876 (49) ⊕⊕⊕⊝
Moderatea
Neurodevelopmental impairment (18 months to 3 years) 194 per 1000 200 per 1000
(163 to 245) 1.03
(0.84 to 1.26) 1518 (5) ⊕⊕⊝⊝
Lowa,c
*The risk in the intervention group (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval.
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.

aDowngraded one level for high risk of bias due to uncertainty about methods used to generate random sequence, conceal allocation, and mask outcome assessment.
bDowngraded one level for publication bias (funnel plot asymmetry and statistical evidence consistent with trial size; trials favouring controls missing).
cDowngraded one level for serious imprecision of effect estimate (95% CI around estimate consistent with substantial harm or benefit).

Summary of findings 2. Probiotics compared to control in extremely preterm or extremely low birth weight infants.

Probiotics compared to placebo or no probiotics in extremely preterm or extremely low birth weight infants
Patient or population: extremely preterm or extremely low birth weight infants
Setting: neonatal care centres globally
Intervention: probiotics
Comparison: placebo or no probiotics
Outcomes Anticipated absolute effects* (95% CI) Risk ratio
(95% CI) № of participants
(trials) Certainty of the evidence
(GRADE)
Risk with control (extremely preterm or ELBW) Risk with Probiotics
Necrotising enterocolitis (before hospital discharge) 94 per 1000 87 per 1000
(65 to 114) 0.92
(0.69 to 1.22) 1836 (10) ⊕⊕⊝⊝
Lowa
All‐cause mortality (before hospital discharge) 132 per 1000 121 per 1000
(95 to 156) 0.92
(0.72 to 1.18) 1723 (7) ⊕⊕⊝⊝
Lowa
Late‐onset invasive infection (before hospital discharge) 274 per 1000 255 per 1000
(214 to 299) 0.93
(0.78 to 1.09) 1533 (7) ⊕⊕⊝⊝
Lowa
Neurodevelopmental impairment (18 months to 3 years) No trials provided subgroup data for analysis.
*The risk in the intervention group (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval.
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.

aDowngraded one level for high risk of bias (uncertainty about methods used to generate random sequence, conceal allocation, and mask assessments) in many trials, and one level for serious imprecision of effect estimate (95% CI around estimate consistent with substantial harm or benefit).

Background

The intestinal microbiome may play an important role in the pathogenesis of necrotising enterocolitis (NEC; Embleton 2017). Probiotics are microorganisms that benefit the host by modulating the intestinal microbiome and promoting mucosal barrier functions and resistance to pathogens. Dietary supplementation with probiotics has been proposed as a strategy to reduce the risk of NEC and associated morbidity and mortality in very preterm or very low birth weight (VLBW) infants.

Description of the condition

NEC, a syndrome of acute intestinal necrosis of unknown aetiology, affects around 5% of very preterm or VLBW infants (Horbar 2012). The major risk predictors for NEC include extremely preterm birth or extremely low birth weight (ELBW), and evidence of intrauterine growth restriction or absent or reversed end‐diastolic flow velocities in Doppler studies of the foetal aorta or umbilical artery (Samuels 2017). Infants who develop NEC experience more infections, have lower levels of nutrient intake, grow more slowly, and have longer stays in intensive care and hospital than gestation‐comparable infants without NEC (Battersby 2018; Berrington 2012). The associated mortality rate is around 20%, and infants who develop NEC, especially if associated with bloodstream infections, have a higher risk of neurodevelopmental problems and disability compared with their peers (Hickey 2018; Martin 2010).

The pathogenesis of NEC remains unclear but is thought to involve intestinal dysbiosis, infection, and inflammation (Eaton 2017; Mara 2018; Morgan 2011). Emerging evidence supports the theory that the intestinal microbiome affects the risk of developing NEC (Masi 2019; Olm 2019; Stewart 2012; Warner 2016). Most very preterm or VLBW infants who develop NEC have received enteral milk feeds; feeding with human milk rather than cow's milk formula reduces the risk of NEC (Quigley M 2019). One putative explanation for this protective effect is that prebiotic substances in human milk promote the growth of non‐pathogenic probiotic microorganisms, predominantly lactobacilli and bifidobacteria, that modulate the intestinal microbiome and promote mucosal barrier functions (Embleton 2017; Granger 2020; Walsh 2019). However, compared with human milk‐fed term infants, very preterm or VLBW infants typically harbour fewer probiotic microorganisms and more potential pathogens such as enterococci and Enterobacteriaceae, which might be due to dysbiotic effects of enteral fasting and antibiotic exposure (Stewart 2017).

Given the putative role of probiotics in maintaining the structure, integrity, and function of the intestinal barrier, the possibility that supplemental probiotics might be effective in preventing NEC is of considerable research interest (Berrington 2019; Patel 2018).

Description of the intervention

The probiotic preparations most commonly used as enteral supplements contain one or more strains of bacteria (typically bifidobacteria or lactobacilli) or the fungus Saccharomyces boulardii (Thomas 2010). Other bacteria with probiotic properties include Bacillus clausii, Enterococcus faecium, and Streptococcus thermophilus. Exogenous probiotics can colonise the mucosal surface of the human gastrointestinal tract (Abdulkadir 2016; Zmora 2018). A range of probiotic supplements are available commercially as single‐ or multiple‐strain preparations and have been used to prevent and treat infectious or inflammatory gastrointestinal conditions in adults. However, despite biological plausibility and underpinning preclinical studies, the evidence is of low certainty for most conditions (Bron 2017; Koretz 2018; Kunk 2019; Lerner 2019; Suez 2019). Furthermore, there are reports of serious unexpected adverse events and outcomes of probiotic supplementation in critically ill adults (Besselink 2008; Boyle 2006).

Probiotics for very preterm infants

Policies and practices for the use of probiotic supplements to prevent NEC in very preterm or VLBW infants vary within and between countries (Duffield 2019; Poindexter 2021; Viswanathan 2016). Parents have expressed willingness to consider probiotics for their very preterm or VLBW infants if evidence of benefit and safety exists (Sesham 2014). Enteral administration of commercially available supplements of lyophilised probiotic microorganisms (usually multispecies preparations containing lactobacilli, bifidobacteria, or both) is established in some settings (Robertson 2020). However, routine use outwith trials remains limited because of uncertainty about the optimal constitution of preparations (strains of microorganisms and dosing strategies), quality control and safety issues (including contamination of products with potential pathogens), and national licencing processes and regulatory requirements (Berrington 2019; Fleming 2019; Pell 2019; Poindexter 2021; van den Akker 2020; Vermeulen 2020). Although probiotic supplementation in immunocompetent adults is considered safe, research suggests that exogenous probiotic microorganisms have caused bacteraemia or fungaemia in very preterm or VLBW infants (Bertelli 2015; Esaiassen 2016; Jenke 2012; Sakurai 2021; Zbinden 2015).

How the intervention might work

Intestinal probiotic microorganisms are thought to exert their beneficial effects via several mechanisms. Probiotics may out‐compete pathogens for nutrients and limit pathogen growth via production of inhibitory organic acids (postbiotics) and antimicrobial compounds (Embleton 2017; Patel 2015). Infants supplemented with probiotics harbour fewer potential pathogens in the intestine (Alcon‐Giner 2020). Other putative actions include stimulating differentiation and proliferation of enterocytes, enhancing expression of intestinal digestive enzymes, and improving intestinal mucosal barrier integrity (Bron 2017; Johnson‐Henry 2016; Sanders 2019).

Why it is important to do this review

NEC and associated complications, particularly infections, are the commonest causes of mortality and serious morbidity beyond the early neonatal period in very preterm or VLBW infants (Berrington 2012). Since probiotic supplementation might reduce the risk of NEC, appraising and synthesising the trial evidence about the effectiveness and safety of probiotic supplementation could inform practice, policy, and research (Embleton 2016; Quigley E 2019). Current international policy statements that exist to guide practice do not make unconditional recommendations for use of any probiotic combination for very preterm or VLBW infants (Marchand 2012; van den Akker 2020).

Objectives

To determine the effect of supplemental probiotics on the risk of NEC and associated mortality and morbidity in very preterm or VLBW infants.

Methods

Criteria for considering studies for this review

Types of studies

We included randomised controlled trials (RCTs) and quasi‐RCTs.

Types of participants

Eligible trials enrolled very preterm infants (born before 32 weeks' gestation) or VLBW infants (weighing less than 1500 g at birth). We prespecified analyses for extremely preterm infants (born before 28 weeks' gestation) or ELBW infants (weighing less than 1000 g at birth).

Types of interventions

We included enteral administration of any probiotic or probiotic combination for at least one week compared with placebo or no treatment.

We categorised probiotic preparations at the genus level (Bifidobacterium spp., Lactobacillus spp., Sacchromyces spp., Streptococcal spp., others, and combinations thereof).

Types of outcome measures

We focused on assessing effects on infant‐ and family‐important outcomes, principally neonatal morbidities that plausibly affect rates of mortality or neurodisability. We did not include surrogate outcomes such as stool colonisation patterns.

Primary outcomes
  • NEC before hospital discharge, confirmed at surgery or autopsy or using the following standardised clinical and radiological criteria (VON 2020):

    • at least one of: bilious gastric aspirate or emesis, abdominal distention, or blood in stool; and

    • at least one of: abdominal radiograph showing pneumatosis intestinalis, gas in the portal venous system, or free air in the abdomen.

  • All‐cause mortality before hospital discharge

Secondary outcomes
  • Late‐onset invasive infection, as determined by culture of bacteria or fungus from blood or cerebrospinal fluid or from a normally sterile body space (from 48 hours after birth until discharge from hospital)

  • Late‐onset infection with the supplemented probiotic microorganism before discharge from hospital

  • Duration of hospitalisation from birth (days)

  • Neurodevelopmental impairment assessed by a validated test after 12 months' post‐term (neurological evaluations, developmental scores, and classifications of disability, including cerebral palsy and auditory and visual impairment).

Search methods for identification of studies

We used the criteria and standard methods of Cochrane Neonatal.

Electronic searches

We searched the following electronic databases using a combination of text words and MeSH terms (Appendix 1).

  • Cochrane Central Register of Controlled Trials (CENTRAL; 2022, Issue 7), in the Cochrane Library

  • MEDLINE via Ovid (1946 to July 2022)

  • Embase via Ovid (1974 to July 2022)

  • Maternity & Infant Care Database via Ovid (1971 to June 2022)

  • Cumulative Index to Nursing and Allied Health Literature (CINAHL; 1982 to July 2022)

We limited the search outputs with filters for clinical trials as recommended in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2020). We applied no language restrictions.

We searched the following trials registries for ongoing or recently completed trials.

  • The US National Institutes of Health Ongoing Trials Registry ClinicalTrials.gov (clinicaltrials.gov)

  • The World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP; trialsearch.who.int)

  • The ISRCTN Registry (www.isrctn.com)

Searching other resources

We examined the reference lists of all included articles for any other potentially eligible trials.

Data collection and analysis

We used the standard methods of Cochrane Neonatal for data collection and analysis.

Selection of studies

Two review authors (SS and WM) independently screened the titles and abstracts of all studies and eliminated those that were clearly ineligible. The same two review authors then read the full‐text articles of all potentially eligible trials and excluded those that did not meet our inclusion criteria, recording reasons for exclusion. We discussed disagreements until reaching a consensus, consulting a third review author (SO) for a final decision as necessary.

Data extraction and management

Two review authors (SS, SO, or WM) extracted data independently, using a piloted data extraction form. Specifically, we collected data related to the design, methodology, participants, interventions, outcomes, and treatment effects of included studies. We discussed disagreements until reaching a consensus. If the trial reports provided insufficient data, we contacted the trial authors for further information.

Assessment of risk of bias in included studies

Two review authors (SS, SO, or WM) independently assessed the risk of bias (low, high, or unclear) of all included trials using the Cochrane risk of bias tool (RoB 1), which covers the following domains (Higgins 2011).

  • Random sequence generation (selection bias)

  • Allocation concealment (selection bias)

  • Blinding (masking) of participants, personnel, and outcome assessors (performance and detection bias)

  • Incomplete outcome data (attrition bias)

  • Selective reporting (reporting bias)

  • Other potential sources of bias

Had any disagreements occurred, we would have resolved them through discussion or by involving the third assessor. See Appendix 2 for a description of risk of bias for each domain. 

For cluster‐randomised trials, which randomise groups of individuals (rather than individuals) to the different interventions, we additionally planned to assess bias arising from prior knowledge of cluster‐allocation (identification/recruitment bias, suggested by baseline imbalances in characteristics of participants rather than of clusters) and bias arising from the timing of identification and recruitment of participants (Higgins 2020).

Measures of treatment effect

We analysed the treatment effects in the individual trials by calculating risk ratios (RRs) and risk differences (RDs) for dichotomous data and mean differences (MDs) for continuous data, with their respective 95% confidence intervals (CIs). We also determined the number needed to treat for an additional beneficial outcome (NNTB) or an additional harmful outcome (NNTH) for analyses with a statistically significant RD.

Unit of analysis issues

The unit of analysis was the participating infant in individually randomised trials. For cluster‐randomised trials, we undertook analyses at the level of the individual while accounting for intra‐cluster correlations in the data using methods recommended in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2020). Cross‐over studies were not eligible for inclusion.

Dealing with missing data

We requested additional data from trial authors when data on important outcomes were missing or unclear. If unavailable, we planned to undertake sensitivity analyses to assess the potential impact of missing outcome data.

Assessment of heterogeneity

We examined treatment effects in individual trials and heterogeneity between trial results by inspecting the forest plots if more than one trial was included in a meta‐analysis. We calculated the I² statistic for each analysis to quantify inconsistency across studies and to describe the percentage of variability in effect estimates that may be due to heterogeneity rather than to sampling error. If we detected moderate heterogeneity (I² > 50%) or high heterogeneity (I² > 75%), we planned to explore possible causes (differences in study design, participants, interventions, or outcome assessments).

Assessment of reporting biases

For meta‐analyses with data from 10 or more trials, we created funnel plots and assessed funnel plot asymmetry visually and with Egger's test (for continuous outcomes) or Harbord's modification of Egger's test (for dichotomous outcomes; Harbord 2006).

Data synthesis

We used a fixed‐effect inverse‐variance meta‐analysis for combining data where trials examined the same intervention, and the populations and methods of the trials were sufficiently similar.

Subgroup analysis and investigation of heterogeneity

When we detected high statistical heterogeneity (I² > 75%), we planned to examine the potential causes in the following subgroup analyses for all outcomes.

  • Genus of probiotics or combinations (Bifidobacterium spp., Lactobacillus spp., Sacchromyces spp., Streptococcal spp., others, or combinations thereof)

  • Type of enteral feeding permitted for participating infants (human milk, formula, or mixed)

Sensitivity analysis

We planned sensitivity analyses to determine how estimates were affected by including only studies at low risk of bias in all domains.

Summary of findings and assessment of the certainty of the evidence

Two review authors (SS, SO, or WM) used the GRADE approach to assess the certainty of the evidence for the outcomes NEC, all‐cause mortality, late‐onset invasive infection, and neurodevelopmental impairment (Schünemann 2013; Walsh 1986).

We considered evidence from RCTs as high certainty to begin with, downgrading by one level for serious (or two levels for very serious) limitations based on the following domains.

  • Design (study limitations)

  • Inconsistency across studies

  • Indirectness of the evidence

  • Imprecision of estimates

  • Presence of publication bias.

We used GRADEpro GDT to create a summary of findings table for each comparison and to report the certainty of the evidence. The GRADE approach classifies the certainty of a body of evidence as one of the following four grades.

  • High 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.

Results

Description of studies

Results of the search

After removing duplicates from the search results, we screened 9998 (900 new) titles and abstracts. We reviewed 96 full‐text articles or trial registration records. We included 60 studies (4 new; 56 from previous version of review), excluded 26 studies, listed five studies as awaiting classification, and identified five ongoing studies. For details, see Figure 1.

1.

1

Study flow diagram: review update 2022.

Included studies

See the Characteristics of included studies table.

We included 60 trials with 11,156 infants. This update added four new trials with 344 participants (Alshaikh 2022; Matin 2022; Moreno‐Sanz 2022; Sowden 2022).

Four trials were conducted before 2000, the rest after 2000. Geographical spread was wide, though most trials took place in Europe (23 trials) or Asia (23 trials). Only one trial took place in sub‐Saharan Africa (Zeber‐Lubecka 2016).

Nine trials were multicentre (Al‐Hosni 2012; Costeloe 2015; Dani 2002; Dilli 2015; Hays 2015; Jacobs 2013; Lin 2008; Manzoni 2009; Totsu 2014), and the rest were single‐centre.

One trial, based in 19 neonatal units in Japan, used a cluster design, with the unit of randomisation being the neonatal unit (Totsu 2014). The remaining trials randomised individual infants to intervention or control groups.

Population

There were fewer than 100 infants enrolled in 25 trials, between 100 and 199 in 20 trials, between 200 and 499 in 13 trials, and 500 or more in three trials: Costeloe 2015 (n = 1310), Dani 2002 (n = 585), and Jacobs 2013 (n = 1099).

Most trials enrolled only very preterm or VLBW infants, with average birth weights of around 1000 g to 1200 g, and average gestational ages at birth of 28 to 32 weeks. Eight trials enrolled infants with a gestational age of up to 34 weeks or a birth weight of up to 1800 g (Chandrashekar 2018; Dashti 2014; Fujii 2006; Hernandez‐Enriquez 2016; Mohan 2006; Ren 2010; Strus 2018; Tewari 2015). We included these trials because the average gestation at birth was under 32 weeks or the average birth weight was under 1500 g.

Three trials included only ELBW infants (Al‐Hosni 2012; Alshaikh 2022; Wejryd 2019). Four trials excluded infants with a birth weight below the 10th percentile for the reference population (i.e. who were small for their gestational age; Al‐Hosni 2012; Hays 2015; Indrio 2017; Kitajima 1997). No trials specified exclusion of infants with evidence of absent or reversed end‐diastolic flow velocities on antenatal Doppler studies of the foetal aorta or umbilical artery.

In most trials, infants could be fed either human milk or formula. Eight trials excluded formula‐fed infants (Alshaikh 2022; Roy 2014; Samanta 2009; Shadkam 2015; Shashidhar 2017; Tewari 2015; Van Niekerk 2014; Wejryd 2019), and five trials excluded human milk‐fed infants (Costalos 2003; Chrzanowska‐Liszewska 2012; Indrio 2017; Reuman 1986; Stratiki 2007).

Interventions and comparisons

The probiotic preparations varied across trials: 34 used single‐genus probiotics (most commonly Bifidobacterium spp. or Lactobacillus spp.), and 26 used multigenus combinations (most commonly Bifidobacterium spp. plus Lactobacillus spp.). Most preparations were commercially available products supplied by the manufacturer for use in the trial.

The specific preparations in each trial were as follows.

Half (30) of the trials gave control infants milk feeds that were not supplemented with probiotics. The others used active placebos, most commonly maltodextrin or corn starch powder (20 trials).

Most trials initiated probiotic administration (and placebo if used) during the first week after birth, typically with the first enteral feed. The lyophilised probiotics were reconstituted in water or milk, and administered to supply 108 to 109 colony forming units per dose, once or twice daily via a gastric feeding tube. In most trials, the intervention period was at least six weeks, typically until 34 to 36 weeks' postmenstrual age, or until discharge from hospital. Thirteen of the trials administered the intervention for a shorter period, between seven and 30 days (Braga 2011; Costalos 2003; Dutta 2015; Huang 2009; Kitajima 1997; Matin 2022; Millar 1993; Mohan 2006; Ren 2010; Reuman 1986; Shadkam 2015; Sowden 2022; Van Niekerk 2014). One trial continued the intervention until the infant reached 2000 g bodyweight (Totsu 2014).

Outcomes

Fifty‐seven trials reported the number of infants who developed NEC, and 54 trials reported mortality prior to hospital discharge. For 49 trials, we obtained published or unpublished data for the number of infants with at least one episode of culture‐confirmed infection. Other in‐hospital outcomes included time to establish full enteral feeding, rate of weight gain, and duration of hospital stay (23 trials). Five trials reported neurodevelopmental or cognitive outcomes (Jacobs 2013; Lin 2005; Oncel 2014; Sari 2011; Totsu 2014). One trial assessed cognition in participants aged three to five years (Patole 2014). Three trials reported no outcomes of interest for this review (Agarwal 2003; Li 2019; Moreno‐Sanz 2022).

Excluded studies

We excluded 26 studies (see the Characteristics of excluded studies table). The most common reasons for exclusion were ineligible population (most participants not very preterm or VLBW), ineligible intervention (prebiotics or synbiotics), and ineligible design (not randomised). Four screened articles were secondary reports for included trials.

Ongoing studies

See the Characteristics of ongoing studies table. We identified five ongoing studies (Marißen 2019; NCT00977912; NCT01181791; NCT01375309; NCT04541771). Three of these studies were completed before 2014. We received no responses from the investigators regarding current status or availability of outcomes data (NCT00977912; NCT01181791; NCT01375309).

Awaiting classification

See the Characteristics of studies awaiting classification table. Five studies are awaiting classification (Coleta 2013; Kaban 2019; Niazi 2021; Punnahitananda 2006; Reznikov 2022). We received no responses from the investigators regarding study design or other characteristics to determine eligibility for this review.

Risk of bias in included studies

Methodological quality varied across the included trials (Figure 2).

2.

2

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

Allocation

We considered 27 trials at low risk of selection bias because they employed adequate methods to generate the random sequence (typically computer‐generated randomisation) and to conceal allocation (typically central or pharmacy allocation or storage of allocation codes in sealed envelopes; we did not consider it necessary for reports to describe the envelopes as opaque). There was insufficient information on randomisation and allocation concealment methods in 26 trials (unclear risk of bias). Five quasi‐RCTs used alternate allocation (high risk of bias).

Blinding

We judged 28 trials at low risk of performance bias and detection bias. These were placebo‐controlled (usually maltodextrin), or the report or trial authors indicated that the people responsible for preparing the intervention (mixing the probiotic in milk) were not directly involved in other caregiving duties or outcome assessment (e.g. pharmacy staff). In 13 trials, control infants received milk feeds without probiotic supplements, but it was unclear whether staff were aware of the group allocation (unclear risk of bias). There were no masking measures in 19 trials (high risk of bias).

Incomplete outcome data

Attrition bias did not appear to be an issue in most trials (outcome data reported for more than 80% of randomised cohorts).

Selective reporting

Most reports did not mention a trial protocol. However, reporting bias was unlikely to be an issue in trials that reported our primary outcome and our infant‐important outcomes (low risk of bias). In trials that assessed surrogate outcomes such as stool colonisation or intestinal permeability, clinical outcome data were generally available from the trial authors.

Other potential sources of bias

We found no evidence of between‐group baseline differences in participant characteristics or demographics (particularly average birth weight, gestational age at birth, and exposure to antenatal corticosteroids) in most trials. Two trials did not report baseline demographic characteristics so were at unclear risk of bias (Fernández‐Carrocera 2013; Ren 2010). We judged three trials at high risk of other bias because the average birth weight was higher in the intervention group than in the control group (Dilli 2015; Sadowska‐Krawczenko 2012), or because antenatal corticosteroid exposure was higher in the intervention group than in the control group (Totsu 2014).

Effects of interventions

See: Table 1; Table 2

Comparison 1. Probiotics versus placebo or no probiotics in very preterm or very low birth weight infants

See Table 1.

Primary outcomes
Necrotising enterocolitis

Meta‐analysis of data from 57 trials (10,918 infants) produced the following results (Analysis 1.1; Figure 3)

1.1. Analysis.

1.1

Comparison 1: Probiotics versus placebo or no probiotics (very preterm or very low birth weight infants), Outcome 1: Necrotising enterocolitis

3.

3

Forest plot of comparison: 1 Probiotics versus placebo or no probiotics, outcome: 1.1 Necrotising enterocolitis.

  • RR 0.54, 95% CI 0.46 to 0.65; I² = 17%

  • RD −0.03, 95% CI −0.04 to −0.02

  • NNTB 33, 95% CI 25 to 50

There was evidence of funnel plot asymmetry consistent with publication bias favouring the treatment effect (Harbord's modified test for bias −0.71, 95% CI −1.40 to −0.01; P = 0.05; Figure 4).

4.

4

Funnel plot of comparison: 1 Probiotics versus placebo or no probiotics, outcome: 1.1 Necrotising enterocolitis.

We assessed the certainty of evidence as low using the GRADE approach.

Probiotics compared with placebo or no probiotics may reduce NEC before hospital discharge in very preterm or VLBW infants.

All‐cause mortality

Meta‐analysis of data from 54 trials (10,484 infants) produced the following results (Analysis 1.2; Figure 5).

1.2. Analysis.

1.2

Comparison 1: Probiotics versus placebo or no probiotics (very preterm or very low birth weight infants), Outcome 2: All‐cause mortality

5.

5

Forest plot of comparison: 1 Probiotics versus placebo or no probiotics, outcome: 1.2 Mortality.

  • RR 0.77, 95% CI 0.66 to 0.90; I² = 0%

  • RD −0.02, 95% CI −0.02 to −0.01

  • NNTB 50, 95% CI 50 to 100

There was no evidence of funnel plot asymmetry (Harbord's modified test for bias −0.37, 95% CI −0.99 to 0.24; P = 0.24; Figure 6).

6.

6

Funnel plot of comparison: 1 Probiotics versus placebo or no probiotics, outcome: 1.2 Mortality.

We assessed the certainty of evidence as moderate using the GRADE approach.

Probiotics compared with placebo or no probiotics probably reduce all‐cause mortality before hospital discharge in very preterm or VLBW infants.

Secondary outcomes
Late‐onset invasive infection

Meta‐analysis of data from 49 trials (9876 infants) produced the following results (Analysis 1.3).

1.3. Analysis.

1.3

Comparison 1: Probiotics versus placebo or no probiotics (very preterm or very low birth weight infants), Outcome 3: Late‐onset invasive infection

  • RR 0.89, 95% CI 0.82 to 0.97; I² = 22%

  • RD −0.02, 95% CI −0.03 to 0.00

There was no evidence of funnel plot asymmetry (Harbord's modified test for bias −0.06, 95% CI −0.45 to 0.33; P = 0.87)

We assessed the certainty of evidence as moderate using the GRADE approach.

Probiotics compared with placebo or no probiotics probably have little or no effect on late‐onset invasive infection before hospital discharge in very preterm or VLBW infants.

Late‐onset infection with the supplemented probiotic microorganism

No studies reported invasive infection caused by the supplemented probiotic microorganisms.

Duration of hospitalisation from birth

Meta‐analysis of data from 24 trials (5572 infants) suggested a reduction in duration of hospitalisation with probiotics (MD −1.68 days, 95% CI −3.08 to −0.28; I² = 30%; Analysis 1.4).

1.4. Analysis.

1.4

Comparison 1: Probiotics versus placebo or no probiotics (very preterm or very low birth weight infants), Outcome 4: Duration of hospitalisation from birth (days)

Two other trials reported data that we were unable to meta‐analyse: Oncel 2014 reported shorter median duration of hospitalisation (38 versus 46 days), and Tewari 2015 reported no difference in duration of hospitalisation (data not provided).

Neurodevelopmental impairment

Five trials reported severe neurodevelopmental impairment (either motor, sensory, or cognitive) in surviving children. Three assessed children using Bayley Scales of Infant Development II (BSID‐II) at 18 to 24 months (Oncel 2014; Sari 2011), or three years (Lin 2005) post‐term. One trial assessed Bayley‐III composite scales, Movement Assessment Battery for Children, and Wechsler Preschool and Primary Scale of Intelligence Full Scale Intelligence Quotient at two to five years (Jacobs 2013). One trial, undertaken in Japan, used the Kyoto Scale of Psychological Development 2001 (similar to the Bayley III scales) and physical examination to assess neurodevelopmental status at 18 months post‐term (Totsu 2014).

Completeness of neurodevelopmental follow‐up assessment was balanced between groups in all trials but varied across trials, as follows.

No individual trials showed an effect of probiotics on neurodevelopmental impairment. A meta‐analysis of data from five trials (1518 infants) produced the following results (Analysis 1.5).

1.5. Analysis.

1.5

Comparison 1: Probiotics versus placebo or no probiotics (very preterm or very low birth weight infants), Outcome 5: Neurodevelopmental impairment

  • RR 1.03, 95% CI 0.84 to 1.26; I² = 0%

  • RD 0.01, 95% CI −0.02 to 0.03

We assessed the certainty of evidence as low using the GRADE approach.

Probiotics compared with placebo or no probiotics may have little or no effect on neurodevelopmental impairment at 18 months to three years in very preterm or VLBW infants.

Cerebral palsy

No individual trials showed an effect of probiotics on cerebral palsy. A meta‐analysis of data from five trials (1512 infants) suggested little or no effect (RR 1.13, 95% CI 0.74 to 1.72; I² = 18%; Analysis 1.6).

1.6. Analysis.

1.6

Comparison 1: Probiotics versus placebo or no probiotics (very preterm or very low birth weight infants), Outcome 6: Cerebral palsy

Visual impairment

No individual trials showed an effect of probiotics on visual impairment. A meta‐analysis of data from four trials (1356 infants) suggested little or no effect (RR 0.50, 95% CI 0.14 to 1.80; I² = 0%; Analysis 1.7).

1.7. Analysis.

1.7

Comparison 1: Probiotics versus placebo or no probiotics (very preterm or very low birth weight infants), Outcome 7: Visual impairment

Hearing impairment

No individual trials showed an effect of probiotics on hearing impairment. A meta‐analysis of data from four trials (1356 infants) suggested little or no effect (RR 0.46, 95% CI 0.18 to 1.17; I² = 32%; Analysis 1.8)

1.8. Analysis.

1.8

Comparison 1: Probiotics versus placebo or no probiotics (very preterm or very low birth weight infants), Outcome 8: Hearing impairment

Cognitive performance

Patole 2014 assessed 42% of eligible participants aged three to five years using the Mullen's Scale of Early Learning tool. Analysis showed little or no effect of probiotics on the "early learning composite score" (RR −1.00, 95% CI −6.38, 4.38; Analysis 1.9)

1.9. Analysis.

1.9

Comparison 1: Probiotics versus placebo or no probiotics (very preterm or very low birth weight infants), Outcome 9: Cognitive performance

Comparison 2. Probiotics versus control in extremely preterm or ELBW infants

See Table 2.

Three trials restricted participation to ELBW infants (Al‐Hosni 2012; Alshaikh 2022; Wejryd 2019). Seven trials reported subgroup data for extremely preterm or ELBW infants (Costeloe 2015; Jacobs 2013; Oncel 2014; Roy 2014; Sowden 2022; Tewari 2015; Wang 2007).

Primary outcomes
Necrotising enterocolitis

Meta‐analysis of data from 10 trials (1836 infants) produced the following results (Analysis 2.1).

2.1. Analysis.

2.1

Comparison 2: Probiotics versus placebo or no probiotics (extremely preterm or extremely low birth weight infants), Outcome 1: Necrotising enterocolitis

  • RR 0.92, 95% CI 0.69 to 1.22; I² = 0%

  • RD −0.01, 95% CI −0.03 to 0.02

We assessed the certainty of evidence as low using the GRADE approach.

Probiotics compared with placebo or no probiotics may have little or no effect on NEC before hospital discharge in extremely preterm or ELBW infants.

All‐cause mortality

Meta‐analysis of data from seven trials (1723 infants) produced the following results (Analysis 2.2).

2.2. Analysis.

2.2

Comparison 2: Probiotics versus placebo or no probiotics (extremely preterm or extremely low birth weight infants), Outcome 2: All‐cause mortality

  • RR 0.92, 95% CI 0.72 to 1.18; I² = 0%

  • RD −0.01, 5% CI −0.04 to 0.02

We assessed the certainty of evidence as low using the GRADE approach.

Probiotics compared with placebo or no probiotics may have little or no effect on all‐cause mortality before hospital discharge in extremely preterm or ELBW infants.

Secondary outcomes
Late‐onset invasive infection

Meta‐analysis of data from seven trials (1533 infants) produced the following results (Analysis 2.3).

2.3. Analysis.

2.3

Comparison 2: Probiotics versus placebo or no probiotics (extremely preterm or extremely low birth weight infants), Outcome 3: Late‐onset invasive infection

  • RR 0.93, 95% CI 0.78 to 1.09; I² = 0%

  • RD −0.02, 95% CI −0.06 to 0.02

We assessed the certainty of evidence as low using the GRADE approach.

Probiotics compared with placebo or no probiotics may have little or no effect on late‐onset invasive infection before hospital discharge in extremely preterm or ELBW infants.

Late‐onset infection with the supplemented probiotic microorganism

No trials reported invasive infection caused by the supplemented probiotic microorganisms.

Duration of hospitalisation from birth

Analysis of data from two trials (84 infants) suggested little or no effect of probiotics of duration of hospitalisation (MD 2.18 days, 95% CI −13.8 to 18.21; I² = 77%; Analysis 2.4)

2.4. Analysis.

2.4

Comparison 2: Probiotics versus placebo or no probiotics (extremely preterm or extremely low birth weight infants), Outcome 4: Duration of hospitalisation from birth (days)

Neurodevelopmental impairment

No trials provided subgroup data on neurodevelopmental outcomes for meta‐analysis. Three trials stated that probiotics had no effect on the rate of severe neurodevelopmental impairment in the extremely preterm or ELBW subgroup (Jacobs 2013; Sari 2011; Totsu 2014).

Subgroup comparison by genus of probiotics

Primary outcomes
Necrotising enterocolitis

There was no evidence of subgroup differences depending on genus of probiotics for NEC (Chi² = 10.44, df = 7 (P = 0.16), I² = 33.0%; Analysis 1.1; Figure 3).

All‐cause mortality

There was no evidence of subgroup differences depending on genus of probiotics for all‐cause mortality (Chi² = 3.38, df = 7 (P = 0.85), I² = 0%; Analysis 1.2; Figure 5).

Secondary outcomes
Late‐onset invasive infection

There was no evidence of subgroup differences depending on genus of probiotics for late‐onset invasive infection (Chi² = 2.73, df = 7 (P = 0.91), I² = 0%; Analysis 1.3).

Duration of hospitalisation from birth

There was no evidence of subgroup differences depending on genus of probiotics for duration of hospitalisation (Chi² = 5.99, df = 6 (P = 0.42), I² = 0%; Analysis 1.4).

Neurodevelopmental impairment

There was no evidence of subgroup differences depending on genus of probiotics for neurodevelopmental impairment (Chi² = 1.48, df = 4 (P = 0.83), I² = 0%; Analysis 1.5).

Cerebral palsy

There was no evidence of subgroup differences depending on genus of probiotics for cerebral palsy (Chi² = 4.86, df = 4 (P = 0.30), I² = 17.7%; Analysis 1.6).

Visual impairment

There was no evidence of subgroup differences depending on genus of probiotics for visual impairment (Chi² = 1.75, df = 2 (P = 0.42), I² = 0%; Analysis 1.7).

Hearing impairment

There was no evidence of subgroup differences depending on genus of probiotics for hearing impairment (Chi² = 4.35, df = 3 (P = 0.23), I² = 31.1%; Analysis 1.8).

Subgroup comparison by type of enteral feed (human milk versus formula versus mixed)

Primary outcomes
Necrotising enterocolitis

There was no evidence of subgroup differences depending on the type of enteral feed for NEC (Chi² = 3.92, df = 2 (P = 0.14), I² = 49.0%; Analysis 3.1).

3.1. Analysis.

3.1

Comparison 3: Subgroup analysis by type of feeding, Outcome 1: Necrotising enterocolitis

All‐cause mortality

There was no evidence of subgroup differences depending on the type of enteral feed for all‐cause mortality (Chi² = 2.97, df = 2 (P = 0.23), I² = 32.8%; Analysis 3.2).

3.2. Analysis.

3.2

Comparison 3: Subgroup analysis by type of feeding, Outcome 2: All‐cause mortality

Secondary outcomes
Late‐onset invasive infection

There was no evidence of subgroup differences depending on the type of enteral feed for late‐onset invasive infection (Chi² = 4.33, df = 2 (P = 0.11), I² = 53.8%; Analysis 3.3).

3.3. Analysis.

3.3

Comparison 3: Subgroup analysis by type of feeding, Outcome 3: Late‐onset invasive infection

Duration of hospitalisation from birth

There was some evidence of subgroup differences depending on the type of enteral feed for duration of hospitalisation, with effect size larger in formula than human milk, and larger in human milk than in the mixed group (Chi² = 6.01, df = 2 (P = 0.05), I² = 66.7%; Analysis 3.4).

3.4. Analysis.

3.4

Comparison 3: Subgroup analysis by type of feeding, Outcome 4: Duration of hospitalisation from birth (days)

Neurodevelopmental impairment

In all trials that reported neurodevelopmental impairment, the infants may have received human milk, formula, or both.

Sensitivity meta‐analyses of trials at low risk of bias across all domains

Primary outcomes
Necrotising enterocolitis

Sensitivity meta‐analysis of 17 trials (4649 infants) at low risk of bias produced the following results, suggesting a reduced risk of NEC with probiotics (Analysis 4.1).

4.1. Analysis.

4.1

Comparison 4: Sensitivity analyses: trials at low risk of bias, Outcome 1: Necrotising enterocolitis

  • RR 0.70, 95% CI 0.55 to 0.89; I² = 25%

  • RD −0.02, 95% CI −0.03 to −0.01

  • NNTB 50, 95% CI 33 to 100

All‐cause mortality

Sensitivity meta‐analysis of 17 trials (4649 infants) at low risk of bias produced the following results, suggesting little or no effect of probiotics on all‐cause mortality (Analysis 4.2).

4.2. Analysis.

4.2

Comparison 4: Sensitivity analyses: trials at low risk of bias, Outcome 2: All‐cause mortality

  • RR 0.86, 95% CI 0.69 to 1.07; I² = 0%

  • RD −0.01, 95% CI −0.02 to 0.00

Late‐onset invasive infection

Sensitivity meta‐analysis of 17 trials (4649 infants) at low risk of bias produced the following results, suggesting little or no effect of probiotics on late‐onset invasive infection (Analysis 4.3).

4.3. Analysis.

4.3

Comparison 4: Sensitivity analyses: trials at low risk of bias, Outcome 3: Late‐onset invasive infection

  • RR 0.89, 95% CI 0.78 to 1.01; I² = 0%

  • RD −0.02, 95% CI −0.04 to 0.00

Duration of hospitalisation from birth

Sensitivity meta‐analysis of seven trials (2838 infants) at low risk of bias suggested little or no effect of probiotics on duration of hospitalisation from birth (MD −2.45 days, 95% CI −5.45 to 0.56; I² = 44%; Analysis 4.4).

4.4. Analysis.

4.4

Comparison 4: Sensitivity analyses: trials at low risk of bias, Outcome 4: Duration of hospitalisation from birth (days)

Neurodevelopmental impairment

Sensitivity meta‐analysis of two trials (913 infants) at low risk of bias produced the following results, suggesting little or no effect of probiotics on neurodevelopmental impairment (Analysis 4.5).

4.5. Analysis.

4.5

Comparison 4: Sensitivity analyses: trials at low risk of bias, Outcome 5: Neurodevelopmental impairment

  • RR 0.99, 95% CI 0.76 to 1.27; I² = 0%

  • RD 0.00, 95% CI −0.05 to 0.05

Cerebral palsy

Sensitivity meta‐analysis of two trials (913 infants) at low risk of bias produced the following results, suggesting little or no effect of probiotics on cerebral palsy (Analysis 4.6).

4.6. Analysis.

4.6

Comparison 4: Sensitivity analyses: trials at low risk of bias, Outcome 6: Cerebral palsy

  • RR 1.14, 95% CI 0.68 to 1.92; I² = 0%

  • RD 0.01, 95% CI −0.02 to 0.04

Visual impairment

Sensitivity meta‐analysis of two trials (913 infants) at low risk of bias produced the following results, suggesting little or no effect of probiotics on visual impairment (Analysis 4.7).

4.7. Analysis.

4.7

Comparison 4: Sensitivity analyses: trials at low risk of bias, Outcome 7: Visual impairment

  • RR 2.91, 95% CI 0.12 to 71.21; I² not applicable

  • RD 0.00, 95% CI −0.01 to 0.01

Hearing impairment

Sensitivity meta‐analysis of two trials (913 infants) at low risk of bias produced the following results, suggesting little or no effect of probiotics on hearing impairment (Analysis 4.8).

4.8. Analysis.

4.8

Comparison 4: Sensitivity analyses: trials at low risk of bias, Outcome 8: Hearing impairment

  • RR 0.30, 95% CI 0.09 to 0.98; I² = 60%

  • RD −0.02, 95% CI −0.03 to −0.00

Discussion

Summary of main results

Meta‐analysis of data from more than 50 trials, with more than 10,000 participants in total, showed that enteral supplementation with probiotics may reduce the risk of NEC. Probiotics probably reduce mortality, though sensitivity meta‐analysis of trials at low risk of bias did not show a clear effect. Probiotics probably have little or no effect on late‐onset invasive infection. No trials reported instances of invasive infection caused by the probiotic organisms being tested. Meta‐analysis of data from five trials suggested that probiotics may have little or no effect on neurodevelopmental impairment. According to GRADE assessment, the certainty of the evidence in this review is low to moderate.

Overall completeness and applicability of evidence

Most of the trials were undertaken after the year 2000 in healthcare facilities worldwide, though predominantly in Europe and Asia. The findings should be applicable to current care practices for very preterm or VLBW infants, including infants who are small for gestation at birth (only four trials excluded such infants, and none defined evidence of abnormal end‐diastolic flow velocities in foetal Doppler studies as an exclusion criterion). The average event rate for NEC in the control group was 6%, consistent with estimates from prevalence studies in very preterm of VLBW infants in high‐income countries (Battersby 2018). We prespecified a comparison including only data for extremely preterm or ELBW infants. Three trials restricted participation to this population, and a further six trials reported subgroup data. Meta‐analyses suggested little or no effect of probiotics on NEC, all‐cause mortality, late‐onset invasive infection, or duration of hospitalisation from birth. However, these estimates are imprecise, and the CIs around the point estimates do not rule out important benefits or harms in this subpopulation, consistent with the effects seen in the meta‐analyses including the entire very preterm or VLBW population.

The review findings are likely to be broadly applicable to infants fed enterally with human milk, formula, or both. Formula feeding increases risk of NEC, and the risk‐benefit balance of probiotic supplementation could differ between human milk‐ and formula‐fed very preterm or VLBW infants (Quigley M 2019). Prespecified subgroup analyses showed no difference in effects on the primary outcomes between trials that included only human milk‐fed infants versus trials that included infants fed with formula, either alone or with human milk. However, the reported data in trials that permitted human milk or formula feeding were insufficient to analyse subgroup effects at an infant level by type of enteral feeds received.

The main challenge in applying the findings of this review is the heterogeneity of the interventions tested. Data from the only two large (more than 1000 infants) high‐quality trials illustrate this concern (Costeloe 2015; Jacobs 2013). The largest trial of probiotic supplementation (n = 1310) showed that a single‐strain preparation of B. breve is probably ineffective in reducing NEC (Costeloe 2015). Conversely, the combination of B. infantis, S. thermophilus, and B. lactis used in the other large trial (n = 1099) is probably effective in reducing the risk of NEC, though not mortality or infection (Jacobs 2013). However, prespecified subgroup analyses showed no evidence of differences in effect sizes depending on the genus of the probiotics used, broadly consistent with recent network analyses of different probiotic combinations (Bi 2019; Morgan 2020; van den Akker 2018). These findings should be interpreted with cation, as indirect comparisons are not randomised. Differences in effect between trials or groups of trials could be due to many factors, including methodological quality, types of participants, setting, and other practices and policies such as feeding protocols and antibiotic stewardship. Effect estimates may be confounded by species and strain level differences that affect how probiotic organisms interact with each other and endogenous microorganisms in the intestine of immature infants (Millar 2012). Consequently, the optimal probiotic composition or combination is unlikely to be determined reliably by analyses of the existing trial data.

Quality of the evidence

The certainty of evidence assessed with the GRADE approach was low or moderate for the prespecified outcomes (Table 1; Table 2). About half of the trials had methodological weaknesses, including in methods used to conceal random allocation and to mask clinicians, parents, and caregivers to the intervention (Figure 2). Knowledge of the intervention group could have affected caregivers' or assessors' subjective perceptions of outcomes; for example, it may have influenced decisions on whether to investigate or diagnose NEC or invasive infection.

Most of the included trials were small (median n = 149). The asymmetry evident in the funnel plot for the meta‐analysis of the effect on NEC was consistent with small‐study bias (Figure 4). One explanation is publication bias, which is the tendency for articles that report statistically significant effects to be submitted and accepted for publication (Gale 2020). Publication bias, as well as other sources of small‐study bias, has become increasingly evident as an important contributor to exaggerated effect size estimates in meta‐analyses of interventions to improve outcomes in very preterm or VLBW infants (Ohlsson 2020; Pammi 2020). Another concern is that in many of the trials that assessed the effect of probiotics on clinical outcomes, it was unclear how investigators had defined the sample size, and whether trial 'stopping rules' existed. If trial investigators were able to monitor accumulating outcome data until an effect on an outcome was detected, this may have resulted in a tendency to detect spurious effects that inflate the pooled estimate of effect sizes.

Attrition bias due to loss of outcome data from randomised participants was not a concern for the in‐hospital outcomes (NEC, death, infection) assessed in this review. However, completeness of long‐term neurodevelopmental outcome data ranged from 48% to 90% across the trials that reported such assessments. The degree of incomplete follow‐up assessment was balanced across the intervention and control groups in each trial. Although this is reassuring with regard to the impact of attrition bias on effect estimates, some concern remains that the assessed population may not be representative of the entire cohort (Tin 1998). For this reason, the evidence suggesting that probiotics have little or no effect on neurodevelopmental outcomes is of low certainty.

Potential biases in the review process

The main concern with meta‐analysis of the effect on NEC is the possibility that the findings are subject to small‐study biases, including publication bias. Trials that reported statistically significant or potentially important effects may have contributed more data to the meta‐analysis than other trials (Hopewell 2009). We attempted to minimise this threat by searching the proceedings of major international perinatal conferences to identify trial reports that were not published in full form in journals. However, it is possible that some trials were undertaken but not reported; such trials are less likely than published trials to have detected statistically significant or clinically important effects.

We contacted trial authors for unpublished data (Young 2011). In several cases, authors of 'proof of concept' or exploratory trials that aimed primarily to assess whether probiotic administration affected intestinal (stool) colonisation patterns or permeability or immune function were able to provide unpublished clinical outcome data for inclusion in meta‐analyses.

We identified no potential risk of bias due to the funding sources of the included trials (where reported). In related contexts, such as manufacturers of breast milk substitutes funding infant feeding trials, this conflict is important to note (Cleminson 2015), but we did not consider it a substantial risk of bias in the case of this review. Manufacturers of probiotic products supported some of the trials by supplying the intervention at no or low cost (noted in the Characteristics of included studies table), but we considered they were unlikely to have a conflict of interest in the trial outcome for this relatively niche indication.

Agreements and disagreements with other studies or reviews

Our findings are broadly consistent with other systematic reviews of probiotics for preterm infants (summarised in Jarrett 2019). Our review differs from others in the following key respects.

  • We restricted the population of interest to very preterm and VLBW infants to enhance applicability to those infants at high risk of developing NEC and associated complications.

  • We included trials that assessed probiotics only and excluded trials that assessed prebiotics or synbiotics.

  • We conducted genus‐level subgroup analyses to explore differences in effect sizes depending on the probiotic or combination of probiotics assessed.

  • We included formal statistical evaluation to assess the risk of small‐study bias for the major outcomes.

  • We prespecified sensitivity analyses to determine how trial methodological quality affected effect sizes.

  • We included a formal GRADE assessment of the certainty of the evidence at outcomes level to help inform policy, practice, and research (Gephart 2020).

Authors' conclusions

Implications for practice.

Despite the quantity of trial data, we found low‐ to moderate‐certainty evidence on the effects of probiotic supplements on the risk of necrosing enterocolitis (NEC) and associated morbidity and mortality in very preterm or very low birth weight (VLBW) infants. The evidence for all assessed outcomes in extremely preterm or extremely low birth weight (ELBW) infants was of low certainty.

As well as concerns that effect size estimates are inflated by biases in the existing trials (including publication bias), a major barrier to implementing the findings is that existing analyses cannot determine the optimal constitution of probiotics (strains, doses, timing of introduction, duration of use) for routine prophylactic use (Fleming 2022). A variety of commercially available probiotic preparations are in use in a minority of neonatal units internationally, but widespread use appears to be limited by availability and by regulatory and licencing issues. Although the data from the included trials are reassuring with regard to safety, there have been reports of probiotic bacteraemia or fungaemia and other adverse effects in preterm infants (Bertelli 2015; Esaiassen 2016; Jenke 2012; Zbinden 2015). It remains unclear whether different strains or combinations have different safety profiles.

Implications for research.

Given the uncertainty about whether (and which) probiotics affect important outcomes in very preterm or VLBW infants, further large, high‐quality trials are needed to provide evidence of sufficient validity and applicability to inform policy and practice. Before starting such a trial, it is essential for investigators to determine whether families and clinicians would support it.

Any planned trials should attempt to ensure that caregivers and assessors are masked to the intervention, as investigation and diagnosis of important outcomes such as NEC, invasive infection, and neurodevelopmental impairment can be subjective. While it may be appropriate to be broadly inclusive of very preterm and VLBW infants, trials should ensure sufficient power to assess effects in extremely preterm or ELBW infants, and to explore interactions with the type of enteral feed given the potential of human milk components to moderate any probiotic effects.

A key concern in planning any trial is choosing the appropriate intervention to assess. Two options appear favourable. First, a confirmatory trial of the probiotic combination Bifidobacterium infantis, Streptococcus thermophilus and Bifidobacterium lactis, already shown to be likely to reduce the risk of NEC in one high‐quality trial in Australasia (Jacobs 2013). Alternatively, investigators may consider a pragmatic choice based on multistrain products in established use in their regions; this would provide some availability and quality control reassurances with regard to product integrity and safety. Furthermore, investigators could consider whether trials using synbiotics (combinations of probiotics with prebiotics such as human milk oligosaccharides and other milk glycans) are merited alongside trials of probiotics, or as part of an adaptive design (Underwood 2019).

Although individual infant randomisation is preferred for statistical and analytical reasons, it is possible that cross‐contamination of the trial organisms to infants in the control group will limit the power of the trial to detect an effect (as may have happened in Costeloe 2015). Randomising at the neonatal care centre level (cluster‐randomised controlled trial) obviates this problem but inflates the sample size requirement considerably because of intracluster correlation of outcomes.

What's new

Date Event Description
18 July 2023 New citation required but conclusions have not changed Probiotics may reduce the risk of necrotising enterocolitis, but the certainty of the evidence is low.
18 July 2023 New search has been performed We searched the literature in July 2022. We included four new trials (Alshaikh 2022; Matin 2022; Moreno‐Sanz 2022; Sowden 2022).

History

Protocol first published: Issue 4, 2005
Review first published: Issue 1, 2008

Date Event Description
4 October 2020 New citation required and conclusions have changed Probiotics may reduce the risk of necrotising enterocolitis, but the certainty of the evidence is "low".
4 October 2020 New search has been performed Inclusion criteria modified to include only very preterm (< 32 weeks' gestation) or very low birth weight infants (< 1500 g) with pre‐specified analyses for extremely preterm (< 28 weeks' gestation) or extremely low birth weight (< 1000 g) infants.
The literature was searched in February 2020. Thirty‐two new published trials were identified.
1 October 2013 New search has been performed This updates Al Faleh 2011
1 October 2013 New citation required but conclusions have not changed Updated search identified eight new trials for inclusion in this review update.
3 November 2010 New search has been performed This updates the review "Probiotics for prevention of necrotizing enterocolitis in preterm infants" published in the Cochrane Database of Systematic Reviews (Al Faleh 2008).
New authorship: Khalid AlFaleh, Jasim Anabrees, Dirk Bassler, Turki Al‐Kharfi.
Updated search identified seven new trials for inclusion in this review update.
3 November 2010 New citation required and conclusions have changed With the addition of seven new trials to this update, it brings the total to sixteen eligible trials randomizing 2842 infants. The previous review included nine eligible trials, randomizing 1425 infants.
12 November 2008 Feedback has been incorporated Feedback incorporated
22 July 2008 Amended Converted to new review format.

Acknowledgements

We thank Melissa Harden and Helen Fulbright (Information Specialists, Centre for Reviews and Dissemination, University of York, UK) for the search strategies and database management.

We thank all primary investigators who provided additional information about trial methods and outcomes.

We thank Yuan Chi for translating two trial reports (Huang 2009; Ren 2010).

We thank Jane Cracknell and Michelle Fiander (Managing Editors) and Roger Soll (Co‐ordinating Editor) at Cochrane Neonatal for providing editorial and administrative support.

We thank Jacquelyn EM Grev, MD, Sanford Health for peer review of this manuscript.

We also thank Julia Turner, Cochrane Central Production Service, for copy edit support.

Appendices

Appendix 1. Electronic search methodology

Search date: 5 July 2022

Cochrane Register of Controlled Trials (CENTRAL)

#1 [mh Probiotics]

#2 (probiotic*):ti,ab,kw

#3 [mh Bifidobacterium]

#4 (bifidobacterium*):ti,ab,kw

#5 [mh Lactobacillus]

#6 (lactobacill*):ti,ab,kw

#7 ([mh ^Saccharomyces] or [mh ^"Saccharomyces boulardii"] or [mh ^"Saccharomyces cerevisiae"])

#8 [mh ^"Saccharomyces boulardii"]

#9 (Saccharomyces):ti,ab,kw

#10 #1 OR #2 OR #3 OR #4 OR #5 OR #6 OR #7 OR #8 OR #9

#11 [mh Prebiotics]

#12 (prebiotic*):ti,ab,kw

#13 [mh Oligosaccharides]

#14 (oligosaccharide*):ti,ab,kw

#15 [mh Inulin]

#16 (inulin*):ti,ab,kw

#17 ((fructooligosaccharide* or fructo NEXT oligosaccharide* or FOS or FOSs or galacto NEXT oligosaccharide* or galactooligosaccharide*)):ti,ab,kw

#18 [mh Lactoferrin]

#19 (lactoferrin*):ti,ab,kw

#20 [mh Lactulose] 439

#21 (lactulose*):ti,ab,kw

#22 #11 OR #12 OR #13 OR #14 OR #15 OR #16 OR #17 OR #18 OR #19 or #20 or #21

#23 [mh Synbiotics]

#24 (synbiotic*):ti,ab,kw

#25 (((probiotic* and prebiotic*) NEAR/4 combin*)):ti,ab,kw

#26 #23 OR #24 OR #25

#27 #10 OR #22 OR #26

#28 [mh "Infant, Newborn"]

#29 [mh "Premature Birth"]

#30 neonat*:ti,ab,kw

#31 neo NEXT nat*:ti,ab,kw

#32 newborn or new NEXT born* or newly NEXT born*:ti,ab,kw

#33 preterm or preterms or pre NEXT term or pre NEXT terms:ti,ab,kw

#34 preemie* or premie or premies:ti,ab,kw

#35 prematur* NEAR/3 (birth* or born or deliver*):ti,ab,kw

#36 low NEAR/3 (birthweight* or birth NEXT weight*):ti,ab,kw

#37 lbw or vlbw or elbw:ti,ab,kw

#38 infan* or baby or babies:ti,ab,kw

#39 #28 or #29 or #30 or #31 or #32 or #33 or #34 or #35 or #36 or #37 or #38

#40 #27 AND #39 in Trials

CINAHL via EBSCO

S35 S31 AND S34

S34 S32 OR S33

S33 TX ( (neonat* or neo nat*) ) OR TX ( (newborn* or new born* or newly born*) ) OR TX ( (preterm or preterms or pre term or pre terms) ) OR TX ( (preemie$ or premie or premies) ) OR TX ( (prematur* N3 (birth* or born or deliver*)) ) OR TX ( (low N3 (birthweight* or birth weight*)) ) OR TX ( (lbw or vlbw or elbw) ) OR TX infan* OR TX ( (baby or babies) )

S32 (MH "Infant, Newborn+")

S31 S22 AND S30

S30 S28 not S29

S29 ( MH animals+ OR MH (animal studies) OR TI (animal model*) ) NOT MH (human) 194,413

S28 S23 OR S24 OR S25 OR S26 OR S27

S27 AB (cluster W3 RCT)

S26 MH placebos OR PT randomized controlled trial OR AB control W5 group OR MH crossover design OR MH comparative studies

S25 MH sample size AND AB ( (assigned OR allocated OR control) )

S24 TI ( (randomised OR randomized) ) OR AB random* OR TI trial

S23 MH Randomized Controlled Trials OR MH double‐blind studies OR MH single‐blind studies OR MH random assignment OR MH pretest‐posttest design OR MH cluster sample

S22 S9 OR S18 OR S21

S21 S19 OR S20

S20 TI ( (probiotic* and prebiotic*) N4 combin* ) OR AB ( (probiotic* and prebiotic*) N4 combin* )

S19 TI Synbiotic* OR AB Synbiotic*

S18 S10 OR S11 OR S12 OR S13 OR S14 OR S15 OR S16 OR S17

S17 TI Lactoferrin OR AB Lactoferrin

S16 TI fructooligosaccharide* OR AB fructooligosaccharide* OR TI fructo‐oligosaccharide* OR AB fructo‐oligosaccharide* OR TI galactooligosaccharide* OR AB galactooligosaccharide* OR TI galacto‐oligosaccharide* OR AB galacto‐oligosaccharide*

S15 TI Inulin OR AB Inulin

S14 TI lactulose* OR AB lactulose*

S13 TI Oligosaccharides OR AB Oligosaccharides

S12 MH "Oligosaccharides"

S11 TI Prebiotic* OR AB Prebiotic*

S10 MH "Prebiotics"

S9 S1 OR S2 OR S3 OR S4 OR S5 OR S6 OR S7 OR S8

S8 TI Saccharomyces OR AB Saccharomyces

S7 MH "Saccharomyces"

S6 TI lactobacillus OR AB lactobacillus

S5 (MH "Lactobacillus") OR (MH "Lactobacillus Acidophilus")

S4 TI bifidobacterium* OR AB bifidobacterium*

S3 MH "Bifidobacterium"

S2 TI probiotic* OR AB probiotic*

S1 MH "Probiotics"

Embase via Ovid <1974 to 2022 July 1>

1 Probiotic Agent/

2 probiotic$.ti,ab,kw.

3 exp bifidobacterium/

4 bifidobacterium$.ti,ab,kw.

5 exp lactobacillus/

6 lactobacill$.ti,ab,kw.

7 Saccharomyces/ or Saccharomyces boulardii/ or Saccharomyces cerevisiae/

8 Saccharomyces$.ti,ab,kw.

9 or/1‐8

10 Prebiotic Agent/

11 prebiotic$.ti,ab,kw.

12 exp Oligosaccharide/

13 oligosaccharide$.ti,ab,kw.

14 Galactose oligosaccharide/

15 (galacto‐oligosaccharide$ or galactooligosaccharide$).ti,ab,kw.

16 Fructose Oligosaccharide/

17 (fructooligosaccharide$ or fructo‐oligosaccharide$ or FOS or FOSs).ti,ab,kw.

18 Lactulose/

19 lactulose$.ti,ab,kw.

20 Inulin/

21 inulin$.ti,ab,kw.

22 Lactoferrin/

23 lactoferrin$.ti,ab,kw.

24 or/10‐23

25 Synbiotic Agent/

26 synbiotic$.ti,ab,kw.

27 ((probiotic$ and prebiotic$) adj4 combin$).ti,ab,kw.

28 25 or 26 or 27

29 9 or 24 or 28

30 Newborn/

31 Prematurity/

32 (neonat$ or neo nat$).ti,ab.

33 (newborn$ or new born$ or newly born$).ti,ab.

34 (preterm or preterms or pre term or pre terms).ti,ab.

35 (preemie$ or premie or premies).ti,ab.

36 (prematur$ adj3 (birth$ or born or deliver$)).ti,ab.

37 (low adj3 (birthweight$ or birth weight$)).ti,ab.

38 (lbw or vlbw or elbw).ti,ab.

39 infan$.ti,ab.

40 (baby or babies).ti,ab.

41 or/30‐40

42 Randomized controlled trial/

43 Controlled clinical study/

44 Random$.ti,ab.

45 randomization/

46 intermethod comparison/

47 placebo.ti,ab.

48 (compare or compared or comparison).ti.

49 ((evaluated or evaluate or evaluating or assessed or assess) and (compare or compared or comparing or comparison)).ab.

50 (open adj label).ti,ab.

51 ((double or single or doubly or singly) adj (blind or blinded or blindly)).ti,ab.

52 double blind procedure/

53 parallel group$1.ti,ab.

54 (crossover or cross over).ti,ab.

55 ((assign$ or match or matched or allocation) adj5 (alternate or group$1 or intervention$1 or patient$1 or subject$1 or participant$1)).ti,ab.

56 (assigned or allocated).ti,ab.

57 (controlled adj7 (study or design or trial)).ti,ab.

58 (volunteer or volunteers).ti,ab.

59 human experiment/

60 trial.ti.

61 or/42‐60

62 (random$ adj sampl$ adj7 ("cross section$" or questionnaire$1 or survey$ or database$1)).ti,ab. not (comparative study/ or controlled study/ or randomi?ed controlled.ti,ab. or randomly assigned.ti,ab.)

63 Cross‐sectional study/ not (randomized controlled trial/ or controlled clinical study/ or controlled study/ or randomi?ed controlled.ti,ab. or control group$1.ti,ab.)

64 (((case adj control$) and random$) not randomi?ed controlled).ti,ab.

65 (Systematic review not (trial or study)).ti.

66 (nonrandom$ not random$).ti,ab.

67 "Random field$".ti,ab.

68 (random cluster adj3 sampl$).ti,ab.

69 (review.ab. and review.pt.) not trial.ti.

70 "we searched".ab. and (review.ti. or review.pt.)

71 "update review".ab.

72 (databases adj4 searched).ab.

73 (rat or rats or mouse or mice or swine or porcine or murine or sheep or lambs or pigs or piglets or rabbit or rabbits or cat or cats or dog or dogs or cattle or bovine or monkey or monkeys or trout or marmoset$1).ti. and animal experiment/

74 Animal experiment/ not (human experiment/ or human/)

75 or/62‐74

76 61 not 75

77 29 and 41 and 76

Maternity & Infant Care Database (MIDIRS) via OVID <1971 to June 14, 2022>

1 probiotic$.ti,ab,de.

2 bifidobacterium$.ti,ab,de.

3 lactobacill$.ti,ab,de.

4 Saccharomyces$.ti,ab,de.

5 or/1‐4

6 prebiotic$.ti,ab,de.

7 oligosaccharide$.ti,ab,de.

8 inulin$.ti,ab,de.

9 (fructooligosaccharide$ or fructo‐oligosaccharide$ or FOS or FOSs).ti,ab,de.

10 (galactooligosaccharide$ or galacto‐oligosaccharide$).ti,ab,de.

11 lactoferrin$.ti,ab,de.

12 lactulose$.ti,ab,de.

13 or/6‐12

14 synbiotic$.ti,ab,de.

15 ((probiotic$ and prebiotic$) adj4 combin$).ti,ab,de.

16 14 or 15

17 5 or 13 or 16

18 (neonat$ or neo nat$).ti,ab.

19 (newborn$ or new born$ or newly born$).ti,ab.

20 (preterm or preterms or pre term or pre terms).ti,ab.

21 (preemie$ or premie or premies).ti,ab.

22 (prematur$ adj3 (birth$ or born or deliver$)).ti,ab.

23 (low adj3 (birthweight$ or birth weight$)).ti,ab.

24 (lbw or vlbw or elbw).ti,ab.

25 infan$.ti,ab.

26 (baby or babies).ti,ab.

27 or/18‐26

28 17 and 27

29 limit 28 to randomised controlled trial

Ovid MEDLINE(R) ALL <1946 to July 1, 2022>

1 Probiotics/

2 probiotic$.ti,ab,kw.

3 exp bifidobacterium/

4 bifidobacterium$.ti,ab,kw.

5 exp lactobacillus/

6 lactobacill$.ti,ab,kw.

7 Saccharomyces/ or Saccharomyces boulardii/ or Saccharomyces cerevisiae/

8 Saccharomyces$.ti,ab,kw.

9 or/1‐8

10 Prebiotics/

11 prebiotic$.ti,ab,kw.

12 Oligosaccharides/

13 oligosaccharide$.ti,ab,kw.

14 (galactooligosaccharides or galacto‐oligosaccharides).ti,ab,kw.

15 (fructooligosaccharide$ or fructo‐oligosaccharide$ or FOS or FOSs).ti,ab,kw.

16 Lactulose/

17 lactulose$.ti,ab,kw.

18 Inulin/

19 inulin$.ti,ab,kw.

20 Lactoferrin/

21 lactoferrin$.ti,ab,kw.

22 or/10‐21

23 Synbiotics/

24 synbiotic$.ti,ab,kw.

25 ((probiotic$ and prebiotic$) adj4 combin$).ti,ab,kw. (374)

26 or/23‐25

27 9 or 22 or 26

28 exp Infant, Newborn/

29 Premature Birth/

30 (neonat$ or neo nat$).ti,ab.

31 (newborn$ or new born$ or newly born$).ti,ab.

32 (preterm or preterms or pre term or pre terms).ti,ab.

33 (preemie$ or premie or premies).ti,ab.

34 (prematur$ adj3 (birth$ or born or deliver$)).ti,ab.

35 (low adj3 (birthweight$ or birth weight$)).ti,ab.

36 (lbw or vlbw or elbw).ti,ab.

37 infan$.ti,ab.

38 (baby or babies).ti,ab.

39 or/28‐38

40 randomized controlled trial.pt.

41 controlled clinical trial.pt.

42 randomized.ab.

43 placebo.ab.

44 drug therapy.fs.

45 randomly.ab.

46 trial.ab.

47 groups.ab.

48 or/40‐47

49 exp animals/ not humans.sh.

50 48 not 49

51 27 and 39 and 50

‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐

Trials registers

Search date: 5th July 2022

WHO ICTRP via https://trialsearch.who.int/

Search 1 of 2: 
Condition: (infant* OR baby OR babies OR premature or neonate* OR new born OR preterm OR
low birth weight OR low birthweight OR LBW OR VLBW or ELBW) AND Intervention: (probiotic*
OR bifidobacterium OR lactobacillus OR saccharomyces OR prebiotic* OR oligosaccharide* OR
galactooligosaccharide* OR galacto‐oligosaccharide*)
Recruitment Status: ALL

Search 2 of 2: 
Condition: (infant* OR baby OR babies OR premature or neonate* OR new born OR preterm OR
low birth weight OR low birthweight OR LBW OR VLBW or ELBW) AND Intervention:
(fructooligosaccharide* OR fructo‐oligosaccharide* OR FOS OR lactulose OR inulin OR lactoferrin
OR synbiotics)
Recruitment Status: ALL

Clinical Trials.gov via https://clinicaltrials.gov/

Search 1 of 2: 
Other terms: (infant OR baby OR premature OR neonate OR "new born" OR preterm OR "low
birth weight" OR LBW OR VLBW OR ELBW) AND (probiotics OR bifidobacterium OR lactobacillus
OR saccharomyces OR prebiotics OR oligosaccharides OR galactooligosaccharides)

Search 2 of 2: 
Other terms: (infant OR baby OR premature OR neonate OR "new born" OR preterm OR "low
birth weight" OR LBW OR VLBW OR ELBW) AND (fructooligosaccharide OR fos OR lactulose OR
inulin OR lactoferrin OR synbiotics)

Appendix 2. Risk of bias tool (RoB 1)

Sequence generation (checking for possible selection bias). Was the allocation sequence adequately generated?

For each included study, we categorised the method used to generate the allocation sequence as:

  • low risk: any truly random process (e.g. random number table, computer random number generator);

  • high risk: any non‐random process (e.g. odd or even date of birth, hospital, or clinic record number); or

  • unclear risk.

Allocation concealment (checking for possible selection bias). Was allocation adequately concealed?

For each included study, we categorised the method used to conceal the allocation sequence as:

  • low risk (e.g. telephone or central randomisation, consecutively numbered sealed envelopes);

  • high risk (open random allocation, unsealed or non‐opaque envelopes, alternation, date of birth); or

  • unclear risk.

Blinding of personnel (checking for possible performance bias). Was knowledge of the allocated intervention adequately prevented during the study?

For each included study, we categorised the methods used to blind study participants and personnel from knowledge of which intervention a participant received. Blinding was assessed separately for different outcomes or class of outcomes. We categorised the methods as:

  • low risk, high risk, or unclear risk for personnel.

Blinding of outcome assessment (checking for possible detection bias). Was knowledge of the allocated intervention adequately prevented at the time of outcome assessment?

For each included study, we categorised the methods used to blind outcome assessment. Blinding was assessed separately for different outcomes or class of outcomes. We categorised the methods as:

  • low risk for outcome assessors;

  • high risk for outcome assessors; or

  • unclear risk for outcome assessors.

Incomplete outcome data (checking for possible attrition bias through withdrawals, dropouts, protocol deviations). Were incomplete outcome data adequately addressed?

For each included study and for each outcome, we described the completeness of data including attrition and exclusions from the analysis. We noted whether attrition and exclusions were reported, the numbers included in the analysis at each stage (compared with the total randomised participants), reasons for attrition or exclusion where reported, and whether missing data were balanced across groups or were related to outcomes. Where sufficient information was reported or supplied by the trial authors, we re‐included missing data in the analyses. We categorised the methods as:

  • low risk (< 20% missing data);

  • high risk (≥ 20% missing data); or

  • unclear risk.

Selective reporting bias. Are reports of the study free of suggestion of selective outcome reporting?

For each included study, we described how we investigated the possibility of selective outcome reporting bias and what we found. For studies in which study protocols were published in advance, we compared prespecified outcomes versus outcomes eventually reported in the published results. If the study protocol was not published in advance, we contacted study authors to gain access to the study protocol. We assessed the methods as:

  • low risk (where it is clear that all the study's prespecified outcomes and all expected outcomes of interest to the review have been reported);

  • high risk (where not all the study's prespecified outcomes have been reported; one or more reported primary outcomes were not prespecified outcomes of interest and are reported incompletely and so cannot be used; study fails to include results of a key outcome that would have been expected to have been reported); or

  • unclear risk.

Data and analyses

Comparison 1. Probiotics versus placebo or no probiotics (very preterm or very low birth weight infants).

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
1.1 Necrotising enterocolitis 57 10918 Risk Ratio (M‐H, Fixed, 95% CI) 0.54 [0.46, 0.65]
1.1.1 Bifidobacterium spp. 14 2988 Risk Ratio (M‐H, Fixed, 95% CI) 0.72 [0.54, 0.96]
1.1.2 Lactobacillus spp. 13 2052 Risk Ratio (M‐H, Fixed, 95% CI) 0.45 [0.28, 0.71]
1.1.3 Sacchromyces spp. 4 621 Risk Ratio (M‐H, Fixed, 95% CI) 0.82 [0.44, 1.50]
1.1.4 Bacillus spp. 2 465 Risk Ratio (M‐H, Fixed, 95% CI) 0.61 [0.23, 1.61]
1.1.5 Bifidobacterium spp. plus Lactobacillus spp. 13 2303 Risk Ratio (M‐H, Fixed, 95% CI) 0.39 [0.25, 0.62]
1.1.6 Bifidobacterium spp. plus Streptococcus spp. 2 1244 Risk Ratio (M‐H, Fixed, 95% CI) 0.36 [0.19, 0.68]
1.1.7 Bifidobacterium spp. plus Lactobacillus spp. plus Sacchromyces spp. 4 583 Risk Ratio (M‐H, Fixed, 95% CI) 0.67 [0.28, 1.58]
1.1.8 Bifidobacterium spp. plus Lactobacillus spp. plus Streptococcus spp. 5 662 Risk Ratio (M‐H, Fixed, 95% CI) 0.42 [0.22, 0.77]
1.2 All‐cause mortality 54 10484 Risk Ratio (M‐H, Fixed, 95% CI) 0.77 [0.66, 0.90]
1.2.1 Bifidobacterium spp. 12 2761 Risk Ratio (M‐H, Fixed, 95% CI) 0.79 [0.58, 1.09]
1.2.2 Lactobacillus spp. 13 2052 Risk Ratio (M‐H, Fixed, 95% CI) 0.91 [0.60, 1.37]
1.2.3 Sacchromyces spp. 3 534 Risk Ratio (M‐H, Fixed, 95% CI) 1.12 [0.46, 2.70]
1.2.4 Bacillus spp. 2 465 Risk Ratio (M‐H, Fixed, 95% CI) 0.87 [0.45, 1.69]
1.2.5 Bifidobacterium spp. plus Lactobacillus spp. 14 2333 Risk Ratio (M‐H, Fixed, 95% CI) 0.64 [0.48, 0.85]
1.2.6 Bifidobacterium spp. plus Streptococcus spp. 2 1244 Risk Ratio (M‐H, Fixed, 95% CI) 0.84 [0.52, 1.35]
1.2.7 Bifidobacterium spp. plus Lactobacillus spp. plus Sacchromyces spp. 4 583 Risk Ratio (M‐H, Fixed, 95% CI) 0.67 [0.30, 1.49]
1.2.8 Bifidobacterium spp. plus Lactobacillus spp. plus Streptococcus spp. 4 512 Risk Ratio (M‐H, Fixed, 95% CI) 0.74 [0.39, 1.42]
1.3 Late‐onset invasive infection 49 9876 Risk Ratio (M‐H, Fixed, 95% CI) 0.89 [0.82, 0.97]
1.3.1 Bifidobacterium spp. 12 2736 Risk Ratio (M‐H, Fixed, 95% CI) 0.84 [0.70, 1.02]
1.3.2 Lactobacillus spp. 12 2022 Risk Ratio (M‐H, Fixed, 95% CI) 0.93 [0.74, 1.17]
1.3.3 Sacchromyces spp. 4 621 Risk Ratio (M‐H, Fixed, 95% CI) 0.84 [0.58, 1.22]
1.3.4 Bacillus spp. 2 465 Risk Ratio (M‐H, Fixed, 95% CI) 1.00 [0.67, 1.51]
1.3.5 Bifidobacterium spp. plus Lactobacillus spp. 11 1975 Risk Ratio (M‐H, Fixed, 95% CI) 0.94 [0.81, 1.11]
1.3.6 Bifidobacterium spp. plus Streptococcus spp. 2 1244 Risk Ratio (M‐H, Fixed, 95% CI) 0.92 [0.72, 1.17]
1.3.7 Bifidobacterium spp. plus Lactobacillus spp. plus Sacchromyces spp. 4 583 Risk Ratio (M‐H, Fixed, 95% CI) 0.79 [0.53, 1.18]
1.3.8 Bifidobacterium spp. plus Lactobacillus spp. plus Streptococcus spp. 2 230 Risk Ratio (M‐H, Fixed, 95% CI) 0.79 [0.63, 1.00]
1.4 Duration of hospitalisation from birth (days) 24 5572 Mean Difference (IV, Fixed, 95% CI) ‐1.68 [‐3.08, ‐0.28]
1.4.1 Bifidobacterium spp. 4 1945 Mean Difference (IV, Fixed, 95% CI) 0.51 [‐2.98, 4.01]
1.4.2 Lactobacillus spp. 5 269 Mean Difference (IV, Fixed, 95% CI) ‐3.65 [‐7.76, 0.45]
1.4.3 Sacchromyces spp. 2 470 Mean Difference (IV, Fixed, 95% CI) ‐2.88 [‐8.06, 2.29]
1.4.4 Bifidobacterium spp. plus Lactobacillus spp. 8 1327 Mean Difference (IV, Fixed, 95% CI) ‐0.90 [‐3.28, 1.47]
1.4.5 Bifidobacterium spp. plus Streptococcus spp. 1 1044 Mean Difference (IV, Fixed, 95% CI) ‐3.00 [‐6.28, 0.28]
1.4.6 Bifidobacterium spp. plus Lactobacillus spp. plus Sacchromyces spp. 2 231 Mean Difference (IV, Fixed, 95% CI) ‐5.65 [‐11.68, 0.38]
1.4.7 Bifidobacterium spp. plus Lactobacillus spp. plus Streptococcus spp. 2 286 Mean Difference (IV, Fixed, 95% CI) 0.65 [‐4.86, 6.16]
1.5 Neurodevelopmental impairment 5 1518 Risk Ratio (M‐H, Fixed, 95% CI) 1.03 [0.84, 1.26]
1.5.1 Bifidobacterium spp. 1 162 Risk Ratio (M‐H, Fixed, 95% CI) 0.77 [0.34, 1.72]
1.5.2 Lactobacillus spp. 1 249 Risk Ratio (M‐H, Fixed, 95% CI) 1.01 [0.69, 1.48]
1.5.3 Bacillus spp. 1 174 Risk Ratio (M‐H, Fixed, 95% CI) 1.09 [0.58, 2.07]
1.5.4 Bifidobacterium spp. plus Streptococcus spp. 1 664 Risk Ratio (M‐H, Fixed, 95% CI) 0.97 [0.69, 1.36]
1.5.5 Bifidobacterium spp. plus Lactobacillus spp. 1 269 Risk Ratio (M‐H, Fixed, 95% CI) 1.27 [0.81, 1.98]
1.6 Cerebral palsy 5 1512 Risk Ratio (M‐H, Fixed, 95% CI) 1.13 [0.74, 1.72]
1.6.1 Bifidobacterium spp. 1 156 Risk Ratio (M‐H, Fixed, 95% CI) 0.38 [0.10, 1.36]
1.6.2 Lactobacillus spp. 1 249 Risk Ratio (M‐H, Fixed, 95% CI) 0.92 [0.40, 2.08]
1.6.3 Bacillus spp. 1 174 Risk Ratio (M‐H, Fixed, 95% CI) 2.05 [0.38, 10.88]
1.6.4 Bifidobacterium spp. plus Streptococcus spp. 1 664 Risk Ratio (M‐H, Fixed, 95% CI) 1.32 [0.67, 2.58]
1.6.5 Bifidobacterium spp. plus Lactobacillus spp. 1 269 Risk Ratio (M‐H, Fixed, 95% CI) 2.28 [0.62, 8.41]
1.7 Visual impairment 4 1356 Risk Ratio (M‐H, Fixed, 95% CI) 0.50 [0.14, 1.80]
1.7.1 Bifidobacterium spp. 1 174 Risk Ratio (M‐H, Fixed, 95% CI) 0.51 [0.05, 5.54]
1.7.2 Lactobacillus spp. 1 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
1.7.3 Bifidobacterium spp. plus Streptococcus spp. 1 664 Risk Ratio (M‐H, Fixed, 95% CI) 2.91 [0.12, 71.21]
1.7.4 Bifidobacterium spp. plus Lactobacillus spp. 1 269 Risk Ratio (M‐H, Fixed, 95% CI) 0.21 [0.02, 1.89]
1.8 Hearing impairment 4 1356 Risk Ratio (M‐H, Fixed, 95% CI) 0.46 [0.18, 1.17]
1.8.1 Bifidobacterium spp. 1 174 Risk Ratio (M‐H, Fixed, 95% CI) 1.02 [0.07, 16.10]
1.8.2 Lactobacillus spp. 1 249 Risk Ratio (M‐H, Fixed, 95% CI) 3.02 [0.12, 73.52]
1.8.3 Bifidobacterium spp. plus Streptococcus spp. 1 664 Risk Ratio (M‐H, Fixed, 95% CI) 0.18 [0.04, 0.79]
1.8.4 Bifidobacterium spp. plus Lactobacillus spp. 1 269 Risk Ratio (M‐H, Fixed, 95% CI) 1.71 [0.16, 18.64]
1.9 Cognitive performance 1 52 Mean Difference (IV, Fixed, 95% CI) ‐1.00 [‐6.38, 4.38]

Comparison 2. Probiotics versus placebo or no probiotics (extremely preterm or extremely low birth weight infants).

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
2.1 Necrotising enterocolitis 10 1836 Risk Ratio (M‐H, Fixed, 95% CI) 0.92 [0.69, 1.22]
2.1.1 Bifidobacterium spp. 2 665 Risk Ratio (M‐H, Fixed, 95% CI) 1.00 [0.70, 1.43]
2.1.2 Lactobacillus spp. 2 330 Risk Ratio (M‐H, Fixed, 95% CI) 0.73 [0.36, 1.48]
2.1.3 Bacillus spp. 1 0 Risk Ratio (M‐H, Fixed, 95% CI) Not estimable
2.1.4 Bifidobacterium spp. plus Lactobacillus spp. 4 247 Risk Ratio (M‐H, Fixed, 95% CI) 1.22 [0.38, 3.92]
2.1.5 Bifidobacterium spp. plus Streptococcus spp. 1 474 Risk Ratio (M‐H, Fixed, 95% CI) 0.73 [0.33, 1.60]
2.2 All‐cause mortality 7 1723 Risk Ratio (M‐H, Fixed, 95% CI) 0.92 [0.72, 1.18]
2.2.1 Bifidobacterium spp. 1 474 Risk Ratio (M‐H, Fixed, 95% CI) 0.98 [0.60, 1.61]
2.2.2 Lactobacillus spp. 2 330 Risk Ratio (M‐H, Fixed, 95% CI) 0.78 [0.42, 1.42]
2.2.3 Bacillus clausii 1 120 Risk Ratio (M‐H, Fixed, 95% CI) 0.86 [0.36, 2.08]
2.2.4 Bifidobacterium spp. plus Lactobacillus spp. 2 162 Risk Ratio (M‐H, Fixed, 95% CI) 1.22 [0.36, 4.10]
2.2.5 Bifidobacterium spp. plus Streptococcus spp. 1 637 Risk Ratio (M‐H, Fixed, 95% CI) 0.94 [0.65, 1.35]
2.3 Late‐onset invasive infection 7 1533 Risk Ratio (M‐H, Fixed, 95% CI) 0.93 [0.78, 1.09]
2.3.1 Bifidobacterium spp. 2 642 Risk Ratio (M‐H, Fixed, 95% CI) 1.00 [0.73, 1.37]
2.3.2 Lactobacillus spp. 1 134 Risk Ratio (M‐H, Fixed, 95% CI) 1.05 [0.67, 1.66]
2.3.3 Bacillus clausii 1 120 Risk Ratio (M‐H, Fixed, 95% CI) 0.80 [0.43, 1.47]
2.3.4 Bifidobacterium spp. plus Lactobacillus spp. 2 163 Risk Ratio (M‐H, Fixed, 95% CI) 1.12 [0.65, 1.92]
2.3.5 Bifidobacterium spp. plus Streptococcus spp. 1 474 Risk Ratio (M‐H, Fixed, 95% CI) 0.82 [0.64, 1.06]
2.4 Duration of hospitalisation from birth (days) 2 84 Mean Difference (IV, Random, 95% CI) 2.18 [‐13.84, 18.21]
2.4.1 Bifidobacterium spp. plus Lactobacillus spp. 2 84 Mean Difference (IV, Random, 95% CI) 2.18 [‐13.84, 18.21]

Comparison 3. Subgroup analysis by type of feeding.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
3.1 Necrotising enterocolitis 57 10918 Risk Ratio (M‐H, Fixed, 95% CI) 0.54 [0.46, 0.65]
3.1.1 Human milk only 9 1038 Risk Ratio (M‐H, Fixed, 95% CI) 0.30 [0.16, 0.57]
3.1.2 Mixed: human milk, formula, or both 44 9626 Risk Ratio (M‐H, Fixed, 95% CI) 0.58 [0.48, 0.70]
3.1.3 Formula only 4 254 Risk Ratio (M‐H, Fixed, 95% CI) 0.43 [0.16, 1.18]
3.2 All‐cause mortality 54 10484 Risk Ratio (M‐H, Fixed, 95% CI) 0.77 [0.66, 0.90]
3.2.1 Human milk only 9 1038 Risk Ratio (M‐H, Fixed, 95% CI) 0.64 [0.41, 1.00]
3.2.2 Mixed: human milk, formula, or both 42 9279 Risk Ratio (M‐H, Fixed, 95% CI) 0.80 [0.68, 0.95]
3.2.3 Formula only 3 167 Risk Ratio (M‐H, Fixed, 95% CI) 0.22 [0.04, 1.21]
3.3 Late‐onset invasive infection 49 9876 Risk Ratio (M‐H, Fixed, 95% CI) 0.89 [0.82, 0.97]
3.3.1 Human milk only 9 1038 Risk Ratio (M‐H, Fixed, 95% CI) 0.73 [0.58, 0.93]
3.3.2 Mixed: human milk, formula, or both 37 8614 Risk Ratio (M‐H, Fixed, 95% CI) 0.92 [0.84, 1.01]
3.3.3 Formula only 3 224 Risk Ratio (M‐H, Fixed, 95% CI) 0.41 [0.11, 1.49]
3.4 Duration of hospitalisation from birth (days) 24 5572 Mean Difference (IV, Fixed, 95% CI) ‐1.68 [‐3.08, ‐0.28]
3.4.1 Human milk only 5 418 Mean Difference (IV, Fixed, 95% CI) ‐4.09 [‐7.09, ‐1.09]
3.4.2 Mixed: human milk, formula, or both 17 5064 Mean Difference (IV, Fixed, 95% CI) ‐0.72 [‐2.34, 0.90]
3.4.3 Formula only 2 90 Mean Difference (IV, Fixed, 95% CI) ‐7.38 [‐14.96, 0.21]

Comparison 4. Sensitivity analyses: trials at low risk of bias.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
4.1 Necrotising enterocolitis 17 4649 Risk Ratio (M‐H, Fixed, 95% CI) 0.70 [0.55, 0.89]
4.2 All‐cause mortality 17 4649 Risk Ratio (M‐H, Fixed, 95% CI) 0.86 [0.69, 1.07]
4.3 Late‐onset invasive infection 17 4649 Risk Ratio (M‐H, Fixed, 95% CI) 0.89 [0.78, 1.01]
4.4 Duration of hospitalisation from birth (days) 7 2838 Mean Difference (IV, Random, 95% CI) ‐2.45 [‐5.45, 0.56]
4.5 Neurodevelopmental impairment 2 913 Risk Ratio (M‐H, Fixed, 95% CI) 0.99 [0.76, 1.27]
4.6 Cerebral palsy 2 913 Risk Ratio (M‐H, Fixed, 95% CI) 1.14 [0.68, 1.92]
4.7 Visual impairment 2 913 Risk Ratio (M‐H, Fixed, 95% CI) 2.91 [0.12, 71.21]
4.8 Hearing impairment 2 913 Risk Ratio (M‐H, Fixed, 95% CI) 0.30 [0.09, 0.98]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Agarwal 2003.

Study characteristics
Methods RCT
Participants 39 VLBW infants
Interventions Probiotics (n = 24): Lactobacillus rhamnosus GG once daily with human milk or formula for 21 days or discharge from hospital
Control (n = 15): unsupplemented milk feeds
Outcomes
  • Stool colonisation patterns


NEC, death, and infection not reported
Notes Setting: India (1999–2000)
Funding: UK National Institute for Health (Fogarty Grant TW‐00601) and Conagra Foods Inc., USA (supplied intervention)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Unlikely
Selective reporting (reporting bias) Unclear risk No clinical outcomes reported
Other bias Low risk No evidence of baseline imbalance

Al‐Hosni 2012.

Study characteristics
Methods RCT
Participants 101 ELBW infants (appropriate for gestational age)
Interventions Probiotic (n = 50): Lactobacillus rhamnosus GG and Bifidobacterium infantis added to the first milk feed and continued once daily until discharge or until 34 weeks' postmenstrual age
Control (n = 51): unsupplemented milk feeds
Outcomes
  • Weight gain

  • NEC

  • Death

  • Infection

Notes Setting: USA (2009–2011)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence baseline imbalance

Alshaikh 2022.

Study characteristics
Methods RCT
Participants 62 ELBW infants
Interventions Probiotics (n = 31): Bifidobacterium breve (1.2 billion CFU), B. bifidum (800 million CFU), B. longum subsp. infantis (600 million CFU), B. longum subsp. longum (400 million CFU), and Lactobacillus rhamnosus (1.0 billion CFU) with expressed breast milk or formula feeds once daily until 37 weeks' postmenstrual age
Control (n = 31): unsupplemented milk feeds
Outcomes
  • NEC

  • Infection

  • Death

  • Time to full enteral feeds

  • Length of hospital stay

Notes Setting: Canada (2017–2019)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Sealed opaque envelope with group allocation
Blinding (performance bias and detection bias)
All outcomes High risk Control infants received unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Bin‐Nun 2005.

Study characteristics
Methods RCT
Participants 145 VLBW infants
Interventions Probiotics (n = 72): "Lactobacillus bifidus" (likely Bifidobacterium bifidum), Streptococcus thermophilus, and B. infantis added to expressed breast milk or formula enteral feeds daily until 36 weeks' postmenstrual age
Control (n = 73): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

  • Time to full enteral feeds

Notes Setting: Israel (2001–2004)
Funding: Solgar, Wyeth (manufacturer of intervention)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Unclear risk Data published in an abstract form on 2 previous occasions at the Society of Pediatrics Research (SPR 2003, 2005) with different inclusion criteria and clinical outcomes
Other bias Low risk No evidence of baseline imbalance

Braga 2011.

Study characteristics
Methods RCT
Participants 231 VLBW infants (birth weight 750 g–1500 g)
Interventions Probiotics (n = 119): Lactobacillus casei and Bifidobacterium breve (Yakult ‐ LB) in human milk once daily until day 30 or hospital discharge
Control (n = 112): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

  • Days to full enteral feeds

  • Duration hospital stay

Notes Setting: Brazil (2007–2008)
Funding: public/state
External Study Committee terminated trial early "for a clear benefit" after enrolment of 231 infants.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Sealed envelope with group allocation
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Chandrashekar 2018.

Study characteristics
Methods Quasi‐RCT
Participants 145 preterm infants of gestation < 34 weeks' (most participants were very preterm or VLBW)
Interventions Probiotics (n = 72): Lactobacillus acidophilus, L. rhamnosus, Bifidobacterium longum, and Saccharomyces boulardii with human milk or formula feeds until discharge from hospital
Control (n = 73): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

  • Duration of hospitalisation

Notes Setting: India (2014–2015)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Quote: "Simple random sampling method"
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Near‐complete (5 participants withdrawn pre‐analysis)
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Chowdhury 2016.

Study characteristics
Methods RCT
Participants 119 VLBW Infants (28–33 weeks' gestation)
Interventions Probiotics (n = 60): "Cap TS6" containing Lactobacillus rhamnosus GG, L. paracasei, L. casei, L. acidophilus, Lactococcus latis, Bifidobacterium bifidum, B. longum, B. infantis in human milk once daily until discharge
Control (n = 59): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection days to achieve full enteral feeding

  • Length of hospital stay

Notes Setting: Bangladesh (2012–2015)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk First allocation by lottery, then alternate allocation
Allocation concealment (selection bias) High risk Unconcealed
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Chrzanowska‐Liszewska 2012.

Study characteristics
Methods RCT
Participants 47 very preterm infants (birth weight > 1000 g)
Interventions Probiotics (n = 21): Lactobacillus rhamnosus GG added to formula, once daily until day 42
Control (n = 26): maltodextrin placebo added to formula
Outcomes
  • Microflora of stool measured on day 7, 21, and 42

  • NEC

  • Death

  • Infection (data provided by trial authors on request)

Notes Setting: Poland (2008–2009)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Coded capsules containing probiotics or placebo
Blinding (performance bias and detection bias)
All outcomes Low risk Masked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Costalos 2003.

Study characteristics
Methods RCT
Participants 87 formula‐fed infants (gestational age at birth 28 to 32 weeks)
Interventions Probiotics (n = 51): Saccharomyces boulardii added to formula every 12 hours during the first week of life when enteral feeds are tolerated for 30 days
Control (n = 36): maltodextrin placebo
Outcomes
  • NEC

  • Death

  • Infection

  • Weight gain

Notes Setting Greece (period of study not specified)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Low risk Cards with allocation in sealed envelopes
Blinding (performance bias and detection bias)
All outcomes Low risk Masked
Incomplete outcome data (attrition bias)
All outcomes Low risk Near‐complete (5 infants with incomplete data not included in analyses)
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Costeloe 2015.

Study characteristics
Methods RCT
Participants 1310 infants born before 31 weeks' gestation
Interventions Probiotics (n = 650): Bifidobacterium breve BBG‐001 once daily until 36 weeks’ postmenstrual age or discharge from hospital
Control (n = 660): corn starch placebo
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: UK (24 neonatal units; 2010–2013)
Funding: by UK National Institute for Health Research Health Technology Assessment programme (ISRCTN 05511098)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Web‐based
Blinding (performance bias and detection bias)
All outcomes Low risk Masked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk No
Other bias Low risk No evidence of baseline imbalance

Dani 2002.

Study characteristics
Methods RCT
Participants 585 VLBW infants (or < 33 weeks' gestation at birth)
Interventions Probiotics (n = 295): Lactobacillus rhamnosus GG added to milk (human or formula) feeds once daily until hospital discharge
Control (n = 290): maltodextrin placebo
Outcomes
  • NEC

  • Death

  • Infection

  • Duration of hospitalisation

Notes Setting: Italy (12 centres; study period not specified)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Low risk Sealed envelope containing allocation
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Dashti 2014.

Study characteristics
Methods RCT
Participants 136 preterm infants of birth weight 700–1800 g (most participants very preterm or VLBW)
Interventions Probiotics (n = 69): Lactobacillus acidophilus, L. rhamnosus, L. bulgaricus, L. casei, Streptococcus thermophilus, Bifidobacterium longum, B. breve added to milk feeds once daily until hospital discharge
Control (n = 67): placebo powder (not described)
Outcomes
  • NEC

  • Death

  • Infection data sought from trial authors in July 2020

Notes Setting: Iran (2010–2011)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Demirel 2013.

Study characteristics
Methods RCT
Participants 271 VLBW infants (gestational age ≤ 32 weeks at birth)
Interventions Probiotics (n = 135): Saccharomyces boulardii added to human milk or formula once a day, starting with the 1st feed, until hospital discharge
Control (n = 136): unsupplemented milk
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: Turkey (2011)
Funding: not stated
ClinicalTrials.gov identifier NCT01315821
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Allocations sealed in opaque, sequentially‐numbered envelopes
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Dilli 2015.

Study characteristics
Methods RCT
Participants 200 very preterm or VLBW infants
Interventions Probiotics (n = 100): Bifidobacterium lactis added to human milk or formula once daily for 8 weeks (or hospital discharge)
Control (n= 100): maltodextrin powder placebo
Outcomes
  • NEC

  • Death

  • Infection

  • Length of hospital stay

Notes Setting: Turkey (5 centres; 2011–2014)
Funding: not stated
This was a 4‐arm RCT; 2 other groups received prebiotics (n = 100) and synbiotics (n > 100)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Sealed opaque envelopes
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias High risk Mean birth weight higher in intervention group (1236 g) than in control group (1147 g)

Dutta 2015.

Study characteristics
Methods RCT
Participants 149 infants (27 to 33 weeks' gestation at birth)
Interventions Probiotics (n = 114): Lactobacillus acidophilus, L. rhamnosus, Bifidobacterium longum, and Saccharomyces boulardii (3 groups: "low‐dose" (109) for 21 days or "high‐dose" (1010) 2 times daily with human milk or formula feeds for 14 or 21 days)
Control (n = 35): maltodextrin placebo for 21 days
Outcomes
  • Probiotic stool colonisation

  • NEC

  • Mortality

  • Infection

Notes Setting: India (study period not stated)
Funding: Aristo Pharmaceuticals Pvt Ltd, Madhya Pradesh, India provided the sachets of probiotics and placebo free of cost.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes Low risk Masked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Fernández‐Carrocera 2013.

Study characteristics
Methods RCT
Participants 150 VLBW infants
Interventions Probiotics (n = 75): Lactobacillus rhamnosus, L. casei, L. plantarum, L acidophilus, Bifidobacterium infantis, and Streptococcus thermophilus added to human milk or formula (duration of intervention not stated)
Control (n = 75): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: Mexico (2007–2010)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Random number table
Allocation concealment (selection bias) Low risk Staff unable to predict allocation by number
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Unclear risk Birth weight and gestation (or other neonatal baseline characteristics) not reported

Fujii 2006.

Study characteristics
Methods Quasi‐RCT
Participants 19 preterm infants (most very preterm or VLBW)
Interventions Probiotics (n = 11): Bifidobacterium breve 2 times daily with human milk or formula feeds until hospital discharge
Control (n = 8): unsupplemented milk feeds
Outcomes
  • Cytokine levels in plasma

  • NEC

  • Death

  • Infection

Notes Setting: Japan (2000–2002)
Funding: Morinaja Milk industry and Meiji Dairies (manufactured intervention)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Complete
Selective reporting (reporting bias) Unclear risk Unclear
Other bias Low risk No evidence of baseline imbalance

Hariharan 2016.

Study characteristics
Methods RCT
Participants 196 very preterm infants with birth weight < 1250 g
Interventions Probiotics (n = 93): Lactobacillus acidophilus, Bifidobacterium bifidum, and Saccharomyces boulardii 2 times daily in milk feeds for 6 weeks
Control (n = 103): unsupplemented feeds
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: India (study period not stated)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Unclear risk Unclear
Other bias Low risk No evidence of baseline imbalance

Hays 2015.

Study characteristics
Methods RCT
Participants 199 very preterm infants (gestation at birth 25–1 weeks), and birth weight 700–1600 g that was appropriate for gestational age
Interventions Probiotics (3 groups; n = 145): Bifidobacterium lactis, B. longum, or both once daily in sterile water for 4 to 6 weeks (depending on gestation at birth)
Control (n = 52): maltodextrin placebo
Outcomes
  • NEC

  • Death

  • Infection

Notes France (3 centres; 2007–2010)
Funding: Nestle France (Marne‐la‐Vallee, France) and Nestec (Vevey, Switzerland)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Consecutively numbered, sealed, opaque envelopes
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Hernandez‐Enriquez 2016.

Study characteristics
Methods RCT
Participants 44 preterm infants < 34 weeks' gestation or ≤ 1550 g birth weight (most infants very preterm or VLBW)
Interventions Intervention (n = 24): Lactobacillus reuteri once daily for first 10 days after birth
Control (n = 20): placebo (sterile water)
Outcomes
  • NEC

  • Death

  • Infection (data provided by trial authors on request)

Notes Setting: Mexico (2012–2013)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: "Simple randomisation sequence"
Allocation concealment (selection bias) Low risk Sealed opaque envelopes
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Complete
Selective reporting (reporting bias) Unclear risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Hikaru 2010.

Study characteristics
Methods RCT
Participants 208 VLBW infants
Interventions Probiotics (n = 108): Bifidobacterium breve in human milk or formula once daily until discharge from the intensive care unit
Control (n = 100): unsupplemented milk feeds
Outcomes
  • Infection


NEC not reported
Notes Setting: Japan (2001–2013)
Funding: Morinaga Milk Industry Co. Ltd. (supplied Bifidobacterium breve preparation)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Unclear risk Unclear
Other bias Low risk No evidence of baseline imbalance

Huang 2009.

Study characteristics
Methods RCT
Participants 183 VLBW infants who survived 7 days after birth and began enteral feeding
Interventions Probiotics (n = 95): Bifidobacterium adolescentis twice daily with milk feeds daily for 7 days
Control (n = 88): unsupplemented milk feeds
Outcomes
  • NEC (unclear whether death or infection assessed)

Notes Setting: China (single‐centre, study dates not stated)
Translation from Chinese courtesy of Yuan Chi
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Unable to assess
Selective reporting (reporting bias) Unclear risk Mortality and infection not reported
Other bias Low risk No evidence of baseline imbalance

Indrio 2017.

Study characteristics
Methods RCT
Participants 60 preterm infants of gestational age 28 to 32 weeks at birth
Interventions Probiotics (n = 30): Lactobacillus reuteri suspended in sunflower and medium‐chain triglyceride oils, given once daily until day 30
Control (n = 30): identical oils without probiotics
Outcomes
  • NEC

  • Death

  • Infection

  • Duration of hospital stay (data provided by trial authors on request)

Notes Setting: Italy (2011–2012)
Funding: University of Bari, Italy
ClinicalTrials.gov identifier NCT00985816
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Unclear risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Jacobs 2013.

Study characteristics
Methods RCT
Participants 1099 very preterm VLBW infants
Interventions Probiotics (n = 548): Bifidobacterium infantis, Streptococcus thermophilus, and B. lactis once daily in human milk or formula until discharge from hospital or term‐corrected age.
Control (n = 551): maltodextrin powder placebo
Outcomes
  • NEC

  • Death

  • Infection

  • Infection with a probiotic species

  • Duration of hospitalisation from birth

  • Major neurodevelopmental impairment: moderate or severe cerebral palsy, Bayley‐III Motor Composite Scale < –2 SD (or Movement Assessment Battery for Children < 15th centile if > 42 months post‐term), Bayley‐III Composite Cognitive or Language Scales < –2 SD (or Wechsler Preschool and Primary Scale of Intelligence Full Scale Intelligence Quotient < –2 SD if > 42 months post‐term), blindness, or deafness

Notes Setting: Australasia (10 centres; 2007–2011)
Funding: National Health and Research Medical Council, Australia
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Central allocation
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete for in‐hospital outcomes (48% for neurodevelopmental assessment)
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Kanic 2015.

Study characteristics
Methods RCT
Participants 80 VLBW infants
Interventions Probiotics (n = 40): Lactobacillus acidophilus, Enterococcus faecium, and Bifidobacterium infantis 2 times daily with milk feeds until discharge from hospital
Control (n = 40): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

  • Duration of hospitalisation from birth

Notes Setting: Slovenia (2008–2011)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Alternate allocation (quote: "quasi‐randomised")
Allocation concealment (selection bias) High risk Unconcealed
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Kitajima 1997.

Study characteristics
Methods RCT
Participants 91 VLBW infants
Interventions Probiotics (n = 45): Bifidobacterium breve in distilled water once daily for 28 days
Control (n = 46): distilled water
Outcomes
  • Probiotic colonisation of stool


Date on NEC, death, and infection provided by trial authors on request
Notes Setting: Japan (1990–1991)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Near‐complete (4 participants not included in analyses)
Selective reporting (reporting bias) Low risk Data
Other bias Low risk No evidence of baseline imbalance

Li 2019.

Study characteristics
Methods RCT
Participants 30 VLBW infants
Interventions Probiotics (n = 16): Lactobacillus plantarum, Bifidobacterium longum, and B. bifidum once daily with milk feeds until 36 weeks' postmenstrual age
Control (n = 14): 5% glucose solution
Outcomes
  • Change of gut microbiota

  • Correlation of gut microbial composition

  • Levels of cytokines


NEC, death, infection not reported; trial author contacted in May 2020
Notes Setting: China (2014–2015)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Unclear risk Quote: "Concealed by the principal investigator according to sequential numbers"
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (intervention and control solutions identical)
Incomplete outcome data (attrition bias)
All outcomes High risk > 50% outcome data unreported
Selective reporting (reporting bias) Unclear risk Unable to determine
Other bias Low risk No evidence of baseline imbalance

Lin 2005.

Study characteristics
Methods RCT
Participants 367 VLBW infants
Interventions Probiotics (n = 180): Lactobacillus acidophilus and Bifidobacterium infantis (Infloran) 2 times daily with human milk until discharge from hospital
Control (n = 187): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

  • Duration of hospitalisation

  • Neurodevelopmental impairment at aged 3 years, defined as 1 or more of: BSID‐II MDI < 70, PDI < 70, bilateral blindness, bilateral hearing impairment requiring amplification, or moderate or severe cerebral palsy (requiring ambulatory assistance)

Notes Setting: Taiwan (1999–2003)
Funding: Research Department of China Medical University Hospital
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Random‐number table
Allocation concealment (selection bias) Low risk Opaque, sequentially numbered, sealed envelopes
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled (investigators aware of allocation)
Incomplete outcome data (attrition bias)
All outcomes Low risk Near‐complete (90% for neurodevelopmental assessments)
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Lin 2008.

Study characteristics
Methods RCT
Participants 434 VLBW infants
Interventions Probiotics (n = 217): Bifidobacterium bifidum and Lactobacillus acidophilus, added to human milk or formula 2 times daily for 6 weeks
Control (n = 217): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: Taiwan (7 centres: 2005–2007)
Funding: National Science Council of Taiwan
ClinicalTrials.gov identifier NCT00540033
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Allocated centrally
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Manzoni 2006.

Study characteristics
Methods RCT
Participants 80 VLBW infants
Interventions Probiotics (n = 39): Lactobacillus casei subspecies rhamnosus with human milk until 6 weeks or hospital discharge
Control (n = 41): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: Italy (2004–2005)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Manzoni 2009.

Study characteristics
Methods RCT
Participants 485 VLBW infants
Interventions Probiotics (n = 238): Lactobacillus casei subspecies rhamnosus with human milk or formula until 4 weeks (VLBW) or 6 weeks (ELBW) plus bovine lactoferrin (100 mg/day)
Control (n = 247): bovine lactoferrin alone
All doses including placebo were diluted in prepared milk to maintain masking
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: Italy (11 centres; 2007–2008)
Funding: Dicofarm SpA (manufacturer of intervention)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Pharmacy allocation (remote)
Blinding (performance bias and detection bias)
All outcomes Low risk Masked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Unclear risk Data for invasive infection in complete cohort not reported in primary publication (available to derive from later publications)
Other bias Low risk No evidence of baseline imbalance

Matin 2022.

Study characteristics
Methods RCT
Participants 52 VLBW infants (1000–1500 g)
Interventions Probiotics (n = 26): Lactobacillus paracasei once daily with maternal milk for 28 days 
Control (n = 26): potato starch placebo
Outcomes
  • Serum bilirubin levels

  • Duration of hospitalisation

  • NEC

  • Death

  • Infection

Notes Setting: Iran (2021)
Funding: Tabriz University of Medical Sciences (Grant numbers 66400)
Iranian Registry of Clinical Trials registration number IRCT20100414003706N38
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Pharmacy‐allocated
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Mihatsch 2010.

Study characteristics
Methods RCT
Participants 180 VLBW infants (< 30 weeks' gestation)
Interventions Probiotics (n = 91): Bifidobacterium lactis BB12 mixed with powdered fortifier in human milk or formula once daily for 6 weeks
Control (n = 89): powdered fortifier placebo
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: Germany (2000–2003)
Funding: Nestlé AG, Frankfurt, Germany
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Sealed envelopes
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Millar 1993.

Study characteristics
Methods RCT
Participants 20 infants < 33 weeks' gestation (most participants very preterm or VLBW)
Interventions Probiotics (n = 10): Lactobacillus rhamnosus GG mixed with human milk or formula 2 times daily for 14 days, starting with first feed
Control (n = 10): unsupplemented milk feeds
Outcomes
  • Stool colonisation

  • Invasive infection


Data for NEC and death provided by trial authors on request
Notes Setting: UK (1991–1992)
Funding: Wessex Medical Trust
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Mohan 2006.

Study characteristics
Methods RCT
Participants 69 preterm infants (most participants were very preterm or VLBW)
Interventions Probiotics (n = 37): Bifidobacterium lactis in milk feeds from first day after birth for 21 days
Control (n = 32): unsupplemented milk feeds
Outcomes
  • No clinical outcomes presented in the published data


Data for NEC, death, and infection provided by trial authors on request
Notes Setting: Germany (2003–2005)
Funding: Nestlé, Konolfingen, Switzerland
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Unclear risk Central allocation (web‐based)
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Moreno‐Sanz 2022.

Study characteristics
Methods RCT
Participants 30 very preterm infants
Interventions Probiotics (n = 15) Ligilactobacillus salivarius subsp infantis and Bifidobacterium longum
Placebo (n = 15): placebo not specified, but described as having "appearance, colour, and taste [...] identical to the probiotic"
Outcomes
  • Stool colonisation patterns

Notes Setting: not stated
Funding: Probisearch SLU
Outcome data not reported; further information sought from investigators but not available (August 2022)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Near‐complete assessment (3 withdrawals)
Selective reporting (reporting bias) Unclear risk Primary outcome as stool colonisation patterns; clinical outcomes not reported
Other bias Low risk No evidence of baseline imbalance

Oncel 2014.

Study characteristics
Methods RCT
Participants 424 VLBW infants (and gestational age ≤ 32 weeks at birth)
Interventions Probiotics (n = 213) Lactobacillus reuteri DSM 17938 once daily with milk feeds until discharge from hospital
Placebo (n = 211): placebo containing only oil base
Outcomes
  • NEC

  • Death

  • Infection

  • Culture‐proven infection with L. reuteri

  • Duration of hospitalisation (presented as median/range)

  • Neurodevelopmental impairment at 18–24 months, defined as 1 or more of: BSID‐II MDI < 70, PDI < 70, moderate‐to‐severe cerebral palsy, bilateral hearing impairment, or bilateral blindness

Notes Setting: Turkey (2012–2013)
Funding: not stated
ClinicalTrials.gov identifier NCT01531179
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Opaque, sequentially numbered sealed envelopes
Blinding (performance bias and detection bias)
All outcomes Low risk Masked
Incomplete outcome data (attrition bias)
All outcomes Low risk Near‐complete (8 participants withdrawn by family) for in‐hospital outcomes (68% for neurodevelopmental assessment)
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Oshiro 2019.

Study characteristics
Methods RCT
Participants 35 VLBW infants
Interventions Probiotics (n = 17): Bifidobacterium breve BBG‐01 in human milk feeds once daily during the hospital stay
Control (n = 18): "placebo" (not specified)
Outcomes
  • NEC

  • Death

  • Infection

  • Weight gain

Notes Setting: Japan (2015–2017)
Funding: Yakult Honsha Company, Japan (manufacturer of intervention)
Additional data via personal communication with Dr Yuichiro Yamashiro
UMIN Registration No. UMIN000005412
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Sealed, opaque envelopes
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (probiotic added to milk by dieticians who were not involved in the care of the infant)
Incomplete outcome data (attrition bias)
All outcomes Low risk Masked
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Patole 2014.

Study characteristics
Methods RCT
Participants 159 VLBW infants (< 33 weeks' gestation at birth)
Interventions Probiotics (n = 79): Bifidobacterium breve M‐16V in milk feeds once daily until term equivalent
Control (n = 80): maltodextrin placebo
Outcomes
  • Probiotic colonisation of stool

  • NEC

  • Death

  • Infection

  • Blood culture‐positive sepsis by B. breve M‐16V


Neurodevelopmental outcomes provided by trial authors on request
Notes Setting: Australia (2009–2012)
Funding: Morinaga Milk Industry Company, Japan supplied the product free for the trial
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Opaque, sealed, coded envelopes
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Near‐complete (6 infants withdrawn)
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Rehman 2018.

Study characteristics
Methods RCT
Participants 146 VLBW preterm infants (gestational age at birth > 26 weeks)
Interventions Probiotics (n = 70): Bifidobacterium spp. (not specified), Lactobacilli acidophilhis, Streptococcus thermophilus, and L. delbrueckii with human milk or formula 2 times daily until hospital discharge
Control (n = 70): unsupplemented milk feeds
Outcomes
  • NEC

  • Death (data provided by trial authors on request)

Notes Setting: Pakistan (2014)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Unclear risk Infection not reported
Other bias Low risk No evidence of baseline imbalance

Ren 2010.

Study characteristics
Methods RCT
Participants 150 preterm infants (most participants were very preterm)
Interventions Probiotics (n = 79): Bifidobacterium infantis, Lactobacillus acidophilus, Bacillus cereus, and Enterococcus faecalis in milk feeds twice daily from day 7 after birth for 7 days (route translated as "oral or nasal", presumed to mean orogastric or nasogastric tube)
Control (n = 80): unsupplemented milk feeds
Outcomes
  • NEC

Notes Setting: China (single‐centre, 2006–2008)
Funding: not stated
Translation from Chinese courtesy of Yuan Chi
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: "Drawing lots"
Allocation concealment (selection bias) Unclear risk Safeguards unclear
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Unable to assess
Selective reporting (reporting bias) Unclear risk Mortality and infection not reported
Other bias Unclear risk Baseline characteristics not reported

Reuman 1986.

Study characteristics
Methods Quasi‐RCT
Participants 30 very preterm infants (birth weight < 2000 g)
Interventions Probiotics (n = 15): Lactobacillus acidophilus in formula daily for 28 days
Control (n = 15): unsupplemented formula feeds
Outcomes
  • Stool colonisation

  • NEC

  • Death

  • Duration of hospitalisation

  • Rate of weight gain

Notes Setting: USA (early 1980s)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Random number charts and the last digit of the infant's chart number, then alternate allocation of next infant
Allocation concealment (selection bias) High risk Unconcealed
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Unclear risk Infection not reported
Other bias Low risk No evidence of baseline imbalance

Rougé 2009.

Study characteristics
Methods RCT
Participants 94 very preterm or VLBW infants
Interventions Probiotics (n = 45): Lactobacillus rhamnosus GG and Bifidobacterium longum with human milk or formula once daily until discharge from hospital
Control (n = 49): maltodextrin placebo
Outcomes
  • NEC

  • Death

  • Infection

  • Duration of hospital stay

Notes Setting: France (2005–2007)
Funding: Programme Hospitalier de Recherche Clinique of the French Ministry of Health
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Centrally allocated
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Roy 2014.

Study characteristics
Methods RCT
Participants 112 preterm VLBW infants
Interventions Probiotics (n = 56): Lactobacillus acidophilus, Bifidobacterium longum, B. bifidum, and B. lactis 2 times daily with human milk for 6 weeks or until discharged from hospital
Control (n = 56): sterile water as "placebo"
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: India (2012–2013)
Funding: none
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Centrally allocated
Blinding (performance bias and detection bias)
All outcomes Low risk Masked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Sadowska‐Krawczenko 2012.

Study characteristics
Methods RCT
Participants 55 very preterm or VLBW infants
Interventions Probiotics (n = 30): Lactobacillus rhamnosus 2 times daily in 2 mL of 5% dextrose until discharge from hospital
Control (n = 25): maltodextrin placebo
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: Poland (2008–2009)
Funding: Biomed Lublin, Poland supplied the intervention
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Central allocation
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias High risk Median birthweight higher in the experimental group (1034 g) than in controls (900 g)

Saengtawesin 2014.

Study characteristics
Methods RCT
Participants 60 VLBW infants with gestational age ≤ 34 weeks at birth
Interventions Probiotics (n = 31): Lactobacillus acidophilus and Bifidobacterium bifidum (Infloran) once daily with human milk or formula until 6 weeks or hospital discharge
Control (n = 29): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

  • Probiotic "sepsis"

  • Duration of hospitalisation

Notes Setting: Thailand (2012–2013)
Funding: Queen Sirikit National Institute of Child Health, Perinatal Society of Thailand and DKSH (Thailand) Limited
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Samanta 2009.

Study characteristics
Methods RCT
Participants 186 very preterm or VLBW infants
Interventions Probiotics (n = 91): Bifidobacteria infantis, B. bifidum, B. longum, and Lactobacillus acidophilus with human milk 2 times daily until hospital discharge
Control (n = 95): unsupplemented human milk feeds
Outcomes
  • NEC

  • Death

  • Infection

  • Duration of hospital stay

Notes Setting: India (2007–2008)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Sari 2011.

Study characteristics
Methods RCT
Participants 221 VLBW infants (gestational age < 33 weeks at birth)
Interventions Probiotics (n = 110): Lactobacillus sporogenes in human milk or formula once daily until discharge from hospital
Control (n = 111): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

  • Rate of weight gain

  • Neurodevelopmental impairment at 18–24 months post‐term, defined as 1 or more of: BSID‐II MDI < 70, PDI < 70, cerebral palsy, bilateral blindness, or hearing impairment requiring amplification in both ears

Notes Setting: Turkey (2008–2009)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Opaque, sequentially numbered, sealed envelopes
Blinding (performance bias and detection bias)
All outcomes Unclear risk Caregivers masked, investigators not masked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete for in‐hospital outcomes (84% for neurodevelopmental assessment)
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Serce 2013.

Study characteristics
Methods RCT
Participants 208 very preterm or VLBW infants
Interventions Probiotics (n = 104): Saccharomyces boulardii in human milk or formula once daily until discharge from hospital
Control (n = 104): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

  • Rate of weight gain

  • Duration of hospitalisation

  • Culture proven Saccharomyces boulardii "sepsis"

Notes Setting: Turkey (2010–2011)
Funding: Biocodex supplied the intervention
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Opaque, sequentially‐numbered, sealed envelopes
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Shadkam 2015.

Study characteristics
Methods RCT
Participants 60 preterm infants born at 28–34 weeks' gestation with birth weight 1000–1800 g (most participants were very preterm or VLBW)
Interventions Probiotics (n = 30): Lactobacillus reuteri DSM 17938 2 times daily with human milk until full enteral feeding was reached (about 2 weeks)
Control (n =30): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: Iran (2012–2013)
Funding: Shahid Sadughi University, Iran
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Random allocation software
Allocation concealment (selection bias) Unclear risk No information on concealment
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Shashidhar 2017.

Study characteristics
Methods RCT
Participants 104 VLBW infants
Interventions Probiotics (n = 52): Lactobacillus acidophilus, L. rhamnosus, Bifidobacterium longum, and Saccharomyces boulardii (Darolac) once daily in human milk until discharge from hospital
Control (n = 52): unsupplemented milk feeds
Outcomes
  • NEC

  • Death

  • Duration of hospital stay

Notes Setting India (2012–2013)
Funding: not stated
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Sequentially‐numbered, opaque, sealed envelopes
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Near‐complete (3 infants in each group withdrawn)
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Sowden 2022.

Study characteristics
Methods RCT
Participants 200 VLBW infants
Interventions Probiotics (n = 100) Lactobacillus acidophilus, Bifidobacterium bifidum (0.67 CFUs), and B. infantis (Labinic) once daily in human milk or formula for 28 days
Control (n = 100): medium chain triglyceride oil and Aerosil 2000 placebo (Aerosil 2000 is a stabiliser used in probiotic and placebo formulations)
Outcomes
  • NEC

  • Mortality

  • Feed intolerance

Notes Setting: South Africa (2021)
Funding: South African Medical Research Council, Harry Crossley Foundation, and VU University of Amsterdam
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: "Random number allocation"
Allocation concealment (selection bias) Unclear risk Quote: "Consecutive sampling"
Blinding (performance bias and detection bias)
All outcomes Low risk Placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Unclear risk Mortality not reported
Other bias Low risk No evidence of baseline imbalance

Stratiki 2007.

Study characteristics
Methods RCT
Participants 77 preterm infants with gestational age > 26 weeks at birth (most infants were very preterm or VLBW)
Interventions Probiotics (n = 41): Bifidobacterium lactis supplemented formula for 30 days
Control (n = 36): unsupplemented formula feeds
Outcomes
  • Stool colonisation

  • Intestinal permeability

  • NEC

  • Death

  • Infection

  • Rate of weight gain

Notes Setting: Greece (2004–2005)
Funding: Nestlé, Vevey provide the B. lactis supplemented formula
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Random numbers generator
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes Unclear risk Unsupplemented milk feeds; not placebo‐controlled
Incomplete outcome data (attrition bias)
All outcomes Low risk Near‐complete (3 infants not included in analyses)
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Strus 2018.

Study characteristics
Methods RCT
Participants 181 preterm infants ≤ 34 weeks' gestation and birth weight 750–1800 g (most infants were very preterm or VLBW)
Interventions Probiotics (n = 90): Lactobacillus rhamnosus KL53A and Bifidobacterium breve PB04 in milk feeds for 6 weeks or until hospital discharge
Control (n = 91): maltodextrin placebo
Outcomes
  • Stool colonisation

  • NEC

  • Death

  • Infection

Notes Setting: Poland (2012–2013)
Funding: IBSS BIOMED S.A., Krakow, Poland
ClinicalTrials.gov identifier NCT02073214
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated sequence
Allocation concealment (selection bias) Low risk Centrally allocated
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Tewari 2015.

Study characteristics
Methods RCT
Participants 244 preterm infants < 34 weeks' gestation at birth (most infants were very preterm or VLBW)
Interventions Probiotics (n = 121): Bacillus clausii 3 times daily with human milk for 6 weeks, or until discharge or death or occurrence of late‐onset invasive infection
Control (n = 123): sterile water placebo (probiotic and the placebo were identical in appearance)
Outcomes
  • NEC

  • Death

  • Infection

  • Duration of hospital stay

Notes Setting: India (2012–2014)
Funding: Enterogermina, Sanofi‐Aventis, Italy supplied the intervention
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Web‐based
Blinding (performance bias and detection bias)
All outcomes Low risk Masked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Totsu 2014.

Study characteristics
Methods Cluster‐RCT
Participants 283 VLBW infants in 19 neonatal centres
Interventions Probiotics (n = 10 centres; 153 infants*): Bifidobacterium bifidum with human milk or formula feeds 2 times daily until infant reached 2000 g bodyweight
Control (n = 9 centres; 130 infants*): maltodextrin placebo
*Inter‐cluster correlation correction of data for inclusion in meta‐analyses achieved by dividing numerators and denominator by the design effect (1.2779):
Probiotics: adjusted n = 120 for in‐hospital outcomes; n = 80 for neurodevelopmental assessment outcomes
Control: adjusted n = 102 for in‐hospital outcomes; n = 82 for neurodevelopmental assessment outcomes
Outcomes
  • NEC

  • Death

  • Infection

  • Duration of hospital stay

  • Rate of weight gain

  • Neurodevelopmental impairment at 18 months, defined as Kyoto Scale of Psychological Development 2001 developmental quotient < 70, hearing (bilateral aids) or visual impairment, cerebral palsy (Gross Motor Function Classification System level II or greater)

Notes Setting: Japan (19 centres; 2010–2011)
Funding: Meiji, Tokyo, Japan
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated (stratified by "patient volume" of centre)
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete for in‐hospital outcomes (73% for neurodevelopmental assessment)
Selective reporting (reporting bias) Low risk Unlikely
Other bias High risk Mean birthweight and gestation were similar, but antenatal corticosteroid exposure was higher in the intervention group (66%) than controls (51%).

Van Niekerk 2014.

Study characteristics
Methods RCT
Participants 184 VLBW infants (< 1250 g)
Interventions Probiotics (n = 91): Lactobacillus rhamnosusGG and Bifidobacterium infantis daily with human milk feeds for 4 weeks
Control (n = 93): MCT oil placebo in milk feeds
Outcomes
  • NEC

  • Death

  • Infection

Notes Setting: South Africa (2011–2012)
Funding: National Research Foundation, Nestle Nutrition Institute Africa, Medical Research Council, and the Faculty of Medicine and Health Sciences, Stellenbosch University
ClinicalTrials.gov identifier NCT01868737
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Independent statistician‐generated
Allocation concealment (selection bias) Low risk Pharmacy allocation (stratified by maternal HIV status)
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Wang 2007.

Study characteristics
Methods Quasi‐RCT
Participants 44 VLBW infants
Interventions Probiotics (n = 22): Bifidobacterium breve in milk feeds 2 times daily until hospital discharge
Control (n = 33): unsupplemented milk feeds
Outcomes
  • Short‐chain fatty acid and faecal lactic acid concentration

  • Infection


NEC data provided by trial authors on request
Notes Setting: Japan (2001–2004)
Funding: intervention provided by Morinaga Milk Industry, Kanagawa, Japan
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Alternate allocation
Allocation concealment (selection bias) High risk Unconcealed
Blinding (performance bias and detection bias)
All outcomes High risk Unmasked
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely (did not aim to assess clinical outcomes)
Other bias Low risk No evidence of baseline imbalance

Wejryd 2019.

Study characteristics
Methods RCT
Participants 141 ELBW infants (gestational age at birth < 28 weeks)
Interventions Probiotics (n = 72): Lactobacillus reuteri DSM 17938 once daily with human milk until 36 weeks' postmenstrual age
Control (n = 69): maltodextrin placebo
Outcomes
  • Time to full enteral feeds

  • NEC

  • Death

  • Infection

Notes Setting: Sweden (10 centres; 2012–2015)
Funding: Swedish Research Council, the Swedish Society for Medical Research, the Swedish Society of Medicine, the Research Council for the South‐East Sweden, ALF Grants, Region Ostergotland, the Ekhaga Foundation, and BioGaia AB
ClinicalTrials.gov identifier NCT01603368
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated
Allocation concealment (selection bias) Low risk Centrally coded by sequential study number
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes Low risk Complete
Selective reporting (reporting bias) Low risk Unlikely
Other bias Low risk No evidence of baseline imbalance

Zeber‐Lubecka 2016.

Study characteristics
Methods RCT
Participants 55 preterm infant < 33 weeks' gestation (most infants were very preterm or VLBW)
Interventions Probiotics (n = 28): Saccharomyces boulardii once daily with human milk or formula feeds for six weeks
Control (n = 27): maltodextrin placebo
Outcomes
  • Stool microbiomic structure


Data for NEC, death, and infection provided by trial authors on request (no events)
Notes Setting: Poland (study period not stated)
Funding: The National Science Centre, Poland
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not described (quote: "randomly divided")
Allocation concealment (selection bias) Unclear risk Not described
Blinding (performance bias and detection bias)
All outcomes Low risk Masked (placebo‐controlled)
Incomplete outcome data (attrition bias)
All outcomes High risk Missing data from each group (10 from probiotics and 6 from placebo) not accounted for
Selective reporting (reporting bias) Low risk Unlikely (primary aim to study intestinal microbiome)
Other bias Low risk No evidence of baseline imbalance

BG‐01: Bifidobacterium breve; BSID: the Bayley Scales of Infant Development; CFU: colony forming units; ELBW: extremely low birth weight; g: gram(s); MCT: medium chain triglycerides; MDI: Mental Developmental Index; NEC: necrotising enterocolitis; PDI: Psychomotor Development Index; RCT: randomised controlled trial; SD: standard deviation; VLBW: very low birth weight.

Characteristics of excluded studies [ordered by study ID]

Study Reason for exclusion
Ahmed 2022 Most participants not very preterm or VLBW.
Arora 2017 Most participants not very preterm or VLBW.
Awad 2010 Most participants not very preterm or VLBW.
Chi 2019 Not an RCT.
Dasopoulou 2015 RCT of prebiotics.
Deng 2010 Most participants not very preterm or VLBW.
Denkel 2016 Not an RCT.
Di 2010 Most participants not very preterm or VLBW.
Dongol‐Singh 2017 Most participants not very preterm or VLBW.
Hua 2014 Most participants not very preterm or VLBW.
Hussain 2016 Most participants not very preterm or VLBW.
Ke 2008 Most participants not very preterm or VLBW.
Koksal 2015 RCT of synbiotics.
Moles 2015 A pilot study in 5 infants.
Partty 2013 Most participants not very preterm or VLBW.
Qiao 2017 Most participants not very preterm or VLBW.
Rojas 2012 Most participants not very preterm or VLBW.
Romeo 2011 Most participants not very preterm or VLBW.
Shujie 2011 Most participants not very preterm or VLBW.
Sinha 2015 Most participants not very preterm or VLBW.
Thanhaeuser 2014 Not an RCT.
Uhlemann 1999 Most participants not very preterm or VLBW.
Underwood 2014 RCT of prebiotics
Xu 2016 Most participants not very preterm or VLBW.
Zhou 2012 Most participants not very preterm or VLBW.
Zhuang 2007 Most participants not very preterm or VLBW.

RCT: randomised controlled trial; VLBW: very low birth weight.

Characteristics of studies awaiting classification [ordered by study ID]

Coleta 2013.

Methods RCT
Participants 60 preterm infants
Interventions Lactobacillus reuteri
Outcomes
  • Feed tolerance

Notes Setting: Romania (study period not stated)
Funding: not stated
Unlikely to have been reported fully (unable to contact investigators)

Kaban 2019.

Methods RCT
Participants 94 infants of gestation 28 – 34 weeks and birthweight 1000 – 1800 g
Interventions Lactobacillus reuteri
Outcomes
  • NEC

  • Infection

  • Death

Notes Setting: not stated
Funding: not stated
Data for very preterm or VLBW infants sought from investigators (August 2022)

Niazi 2021.

Methods RCT
Participants 260 VLBW infants
Interventions Probiotics (not specified)
Outcomes
  • NEC

  • Death

Notes Setting: not stated
Funding: not stated
Outcome data not reported; further information sought from investigators (August 2022)

Punnahitananda 2006.

Methods RCT (unclear)
Participants VLBW infants
Interventions Lactobacillus acidophilus and Bifidobacterium infantis
Outcomes
  • NEC

  • Infection

  • Time to full enteral feeding

Notes Setting: not stated
Funding: not stated
Data presented at 14th Congress of the Federation of Asia Oceania Perinatal Societies, 2006, Bangkok, Thailand. Possible RCT (unclear); report not available.

Reznikov 2022.

Methods RCT (unclear)
Participants 19 very preterm or VLBW infants
Interventions Bifidobacterium lactis, B. infantis, and Streptococcus thermophilus
Outcomes
  • Plasma levels of immune system/inflammatory biomarkers

Notes Setting: not stated
Funding: Abbott Nutrition
Presented as conference abstract (report not available). Possible RCT (unclear); investigators contacted for further information (August 2022)

NEC: necrotising enterocolitis; RCT: randomised controlled trial; VLBW: very low birth weight.

Characteristics of ongoing studies [ordered by study ID]

Marißen 2019.

Study name Efficacy of Bifidobacterium longum, B. infantis and Lactobacillus acidophilus probiotics to prevent gut dysbiosis in preterm infants of 28‐ 32 weeks' gestation: a randomised, placebo‐controlled, double‐blind, multicentre trial: the PRIMAL Clinical Study protocol
Methods RCT
Participants Preterm infants (28 to 32 weeks')
Interventions Bifidobacterium longum, B. infantis, and Lactobacillus acidophilus
Outcomes
  • Stool colonisation

Starting date 2020
Contact information Christoph Hartel, Department of Paediatrics, University of Lübeck, Germany
Notes Setting: not stated
Trial registration number DRKS00013197

NCT00977912.

Study name Necrotizing enterocolitis (Nec) and B. Lactis in premature babies
Methods RCT
Participants VLBW infants
Interventions B. lactis for 6 weeks
Outcomes
  • NEC

  • Antibiotic administration

  • Stool microbiology

Starting date November 2009
Contact information Dr Peter Cooper, University of Witwatetersrand & Charlotte Maxek Johannestburg Academic Hospital, Zambia
Notes Setting: not stated
"Terminated" in 2013; unlikely to have been completed (not reported)

NCT01181791.

Study name Effects of Lactobacillus reuteri in premature infants (reuteri)
Methods RCT
Participants VLBW infant
Interventions Lactobacillus reuteri during hospitalisation
Outcomes
  • Time to reach full enteral feeds

  • Stool colonisation

  • Intestinal immunological response

Starting date 2010
Contact information Teresa del Moral, University of Miami
Notes Setting: Chile
"Terminated" because of slow recruitment; unlikely to have been reported

NCT01375309.

Study name Bifidobacterium supplementation for very low birth weight infants (Bifido(RCT))
Methods RCT
Participants VLBW infants
Interventions Bifidobacterium bifidum (duration not clear)
Outcomes
  • Time to full enteral feeding

  • Weight gain

  • NEC

Starting date 2011
Contact information Satoshi Kusuda, Professor of Neonatology, Tokyo Women's Medical University
Notes Setting: not stated
"Completed" 2012; unlikely to have been reported

NCT04541771.

Study name The role of Lactobacillus reuteri in preventing necrotizing enterocolitis (NEC) in pre‐term infants (NEC)
Methods RCT
Participants Preterm infants (28 to 34 weeks')
Interventions Lactobacillus reuteri until 35 weeks of gestation or discharged from hospital
Outcomes
  • NEC

  • Infection

Starting date 2020
Contact information Dr Summera Tabasum, The Children Complex & The Institute of Child Health, Multan
Notes Setting: not stated

NEC: necrotising enterocolitis; RCT: randomised controlled trial; VLBW: very low birth weight.

Differences between protocol and review

See AlFaleh 2005 (review protocol).

In the 2023 update:

Contributions of authors

SS, NM, SJO, and WM contributed to the development of the protocol.
SS, SJO, and WM screened the search results.
SS, SJO, MXRR, and WM performed the risk of bias and GRADE assessments.
SS, NM, SJO, and WM undertook data extraction and analysis.
SJO and WM arbitrated inclusion and data extraction disagreements.
NM undertook analyses for small‐study bias.
SS, NM, SJO, MXRR, and WM contributed to the development of the final review and approved the final version to be published.

Sources of support

Internal sources

  • Centre for Reviews and Dissemination, University of York, UK

    Host department

  • Department of Clinical Epidemiology and Biostatistics. Faculty of Medicine. Pontificia Universidad Javeriana, Colombia

    Host department

External sources

  • Vermont Oxford Network, USA

    Cochrane Neonatal Reviews are produced with support from Vermont Oxford Network, a worldwide collaboration of health professionals dedicated to providing evidence‐based care of the highest quality for newborn infants and their families.

Declarations of interest

SS has no conflicts of interest to declare.
NM is Deputy Co‐ordinating Editor for Cochrane Common Mental Disorders but was not involved in the editorial process or decision‐making for this review.
SJO has no conflicts of interest to declare.
MXRR is an Associate Editor of Cochrane Neonatal but was not involved in the editorial process or decision‐making for this review.
WM is a Co‐ordinating Editor of Cochrane Neonatal but was not involved in the editorial process or decision‐making for this review.

New search for studies and content updated (no change to conclusions)

References

References to studies included in this review

Agarwal 2003 {published data only}

  1. Agarwal R, Sharma N, Chaudhry R, Deorari A, Paul VK, Gewolb IH, et al. Effects of oral Lactobacillus GG on enteric microflora in low-birth-weight neonates. Journal of Pediatric Gastroenterology and Nutrition 2003;36(3):397-402. [DOI: 10.1097/00005176-200303000-00019] [PMID: ] [DOI] [PubMed] [Google Scholar]

Al‐Hosni 2012 {published data only}

  1. Al-Hosni M, Duenas M, Hawk M, Stewart LA, Borghese RA, Cahoon M, et al. Probiotics-supplemented feeding in extremely low-birth-weight infants. Journal of Perinatology 2012;32(4):253-9. [DOI: 10.1038/jp.2011.51] [PMID: ] [DOI] [PubMed] [Google Scholar]
  2. Havranek T, Al-Hosni M, Armbrecht E. Probiotics supplementation increases intestinal blood flow velocity in extremely low birth weight preterm infants. Journal of Perinatology 2013;33(1):40-4. [DOI: 10.1038/jp.2012.37] [PMID: ] [DOI] [PubMed] [Google Scholar]

Alshaikh 2022 {published data only}

  1. Alshaikh B, Samara J, Moossavi S, Ferdous T, Soraisham A, Dersch-Mills D, et al. Multi-strain probiotics for extremely preterm infants: a randomized controlled trial. Pediatric Research 2022;92(6):1663-70. [DOI: 10.1038/s41390-022-02004-z] [PMID: ] [DOI] [PubMed] [Google Scholar]
  2. Samara J, Moossavi S, Alshaikh B, Ortega VA, Pettersen VK, Ferdous T, et al. Supplementation with a probiotic mixture accelerates gut microbiome maturation and reduces intestinal inflammation in extremely preterm infants. Cell Host & Microbe 2022;30(5):696-711. [DOI: 10.1016/j.chom.2022.04.005] [PMID: ] [DOI] [PubMed] [Google Scholar]

Bin‐Nun 2005 {published data only}

  1. Bin-Nun A, Bromiker R, Wilschanski M, Kaplan M, Rudensky B, Caplan M, et al. Oral probiotics prevent necrotizing enterocolitis in very low birth weight neonates. Journal of Pediatrics 2005;147(2):192-6. [DOI: 10.1016/j.jpeds.2005.03.054] [PMID: ] [DOI] [PubMed] [Google Scholar]

Braga 2011 {published data only}

  1. Braga TD, da Silva GA, Lira PI, Carvalho Lima M. Efficacy of Bifidobacterium breve and Lactobacillus casei oral supplementation on necrotizing enterocolitis in very-low-birth-weight preterm infants: a double-blind, randomized, controlled trial. American Journal of Clinical Nutrition 2011;93(1):81-6. [DOI: 10.3945/ajcn.2010.29799] [PMID: ] [DOI] [PubMed] [Google Scholar]

Chandrashekar 2018 {published data only}

  1. Chandrashekar GS, Shettigar S, Varghese TC. Role of probiotics in prevention of necrotizing enterocolitis in preterm neonates. Indian Journal of Child Health 2018;5(2):112-5. [DOI: 10.32677/IJCH.2018.v05.i02.010] [DOI] [Google Scholar]

Chowdhury 2016 {published data only}

  1. Chowdhury T, Ali MM, Hossain MM, Singh J, Yousuf AM, Yasmin F, et al. Efficacy of probiotics versus placebo in the prevention of necrotizing enterocolitis in preterm very low birth weight infants: a double-blind randomized controlled trial. Journal of the College of Physicians and Surgeons Pakistan 2016;26(9):770-4. [PMID: ] [PubMed] [Google Scholar]

Chrzanowska‐Liszewska 2012 {published data only}

  1. Chrzanowska-Liszewska D, Seliga-Siwecka J, Kornacka MK. The effect of Lactobacillus rhamnosus GG supplemented enteral feeding on the microbiotic flora of preterm infants-double blinded randomized control trial. Early Human Development 2012;88(1):57-60. [DOI: 10.1016/j.earlhumdev.2011.07.002] [PMID: ] [DOI] [PubMed] [Google Scholar]

Costalos 2003 {published data only}

  1. Costalos C, Skouteri V, Gounaris A, Sevastiadou S, Triandafilidou A, Ekonomidou C, et al. Enteral feeding of premature infants with Saccharomyces boulardii. Early Human Development 2003;74(2):89-96. [DOI: 10.1016/s0378-3782(03)00090-2] [PMID: ] [DOI] [PubMed] [Google Scholar]

Costeloe 2015 {published data only}

  1. Costeloe K, Hardy P, Juszczak E, Wilks M, Millar MR. Bifidobacterium breve BBG-001 in very preterm infants: a randomised controlled phase 3 trial. Lancet 2015;387(10019):649-60. [DOI: 10.1016/S0140-6736(15)01027-2] [PMID: ] [DOI] [PubMed] [Google Scholar]

Dani 2002 {published data only}

  1. Dani C, Biadaioli R, Bertini G, Martelli E, Rubaltelli FF. Probiotics feeding in prevention of urinary tract infection, bacterial sepsis and necrotizing enterocolitis in preterm infants. A prospective double-blind study. Biology of the Neonate 2002;82(2):103-8. [DOI: 10.1159/000063096] [PMID: ] [DOI] [PubMed] [Google Scholar]

Dashti 2014 {published data only}

  1. Dashti AS, Afjey SA, Basiry A, Shirvani F, Seifi K, Taheri ZM. Prophylactic probiotics for prevention of necrotizing enterocolitis (NEC) in low birth weight neonates. Archives of Pediatric Infectious Diseases 2014;1(4):174-9. [DOI: 10.5812/pedinfect.11603] [DOI] [Google Scholar]

Demirel 2013 {published data only}

  1. Demirel G, Erdeve O, Celik IH, Dilmen U. Saccharomyces boulardii for prevention of necrotizing enterocolitis in preterm infants: a randomized, controlled study. Acta Paediatrica 2013;102(12):e560-5. [DOI: 10.1111/apa.12416] [PMID: ] [DOI] [PubMed] [Google Scholar]

Dilli 2015 {published data only}

  1. Dilli D, Aydin B, Fettah ND, Ozyazıcı E, Beken S, Zenciroglu A, et al. The propre-save study: effects of probiotics and prebiotics alone or combined on necrotizing enterocolitis on very low birth weight infants. Journal of Pediatrics 2015;166(3):545-51. [DOI: 10.1016/j.jpeds.2014.12.004] [PMID: ] [DOI] [PubMed] [Google Scholar]

Dutta 2015 {published data only}

  1. Dutta S, Ray P, Narang A. Comparison of stool colonization in premature infants by three dose regimes of a probiotic combination: a randomized controlled trial. American Journal of Perinatology 2015;32(8):733-40. [DOI: 10.1055/s-0034-1395473] [PMID: ] [DOI] [PubMed] [Google Scholar]

Fernández‐Carrocera 2013 {published data only}

  1. Fernández-Carrocera LA, Solis-Herrera A, Cabanillas-Ayón M, Gallardo-Sarmiento RB, García-Pérez CS, Montaño-Rodríguez R, et al. Double-blind, randomised clinical assay to evaluate the efficacy of probiotics in preterm newborns weighing less than 1500 g in the prevention of necrotising enterocolitis. Archives of Diseases in Childhood. Fetal and Neonatal Edition 2013;98(1):F5-9. [DOI: 10.1136/archdischild-2011-300435] [PMID: ] [DOI] [PubMed] [Google Scholar]

Fujii 2006 {published data only}

  1. Fujii T, Ohtsuka Y, Lee T, Kudo T, Shoji H, Sato H, et al. Bifidobacterium breve enhances transforming growth factor beta1 signaling by regulating Smad7 expression in preterm infants. Journal of Pediatric Gastroenterology and Nutrition 2006;43(1):83-8. [DOI: 10.1097/01.mpg.0000228100.04702.f8] [PMID: ] [DOI] [PubMed] [Google Scholar]
  2. Li Y, Shimizu T, Hosaka A, Kaneko N, Ohtsuka Y, Yamashiro Y. Effects of bifidobacterium breve supplementation on intestinal flora of low birth weight infants. Pediatrics International 2004;46(5):509-15. [DOI: 10.1111/j.1442-200x.2004.01953.x] [PMID: ] [DOI] [PubMed] [Google Scholar]

Hariharan 2016 {published data only}

  1. Hariharan D, Balasubramanian L, Kannappan V, Veluswami G. Probiotic supplementation in VLBW preterm infants improves feeding tolerance and reduces risk of gram negative sepsis. In: Journal of Pediatric Gastroenterology and Nutrition. Vol. 62. 49th Annual Meeting of the European Society for Paediatric Gastroenterology, Hepatology and Nutrition, 2016:655.

Hays 2015 {published data only}

  1. Hays S, Jacquot A, Gauthier H, Kempf C, Beissel A, Pidoux O, et al. Probiotics and growth in preterm infants: a randomized controlled trial. Clinical Nutrition 2015;35(4):802-11. [DOI: 10.1016/j.clnu.2015.06.006] [PMID: ] [DOI] [PubMed] [Google Scholar]

Hernandez‐Enriquez 2016 {published data only}

  1. Hernandez-Enriquez NP, Rosas-Sumano AB, Monzoy-Ventre MA, Galicia-Flores L. Lactobacillus reuteri DSM 17938 in preventing necrotizing enterocolitis in preterm newborns. Pilot study of efficacy and safety [Lactobacillus reuteri DSM 17938 en la prevención de enterocolitis necrosante en recién nacidos prematuros. Estudio piloto de eficacia y seguridad]. Revista Mexicana de Pediatría 2016;83(2):37-43. [Google Scholar]

Hikaru 2010 {published data only}

  1. Hikaru U, Koichi S, Yayoi S, Hiromichi S, Hiroaki S, Yoshikazu O. Bifidobacteria prevents preterm infants from developing infection and sepsis. International Journal of Probiotics and Prebiotics 2010;5(1):33-6. [1555-1431] [Google Scholar]

Huang 2009 {published data only}

  1. Huang B, Yang H, Huang X. Probiotics supplementation for prevention of necrotizing enterocolitis in very low-birth-weight neonates: a randomized, controlled trial. Journal of Guangdong Medical College 2009;27:37-9. [Google Scholar]

Indrio 2017 {published data only}

  1. Indrio F, Riezzo G, Tafuri S, Ficarella M, Carlucci B, Bisceglia M, et al. Probiotic supplementation in preterm: feeding intolerance and hospital cost. Nutrients 2017;9(9):965. [DOI: 10.3390/nu9090965] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Jacobs 2013 {published data only}

  1. Jacobs SE, Tobin JM, Opie GF, Donath S, Tabrizi SN, Pirotta M, et al. Probiotic effects on late-onset sepsis in very preterm infants: a randomized controlled trial. Pediatrics 2013;132(6):1055-62. [DOI: 10.1542/peds.2013-1339] [PMID: ] [DOI] [PubMed] [Google Scholar]
  2. Plummer EL, Bulach DM, Murray GL, Jacobs SE, Tabrizi SN, Garland SM, ProPrems Study Group. Gut microbiota of preterm infants supplemented with probiotics: sub-study of the ProPrems trial. BMC Microbiology 2018;18(1):184. [DOI: 10.1186/s12866-018-1326-1] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Kanic 2015 {published data only}

  1. Kanic Z, Turk DM, Burja S, Kanic V, Dinevski D. Influence of a combination of probiotics on bacterial infections in very low birthweight newborns. Wiener Klinische Wochenschrift 2015;127:S210-5. [DOI: 10.1007/s00508-015-0845-0] [PMID: ] [DOI] [PubMed] [Google Scholar]

Kitajima 1997 {published data only}

  1. Kitajima H, Sumida Y, Tanaka R, Yuki N, Takayama H, Fujimura M. Early administration of Bifidobacterium breve to preterm infants: randomised controlled trial. Archives of Disease in Childhood. Fetal and Neonatal Edition 1997;76(2):F101-7. [DOI: 10.1136/fn.76.2.f101] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Li 2019 {published data only}

  1. Li YF, Zhu CR, Gong XL, Li HL, Xiong LK, Wang KJ, et al. Beneficial effects of probiotic treatment on gut microbiota in very low birth weight infants. Gastroenterology Research and Practice 2019;3682836:eCollection 2019. [DOI: 10.1155/2019/3682836] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Lin 2005 {published data only}

  1. Chou IC, Kuo HT, Chang JS, Wu SF, Chiu HY, Su BH, et al. Lack of effects of oral probiotics on growth and neurodevelopmental outcomes in preterm very low birth weight infants. Journal of Pediatrics 2010;156(3):393-6. [DOI: 10.1016/j.jpeds.2009.09.051] [PMID: ] [DOI] [PubMed] [Google Scholar]
  2. Lin HC, Su BH, Chen AC, Lin TW, Tsai CH, Yeh TF, et al. Oral probiotics reduce the incidence and severity of necrotizing enterocolitis in very low birth weight infants. Pediatrics 2005;115(1):1-4. [DOI: 10.1542/peds.2004-1463] [PMID: ] [DOI] [PubMed] [Google Scholar]

Lin 2008 {published data only}

  1. Lin HC, Hsu CH, Chen HL, Chung MY, Hsu JF, Lien RI, et al. Oral probiotics prevent necrotizing enterocolitis in very low birth weight preterm infants: a multicenter, randomized, controlled trial. Pediatrics 2008;122(4):693-700. [DOI: 10.1542/peds.2007-3007] [PMID: ] [DOI] [PubMed] [Google Scholar]

Manzoni 2006 {published data only}

  1. Manzoni P, Mostert M, Leonessa ML, Priolo C, Farina D, Monetti C, et al. Oral supplementation with Lactobacillus casei subspecies rhamnosus prevents enteric colonization by Candida species in preterm neonates: a randomized study. Clinical Infectious Diseases 2006;42(12):1735-42. [DOI: 10.1086/504324] [PMID: ] [DOI] [PubMed] [Google Scholar]

Manzoni 2009 {published data only}

  1. Manzoni P, Meyer M, Stolfi I, Rinaldi M, Cattani S, Pugni L, et al. Bovine lactoferrin supplementation for prevention of necrotizing enterocolitis in very-low-birth-weight neonates: a randomized clinical trial. Early Human Development 2014;90(Suppl 1):S60-5. [DOI: 10.1016/S0378-3782(14)70020-9] [PMID: ] [DOI] [PubMed] [Google Scholar]
  2. Manzoni P, Rinaldi M, Cattani S, Pugni L, Romeo MG, Messner H, et al, Italian Task Force for the Study and Prevention of Neonatal Fungal Infections, Italian Society of Neonatology. Bovine lactoferrin supplementation for prevention of late-onset sepsis in very low-birth-weight neonates: a randomized trial. JAMA 2009;302(13):1421-8. [DOI: 10.1001/jama.2009.1403] [PMID: ] [DOI] [PubMed] [Google Scholar]
  3. Manzoni P, Sánchez RG, Meyer M, Stolfi I, Pugni L, Messner H, et al, Italian Task Force for the Study, and Prevention of Neonatal Fungal Infections and the Italian Society of Neonatology. Exposure to gastric acid inhibitors increases the risk of infection in preterm very low birth weight infants but concomitant administration of lactoferrin counteracts this effect. Journal of Pediatrics 2018;193:62-7.e1. [DOI: 10.1016/j.jpeds.2017.09.080] [PMID: ] [DOI] [PubMed] [Google Scholar]

Matin 2022 {published data only}

  1. Matin M, Homayouni-Rad A, Mostafa-Gharehbaghi M, Mirghafourvand M, Mohammad-Alizadeh-Charandabi S. Maternal and infant probiotic administration for morbidity of very low birth weight infants: a three-arm randomized placebo-controlled trial. European Journal of Nutrition 2022;61(7):3637-48. [DOI: 10.1007/s00394-022-02905-z] [PMID: ] [DOI] [PubMed] [Google Scholar]

Mihatsch 2010 {published data only}

  1. Mihatsch WA, Vossbeck S, Eikmanns B, Hoegel J, Pohlandt F. Effect of Bifidobacterium lactis on the incidence of nosocomial infections in very-low-birth-weight infants: a randomized controlled trial. Neonatology 2010;98(2):156-63. [DOI: 10.1159/000280291] [PMID: ] [DOI] [PubMed] [Google Scholar]

Millar 1993 {published data only}

  1. Millar MR, Bacon C, Smith SL, Walker V, Hall MA. Enteral feeding of premature infants with Lactobacillus GG. Archives of Disease in Childhood 1993;69(5 Spec No):483-7. [DOI: 10.1136/adc.69.5_spec_no.483] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Stansbridge EM, Walker V, Hall MA, Smith SL, Millar MR, Bacon C, et al. Effects of feeding premature infants with Lactobacillus GG on gut fermentation. Archives of Disease in Childhood 1993;69(5 Spec No):488-92. [DOI: 10.1136/adc.69.5_spec_no.488] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Mohan 2006 {published and unpublished data}

  1. Mohan R, Koebnick C, Schildt J, Schmidt S, Mueller M, Possner M, et al. Effects of Bifidobacterium lactis Bb12 supplementation on intestinal microbiota of preterm infants: a double-blind, placebo-controlled, randomized study. Journal of Clinical Microbiology 2006;44(11):4025-31. [DOI: 10.1128/JCM.00767-06] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Moreno‐Sanz 2022 {published data only (unpublished sought but not used)}

  1. Moreno-Sanz B, Montes MT, Manzano S, Espinosa-Martos I, Cárdenas N, Esteban S, et al. Randomized, double-blind, placebo-controlled study to assess the effect of two probiotics on the preterms’ gut microbiota. Journal of Pediatric Gastroenterology and Nutrition 2022;74(6):e153-9. [DOI: 10.1097/MPG.0000000000003427] [PMID: ] [DOI] [PubMed] [Google Scholar]

Oncel 2014 {published data only}

  1. Akar M, Eras Z, Oncel MY, Arayici S, Guzoglu N, Canpolat FE, et al. Impact of oral probiotics on neurodevelopmental outcomes in preterm infants. Journal of Maternal-Fetal & Neonatal Medicine 2017;30(4):411-5. [DOI: 10.1080/14767058.2016.1174683] [PMID: ] [DOI] [PubMed] [Google Scholar]
  2. Oncel MY, Sari FN, Arayici S, Guzoglu N, Erdeve O, Uras N, et al. Lactobacillus reuteri for the prevention of necrotising enterocolitis in very low birth weight infants: a randomised controlled trial. Archives of Disease in Childhood Fetal & Neonatal Edition 2014;99(2):F110-5. [DOI: 10.1136/archdischild-2013-304745] [PMID: ] [DOI] [PubMed] [Google Scholar]

Oshiro 2019 {published data only}

  1. Oshiro T, Nagata S, Wang C, Takahashi T, Tsuji H, Asahara T, et al. Bifidobacterium supplementation of colostrum and breast milk enhances weight gain and metabolic responses associated with microbiota establishment in very-preterm infants. Biomedicine Hub 2019;4(3):1-10. [DOI: 10.1159/000502935] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Patole 2014 {published data only}

  1. Agrawal S, Pestell CF, Granich J, Rao S, Nathan E, Wray JA, et al. Difficulties in developmental follow-up of preterm neonates in a randomised-controlled trial of Bifidobacterium breve M16-V—Experience from Western Australia. Early Human Development 2020;151:105165. [DOI: 10.1016/j.earlhumdev.2020.105165] [PMID: ] [DOI] [PubMed] [Google Scholar]
  2. Patole S, Keil AD, Chang A, Nathan E, Doherty D, Simmer K, et al. Effect of Bifidobacterium breve M-16V supplementation on fecal bifidobacteria in preterm neonates - a randomised double blind placebo controlled trial. PLOS One 2014;9(3):e89511. [DOI: 10.1371/journal.pone.008951] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Rehman 2018 {published data only}

  1. Rehman SU, Iqbal A, Ali W. Role of probiotics in reducing frequency of necrotizing enterocolitis in preterm neonates. Pakistan Pediatric Journal 2018;42(3):171-6. [Google Scholar]

Ren 2010 {published data only}

  1. Ren B. Preventive effect of Bifidobacterium tetravaccine tablets in premature infants with necrotizing enterocolitis. Journal of Pediatric Pharmacy 2010;16(2):24-5. [Google Scholar]

Reuman 1986 {published data only}

  1. Reuman PD, Duckworth DH, Smith KL, Kagan R, Bucciarelli RL, Ayoub EM. Lack of effect of Lactobacillus on gastrointestinal bacterial colonization in premature infants. Pediatric Infectious Disease 1986;5(6):663-8. [DOI: 10.1097/00006454-198611000-00013] [PMID: ] [DOI] [PubMed] [Google Scholar]

Rougé 2009 {published data only}

  1. Rougé C, Piloquet H, Butel MJ, Berger B, Rochat F, Ferraris L, et al. Oral supplementation with probiotics in very low-birth-weight preterm infants: a randomized, double-blind, placebo-controlled trial. American Journal of Clinical Nutrition 2009;89(6):1828-35. [DOI: 10.3945/ajcn.2008.26919] [PMID: ] [DOI] [PubMed] [Google Scholar]

Roy 2014 {published data only}

  1. Roy A, Chaudhuri J, Sarkar D, Ghosh P, Chakraborty S. Role of enteric supplementation of probiotics on late-onset sepsis by Candida species in preterm low birth weight neonates: a randomized, double blind, placebo-controlled trial. North American Journal of Medical Sciences 2014;6(1):50-7. [DOI: 10.4103/1947-2714.125870] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Sadowska‐Krawczenko 2012 {published data only}

  1. Sadowska-Krawczenko IK, Polak P, Wietlicka-Piszcz A, Szajewska H. Lactobacilllus rhamnosus ATC A07FA for preventing necrotizing enterocolitis in very-low-birth-weight preterm infants: a randomized controlled trial (preliminary results) [Ocena skutecznoci Lactobacillus rhamnosus ATC A07FAw zapobieganiu martwiczego zapalenia jelit wczeniaków z bardzoma urodzeniow mas ciaa: badanie z randomizacj (wstpnewyniki)]. Polish Journal of Pediatrics 2012;87(2):139-45. [Google Scholar]

Saengtawesin 2014 {published data only}

  1. Saengtawesin V, Tangpolkaiwalsak R, Kanjanapattankul W. Effect of oral probiotics supplementation in the prevention of necrotizing enterocolitis among very low birth weight preterm infants. Journal of the Medical Association of Thailand 2014;97(Suppl 6):S20-5. [PMID: ] [PubMed] [Google Scholar]

Samanta 2009 {published data only}

  1. Samanta M, Sarkar M, Ghosh P, Ghosh JK, Sinha MK, Chatterjee S. Prophylactic probiotics for prevention of necrotizing enterocolitis in very low birth weight newborns. Journal of Tropical Pediatrics 2009;55(2):128-31. [DOI: 10.1093/tropej/fmn091] [PMID: ] [DOI] [PubMed] [Google Scholar]

Sari 2011 {published data only}

  1. Sari FN, Dizdar EA, Oguz S, Erdeve O, Uras N, Dilmen U. Oral probiotics: Lactobacillus sporogenes for prevention of necrotizing enterocolitis in very low-birth weight infants: a randomized, controlled trial. European Journal of Clinical Nutrition 2011;65(4):434-9. [DOI: 10.1038/ejcn.2010.278] [PMID: ] [DOI] [PubMed] [Google Scholar]
  2. Sari FN, Eras Z, Dizdar EA, Erdeve O, Oguz SS, Uras N, et al. Do oral probiotics affect growth and neurodevelopmental outcomes in very low-birth-weight preterm infants? American Journal of Perinatology 2012;29(8):579-86. [DOI: 10.1055/s-0032-1311981] [PMID: ] [DOI] [PubMed] [Google Scholar]

Serce 2013 {published data only}

  1. Serce O, Benzer D, Gursoy T, Karatekin G, Ovali F. Efficacy of saccharomyces boulardii on necrotizing enterocolitis or sepsis in very low birth weight infants: a randomised controlled trial. Early Human Development 2013;89(12):1033-6. [DOI: 10.1016/j.earlhumdev.2013.08.013] [PMID: ] [DOI] [PubMed] [Google Scholar]
  2. Serce O, Gursoy T, Ovali F, Karatekin G. Effects of Saccharomyces boulardii on neonatal hyperbilirubinemia: a randomized controlled trial. American Journal of Perinatology 2015;30(2):137-42. [DOI: 10.1055/s-0034-1376390] [PMID: ] [DOI] [PubMed] [Google Scholar]

Shadkam 2015 {published data only}

  1. Shadkam MN, Jalalizadeh F, Nasiriani K. Effects of probiotic lactobacillus reuteri (DSM 17938) on the incidence of necrotizing enterocolitis in very low birth weight premature infants. Iranian Journal of Neonatology 2015;6(4):15-20. [DOI: 10.22038/IJN.2015.6143] [DOI] [Google Scholar]

Shashidhar 2017 {published data only}

  1. Shashidhar A, Suman Rao PN, Nesargi S, Bhat S, Chandrakala BS. Probiotics for promoting feed tolerance in very low birth weight neonates – a randomized controlled trial. Indian Pediatrics 2017;54(5):363-7. [DOI: 10.1007/s13312-017-1106-2] [PMID: ] [DOI] [PubMed] [Google Scholar]

Sowden 2022 {published data only}

  1. Sowden M, Weissenbruch MM, Bulabula AN, Wyk L, Twisk J, Niekerk E. Effect of a multi-strain probiotic on the incidence and severity of necrotizing enterocolitis and feeding intolerances in preterm neonates. Nutrients 2022;14(16):3305. [DOI: 10.3390/nu14163305] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Stratiki 2007 {published data only}

  1. Stratiki Z, Costalos C, Sevastiadou S, Kastanidou O, Skouroliakou M, Giakoumatou A, et al. The effect of a bifidobacteria supplemented bovine milk on intestinal permeability of preterm infants. Early Human Development 2007;83(9):575-9. [DOI: 10.1016/j.earlhumdev.2006.12.002] [PMID: ] [DOI] [PubMed] [Google Scholar]

Strus 2018 {published data only}

  1. Strus M, Helwich E, Lauterbach R, Rzepecka-Węglarz B, Nowicka K, Wilińska M, et al. Effects of oral probiotic supplementation on gut Lactobacillus and Bifidobacterium populations and the clinical status of low-birth-weight preterm neonates: a multicenter randomized, double-blind, placebo-controlled trial. Infection and Drug Resistance 2018;11:1557-71. [DOI: 10.2147/IDR.S166348] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Tewari 2015 {published data only}

  1. Tewari VV, Dubey SK, Gupta G. Bacillus clausii for prevention of late-onset sepsis in preterm infants: a randomized controlled trial. Journal of Tropical Pediatrics 2015;61(5):377-85. [DOI: 10.1093/tropej/fmv050] [PMID: ] [DOI] [PubMed] [Google Scholar]

Totsu 2014 {published data only}

  1. Totsu S, Terahara M, Kusuda S. Probiotics and the development of very low birthweight infants: follow-up study of a randomised trial. BMJ Paediatrics Open 2018;2(1):e000256. [DOI: 10.1136/bmjpo-2018-000256] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Totsu S, Yamasaki C, Terahara M, Uchiyama A, Kusuda S, Probiotics Study Group in Japan. Bifidobacterium and enteral feeding in preterm infants: cluster-randomized trial. Pediatrics International 2014;56(5):714-9. [DOI: 10.1111/ped.12330] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Van Niekerk 2014 {published data only}

  1. Van Niekerk E, Kirsten GF, Nel DG, Blaauw R. Probiotics, feeding tolerance, and growth: a comparison between HIV-exposed and unexposed very low birth weight infants. Nutrition 2014;30(6):645-53. [DOI: 10.1016/j.nut.2013.10.024] [PMID: ] [DOI] [PubMed] [Google Scholar]

Wang 2007 {published data only}

  1. Wang C, Shoji H, Sato H, Nagata S, Ohtsuka Y, Shimizu T, et al. Effects of oral administration of bifidobacterium breve on fecal lactic acid and short-chain fatty acids in low birth weight infants. Journal of Pediatric Gastroenterology and Nutrition 2007;44(2):252-7. [DOI: 10.1097/01.mpg.0000252184.89922.5f] [PMID: ] [DOI] [PubMed] [Google Scholar]

Wejryd 2019 {published data only}

  1. Wejryd E, Marchini G, Frimmel V, Jonsson B, Abrahamsson T. Probiotics promoted head growth in extremely low birthweight infants in a double-blind placebo-controlled trial. Acta Paediatrica 2019;108(1):62-9. [DOI: 10.1111/apa.14497] [PMID: ] [DOI] [PubMed] [Google Scholar]

Zeber‐Lubecka 2016 {published data only}

  1. Zeber-Lubecka N, Kulecka M, Ambrozkiewicz F, Paziewska A, Lechowicz M, Konopka E, et al. Effect of Saccharomyces boulardii and mode of delivery on the early development of the gut microbial community in preterm infants. PLOS One 2016;11(2):e0150306. [DOI: 10.1371/journal.pone.0150306] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

References to studies excluded from this review

Ahmed 2022 {published data only}

  1. Ahmed N, Siddique T, Aftab M, Ashfaq Ahmed K, Mateen A, Bibi R. Effectiveness of oral probiotics in prevention of necrotizing enterocolitis in preterm infants. Journal of Pharmaceutical Research International 2022;34:1-5. [DOI: 10.9734/jpri/2022/v34i41A36268] [DOI] [Google Scholar]

Arora 2017 {published data only}

  1. Arora S, Khurana MS, Saini R. To study the role of probiotics in the prevention of necrotizing enterocolitis in preterm neonates. International Journal of Contemporary Pediatrics 2017;4(5):6. [DOI: 10.18203/2349-3291.ijcp20173787] [DOI] [Google Scholar]

Awad 2010 {published data only}

  1. Awad H, Mokhtar H, Imam SS, Gad GI, Hafez H, Aboushady N. Comparison between killed and living probiotic usage versus placebo for the prevention of necrotizing enterocolitis and sepsis in neonates. Pakistan Journal of Biological Sciences 2010;13(6):253-62. [DOI: 10.3923/pjbs.2010.253.262] [PMID: ] [DOI] [PubMed] [Google Scholar]

Chi 2019 {published data only}

  1. Chi C, Xue Y, Liu R, Wang Y, Lv N, Zeng H, et al. Effects of a formula with a probiotic Bifidobacterium lactis supplement on the gut microbiota of low birth weight infants. European Journal of Nutrition 2019;59(4):1493-503. [DOI: 10.1007/s00394-019-02006-4] [PMID: ] [DOI] [PubMed] [Google Scholar]

Dasopoulou 2015 {published data only}

  1. Dasopoulou M, Briana DD, Boutsikou T, Karakasidou E, Roma E, Costalos C, et al. Motilin and gastrin secretion and lipid profile in preterm neonates following prebiotics supplementation: a double-blind randomized controlled study. Journal of Parenteral and Enteral Nutrition 2015;39(3):359-68. [DOI: 10.1177/0148607113510182] [PMID: ] [DOI] [PubMed] [Google Scholar]

Deng 2010 {published data only}

  1. Deng J, Chen K. Early minimal feeding combined with probiotics to prevent necrotizing enterocolitis in preterm infant. Chinese Journal of Modern Drug Application 2010;4(6):13-4. [Google Scholar]

Denkel 2016 {published data only}

  1. Denkel LA, Schwab F, Garten L, Geffers C, Gastmeier P, Piening B. Protective effect of dual-strain probiotics in preterm infants: a multi-center time series analysis. PLOS One 2016;11(6):e0158136. [DOI: 10.1371/journal.pone.0158136] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Di 2010 {published data only}

  1. Di M, Li X. Effects of Bifidobacterium supplementation for prevention of necrotizing enterocolitis in preterm infants: a randomized, controlled trial. Zhong Guo She Qu Yi Shi 2010;231:69. [CENTRAL: CN-00921248] [Google Scholar]

Dongol‐Singh 2017 {published data only}

  1. Dongol Singh S, Klobassa DS, Resch B, Urlesberger B, Shrestha RP. Placebo controlled introduction of prophylactic supplementation of probiotics to decrease the incidence of necrotizing enterocolitis at Dhulikhel Hospital in Nepal. Kathmandu University Medical Journal 2017;15(60):319-23. [PMID: ] [PubMed] [Google Scholar]

Hua 2014 {published data only}

  1. Hua X-T, Tang J, Mu D-Z. Effect of oral administration of probiotics on intestinal colonization with drug resistant bacteria in preterm infants [口服益生菌对早产儿肠道耐药菌定植的影响]. Chinese Journal of Contemporary Pediatrics 2014;16(6):606-9. [PMID: ] [PubMed] [Google Scholar]

Hussain 2016 {published data only}

  1. Hussain M, Jabeen S, Subhani RU. Role of probiotics in prevention of necrotizing enterocolitis in preterm low birth weight neonates. Pakistan Journal of Medicine and Health Sciences 2016;10:455-9. [Google Scholar]

Ke 2008 {published data only}

  1. Ke D, Su Z, Li L. Effects of Bifido supplement for prevention of necrotizing enterocolitis in preterm infants: a randomized controlled trial. Chinese Pediatric Emergency Medicine 2008;12:69-71. [Google Scholar]

Koksal 2015 {published data only}

  1. Köksal N, Varal İ, Özkan H, Bagcı O, Doğan P. Effect of probiotic support on feeding intolerance and mortality at preterm infants. In: Journal of Perinatal Medicine. Vol. 43. 2015:P-0612.

Moles 2015 {published data only}

  1. Moles L, Escribano E, De Andres J, Montes MT, Rodriguez JM, Jimenez E, et al. Administration of Bifidobacterium breve PS12929 and Lactobacillus salivarius PS12934, two strains isolated from human milk, to very low and extremely low birth weight preterm infants: A pilot study. Journal of Immunology Research 2015;2015:538171. [DOI: 10.1155/2015/538171] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Partty 2013 {published data only}

  1. Partty A, Luoto R, Kalliomaki M, Salminen S, Isolauri E. Effects of early prebiotic and probiotic supplementation on development of gut microbiota and fussing and crying in preterm infants: a randomized, double-blind, placebo-controlled trial. Journal of Pediatrics 2013;163(5):1272-7. [DOI: 10.1016/j.jpeds.2013.05.035] [PMID: ] [DOI] [PubMed] [Google Scholar]

Qiao 2017 {published data only}

  1. Qiao LX, Zhu WY, Zhang HY, Wang H. Effect of early administration of probiotics on gut microflora and feeding in pre-term infants: a randomised controlled trial. Journal of Maternal-Fetal & Neonatal Medicine 2017;30(1):13-6. [DOI: 10.3109/14767058.2016.1163674] [PMID: ] [DOI] [PubMed] [Google Scholar]

Rojas 2012 {published data only}

  1. Rojas MA, Lozano JM, Rojas MX, Rodriguez VA, Rondon MA, Bastidas JA, et al. Prophylactic probiotics to prevent death and nosocomial infection in preterm infants. Pediatrics 2012;130(5):e1113-20. [DOI: 10.1542/peds.2011-3584] [PMID: ] [DOI] [PubMed] [Google Scholar]

Romeo 2011 {published data only}

  1. Romeo MG, Romeo DM, Trovato L, Oliveri S, Palermo F, Cota F, et al. Role of probiotics in the prevention of the enteric colonization by Candida in preterm newborns: incidence of late-onset sepsis and neurological outcome. Journal of Perinatology 2011;31(1):63-9. [DOI: 10.1038/jp.2010.57] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Shujie 2011 {published data only}

  1. Shujie Y, Haiying Y, Bin G, Shu X, Xianglan D, Jiang W. The clinical application value of endangered preterm infants given earlier amounts of micro feedings and adding probiotics. Journal of Pediatric Pharmacy 2011;17:21-4. [Google Scholar]

Sinha 2015 {published data only}

  1. Sinha A, Gupta SS, Chellani H, Maliye C, Kumari V, Arya S, et al. Role of probiotics VSL#3 in prevention of suspected sepsis in low birthweight infants in India: a randomised controlled trial. BMJ Open 2015;5(7):e006564. [DOI: 10.1136/bmjopen-2014-006564] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Thanhaeuser 2014 {published data only}

  1. Thanhaeuser M, Repa A, Weber M, Endress D, Kreissl A, Binder C, et al. Probiotics (infloran) for NEC prevention: influence of enteral nutrition. In: Archives of Disease in Childhood. 5th Congress of the European Academy of Paediatric Societies, EAPS 2014, Barcelona, Spain. Vol. 99. 2014:A176-7.

Uhlemann 1999 {published data only}

  1. Uhlemann M, Heine W, Mohr C, Plath C, Pap S. Effects of oral administration of bifidobacteria on intestinal microflora in premature and newborn infants. Zeitschrift fur Geburtshilfe und Neonatologie 1999;203(5):213-7. [PMID: ] [PubMed] [Google Scholar]

Underwood 2014 {published data only}

  1. Underwood MA, Kalanetra KM, Bokulich NA, Mirmiran M, Barile D, Tancredi DJ, et al. Prebiotic oligosaccharides in premature infants. Journal of Pediatric Gastroenterology and Nutrition 2014;58(3):352-60. [DOI: 10.1097/MPG.0000000000000211] [PMID: ] [DOI] [PubMed] [Google Scholar]

Xu 2016 {published data only}

  1. Xu L, Wang Y, Wang Y, Fu J, Sun M, Mao Z, et al. A double-blinded randomized trial on growth and feeding tolerance with Saccharomyces boulardii CNCMI-745 in formula-fed preterm infants. Jornal de Pediatria 2016;92(3):296-301. [DOI: 10.1016/j.jped.2015.08.013] [PMID: ] [DOI] [PubMed] [Google Scholar]

Zhou 2012 {published data only}

  1. Zhou N. The observation of effect of probiotics in the prevention of neonatal necrotizing enterocolitis. Chinese Journal of Ethnomedicine and Ethnopharmacy 2012;21:81. [Google Scholar]

Zhuang 2007 {published data only}

  1. Zhuang X-Y, Li X-Y, Gao X-X, Su L-D. Relative factors of neonatal necrotizing enterocolitis and preventive effect of microeco-preparation. Journal of Applied Clinical Pediatrics 2006;22:1392-3. [Google Scholar]

References to studies awaiting assessment

Coleta 2013 {published data only}

  1. Coleta E, Gheonea M, Sarbu M. Oral supplementation with probiotics in premature infants – a randomised clinical trial. In: Intensive Care Medicine. 24th Annual Meeting of the European Society of Paediatric and Neonatal Intensive Care edition. Vol. 39. Rotterdam, Netherlands, 2013:S113.

Kaban 2019 {published data only}

  1. Kaban RK, Hegar B, Rohsiswatmo R, Handryastuti S, Amelia N, Muktiarti D, et al. Lactobacillus reuteri DSM 17938 improves feeding intolerance in preterm infants. Pediatric Gastroenterology, Hepatology & Nutrition 2019;22(6):545-53. [DOI: 10.5223/pghn.2019.22.6.545] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Niazi 2021 {published data only}

  1. Niazi S, Saeed F, Tariq S, Farooq MA, Khan S, Akhter SF. Efficacy of probiotics to prevent necrotizing enterocolitis in low birth weight preterm neonates. The Professional Medical Journal 2021;28(3):328-32. [DOI: 10.29309/TPMJ/2021.28.03.5786] [DOI] [Google Scholar]

Punnahitananda 2006 {unpublished data only}ISRCTN39142169

  1. Punnahitananda S, Thaithumyanon P, Soongsawang K. Nosocomial infection and necrotizing enterocolitis in preterm neonates treated with Lactobacillus acidophilus and Bifidobacterium infantis in a neonatal intensive care unit: a randomized controlled study. In: 14th Congress of the Federation of Asia Oceania Perinatal Societies. Bangkok, Thailand, 2006.

Reznikov 2022 {published data only (unpublished sought but not used)}

  1. Reznikov E, Pippa M, Pak J, Riley R, Panigrahi P, Rubin L. Probiotic supplementation in very low birthweight infants: effects on systemic immunity and intestinal inflammation. Current Developments in Nutrition 2022;6(Suppl 1):706. [DOI: 10.1093/cdn/nzac061.090] [DOI] [Google Scholar]

References to ongoing studies

Marißen 2019 {published data only}

  1. Marißen J, Haiß A, Meyer C, Van Rossum T, Bünte LM, Frommhold D, et al, PRIMAL consortium. Efficacy of Bifidobacterium longum, B. infantis and Lactobacillus acidophilus probiotics to prevent gut dysbiosis in preterm infants of 28+0-32+6 weeks of gestation: a randomised, placebo-controlled, double-blind, multicentre trial: the PRIMAL Clinical Study protocol. BMJ Open 2019;9(11):e032617. [DOI: 10.1136/bmjopen-2019-032617] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

NCT00977912 {unpublished data only}

  1. NCT00977912. Necrotizing enterocolitis (Nec) and B. Lactis in premature babies [Prevention of NEC in preterm Infants with B. lactis]. clinicaltrials.gov/ct2/show/NCT00977912 (first received 16 September 2009).

NCT01181791 {unpublished data only}

  1. NCT01181791. Effects of Lactobacillus reuteri in premature infants (reuteri) [Pilot study to evaluate the effects of Lactobacillus reuteri in preterm newborns]. clinicaltrials.gov/ct2/show/NCT01181791 (first received 13 August 2010).

NCT01375309 {unpublished data only}

  1. NCT01375309. Bifidobacterium supplementation for very low birth weight infants (Bifido(RCT)) [Effect of bifidobacterium bifidum supplementation on morbidity of very low birth weight infants]. clinicaltrials.gov/ct2/show/NCT01375309 (first received 17 June 2011).

NCT04541771 {published data only}

  1. NCT04541771. The role of Lactobacillus reuteri in preventing necrotizing enterocolitis (NEC) in pre-term infants (NEC) [The role of Lactobacillus reuteri (L. reuteri) in preventing necrotizing enterocolitis (NEC) in pre-term infants less than 34 weeks of gestation]. clinicaltrials.gov/ct2/show/NCT04541771 (first received 9 September 2020).

Additional references

Abdulkadir 2016

  1. Abdulkadir B, Nelson A, Skeath T, Marrs EC, Perry JD, Cummings SP, et al. Routine use of probiotics in preterm infants: longitudinal impact on the microbiome and metabolome. Neonatology 2016;109(4):239-47. [DOI: 10.1159/000442936] [PMID: ] [DOI] [PubMed] [Google Scholar]

Alcon‐Giner 2020

  1. Alcon-Giner C, Dalby MJ, Caim S, Ketskemety J, Shaw A, Sim K, et al. Microbiota supplementation with Bifidobacterium and Lactobacillus modifies the preterm infant gut microbiota and metabolome: an observational study. Cell Reports Medicine 2020;1(5):100077. [DOI: 10.1016/j.xcrm.2020.100077] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Battersby 2018

  1. Battersby C, Santhalingam T, Costeloe K, Modi N. Incidence of neonatal necrotising enterocolitis in high-income countries: a systematic review. Archives of Disease in Childhood: Fetal & Neonatal Edition 2018;103(2):F182-9. [DOI: 10.1136/archdischild-2017-313880] [PMID: ] [DOI] [PubMed] [Google Scholar]

Berrington 2012

  1. Berrington JE, Hearn RI, Bythell M, Wright C, Embleton ND. Deaths in preterm infants: changing pathology over 2 decades. Journal of Pediatrics 2012;160(1):49-53. [DOI: 10.1016/j.jpeds.2011.06.046] [PMID: ] [DOI] [PubMed] [Google Scholar]

Berrington 2019

  1. Berrington JE, Zalewski S. The future of probiotics in the preterm infant. Early Human Development 2019;135:75-81. [DOI: 10.1016/j.earlhumdev.2019.05.008] [PMID: ] [DOI] [PubMed] [Google Scholar]

Bertelli 2015

  1. Bertelli C, Pillonel T, Torregrossa A, Prod'hom G, Fischer CJ, Greub G, et al. Bifidobacterium longum bacteremia in preterm infants receiving probiotics. Clinical Infectious Diseases 2015;60(6):924-7. [DOI: 10.1093/cid/ciu946] [PMID: ] [DOI] [PubMed] [Google Scholar]

Besselink 2008

  1. Besselink MG, Santvoort HC, Buskens E, Boermeester MA, Goor H, Timmerman HM, et al, Dutch Acute Pancreatitis Study Group. Probiotic prophylaxis in predicted severe acute pancreatitis: a randomised, double-blind, placebo-controlled trial. Lancet 2008;371(9613):651-9. [DOI: 10.1016/S0140-6736(08)60207-X] [PMID: ] [DOI] [PubMed] [Google Scholar]

Bi 2019

  1. Bi LW, Yan BL, Yang QY, Li MM, Cui HL. Which is the best probiotic treatment strategy to prevent the necrotizing enterocolitis in premature infants: a network meta-analysis revealing the efficacy and safety. Medicine 2019;98(41):e17521. [DOI: 10.1097/MD.0000000000017521] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Boyle 2006

  1. Boyle RJ, Robins-Browne RM, Tang ML. Probiotic use in clinical practice: what are the risks? American Journal of Clinical Nutrition 2006;83(6):1446-7. [DOI: 10.1093/ajcn/83.6.1256] [PMID: ] [DOI] [PubMed] [Google Scholar]

Bron 2017

  1. Bron PA, Kleerebezem M, Brummer R, Cani PD, Mercenier A, MacDonald TT, et al. Can probiotics modulate human disease by impacting intestinal barrier function? British Journal of Nutrition 2017;117(1):93-107. [DOI: 10.1017/S0007114516004037] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Cleminson 2015

  1. Cleminson J, Oddie S, Renfrew MJ, McGuire W. Being baby friendly: evidence-based breastfeeding support. Archives of Disease in Childhood: Fetal & Neonatal Edition 2015;100(2):F173-8. [DOI: 10.1136/archdischild-2013-304873] [PMID: ] [DOI] [PubMed] [Google Scholar]

Duffield 2019

  1. Duffield SD, Clarke P. Current use of probiotics to prevent necrotising enterocolitis. Archives of Disease in Childhood: Fetal & Neonatal Edition 2019;104(2):F228. [DOI: 10.1136/archdischild-2018-316199] [PMID: ] [DOI] [PubMed] [Google Scholar]

Eaton 2017

  1. Eaton S, Rees CM, Hall NJ. Current research on the epidemiology, pathogenesis, and management of necrotizing enterocolitis. Neonatology 2017;111(4):423-30. [DOI: 10.1159/000458462] [PMID: ] [DOI] [PubMed] [Google Scholar]

Embleton 2016

  1. Embleton ND, Zalewski S, Berrington JE. Probiotics for prevention of necrotizing enterocolitis and sepsis in preterm infants. Current Opinion in Infectious Diseases 2016;29(3):256-61. [DOI: 10.1097/QCO.0000000000000269] [PMID: ] [DOI] [PubMed] [Google Scholar]

Embleton 2017

  1. Embleton ND, Berrington JE, Dorling J, Ewer AK, Juszczak E, Kirby JA, et al. Mechanisms affecting the gut of preterm infants in enteral feeding trials. Frontiers in Nutrition 2017;4:14. [DOI: 10.3389/fnut.2017.00014] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Esaiassen 2016

  1. Esaiassen E, Cavanagh P, Hjerde E, Simonsen GS, Stoen R, Klingenberg C. Bifidobacterium longum subspecies infantis bacteremia in 3 extremely preterm infants receiving probiotics. Emerging Infectious Diseases 2016;22(9):1664-6. [DOI: 10.3201/eid2209.160033] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Fleming 2019

  1. Fleming PF, Berrington JE, Jacobs SE. Addressing safety concerns of probiotic use in preterm babies. Early Human Development 2019;135:72-4. [DOI: 10.1016/j.earlhumdev.2019.05.016] [PMID: ] [DOI] [PubMed] [Google Scholar]

Fleming 2022

  1. Fleming P. Is it time for routine probiotic use in UK neonatal units? Archives of Disease in Childhood: Fetal & Neonatal Edition 2022;107(4):344-5. [DOI: 10.1136/archdischild-2021-323091] [PMID: ] [DOI] [PubMed] [Google Scholar]

Gale 2020

  1. Gale C, McGuire W, Juszczak E. Randomised controlled trials for informing perinatal care. Neonatology 2020;117(1):8-14. [DOI: 10.1159/000499881] [PMID: ] [DOI] [PubMed] [Google Scholar]

Gephart 2020

  1. Gephart SM, Underwood MA, Rosito S, Kim JH, Caplan M. Grading the evidence to identify strategies to modify risk for necrotizing enterocolitis. Pediatric Research 2020;88(Suppl 1):41-7. [DOI: 10.1038/s41390-020-1079-z] [PMID: ] [DOI] [PubMed] [Google Scholar]

GRADEpro GDT [Computer program]

  1. GRADEpro GDT. Version accessed 8 Sept 2022. Hamilton (ON): McMaster University (developed by Evidence Prime), 2021. Available at gradepro.org.

Granger 2020

  1. Granger CL, Embleton ND, Palmer JM, Lamb CA, Berrington JE, Stewart CJ. Maternal breast milk, infant gut microbiome, and the impact on preterm infant health. Acta Paediatrica 2020;119(2):450-7. [DOI: 10.1111/apa.15534] [PMID: ] [DOI] [PubMed] [Google Scholar]

Harbord 2006

  1. Harbord RM, Egger M, Sterne JA. A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints. Statistics in Medicine 2006;25(20):3443-57. [DOI: 10.1002/sim.2380] [PMID: ] [DOI] [PubMed] [Google Scholar]

Hickey 2018

  1. Hickey M, Georgieff M, Ramel S. Neurodevelopmental outcomes following necrotizing enterocolitis. Seminars in Fetal and Neonatal Medicine 2018;23(6):426-32. [DOI: 10.1016/j.siny.2018.08.005] [PMID: ] [DOI] [PubMed] [Google Scholar]

Higgins 2011

  1. Higgins JP, Altman DG, Sterne JA: on behalf of the Cochrane Statistical Methods Group and the Cochrane Bias Methods Group. Chapter 8: Assessing risk of bias in included studies. In: Higgins JP, Green S, editor(s). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Available from training.cochrane.org/handbook/archive/v5.1/.

Higgins 2020

  1. Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al, editor(s). Cochrane Handbook for Systematic Reviews of Interventions Version 6.1 (updated September 2020). Cochrane, 2020. Available from training.cochrane.org/handbook/archive/v6.1.

Hopewell 2009

  1. Hopewell S, Loudon K, Clarke MJ, Oxman AD, Dickersin K. Publication bias in clinical trials due to statistical significance or direction of trial results. Cochrane Database of Systematic Reviews 2009, Issue 1. Art. No: MR000006. [DOI: 10.1002/14651858.MR000006.pub3] [DOI] [PMC free article] [PubMed] [Google Scholar]

Horbar 2012

  1. Horbar JH, Carpenter JH, Badger GJ, Kenny MJ, Soll RF, Morrow KA, et al. Mortality and neonatal morbidity among infants 501 to 1500 grams from 2000 to 2009. Pediatrics 2012;129(6):1019-26. [DOI: 10.1542/peds.2011-3028] [PMID: ] [DOI] [PubMed] [Google Scholar]

Jarrett 2019

  1. Jarrett P, Meczner A, Costeloe K, Fleming P. Historical aspects of probiotic use to prevent necrotising enterocolitis in preterm babies. Early Human Development 2019;135:51-7. [DOI: 10.1016/j.earlhumdev.2019.05.015] [PMID: ] [DOI] [PubMed] [Google Scholar]

Jenke 2012

  1. Jenke A, Ruf EM, Hoppe T, Heldmann M, Wirth S. Bifidobacterium septicaemia in an extremely low-birthweight infant under probiotic therapy. Archives of Disease in Childhood: Fetal & Neonatal Edition 2012;97(3):F217-8. [DOI: 10.1136/archdischild-2011-300838] [PMID: ] [DOI] [PubMed] [Google Scholar]

Johnson‐Henry 2016

  1. Johnson-Henry KC, Abrahamsson TR, Wu RY, Sherman PM. Probiotics, prebiotics, and synbiotics for the prevention of necrotizing enterocolitis. Advances in Nutrition 2016;7(5):928-37. [DOI: 10.3945/an.116.012237] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Koretz 2018

  1. Koretz RL. Probiotics in gastroenterology: h ow pro Is the evidence in adults? American Journal of Gastroenterology 2018;113(8):1125-36. [DOI: 10.1038/s41395-018-0138-0] [PMID: ] [DOI] [PubMed] [Google Scholar]

Kunk 2019

  1. Kunk D. Probiotics: elixir or empty promise. Lancet Gastroenterology & Hepatology 2019;4(2):81. [DOI: 10.1016/S2468-1253(18)30415-1] [PMID: ] [DOI] [PubMed] [Google Scholar]

Lerner 2019

  1. Lerner A, Shoenfeld Y, Matthias T. Probiotics: if it does not help it does not do any harm. Really? Microorganisms 2019;7(4):104. [DOI: 10.3390/microorganisms7040104] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Mara 2018

  1. Mara MA, Good M, Weitkamp JH. Innate and adaptive immunity in necrotizing enterocolitis. In: Seminars in Fetal and Neonatal Medicine. Vol. 23. Elsevier, 2018:394-9. [DOI: 10.1016/j.siny.2018.08.002] [DOI] [PMC free article] [PubMed]

Marchand 2012

  1. Marchand V, Canadian Paediatric Society, Nutrition and Gastroenterology Committee. Using probiotics in the paediatric population. Paediatrics and Child Health 2012;17(10):575-6. [DOI: 10.1093/pch/17.10.575] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Martin 2010

  1. Martin CR, Dammann O, Allred EN, Patel S, O'Shea TM, Kuban KC, et al. Neurodevelopment of extremely preterm infants who had necrotizing enterocolitis with or without late bacteremia. Journal of Pediatrics 2010;157(5):751-6. [DOI: 10.1016/j.jpeds.2010.05.042] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Masi 2019

  1. Masi AC, Stewart CJ. The role of the preterm intestinal microbiome in sepsis and necrotising enterocolitis. Early Human Development 2019;138:104854. [DOI: 10.1016/j.earlhumdev.2019.104854] [PMID: ] [DOI] [PubMed] [Google Scholar]

Millar 2012

  1. Millar M, Wilks M, Fleming P, Costeloe K. Should the use of probiotics in the preterm be routine? Archives of Disease in Childhood: Fetal & Neonatal Edition 2012;97(1):F70. [DOI: 10.1136/adc.2009.178939] [PMID: ] [DOI] [PubMed] [Google Scholar]

Morgan 2011

  1. Morgan JA, Young L, McGuire W. Pathogenesis and prevention of necrotizing enterocolitis. Current Opinion in Infectious Diseases 2011;24(3):183-9. [DOI: 10.1097/QCO.0b013e328345d5b5] [PMID: ] [DOI] [PubMed] [Google Scholar]

Morgan 2020

  1. Morgan RL, Preidis GA, Kashyap PC, Weizman AV, Sadeghirad B, McMaster Probiotic, Prebiotic, and Synbiotic Work Group. Probiotics reduce mortality and morbidity in preterm, low-birth-weight infants: a systematic review and network meta-analysis of randomized trials. Gastroenterology 2020;159(2):467-80. [DOI: 10.1053/j.gastro.2020.05.096] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Ohlsson 2020

  1. Ohlsson A, Lacy JB. Intravenous immunoglobulin for suspected or proven infection in neonates. Cochrane Database of Systematic Reviews 2020, Issue 1. Art. No: CD001239. [DOI: 10.1002/14651858.CD001239.pub6] [DOI] [PMC free article] [PubMed] [Google Scholar]

Olm 2019

  1. Olm MR, Bhattacharya N, Crits-Christoph A, Firek BA, Baker R, Song YS, et al. Necrotizing enterocolitis is preceded by increased gut bacterial replication, Klebsiella, and fimbriae-encoding bacteria. Science Advances 2019;5(12):eaax5727. [DOI: 10.1126/sciadv.aax5727] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Pammi 2020

  1. Pammi M, Suresh G. Enteral lactoferrin supplementation for prevention of sepsis and necrotizing enterocolitis in preterm infants. Cochrane Database of Systematic Reviews 2020, Issue 3. Art. No: CD007137. [DOI: 10.1002/14651858.CD007137.pub6] [DOI] [PMC free article] [PubMed] [Google Scholar]

Patel 2015

  1. Patel RM, Denning PW. Intestinal microbiota and its relationship with necrotising enterocolitis. Pediatric Research 2015;78(3):232-8. [DOI: 10.1038/pr.2015.97] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Patel 2018

  1. Patel RM, Underwood MA. Probiotics and necrotizing enterocolitis. Seminars in Pediatric Surgery 2018;27(1):39-46. [DOI: 10.1053/j.sempedsurg.2017.11.008] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Pell 2019

  1. Pell LG, Loutet MG, Roth DE, Sherman PM. Arguments against routine administration of probiotics for NEC prevention. Current Opinion in Pediatrics 2019;31(2):195-201. [DOI: 10.1097/MOP.0000000000000730] [PMID: ] [DOI] [PubMed] [Google Scholar]

Poindexter 2021

  1. Poindexter B, Committee on Fetus and Newborn. Use of probiotics in preterm infants. Pediatrics 2021;147(6):e2021051485 (Erratum in Pediatrics. 2021 Dec 1;148(6):e2021054370. doi: 10.1542/peds.2021-054370). [DOI: 10.1542/peds.2021-051485] [PMID: ] [DOI] [PubMed] [Google Scholar]

Quigley E 2019

  1. Quigley EM. Prebiotics and probiotics in digestive health. Clinical Gastroenterology and Hepatology 2019;17(2):333-44. [DOI: 10.1016/j.cgh.2018.09.028] [PMID: ] [DOI] [PubMed] [Google Scholar]

Quigley M 2019

  1. Quigley M, Embleton ND, McGuire W. Formula versus donor breast milk for feeding preterm or low birth weight infants. Cochrane Database of Systematic Reviews 2019, Issue 7. Art. No: CD002971. [DOI: 10.1002/14651858.CD002971.pub5] [DOI] [PMC free article] [PubMed] [Google Scholar]

Robertson 2020

  1. Robertson C, Savva GM, Clapuci R, Jones J, Maimouni H, Brown E, et al. Incidence of necrotising enterocolitis before and after introducing routine prophylactic Lactobacillus and Bifidobacterium probiotics. Archives of Disease in Childhood-Fetal and Neonatal Edition 2020;105(4):380-6. [DOI: 10.1136/archdischild-2019-317346] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Sakurai 2021

  1. Sakurai Y, Watanabe T, Miura Y, Uchida T, Suda N, Yoshida M, et al. Clinical and bacteriologic characteristics of six cases of bifidobacterium breve bacteremia due to probiotic administration in the neonatal intensive care unit. Pediatric Infectious Disease Journal 2021;41(1):62-5. [DOI: 10.1097/INF.0000000000003232] [PMID: ] [DOI] [PubMed] [Google Scholar]

Samuels 2017

  1. Samuels N, de Graaf RA, Jonge RC, Reiss IK, Vermeulen MJ. Risk factors for necrotizing enterocolitis in neonates: a systematic review of prognostic studies. BMC Pediatrics 2017;17(1):105. [DOI: 10.1186/s12887-017-0847-3] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Sanders 2019

  1. Sanders ME, Merenstein DJ, Reid G, Gibson GR, Rastall RA. Probiotics and prebiotics in intestinal health and disease: from biology to the clinic. Nature Reviews Gastroenterology & Hepatology 2019;16(10):605-16. [DOI: 10.1038/s41575-019-0173-3] [PMID: ] [DOI] [PubMed] [Google Scholar]

Schünemann 2013

  1. Schünemann H, Brożek J, Guyatt G, Oxman A, editor(s). Handbook for grading the quality of evidence and the strength of recommendations using the GRADE approach (updated October 2013). GRADE Working Group, 2013. Available from gdt.guidelinedevelopment.org/app/handbook/handbook.html.

Sesham 2014

  1. Sesham R, Oddie S, Embleton ND, Clarke P. Probiotics for preterm neonates: parents' perspectives and present prevalence. Archives of Disease in Childhood-Fetal and Neonatal Edition 2014;99(4):F345. [DOI: 10.1136/archdischild-2014-306344] [PMID: ] [DOI] [PubMed] [Google Scholar]

Stewart 2012

  1. Stewart CJ, Marrs EC, Magorrian S, Nelson A, Lanyon C, Perry JD, et al. The preterm gut microbiota: changes associated with necrotizing enterocolitis and infection. Acta Paediatrica 2012;101(11):1121-7. [DOI: 10.1111/j.1651-2227.2012.02801.x] [PMID: ] [DOI] [PubMed] [Google Scholar]

Stewart 2017

  1. Stewart CJ, Embleton ND, Marrs EC, Smith DP, Fofanova T, Nelson A, et al. Longitudinal development of the gut microbiome and metabolome in preterm neonates with late onset sepsis and healthy controls. Microbiome 2017;5(1):75. [DOI: 10.1186/s40168-017-0295-1] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Suez 2019

  1. Suez J, Zmora N, Segal E, Elinav E. The pros, cons, and many unknowns of probiotics. Nature Medicine 2019;25(5):716-29. [DOI: 10.1038/s41591-019-0439-x] [PMID: ] [DOI] [PubMed] [Google Scholar]

Thomas 2010

  1. Thomas DW, Greer FR, American Academy of Pediatrics Committee on Nutrition, American Academy of Pediatrics Section on Gastroenterology, Hepatology, and Nutrition. Probiotics and prebiotics in pediatrics. Pediatrics 2010;126(6):1217-31. [DOI: 10.1542/peds.2010-2548] [PMID: ] [DOI] [PubMed] [Google Scholar]

Tin 1998

  1. Tin W, Fritz S, Wariyar U, Hey E. Outcome of very preterm birth: children reviewed with ease at 2 years differ from those followed up with difficulty. Archives of Disease in Childhood: Fetal & Neonatal Edition 1998;79(2):F83-7. [DOI: 10.1136/fn.79.2.f83] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Underwood 2019

  1. Underwood MA. Probiotics and human milk oligosaccharides in premature infants. Neoreviews 2019;20(1):e1-1. [DOI: 10.1542/neo.20-1-e1] [PMID: ] [DOI] [PubMed] [Google Scholar]

van den Akker 2018

  1. den Akker CH, Goudoever JB, Szajewska H, Embleton ND, Hojsak I, Reid D, et al, ESPGHAN Working Group for Probiotics, Prebiotics & Committee on Nutrition. Probiotics for preterm infants: a strain-specific systematic review and network meta-analysis. Journal of Pediatric Gastroenterology and Nutrition 2018;67(1):103-22. [DOI: 10.1097/MPG.0000000000001897] [PMID: ] [DOI] [PubMed] [Google Scholar]

van den Akker 2020

  1. den Akker CH, Goudoever JB, Shamir R, Domellof M, Embleton ND, Hojsak I, et al. Probiotics and preterm infants: a position paper by the European Society for Paediatric Gastroenterology Hepatology and Nutrition Committee on Nutrition and the European Society for Paediatric Gastroenterology Hepatology and Nutrition Working Group for Probiotics and Prebiotics. Journal of Pediatric Gastroenterology and Nutrition 2020;70(5):664-80. [DOI: 10.1097/MPG.0000000000002655] [PMID: ] [DOI] [PubMed] [Google Scholar]

Vermeulen 2020

  1. Vermeulen MJ, Luijendijk A, Toledo L, Kaam AH, Reiss IK. Quality of probiotic products for preterm infants: contamination and missing strains. Acta Paediatrica 2020;109(2):276-9. [DOI: 10.1111/apa.14976] [PMID: ] [DOI] [PubMed] [Google Scholar]

Viswanathan 2016

  1. Viswanathan S, Lau C, Akbari H, Hoyen C, Walsh MC. Survey and evidence based review of probiotics used in very low birth weight preterm infants within the United States. Journal of Perinatology 2016;36(12):1106-11. [DOI: 10.1038/jp.2016.144] [PMID: ] [DOI] [PubMed] [Google Scholar]

VON 2020

  1. Vermont Oxford Network. Manual of Operations. Data Definitions & Infant Data Booklets 2020;Part 2 (Release 25.0).

Walsh 1986

  1. Walsh MC, Kliegman RM. Necrotizing enterocolitis: treatment based on staging criteria. Pediatric Clinics of North America 1986;33(1):179-201. [DOI: 10.1016/s0031-3955(16)34975-6] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Walsh 2019

  1. Walsh V, McGuire W. Immunonutrition for Preterm Infants. Neonatology 2019;115(4):398-405. [DOI: 10.1159/000497332] [PMID: ] [DOI] [PubMed] [Google Scholar]

Warner 2016

  1. Warner BB, Deych E, Zhou Y, Hall-Moore C, Weinstock GM, Sodergren E, et al. Gut bacteria dysbiosis and necrotising enterocolitis in very low birthweight infants: a prospective case-control study. Lancet 2016;387(10031):1928-36. [DOI: 10.1016/S0140-6736(16)00081-7] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Young 2011

  1. Young T, Hopewell S. Methods for obtaining unpublished data. Cochrane Database of Systematic Reviews 2011, Issue 11. Art. No: MR000027. [DOI: 10.1002/14651858.MR000027.pub2] [PMID: ] [DOI] [PMC free article] [PubMed] [Google Scholar]

Zbinden 2015

  1. Zbinden A, Zbinden R, Berger C, Arlettaz R. Case series of Bifidobacterium longum bacteremia in three preterm infants on probiotic therapy. Neonatology 2015;107(1):56-9. [DOI: 10.1159/000367985] [PMID: ] [DOI] [PubMed] [Google Scholar]

Zmora 2018

  1. Zmora N, Zilberman-Schapira G, Suez J, Mor U, Dori-Bachash M, Bashiardes S, et al. Personalized gut mucosal colonization resistance to empiric probiotics is associated with unique host and microbiome features. Cell 2018;174(6):1388-405. [DOI: 10.1016/j.cell.2018.08.041] [PMID: ] [DOI] [PubMed] [Google Scholar]

References to other published versions of this review

Al Faleh 2008

  1. Alfaleh K, Bassler D. Probiotics for prevention of necrotizing enterocolitis in preterm infants. Cochrane Database of Systematic Reviews 2008, Issue 1. Art. No: CD005496. [DOI: 10.1002/14651858.CD005496.pub2] [DOI] [PubMed] [Google Scholar]

Al Faleh 2011

  1. Alfaleh K, Anabrees J, Bassler D, Al-Kharfi T. Probiotics for prevention of necrotizing enterocolitis in preterm infants. Cochrane Database of Systematic Reviews 2011, Issue 3. Art. No: CD005496. [DOI: 10.1002/14651858.CD005496.pub3] [DOI] [PubMed] [Google Scholar]

Al Faleh 2014

  1. AlFaleh K, Anabrees J. Probiotics for prevention of necrotizing enterocolitis in preterm infants. Cochrane Database of Systematic Reviews 2014, Issue 4. Art. No: CD005496. [DOI: 10.1002/14651858.CD005496.pub4] [DOI] [PubMed] [Google Scholar]

AlFaleh 2005

  1. Al Faleh KM, Bassler D. Probiotics for prevention of mortality and morbidity in preterm infants. Cochrane Database of Systematic Reviews 2005, Issue 4. Art. No: CD005496. [DOI: 10.1002/14651858.CD005496] [DOI] [Google Scholar]

Articles from The Cochrane Database of Systematic Reviews are provided here courtesy of Wiley

RESOURCES