Evidence map›Paper›PMID 24369738›Full record

SynthesisJournal of the International AIDS Society2013

Effects of postnatal interventions for the reduction of vertical HIV transmission on infant growth and non-HIV infections: a systematic review.

Moleen Zunza, Gareth D Mercer, Lehana Thabane, Monika Esser, Mark F Cotton

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of the International AIDS Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Moleen ZunzaDepartment of Paediatrics and Child Health, Children's Infectious Disease Clinical Research Unit, Stellenbosch University, Tygerberg, South Africa; moleenzunza@ymail.com.
Gareth D MercerMD/PhD Program, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Lehana ThabaneDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada; Biostatistics Unit/FSORC, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.
Monika EsserDepartment of Pathology, Immunology Unit, NHLS, Stellenbosch University, Tygerberg, South Africa.
Mark F CottonDepartment of Paediatrics and Child Health, Children's Infectious Disease Clinical Research Unit, Stellenbosch University, Tygerberg, South Africa.
Stellenbosch University · ZAMcMaster University · CAUniversity of British Columbia · CA

Funding

Canadian Institutes of Health ResearchPEPFARPHS HHS T84HA21652
6 · The paper itself

Abstract

introductionGuidelines in resource-poor settings have progressively included interventions to reduce postnatal HIV transmission through breast milk. In addition to HIV-free survival, infant growth and non-HIV infections should be considered. Determining the effect of these interventions on infant growth and non-HIV infections will inform healthcare decisions about feeding HIV-exposed infants. We synthesize findings from studies comparing breast to formula feeding, early weaning to standard-duration breastfeeding, breastfeeding with extended antiretroviral (ARV) to short-course ARV prophylaxis, and alternative preparations of infant formula to standard formula in HIV-exposed infants, focusing on infant growth and non-HIV infectious morbidity outcomes. The review objectives were to collate and appraise evidence of interventions to reduce postnatal vertical HIV transmission, and to estimate their effect on growth and non-HIV infections from birth to two years of age among HIV-exposed infants.

methodsWe searched PubMed, SCOPUS, and Cochrane CENTRAL Controlled Trials Register. We included randomized trials and prospective cohort studies. Two authors independently extracted data and evaluated risk of bias. Rate ratios and mean differences were used as effect measures for dichotomous and continuous outcomes, respectively. Where pooling was possible, we used fixed-effects meta-analysis to pool results across studies. Quality of evidence was assessed using the GRADE approach. RESULTS AND DISCUSSION: Prospective cohort studies comparing breast- versus formula-fed HIV-exposed infants found breastfeeding to be protective against diarrhoea in early life [risk ratio (RR)=0.31; 95% confidence interval (CI)=0.13 to 0.74]. The effect of breastfeeding against diarrhoea [hazard ratio (HR)=0.74; 95% CI=0.57 to 0.97] and respiratory infections (HR=0.65; 95% CI=0.41 to 1.00) was significant through two years of age. The only randomized controlled trial (RCT) available showed that breastfeeding tended to be protective against malnutrition (RR=0.63; 95% CI=0.36 to 1.12). We found no statistically significant differences in the rates of non-HIV infections or malnutrition between breast-fed infants in the extended and short-course ARV prophylaxis groups.

conclusionsLow to moderate quality evidence suggests breastfeeding may improve growth and non-HIV infection outcomes of HIV-exposed infants. Extended ARV prophylaxis does not appear to increase the risk for HIV-exposed infants for adverse growth or non-HIV infections compared to short-course ARV prophylaxis.

Indexed as

Anti-HIV AgentsBreast FeedingCohort StudiesHIV InfectionsHumansInfantInfant FormulaInfectious Disease Transmission, VerticalPostnatal CareProspective StudiesRandomized Controlled Trials as TopicAnti-HIV Agentsbreast milkchildrengrowthHIVnon-HIV infectionspostnatal interventions

Identifiers

PMID24369738
PMCPMC3871831
OpenAlexW2098605798

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.