Evidence map›Paper›PMID 25742244›Full record

Observational studyThe Pediatric infectious disease journal2015

The effect of early life antibiotic exposures on diarrheal rates among young children in Vellore, India.

Elizabeth T Rogawski, Daniel Westreich, Sylvia Becker-Dreps, Linda S Adair, Robert S Sandler, Rajiv Sarkar, Deepthi Kattula, Honorine D Ward, Steven R Meshnick, Gagandeep Kang

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The Pediatric infectious disease journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
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  5. Article
  6. Exclusive Breastfeeding and Childhood Morbidity: A Narrative Review.International journal of environmental research and public health · 2022
    Review
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  10. Observational
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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

10 authors at 4 institutions in 2 countries.

Elizabeth T RogawskiFrom the *Department of Epidemiology, †Department of Family Medicine, ‡Department of Nutrition, §Department of Medicine, UNC-Chapel Hill, North Carolina; ¶Division of Gastrointestinal Sciences, Christian Medical College, Vellore, India; and ‖Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts.
Daniel Westreich
Sylvia Becker-Dreps
Linda S Adair
Robert S Sandler
Rajiv Sarkar
Deepthi Kattula
Honorine D Ward
Steven R Meshnick
Gagandeep Kang
Christian Medical College & Hospital · INUniversity of North Carolina Health Care · USTufts Medical Center · USUniversity of North Carolina at Chapel Hill · US

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Training in Infectious Disease Epidemiology (TIDE)T32AI070114 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Brian W Pence · 2007 to 2026
$4.0M
Immune Response to Cryptosporidiosis in a Birth Cohorot of Children of South IndiR01AI072222 · NIAID · TUFTS MEDICAL CENTER · PI WARD, HONORINE D · 2008 to 2012
$3.1M
Multi-disciplinary research training in enteric infectionsD43TW007392 · FIC · CHRISTIAN MEDICAL COLLEGE · PI KANG, GAGANDEEP · 2005 to 2020
$2.9M
From patients to policy: innovative epidemiology for implementation scienceDP2HD084070 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WESTREICH, DANIEL J · 2014 to 2014
$2.3M
Simple interventions to Improve Rotavirus Vaccine Effectiveness (SIRVE)R56AI108515 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BECKER-DREPS, SYLVIA IRENE · 2014 to 2014
$478k
FIC NIH HHS D43 TW007392FIC NIH HHS D43-TW007392NIAID NIH HHS 5-R01-AI072222NIAID NIH HHS 5-T32-AI070114-08NIAID NIH HHS R01 AI072222NIAID NIH HHS R56 AI108515NIAID NIH HHS T32 AI070114NICHD NIH HHS DP2 HD084070NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

backgroundAntibiotic treatment of childhood illnesses is common in India. In addition to contributing to antimicrobial resistance, antibiotics might result in increased susceptibility to diarrhea through interactions with the gastrointestinal microbiota. Breast milk, which enriches the microbiota early in life, may increase the resilience of the microbiota against perturbations by antibiotics.

methodsIn a prospective observational cohort study, we assessed whether antibiotic exposures from birth to 6 months affected rates of diarrhea up to age 3 years among 465 children from Vellore, India. Adjusting for treatment indicators, we modeled diarrheal rates among children exposed and unexposed to antibiotics using negative binomial regression. We further assessed whether the effect of antibiotics on diarrheal rates was modified by exclusive breastfeeding at 6 months.

resultsMore than half of the children (n = 267, 57.4%) were given at least one course of antibiotics in the first 6 months of life. The adjusted relative incidence rate of diarrhea was 33% higher among children who received antibiotics under 6 months of age compared with those who did not (incidence rate ratio: 1.33, 95% confidence interval: 1.12, 1.57). Children who were exclusively breastfed until 6 months of age did not have increased diarrheal rates following antibiotic use.

conclusionsAntibiotic exposures early in life were associated with increased rates of diarrhea in early childhood. Exclusive breastfeeding might protect against this negative impact.

Indexed as

Drug UtilizationAnti-Bacterial AgentsBreast FeedingChild, PreschoolCohort StudiesDiarrheaFemaleHumansIncidenceIndiaInfantInfant, NewbornMaleProspective StudiesAnti-Bacterial Agents

Identifiers

PMID25742244
PMCPMC4431927
OpenAlexW2406378120

What OpenQuestion holds

Textmetadata
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.