Evidence map›Paper›PMID 25929259›Full record

Observational studyInternational journal of epidemiology2015

Antibiotic treatment of diarrhoea is associated with decreased time to the next diarrhoea episode among young children in Vellore, India.

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

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in International journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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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 3 institutions in 2 countries.

Elizabeth T RogawskiDepartment of Epidemiology, rogawski@unc.edu.
Daniel J WestreichDepartment of Epidemiology.
Sylvia Becker-DrepsDepartment of Family Medicine.
Linda S AdairDepartment of Nutrition, and.
Robert S SandlerDepartment of Epidemiology, Department of Medicine, University of North Carolina - Chapel Hill, NC, USA.
Rajiv SarkarDivision of Gastrointestinal Sciences, Christian Medical College, Vellore, India and.
Deepthi KattulaDivision of Gastrointestinal Sciences, Christian Medical College, Vellore, India and.
Honorine D WardDivision of Gastrointestinal Sciences, Christian Medical College, Vellore, India and Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, MA, USA.
Steven R MeshnickDepartment of Epidemiology.
Gagandeep KangDivision of Gastrointestinal Sciences, Christian Medical College, Vellore, India and.
Christian Medical College & Hospital · INTufts 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
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 T32 AI070114NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

backgroundAntibiotics are commonly given for the treatment of childhood diarrhoea, but are not indicated in most cases. Antibiotics modify the gastrointestinal microbiota, which may have unanticipated effects on the risk of subsequent diarrhoea.

methodsIn a prospective observational cohort study, we assessed the effect of caregiver-reported antibiotic treatment for diarrhoea on the timing of a child's next episode among 434 children followed from birth to 3 years of age in Vellore, India. We estimated median time differences and time ratios from inverse probability of exposure-weighted Kaplan-Meier curves for the time to next diarrhoea episode, comparing children who did and did not receive antibiotics for the previous episode.

resultsStudy children had more than five diarrhoea episodes on average in the first 3 years of life, and more than a quarter of all episodes were treated with antibiotics. Children who received antibiotics for their first diarrhoea episode had their second episode on average 8 weeks earlier (median time difference: -8, 95% confidence interval: -10, -3) than children who did not receive antibiotics. The effects of antibiotics on subsequent diarrhoea were greatest at earlier episodes and younger ages, and cefixime had a slightly larger effect compared with cotrimoxazole.

conclusionsAntibiotic treatment of diarrhoea was associated with reduced time to a subsequent diarrhoea episode, especially among younger infants. Whereas rational use of antibiotics has been advocated to reduce antimicrobial resistance in populations, we show that overuse of antibiotics may also have a direct adverse effect on individual patients.

Indexed as

Anti-Bacterial AgentsCefiximeChild, PreschoolDiarrheaFemaleHumansIndiaInfantInfant, NewbornKaplan-Meier EstimateLogistic ModelsMaleProspective StudiesRecurrenceSeverity of Illness IndexTime-to-TreatmentAnti-Bacterial AgentsCefiximeTrimethoprim, Sulfamethoxazole Drug CombinationantibioticsDiarrhoeaIndiainverse probability weightingKaplan-Meier survival curvestime differences

Identifiers

PMID25929259
PMCPMC4607743
OpenAlexW2108969544

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.