Evidence map›Paper›PMID 38585931›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Treatment Heterogeneity of Water, Sanitation, Hygiene, and Nutrition Interventions on Child Growth by Environmental Enteric Dysfunction and Pathogen Status for Young Children in Bangladesh.

Zachary Butzin-Dozier, Yunwen Ji, Jeremy Coyle, Ivana Malenica, Elizabeth T Rogawski McQuade, Jessica Anne Grembi, James A Platts-Mills, Eric R Houpt, Jay P Graham, Shahjahan Ali and 19 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors at 9 institutions in 3 countries.

Zachary Butzin-DozierSchool of Public Health, University of California, Berkeley, Berkeley, CA USA.ORCID 0000-0001-6419-0008
Yunwen JiSchool of Public Health, University of California, Berkeley, Berkeley, CA USA.
Jeremy CoyleSchool of Public Health, University of California, Berkeley, Berkeley, CA USA.
Ivana MalenicaSchool of Public Health, University of California, Berkeley, Berkeley, CA USA.
Elizabeth T Rogawski McQuadeRollins School of Public Health, Emory University, Atlanta, GA USA.ORCID 0000-0002-4942-3747
Jessica Anne GrembiDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA USA.
James A Platts-MillsSchool of Medicine, University of Virginia, Charlottesville, VA, USA.
Eric R HouptSchool of Medicine, University of Virginia, Charlottesville, VA, USA.
Jay P GrahamSchool of Public Health, University of California, Berkeley, Berkeley, CA USA.
Shahjahan AliInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.ORCID 0000-0003-3883-1208
Md Ziaur RahmanInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Mohammad AlauddinInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Syeda L FamidaInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Salma AktherInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Md Saheen HossenInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Palash MutsuddiInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Abul K ShoabInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Mahbubur RahmanInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.ORCID 0000-0003-0520-2683
Md Ohedul IslamInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Rana MiahInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Mami TaniuchiSchool of Medicine, University of Virginia, Charlottesville, VA, USA.
Jie LiuSchool of Public Health, Qingdao University, Qingdao, China.
Sarah AlauddinWagner College, Staten Island, NY USA.
Christine P StewartDepartment of Nutrition, University of California Davis, Davis, CA USA.ORCID 0000-0003-4575-8571
Stephen P LubyDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA USA.ORCID 0000-0001-5385-899X
John M ColfordSchool of Public Health, University of California, Berkeley, Berkeley, CA USA.
Alan E HubbardSchool of Public Health, University of California, Berkeley, Berkeley, CA USA.ORCID 0000-0002-3769-0127
Andrew N MertensSchool of Public Health, University of California, Berkeley, Berkeley, CA USA.ORCID 0000-0002-1050-6721
Audrie LinDepartment of Microbiology and Environmental Toxicology, University of California, Santa Cruz, Santa Cruz, CA USA.ORCID 0000-0002-3877-3469
International Centre for Diarrhoeal Disease Research · BDBerkeley Public Health Division · USUniversity of Virginia · USStanford University · USEmory University · USQingdao University · CNUniversity of California, Davis · USUniversity of California, Santa Cruz · USWagner College · US

Funding

A bench to population epidemiologic approach to investigating the effects of antenatal stress and inflammation on child gut inflammation, growth, and developmentK01AI136885 · NIAID · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI LIN, AUDRIE · 2019 to 2023
$648k
NIAID NIH HHS K01 AI136885
6 · The paper itself

Abstract

Background: Water, sanitation, hygiene (WSH), nutrition (N), and combined (N+WSH) interventions are often implemented by global health organizations, but WSH interventions may insufficiently reduce pathogen exposure, and nutrition interventions may be modified by environmental enteric dysfunction (EED), a condition of increased intestinal permeability and inflammation. This study investigated the heterogeneity of these treatments' effects based on individual pathogen and EED biomarker status with respect to child linear growth. Methods: We applied cross-validated targeted maximum likelihood estimation and super learner ensemble machine learning to assess the conditional treatment effects in subgroups defined by biomarker and pathogen status. We analyzed treatment (N+WSH, WSH, N, or control) randomly assigned in-utero, child pathogen and EED data at 14 months of age, and child LAZ at 28 months of age. We estimated the difference in mean child length for age Z-score (LAZ) under the treatment rule and the difference in stratified treatment effect (treatment effect difference) comparing children with high versus low pathogen/biomarker status while controlling for baseline covariates. Results: We analyzed data from 1,522 children, who had median LAZ of -1.56. We found that myeloperoxidase (N+WSH treatment effect difference 0.0007 LAZ, WSH treatment effect difference 0.1032 LAZ, N treatment effect difference 0.0037 LAZ) and Conclusions: These findings indicate that EED biomarker and pathogen status, particularly

Identifiers

PMID38585931
PMCPMC10996736
OpenAlexW4393202461

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.