Evidence map›Paper›PMID 34151953›Full record

ArticleInternational journal of epidemiology2022

Population intervention effects in observational studies to emulate target trial results: reconciling the effects of improved sanitation on child growth.

Elizabeth T Rogawski McQuade, Jade Benjamin-Chung, Daniel Westreich, Benjamin F Arnold

Abstract read
In one paragraph

Article in International journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

4 authors.

Elizabeth T Rogawski McQuadeDepartment of Public Health Sciences, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-4942-3747
Jade Benjamin-ChungDepartment of Epidemiology & Biostatistics, University of California, Berkeley, CA, USA.
Daniel WestreichDivision of Epidemiology, University of North Carolina-Chapel Hill, NC, USA.
Benjamin F ArnoldFrancis I. Proctor Foundation, University of California, San Francisco, CA, USA.

Funding

New Serological Measures of Infectious Disease Transmission IntensityK01AI119180 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ARNOLD, BENJAMIN F · 2015 to 2019
$709k
Translation of epidemiologic findings in enteric disease to public health actionK01AI130326 · NIAID · UNIVERSITY OF VIRGINIA · PI ROGAWSKI MCQUADE, ELIZABETH TACKET · 2018 to 2022
$612k
Measuring spillover effects of reactive, focal malaria elimination interventionsK01AI141616 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI BENJAMIN-CHUNG, JADE · 2019 to 2022
$601k
NIAID NIH HHS K01 AI119180NIAID NIH HHS K01 AI130326NIAID NIH HHS K01 AI141616
6 · The paper itself

Abstract

backgroundImproved sanitation has been associated with improved child growth in observational studies, but multiple randomized trials that delivered improved sanitation found no effect on child growth. We assessed to what extent differences in the effect estimated in the two study designs (the effect of treatment in observational studies and the effect of treatment assignment in trials) could explain the contradictory results.

methodsWe used parametric g-computation in five prospective studies (n = 21 524) and 59 cross-sectional Demographic and Health Surveys (DHS; n = 158 439). We compared the average treatment effect (ATE) for improved sanitation on mean length-for-age z-score (LAZ) among children aged <2 years to population intervention effects (PIEs), which are the observational analogue of the effect estimated in trials in which some participants are already exposed.

resultsThe ATE was >0.15 z-scores, a clinically meaningful difference, in most prospective studies but in <20% of DHS surveys. The PIE was always smaller than the ATE, and the magnitude of difference depended on the baseline prevalence of the improved sanitation. Interventions with suboptimal coverage and interventions delivered in populations with higher mean LAZ had a smaller effect on population-level LAZ.

conclusionsEstimates of PIEs corresponding to anticipated trial results were often smaller than clinically meaningful effects. Incongruence between observational associations and null trial results may in part be explained by expected differences between the effects estimated. Using observational ATEs to set expectations for trials may overestimate the impact that sanitation interventions can achieve. PIEs predict realistic effects and should be more routinely estimated.

Indexed as

FamilySanitationChildChild, PreschoolCross-Sectional StudiesGrowth DisordersHumansInfantPrevalenceProspective Studieschild growthg-computationpopulation intervention effectsSanitationstunting

Identifiers

PMID34151953
PMCPMC8856000

What OpenQuestion holds

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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.