Evidence map›Paper›PMID 33778354›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2020

A hierarchical model for estimating the exposure-response curve by combining multiple studies of acute lower respiratory infections in children and household fine particulate matter air pollution.

Joshua P Keller, Joanne Katz, Amod K Pokhrel, Michael N Bates, James Tielsch, Scott L Zeger

Open access · goldAbstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 14 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

6 authors at 4 institutions in 1 country.

Joshua P KellerDepartment of Statistics, Colorado State University, Fort Collins, Colorado.
Joanne KatzDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Amod K PokhrelDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California.
Michael N BatesDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California.
James TielschDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia.
Scott L ZegerDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Johns Hopkins University · USUniversity of California, Berkeley · USColorado State University · USMilken Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adverse health effects of household air pollution, including acute lower respiratory infections (ALRIs), pose a major health burden around the world, particularly in settings where indoor combustion stoves are used for cooking. Individual studies have limited exposure ranges and sample sizes, while pooling studies together can improve statistical power.

methodsWe present hierarchical models for estimating long-term exposure concentrations and estimating a common exposure-response curve. The exposure concentration model combines temporally sparse, clustered longitudinal observations to estimate household-specific long-term average concentrations. The exposure-response model provides a flexible, semiparametric estimate of the exposure-response relationship while accommodating heterogeneous clustered data from multiple studies. We apply these models to three studies of fine particulate matter (PM

resultsThe estimated long-term PM

conclusionsThese flexible models can accommodate additional studies and be applied to other exposures and outcomes. The studies from Nepal provides evidence of a nonlinear exposure-response curve that flattens at higher concentrations.

Indexed as

BayesianExposure-response curveHierarchical modelsHousehold air pollutionMeasurement errorParticulate matter

Identifiers

PMID33778354
PMCPMC7941787
OpenAlexW3107423966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.