Evidence map›Paper›PMID 33546139›Full record

ArticleInternational journal of environmental research and public health2021

Bayesian Weighted Sums: A Flexible Approach to Estimate Summed Mixture Effects.

Ghassan B Hamra, Richard F Maclehose, Lisa Croen, Elizabeth M Kauffman, Craig Newschaffer

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

11 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

5 authors at 4 institutions in 1 country.

Ghassan B HamraDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Richard F MaclehoseDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN 55455, USA.
Lisa CroenDivision of Research, Kaiser Permanente, Oakland, CA 94612, USA.
Elizabeth M KauffmanAJ Drexel Autism Institute, Drexel University, Philadelphia, PA 19104, USA.
Craig NewschafferDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Johns Hopkins University · USDrexel University · USKaiser Permanente · USUniversity of Minnesota · US

Funding

Prenatal Exposure to Endocrine Disrupting Chemical Mixtures and ASD RiskR01ES026903 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEWSCHAFFER, CRAIG J · 2017 to 2020
$1.4M
NIEHS NIH HHS R01 ES026903
6 · The paper itself

Abstract

objectivesMethods exist to study exposure mixtures, but each is distinct in the research question it aims to address. We propose a new approach focused on estimating both the summed effect and individual weights of one or multiple exposure mixtures: Bayesian Weighted Sums (BWS).

methodsWe applied BWS to simulated and real datasets with correlated exposures. The analytic context in our real-world example is an estimation of the association between polybrominated diphenyl ether (PBDE) congeners (28, 47, 99, 100, and 153) and Autism Spectrum Disorder (ASD) diagnosis and Social Responsiveness Scores (SRS).

resultsSimulations demonstrate that BWS performs reliably. In adjusted models using Early Autism Risk Longitudinal Investigation (EARLI) data, the odds of ASD for a 1-unit increase in the weighted sum of PBDEs were 1.41 (95% highest posterior density 0.82, 2.50) times the odds of ASD for the unexposed and the change in z-score standardized SRS per 1 unit increase in the weighted sum of PBDEs is 0.15 (95% highest posterior density -0.08, 0.38).

conclusionsBWS provides a means of estimating the summed effect and weights for individual components of a mixture. This approach is distinct from other exposure mixture tools. BWS may be more flexible than existing approaches and can be specified to allow multiple exposure groups based on a priori knowledge from epidemiology or toxicology.

Indexed as

Autism Spectrum DisorderAutistic DisorderBayes TheoremHalogenated Diphenyl EthersHumansHalogenated Diphenyl EthersBayesian methodsmixturesneurodevelopmentPBDEs

Identifiers

PMID33546139
PMCPMC7913173
OpenAlexW3128443542

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.