Evidence map›Paper›PMID 31069725›Full record

ReviewCurrent environmental health reports2019

Complex Mixtures, Complex Analyses: an Emphasis on Interpretable Results.

Elizabeth A Gibson, Jeff Goldsmith, Marianthi-Anna Kioumourtzoglou

Abstract readReview
In one paragraph

Review in Current environmental health reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Mixture of organic pollutants is associated with cognitive aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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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

3 authors.

Elizabeth A GibsonDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032, USA.
Jeff GoldsmithDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Marianthi-Anna KioumourtzoglouDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032, USA. mk3961@cumc.columbia.edu.

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
Principal Component Pursuit to Assess Exposure to Environmental Mixtures in Epidemiologic StudiesR01ES028805 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2018 to 2021
$2.2M
Complex Mixtures of Endocrine Disrupting Chemicals in Relation to Cognitive DevelopmentF31ES030263 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GIBSON, ELIZABETH ATKESON · 2019 to 2021
$75k
NIEHS NIH HHS F31 ES030263NIEHS NIH HHS P30 ES009089NIEHS NIH HHS R01 ES028805NIEHS NIH HHS T32 ES007322
6 · The paper itself

Abstract

purpose of reviewThe purpose of this review is to outline the main questions in environmental mixtures research and provide a non-technical explanation of novel or advanced methods to answer these questions. RECENT

findingsMachine learning techniques are now being incorporated into environmental mixture research to overcome issues with traditional methods. Though some methods perform well on specific tasks, no method consistently outperforms all others in complex mixture analyses, largely because different methods were developed to answer different research questions. We discuss four main questions in environmental mixtures research: (1) Are there specific exposure patterns in the study population? (2) Which are the toxic agents in the mixture? (3) Are mixture members acting synergistically? And, (4) what is the overall effect of the mixture? We emphasize the importance of robust methods and interpretable results over predictive accuracy. We encourage collaboration with computer scientists, data scientists, and biostatisticians in future mixture method development.

Indexed as

Complex MixturesEnvironmental ExposureEnvironmental PollutantsHumansComplex MixturesEnvironmental PollutantsBayesian statisticsDimension reductionEnvironmental mixturesMulti-pollutantVariable selection

Identifiers

PMID31069725
PMCPMC6693349

What OpenQuestion holds

Textmetadata
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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.