Evidence map›Paper›PMID 29972023›Full record

ArticleEnvironmental science & technology2018

Toward Capturing the Exposome: Exposure Biomarker Variability and Coexposure Patterns in the Shared Environment.

Ming Kei Chung, Kurunthachalam Kannan, Germaine M Louis, Chirag J Patel

Abstract read
In one paragraph

Article in Environmental science & technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

4 authors.

Ming Kei ChungDepartment of Biomedical Informatics, Harvard Medical School , Harvard University , 10 Shattuck Street , Boston , Massachusetts 02115 , United States.
Kurunthachalam KannanDivision of Environmental Health Sciences Wadsworth Center, New York State Department of Health, and Department of Environmental Health Sciences , The University at Albany , Albany , New York 12201 , United States.ORCID 0000-0002-1926-7456
Germaine M LouisOffice of the Director, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute for Child Health and Human Development , The National Institutes of Health , 6710b Rockledge Drive , Bethesda , Maryland 20892 , United States.
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School , Harvard University , 10 Shattuck Street , Boston , Massachusetts 02115 , United States.ORCID 0000-0002-8756-8525

Funding

Data-driven identification of environmental factors in cardiovascular diseaseR00ES023504 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2016 to 2018
$728k
Increasing the power of GxE detection by using multi-locus genome-wide predictorsR21ES025052 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2015 to 2017
$434k
Data-driven identification of environmental factors in cardiovascular diseaseK99ES023504 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2014 to 2015
$245k
NIEHS NIH HHS K99 ES023504NIEHS NIH HHS R00 ES023504NIEHS NIH HHS R21 ES025052
6 · The paper itself

Abstract

Many factors affect the variation in the exposome. We examined the influence of shared household and partner's sex in relation to the variation in 128 endocrine disrupting chemical (EDC) exposures among couples. In a cohort comprising of 501 couples trying for pregnancy, we measured 128 (13 chemical classes) persistent and nonpersistent EDCs and estimated 1) sex-specific differences; 2) variance explained by shared household; and 3) Spearman's rank correlation coefficients ( r

Indexed as

BiomarkersCohort StudiesFemaleHumansMalePregnancyBiomarkers

Identifiers

PMID29972023
PMCPMC6085725

What OpenQuestion holds

Textmetadata
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.