Evidence map›Paper›PMID 29155925›Full record

ArticleAmerican journal of epidemiology2018

Invited Commentary: Exposure Biomarkers Indicate More Than Just Exposure.

David A Savitz, Gregory A Wellenius

Abstract readComment
PubMed Publisher
In one paragraph

Article in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Consequential (and inconsequential) environmental epidemiology.Environmental epidemiology (Philadelphia, Pa.) · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

David A SavitzDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Gregory A WelleniusDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers of environmental exposures have notable strengths in integrating information across diverse sources and routes of exposure and providing a marker reflecting biological dose. However, the physiological determinants of biomarker toxicokinetics and measured levels may also affect or be affected by disease determinants and thus introduce confounding. In a study published in this issue of the Journal, Sagiv et al. (Am J Epidemiol. 2018;187(4):793-802) sought empirical evidence on the role of renal clearance in biasing the association between perfluoroalkyl compounds measured in plasma during pregnancy and infant birth weight. They found little empirical support for such bias. The risk of such bias is greater when the exposure and health outcome are assessed closely in time, when physiological differences are large relative to variability in environmental levels, and when the physiological determinant has diverse functions and implications. While empirical examination has value, the potential bias is difficult to measure and control when the underlying associations among exposure biomarker, health outcome, and physiological determinant are weak.

Indexed as

FluorocarbonsBiasBiomarkersEnvironmental ExposureFemaleHemodynamicsHumansPregnancyBiomarkersFluorocarbons

Identifiers

PMID29155925

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.