Evidence map›Paper›PMID 33617867›Full record

SynthesisEnvironmental research2021

Temporal exposure and consistency of endocrine disrupting chemicals in a longitudinal study of individuals with impaired fasting glucose.

Thomas P van der Meer, Ming K Chung, Martijn van Faassen, Konstantinos C Makris, André P van Beek, Ido P Kema, Bruce H R Wolffenbuttel, Jana V van Vliet-Ostaptchouk, Chirag J Patel

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

9 authors at 3 institutions in 3 countries.

Thomas P van der MeerDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Ming K ChungDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Martijn van FaassenDepartment of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Konstantinos C MakrisWater and Health Laboratory, Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Irinis 95, 3041, Limassol, Cyprus.
André P van BeekDepartment of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Ido P KemaDepartment of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Bruce H R WolffenbuttelDepartment of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Jana V van Vliet-OstaptchoukDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Genomics Coordination Center, Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Electronic address: Chirag_Patel@hms.harvard.edu.
University Medical Center Groningen · NLHarvard University · USCyprus University of Technology · CY

Funding

Big Data Analysis of HIV Risk and Epidemiology in Sub-Saharan AfricaR01AI127250 · NIAID · STANFORD UNIVERSITY · PI BENDAVID, ERAN, PATEL, CHIRAG J. · 2017 to 2020
$2.7M
NIAID NIH HHS R01 AI127250
6 · The paper itself

Abstract

Endocrine disrupting chemicals (EDCs) include non-persistent exogenous substances such as parabens, bisphenols and phthalates which have been associated with a range of metabolic disorders and disease. It is unclear if exposure remains consistent over time. We investigated change in indicators of EDC exposure between 2009 and 2016 and assessed its consistency between and within individuals over a median follow-up time of 47 months in a sample of Dutch individuals. Of 500 Dutch individuals, two 24 h urine samples were analysed for 5 parabens, 3 bisphenols and 13 metabolites of in total 8 different phthalates. We calculated per-year differences using meta-analysis and assessed temporal correlations between and within individuals using Spearman correlation coefficients, intra-class correlation coefficients (ICC) and kappa-statistics. We found a secular decrease in concentrations of methyl, ethyl, propyl and n-butyl paraben, bisphenol A, and metabolites of di-ethyl phthalate (DEP), di-butyl phthalate (DBP), di-(2-ethyl-hexyl) phthalate (DEHP), and butylbenzyl phthalate (DBzP) which varied from 8 to 96% (ethyl paraben, propyl paraben) between 2009 and 2016. Within-person temporal correlations were highest for parabens (ICC: 0.34 to 0.40) and poorest for bisphenols (ICC: 0.15 to 0.23). For phthalate metabolites, correlations decreased most between time periods (ICC < 48 months: 0.22 to 0.39; ≥48 months: 0.05 to 0.32). When categorizing EDC concentrations, 33-54% of individuals remained in the lowest or highest category and temporal correlations were similar to continuous measurements. Exposure to most EDCs decreased between 2009 and 2016 in a sample of individuals with impaired fasting glucose from the Dutch population. Temporal consistency was generally poor. The inconsistency in disease associations may be influenced by individual-level or temporal variation exhibited by EDCs. Our findings call for the need for repeated measurements of EDCs in observational studies before and during at-risk temporal windows for the disease.

Indexed as

Endocrine DisruptorsEnvironmental PollutantsPhthalic AcidsEnvironmental ExposureFastingGlucoseHumansLongitudinal StudiesParabensEndocrine DisruptorsEnvironmental PollutantsGlucoseParabensPhthalic AcidsBisphenolsParabensPhthalatesReproducibilityTemporal stability

Identifiers

PMID33617867
PMCPMC9162187
OpenAlexW3131220293

What OpenQuestion holds

Textmetadata
LicenceTDM
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.