Evidence map›Paper›PMID 37704943›Full record

ArticleBMC pregnancy and childbirth2023

PFAS concentrations in early and mid-pregnancy and risk of gestational diabetes mellitus in a nested case-control study within the ethnically and racially diverse PETALS cohort.

Alicia K Peterson, Yeyi Zhu, Sophia Fuller, Juanran Feng, Stacey Alexeeff, Susanna D Mitro, Kurunthachalam Kannan, Morgan Robinson, Amy Padula, Assiamira Ferrara

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 19 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

10 authors at 3 institutions in 1 country.

Alicia K PetersonDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA. alicia.k.peterson@kp.org.
Yeyi ZhuDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA.
Sophia FullerDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA.
Juanran FengDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA.
Stacey AlexeeffDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA.
Susanna D MitroDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA.
Kurunthachalam KannanDepartment of Pediatrics, New York University School of Medicine, 145 East 32 Street, New York, NY, 10016, USA.
Morgan RobinsonDepartment of Pediatrics, New York University School of Medicine, 145 East 32 Street, New York, NY, 10016, USA.
Amy PadulaDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, 490 Illinois Street, San Francisco, 94143 CA, USA.
Assiamira FerraraDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA.
Kaiser Permanente · USNew York University · USUniversity of California, San Francisco · US

Funding

UCSF Environmental Research and Translation for Health Center (EaRTH Center)P30ES030284 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JENNIFER C FUNG, Tracey J. Woodruff · 2020 to 2026
$11.2M
T32 Training Program in Diabetes Translational ResearchT32DK116684 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GRANT, RICHARD W, SCHMITTDIEL, JULIE A · 2018 to 2022
$714k
NIDDK NIH HHS T32 DK116684NIEHS NIH HHS P30 ES030284
6 · The paper itself

Abstract

backgroundPer- and polyfluoroalkyl substances (PFAS) are persistent synthetic chemicals and are commonly found in everyday items. PFAS have been linked to disrupting glucose homeostasis, however, whether they are associated with gestational diabetes mellitus (GDM) risk remains inconclusive. We examined prospective associations of PFAS concentrations measured twice in pregnancy with GDM risk.

methodsIn the PETALS pregnancy cohort, a nested case-control study which included 41 GDM cases and 87 controls was conducted. PFAS analytes were measured in blood serum collected in both early and mid-pregnancy (mean [SD]: 13.9 [2.2] and 20.2 [2.2] gestational weeks, respectively), with cumulative exposure calculated by the area-under-the-curve (AUC) to integrate both the PFAS concentration and the timing of the exposure. Individual adjusted weighted unconditional logistic regression models examined seven PFAS in association with GDM risk. P-values were corrected using the false-discovery-rate (FDR). Mixture models were analyzed with Bayesian kernel machine regression (BKMR).

resultsPFDA, PFNA and PFOA were individually associated with higher GDM risk per interquartile range (IQR) in early pregnancy (OR [95% CI]: 1.23 [1.09, 1.38]), 1.40 [1.24, 1.58]), and 1.15 [1.04, 1.27], respectively), mid-pregnancy (1.28 [1.15, 1.43], 1.16 [1.05, 1.28], and 1.20 [1.09, 1.33], respectively), and with cumulative exposure (1.23 [1.09, 1.38], 1.21 [1.07, 1.37], and 1.19 [1.09, 1.31], respectively). PFOS in mid-pregnancy and with cumulative exposure was associated with increased GDM risk (1.41 [1.17, 1.71] and 1.33 [1.06, 1.58], respectively). PFUnDA in early pregnancy was associated with lower GDM risk (0.79 [0.64, 0.98]), whereas mid-pregnancy levels were associated with higher risk (1.49 [1.18, 1.89]). PFHxS was associated with decreased GDM risk in early and mid-pregnancy (0.48 [0.38, 0.60] and 0.48 [0.37, 0.63], respectively) and with cumulative exposure (0.49 [0.38,0.63]). PFPeA was not associated with GDM. Similar conclusions were observed in BKMR models; however, overall associations in these models were not statistically significant.

conclusionsHigher risk of GDM was consistently observed in association with PFDA, PFNA, and PFOA exposure in both early and mid-pregnancy. Results should be corroborated in larger population-based cohorts and individuals of reproductive age should potentially avoid known sources of PFAS.

Indexed as

Diabetes, GestationalFluorocarbonsArea Under CurveBayes TheoremCase-Control StudiesFemaleHumansPregnancyFluorocarbonsBKMRGDMGestational diabetesPFASPregnancy

Identifiers

PMID37704943
PMCPMC10500777
OpenAlexW4386710764

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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.