Evidence map›Paper›PMID 35504340›Full record

ArticleEnvironmental research2022

A nested case-control study of serum polychlorinated biphenyls and papillary thyroid cancer risk among U.S. military service members.

Haoran Zhuo, Huang Huang, Andreas Sjodin, Lan Jin, Shuangge Ma, Hristina Denic-Roberts, Joshua L Warren, Richard Jones, Mark Davis, Peiyuan Sun and 5 more

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 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

15 authors at 7 institutions in 1 country.

Haoran ZhuoDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
Huang HuangDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
Andreas SjodinPersistent Pollutants Biomonitoring Laboratory, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Lan JinDepartment of Neurosurgery, Yale School of Medicine, New Haven, CT, USA.
Shuangge MaDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Hristina Denic-RobertsOak Ridge Institute for Science and Education (ORISE), MD, USA; Uniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Department of Preventive Medicine & Biostatistics, Bethesda, MD, USA.
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Richard JonesPersistent Pollutants Biomonitoring Laboratory, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Mark DavisPersistent Pollutants Biomonitoring Laboratory, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Peiyuan SunDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Herbert YuEpidemiology Program, University of Hawaii Cancer Center, Hawaii, USA.
Mary H WardOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Robert UdelsmanEndocrine Neoplasia Institute, Miami Cancer Institute, Miami, FL, USA.
Yawei ZhangDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
Jennifer A RusieckiUniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Department of Preventive Medicine & Biostatistics, Bethesda, MD, USA. Electronic address: jennifer.rusiecki@usuhs.edu.
Yale University · USCenters for Disease Control and Prevention · USMiami Transplant Institute · USNational Cancer Institute · USOak Ridge Associated Universities · USUniformed Services University of the Health Sciences · USUniversity of Hawaiʻi at Mānoa · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI MEGAN C KING · 1985 to 2026
$85.0M
PHAHs and Thyroid Cancer Risk in DoDSR CohortR01ES020361 · NIEHS · YALE UNIVERSITY · PI RUSIECKI, JENNIFER ANN, ZHANG, YAWEI · 2012 to 2016
$3.3M
NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA016359NIEHS NIH HHS R01 ES020361
6 · The paper itself

Abstract

BACKGROUND AND

objectivesAlthough polychlorinated biphenyls (PCBs) were banned decades ago, populations are continuously exposed to PCBs due to their persistence and bioaccumulation/biomagnification in the environment. Results from limited epidemiologic studies linking PCBs to thyroid cancer have been inconclusive. This study aimed to investigate the association between individual PCBs and PCB mixture and papillary thyroid cancer (PTC), the most common thyroid cancer histologic subtype.

methodsWe carried out a nested case-control study including 742 histologically confirmed PTC cases diagnosed in 2000-2013 and 742 individually matched controls among U.S. military service members. Pre-diagnostic serum samples that were collected on average nine years before PTC diagnosis were used to measure PCB congeners by gas chromatography isotope dilution high resolution mass spectrometry (GC/ID-HRMS). Conditional logistic regression, Bayesian kernel machine regression (BKMR), and weighted quantile sum (WQS) regression were employed to estimate the association between single PCB congeners as well as their mixture and PTC.

resultsFour PCB congeners (PCB-74, PCB-99, PCB-105, PCB-118) had significant associations and dose-response relationships with increased risk of PTC in single congener models. When considering the effects from all measured PCBs and their potential interactions in the BKMR model, PCB-118 showed positive trends of association with PTC. Increased exposure to the PCB congeners as a mixturewas also associated with an increased risk of PTC in the WQS model, with the mixture dominated by PCB-118, followed by PCB-74 and PCB-99. One PCB congener, PCB-187, showed an inverse trend of association with PTC in the mixture analysis. DISCUSSION: This study suggests that exposure to certain PCBs as well as a mixture of PCBs were associated with an increased risk of PTC. The observed association was mainly driven by PCB-118, and to a lesser extent by PCB-74 and PCB-99. The findings warrant further investigation.

Indexed as

Environmental PollutantsMilitary PersonnelPolychlorinated BiphenylsThyroid NeoplasmsBayes TheoremCase-Control StudiesGas Chromatography-Mass SpectrometryHumansThyroid Cancer, PapillaryEnvironmental PollutantsPolychlorinated BiphenylsEndocrine disrupting chemicalsMixturesPapillary thyroid cancerPCBsPersistent organic pollutantsPolychlorinated biphenyls

Identifiers

PMID35504340
PMCPMC9238631
OpenAlexW4225289319

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.