Evidence map›Paper›PMID 31742588›Full record

ArticleAmerican journal of epidemiology2020

Polybrominated Diphenyl Ethers, Polybrominated Biphenyls, and Risk of Papillary Thyroid Cancer: A Nested Case-Control Study.

Huang Huang, Andreas Sjodin, Yingtai Chen, Xin Ni, Shuangge Ma, Herbert Yu, Mary H Ward, Robert Udelsman, Jennifer Rusiecki, Yawei Zhang

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  4. Quantification of brominated flame retardants in soil.Journal of veterinary research · 2025
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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 8 institutions in 2 countries.

Huang HuangDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.
Andreas SjodinPersistent Pollutants Biomonitoring Laboratory, Centers for Disease Control and Prevention, Atlanta, Georgia.
Yingtai ChenDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut.
Xin NiBeijing Children's Hospital, Capital Medical University, Beijing, China.
Shuangge MaDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Herbert YuEpidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii.
Mary H WardOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Robert UdelsmanEndocrine Neoplasia Institute, Miami Cancer Institute, Miami, Florida.
Jennifer Rusieckiand Uniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Department of Preventive Medicine and Biostatistics, Bethesda, Maryland.
Yawei ZhangDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.
Yale University · USBeijing Children’s Hospital · CNCenters for Disease Control and Prevention · USChinese Academy of Medical Sciences & Peking Union Medical College · CNDivision of Cancer Epidemiology and GeneticsMiami Transplant Institute · USUniformed Services University of the Health Sciences · USUniversity of Hawaiʻi at Mānoa · US

Funding

Cancer Risk and Environmental ExposuresZIACP010125 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI PURDUE, MARK · 2009 to 2025
$41.3M
PHAHs and Thyroid Cancer Risk in DoDSR CohortR01ES020361 · NIEHS · YALE UNIVERSITY · PI RUSIECKI, JENNIFER ANN, ZHANG, YAWEI · 2012 to 2016
$3.3M
NIEHS NIH HHS R01 ES020361
6 · The paper itself

Abstract

A nested case-control study was carried out using data from the US Department of Defense cohort between 2000 and 2013 to investigate the associations of papillary thyroid cancer (PTC) with serum concentrations of polybrominated diphenyl ethers and polybrominated biphenyls. This study included 742 histologically confirmed PTC cases (in 341 women and 401 men) and 742 matched controls with prediagnostic serum samples from the Department of Defense Serum Repository. Lipid-corrected serum concentrations of 8 congeners were measured. Multivariate conditional logistic regression analyses were performed for classical PTC and follicular variant of PTC, respectively. We also examined effect modification by sex. BDE-28, a polybrominated diphenyl ether congener, was associated with significantly increased risk of classical PTC (for the third tertile vs. below the limit of detection, odds ratio = 2.09, 95% confidence interval: 1.05, 4.15; P for trend = 0.02), adjusting for other congeners, body mass index, and branch of military service. This association was observed mainly for larger classical PTC (tumor size > 10 mm), with a significantly stronger association among women than men (P for interaction = 0.004). No consistent associations were observed for other congeners, including those at higher concentrations. This study found a significantly increased risk of classical PTC associated with increasing levels of BDE-28. The risk varied by sex and tumor size.

Indexed as

AdultCase-Control StudiesEnvironmental PollutantsFemaleHalogenated Diphenyl EthersHumansLogistic ModelsMaleMiddle AgedPolybrominated BiphenylsThyroid Cancer, PapillaryThyroid NeoplasmsYoung AdultEnvironmental PollutantsHalogenated Diphenyl EthersPolybrominated Biphenylstribromodiphenyl ether 28papillary thyroid cancerPBBsPBDEspolybrominated biphenylspolybrominated diphenyl ethers

Identifiers

PMID31742588
PMCPMC7156139
OpenAlexW2989812538

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.