Evidence map›Paper›PMID 31387967›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Exposure to Polybrominated Diphenyl Ethers and a Polybrominated Biphenyl and Risk of Thyroid Cancer in Women: Single and Multi-Pollutant Approaches.

Nicole C Deziel, Javier Alfonso-Garrido, Joshua L Warren, Huang Huang, Andreas Sjodin, Yawei Zhang

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. 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
–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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

6 authors.

Nicole C Deziel *Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut. nicole.deziel@yale.edu.
Javier Alfonso-Garrido *Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Huang HuangDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-0147-9650
Andreas SjodinDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Yawei ZhangDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.

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
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 TR001863NIEHS NIH HHS R01 ES020361
6 · The paper itself

Abstract

backgroundThyroid cancer incidence is the most rapidly increasing malignancy; rates are three times higher in women than men. Thyroid hormone-disrupting flame-retardant chemicals, including polybrominated diphenyl ethers (PBDE) and polybrominated biphenyls (PBB), may contribute to this trend.

methodsWe investigated the relationship between PBDE/PBB exposure and papillary thyroid cancer (PTC) in 250 incident female papillary thyroid cancer cases and 250 female controls frequency-matched on age. Interviews and postdiagnostic serum samples were collected from 2010 to 2013. Serum samples were analyzed for 11 congeners. We calculated ORs and 95% confidence intervals (95% CI) using single-pollutant logistic regression models for continuous and categorical lipid-adjusted serum concentrations of PBDE/PBB, adjusted for age, alcohol consumption, and education. We applied three multi-pollutant approaches [standard multipollutant regression models, hierarchical Bayesian logistic regression modeling (HBLR), principal components analysis (PCA)] to investigate associations with PBDE/PBB mixtures.

resultsIn single-pollutant models, a decreased risk was observed at the highest (>90th percentile) versus lowest (<median) category of BDE-209 concentrations (OR, 0.47; 95% CI, 0.23-0.98); an elevated PTC risk was observed at the highest versus lowest category of BB-153 concentrations (OR, 1.81; 95% CI, 0.96-3.39). In standard multi-pollutant models, an interquartile range increase in BDE-100 concentrations was associated with increased PTC risk (OR, 1.18; 95% CI, 1.01-1.38). HBLR and PCA yielded no statistically significant results.

conclusionsOur results using single- and multi-pollutant modeling do not generally support a positive association with PBDE/PBB and PTC risk. IMPACT: Prospective studies with more advanced statistical approaches to analyze mixtures and populations with higher exposures could reveal new insights.

Indexed as

AdultAgedCase-Control StudiesConnecticutEnvironmental ExposureEnvironmental PollutantsFemaleFlame RetardantsHalogenated Diphenyl EthersHumansMiddle AgedPolybrominated BiphenylsPrognosisThyroid Cancer, PapillaryThyroid NeoplasmsEnvironmental PollutantsFlame RetardantsHalogenated Diphenyl EthersPolybrominated Biphenyls

Identifiers

PMID31387967
PMCPMC6774868

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.