Evidence map›Paper›PMID 40204946›Full record

Observational studyBritish journal of cancer2025

In-utero and newborn factors and thyroid cancer incidence in adult women in the Sister Study cohort.

Thi-Van-Trinh Tran, Katie M O'Brien, Rebecca Troisi, Dale P Sandler, Cari M Kitahara

Abstract readObservational Study
In one paragraph

Observational study in British journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Thi-Van-Trinh TranRadiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, MD, 20892-9778, USA.ORCID http://orcid.org/0000-0003-3132-9055
Katie M O'BrienEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, USA.
Rebecca TroisiTrans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, MD, 20892-9778, USA.ORCID http://orcid.org/0000-0003-3520-2916
Dale P SandlerEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, USA.ORCID http://orcid.org/0000-0002-6776-0018
Cari M KitaharaRadiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, MD, 20892-9778, USA. kitaharac@mail.nih.gov.ORCID http://orcid.org/0000-0001-6416-4432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThyroid cancer is diagnosed at relatively young ages compared to other adult cancers, for reasons that remain unclear. Our study aimed to investigate associations of in-utero and newborn characteristics with differentiated thyroid cancer (DTC) incidence in adult women.

methodsFrom the U.S. nationwide Sister Study cohort, we included 47,913 cancer-free women at baseline (2003-2009). We assessed associations of participants' in-utero and newborn characteristics and DTC during follow-up using Cox regression models adjusted for attained age (timescale) and race/ethnicity.

resultsDuring follow-up (median = 13.1 years), 239 incident DTC cases were identified. Higher DTC incidence was associated with maternal pre-pregnancy or gestational diabetes (hazard ratio [HR] = 2.36, 95%CI = 0.97-5.74, 5 affected cases), gestational hypertension or hypertension-related disorders (HR = 1.99, 95%CI = 1.20-3.32, 16 affected cases), and higher birth weight (HR per kg=1.24, 95%CI = 0.95-1.60). Births occurring at least two weeks before the due date were associated with lower DTC incidence (HR = 0.47, 95%CI = 0.23-0.97, 8 affected cases). In a model simultaneously adjusted for all these factors, all exposures remained associated with DTC incidence. We observed no associations for other in-utero and newborn characteristics.

conclusionsThese findings contribute to a growing body of evidence that in-utero exposures related to maternal metabolic abnormalities may influence thyroid cancer risk later in life.

Indexed as

Thyroid NeoplasmsAdultBirth WeightCohort StudiesFemaleHumansIncidenceInfant, NewbornMiddle AgedPregnancyRisk FactorsUnited StatesYoung Adult

Identifiers

PMID40204946
PMCPMC12119869

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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.