Evidence map›Paper›PMID 42340350›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2026

A Multistate Survival Model to Identify Risk Factors for Lethal Ovarian Cancer.

Mary K Townsend, A Heather Eliassen, Kathryn L Terry, Shelley S Tworoger, Bernard Rosner

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, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mary K TownsendDivision of Oncological Sciences, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon.ORCID 0000-0003-2452-4477
A Heather EliassenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-3961-6609
Kathryn L TerryDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID 0009-0002-5848-4661
Shelley S Tworoger *Division of Oncological Sciences, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon.ORCID 0000-0002-6986-7046
Bernard Rosner *Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-6907-0056

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, TAMIMI, RULLA M · 2000 to 2019
$77.8M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Methodologic Innovations in Cancer EpidemiologyR01CA272489 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Bernard A Rosner · 2023 to 2026
$1.8M
National Cancer Institute (NCI) P01 CA87969National Cancer Institute (NCI) R01 CA272489National Cancer Institute (NCI) U01 CA176726National Cancer Institute (NCI) UM1 CA186107NCI NIH HHS P01 CA087969NCI NIH HHS R01 CA272489NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

backgroundGiven that primary prevention strategies for ovarian cancer, such as surgery and medications, have inherent risks, identifying those at high risk of lethal ovarian cancer is critical. We examined prediagnosis factors and risk of developing and dying from ovarian cancer among cancer-free women.

methodsAnalyses were conducted in three 12-year periods from 1980 to 2017 in the Nurses' Health Study (NHS) and NHSII cohorts. Potential risk factors were reproductive and hormonal variables, endometriosis history, smoking, low-dose aspirin, self-identified race, family history, depression, and adiposity over the life course. We used a multistate survival model to estimate relative risks and 95% lower and upper confidence limits for lethal ovarian cancer among 211,420 cancer-free women, among whom 1,730 developed ovarian cancer and 660 died because of ovarian cancer in the same risk period as diagnosis.

resultsOf the 22 exposures evaluated, 10 were associated with lethal ovarian cancer. For example, nulliparity had an amplified association with lethal ovarian cancer (1.62, 1.23-2.13) due to associations with both incidence and mortality in the same direction. Oral contraceptive use ≥10 versus 0 years was associated with lethal ovarian cancer (0.65, 0.43-0.97) primarily due to association with incidence, whereas ≥20 versus 0 pack-years of smoking was associated with lethal ovarian cancer (1.25, 1.02-1.53) primarily due to the mortality relationship.

conclusionsSeveral reproductive factors, depression, and self-identified race were associated with risk of lethal ovarian cancer. IMPACT: Evaluations of lethal ovarian cancer risk must consider differential associations of exposures with incidence and mortality.

Indexed as

Ovarian NeoplasmsAdultFemaleHumansMiddle AgedRisk FactorsSurvival AnalysisUnited States

Identifiers

PMID42340350
PMCPMC13379247

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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.