Evidence map›Paper›PMID 42332887›Full record

ArticleCancer medicine2026

Oophorectomy-Corrected Ovarian Cancer Incidence, Survival, and Mortality by Subtype, Race, Ethnicity.

Nicolas Wentzensen, Camryn Cohen, Summer Harvey, Britt K Erickson, Megan A Clarke

Abstract read
In one paragraph

Article in Cancer medicine, 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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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

5 authors.

Nicolas WentzensenDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, Maryland, USA.ORCID https://orcid.org/0000-0003-1251-0836
Camryn CohenDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, Maryland, USA.
Summer HarveyDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, Maryland, USA.
Britt K EricksonDepartment of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, Minnesota, USA.
Megan A ClarkeDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, Maryland, USA.ORCID https://orcid.org/0000-0003-0435-7376

Funding

Intramural Research Program of the National Cancer Institute Z01CP010126
6 · The paper itself

Abstract

backgroundMost ovarian cancers are detected at advanced stages, with poor outcomes. Ovarian cancer is heterogeneous; the most common subtype, serous ovarian carcinoma, may originate outside of the ovaries. To inform etiologic heterogeneity, prevention, and treatment of ovarian cancer, we conducted the first evaluation of oophorectomy-corrected incidence and mortality trends of ovarian, fallopian tube, and peritoneal cancers.

methodsOvarian cancer incidence, survival, and incidence-based mortality overall and by subtype were analyzed using the U.S. Surveillance, Epidemiology, and End Results (SEER)-22 and SEER17 databases including cases from 2000 to 2019, with oophorectomy correction based on data from the National Health and Nutrition Examination Survey (NHANES). Rates were age adjusted per 100,000 person-years; annual percent changes in rates were calculated.

resultsAge-adjusted prevalence of oophorectomy changed minimally between 2000 and 2019 and was highest among Non-Hispanic White women. Oophorectomy-correction increased ovarian cancer incidence rates by 23% on average. Ovarian cancer incidence decreased by 2% between 2000 and 2019, with a stronger reduction observed in recent years. Fallopian tube cancer incidence increased by 7% from 2000 to 2019. Relative 5-year survival was lowest among Non-Hispanic Black women even after accounting for histotype and stage. Ovarian cancer mortality decreased by 1.8% between 2000 and 2019. Serous carcinomas contributed to 68% of ovarian cancer cases, but 83% of all ovarian cancer deaths.

conclusionsThe reasons for decreasing ovarian cancer incidence are not understood. There is evidence for some reclassification of primary ovarian to primary fallopian tube cancers. Low survival rates in Non-Hispanic Black women point to disparities along the continuum of care.

Indexed as

Fallopian Tube NeoplasmsOvarian NeoplasmsOvariectomyPeritoneal NeoplasmsAdultAgedBlack or African AmericanEthnicityFemaleHumansIncidenceMiddle AgedRacial GroupsSEER ProgramUnited StatesWhitefallopian tubesincidencemortalityoophorectomyovarian cancertrends

Identifiers

PMID42332887
PMCPMC13287087

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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.