Evidence map›Paper›PMID 40589281›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Projected Trends in the Incidence and Mortality of Uterine Cancer in the United States.

Jason D Wright, Matthew T Prest, Jennifer S Ferris, Ling Chen, Xiao Xu, Kevin J Rouse, Alexander Melamed, Chin Hur, Brandy M Heckman-Stoddard, Goli Samimi and 9 more

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, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

19 authors.

Jason D Wright *Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, New York.ORCID 0000-0001-6390-825X
Matthew T Prest *Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, New York.ORCID 0000-0002-3956-516X
Jennifer S FerrisDepartment of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, New York.ORCID 0000-0003-2901-9349
Ling ChenDepartment of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, New York.ORCID 0000-0001-9646-6697
Xiao XuDepartment of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, New York.ORCID 0000-0001-6519-1731
Kevin J RouseDepartment of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, New York.ORCID 0009-0009-6021-5154
Alexander MelamedDepartment of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-0654-0863
Chin HurHerbert Irving Comprehensive Cancer Center, New York, New York.ORCID 0000-0002-2819-7576
Brandy M Heckman-StoddardNational Cancer Institute, Bethesda, Maryland.ORCID 0000-0003-1686-7154
Goli SamimiNational Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-0674-003X
Nina A BickellDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0003-1102-8677
Tracy M LayneDepartment of Reproductive Science and Population Health, Mount Sinai, New York, New York.ORCID 0000-0002-3733-4886
Evan R MyersDepartment of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0002-9053-9864
Laura J HavrileskyDepartment of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0002-4259-5992
Stephanie V BlankDepartment of Reproductive Science and Population Health, Mount Sinai, New York, New York.ORCID 0000-0003-0605-6753
Natasha K StoutNational Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-7946-5649
William D HazeltonHerbold Computational Biology Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0002-7975-5080
Chung Yin KongDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0001-6431-7830
Elena B ElkinHerbert Irving Comprehensive Cancer Center, New York, New York.ORCID 0000-0001-8833-4213

Funding

Comparative Modeling for the Prevention and Control of Uterine CancerU01CA265739 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BICKELL, NINA A., BLANK, STEPHANIE V. · 2021 to 2025
$4.2M
National Cancer Institute (NCI) 1U01 CA265739NCI NIH HHS U01 CA265739
6 · The paper itself

Abstract

backgroundTo develop a natural history model for uterine cancer calibrated to population-based incidence and mortality data to project future trends in the disease through 2050.

methodsWe developed a state-transition microsimulation model of uterine cancer. The model begins at 18 years of age and simulates Black and White patients, includes transition states for precursor lesions, and separately models endometrioid and nonendometrioid tumors. The model was calibrated to population-based incidence and mortality data using parameter extrapolation.

resultsThe model closely fit population-based incidence and mortality data of uterine cancer. From 2020 to 2050, the incidence of uterine cancer is projected to increase in White women to 74.2 cases per 100,000 (compared with 57.7 cases per 100,000 in 2018) and increase to 86.9 per 100,000 (compared with 56.8 cases per 100,000 in 2018) in Black women. Among White women, incidence-based mortality will increase from 6.1 per 100,000 in 2018 to 11.2 per 100,000 in 2050, whereas incidence-based mortality in Black women will increase from 14.1 per 100,000 to 27.9 per 100,000. Endometrioid tumors are expected to increase considerably in both White and Black women; White women will experience only a slight increase in nonendometrioid tumors, whereas the incidence of these tumors will increase substantially in Black women.

conclusionsThe incidence and mortality of uterine cancer are projected to increase substantially over the next three decades. Black women will experience a disproportionate increase in the disease. IMPACT: Projecting the incidence and mortality of uterine cancer can facilitate future cancer control efforts.

Indexed as

Uterine NeoplasmsAdultAgedBlack or African AmericanFemaleHumansIncidenceMiddle AgedUnited StatesWhite

Identifiers

PMID40589281
PMCPMC12221196

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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.