Evidence map›Paper›PMID 38781746›Full record

ArticleGynecologic oncology2024

Trends in uterine cancer incidence in the United States: The contribution of age, period and cohort effects.

Jennifer S Ferris, Matthew T Prest, Chin Hur, Ling Chen, Elena B Elkin, Alex Melamed, Chung Yin Kong, Evan R Myers, Laura J Havrilesky, Stephanie V Blank and 2 more

Abstract read
In one paragraph

Article in Gynecologic oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Projected Trends in the Incidence and Mortality of Uterine Cancer in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    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

12 authors.

Jennifer S FerrisDepartment of Gynecologic Oncology, Columbia University College of Physicians and Surgeons, New York, NY, USA; Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Matthew T PrestDepartment of Gynecologic Oncology, Columbia University College of Physicians and Surgeons, New York, NY, USA; Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Chin HurDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA; Herbert Irving Comprehensive Cancer Center, New York, NY, USA; New York-Presbyterian Hospital, New York, NY, USA.
Ling ChenDepartment of Gynecologic Oncology, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Elena B ElkinHerbert Irving Comprehensive Cancer Center, New York, NY, USA; Joseph L. Mailman School of Public Health, Columbia University, New York, NY, USA.
Alex MelamedDepartment of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.
Chung Yin KongDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Evan R MyersDepartment of Obstetrics and Gynecology at the Duke University Medical Center, Durham, NC, USA.
Laura J HavrileskyDepartment of Obstetrics and Gynecology at the Duke University Medical Center, Durham, NC, USA.
Stephanie V BlankDepartment of Obstetrics, Gynecology, and Reproductive Science, and Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
William D HazeltonHerbold Computational Biology Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Jason D WrightDepartment of Gynecologic Oncology, Columbia University College of Physicians and Surgeons, New York, NY, USA; Herbert Irving Comprehensive Cancer Center, New York, NY, USA; New York-Presbyterian Hospital, New York, NY, USA. Electronic address: jw2459@columbia.edu.

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
NCI NIH HHS U01 CA265739
6 · The paper itself

Abstract

objectiveIn the U.S., uterine cancer incidence is rising, with racial and ethnic minorities experiencing the largest increases. We performed age-period-cohort analyses using novel methods to examine the contribution of age at diagnosis (age), year of diagnosis (period), and birth cohort (cohort), to trends in uterine cancer incidence.

methodsWe used uterine cancer incidence data from the Surveillance, Epidemiology, and End Result (SEER) 12 database (1992-2019), and performed hysterectomy-correction. We generated hexamaps to visualize age, period, and cohort effects, and used mutual information to estimate the percent contribution of age, period, and cohort effects, individually and combined, on uterine cancer incidence, overall and by race and ethnicity and histology.

resultsHexamaps showed an increase in uterine cancer in later time periods, and a cohort effect around 1933 showing a lower incidence compared with earlier and later cohorts. Age, period, and cohort effects combined contributed 86.6% (95% CI: 86.4%, 86.9%) to the incidence. Age effects had the greatest contribution (65.1%, 95% CI: 64.3%, 65.9), followed by cohort (20.7%, 95% CI: 20.1%, 21.3%) and period (14.2%, 95% CI: 13.7%, 14.8%) effects. Hexamaps showed higher incidence in recent years for non-Hispanic Blacks and non-endometrioid tumors.

conclusionsAge effects had the largest contribution to uterine cancer incidence, followed by cohort and period effects overall and across racial and ethnic groups and histologies. IMPACT: These findings can inform uterine cancer modeling studies on the effects of interventions that target risk factors which may vary across age, period, or cohort.

Indexed as

SEER ProgramUterine NeoplasmsAdultAgedAged, 80 and overAge FactorsCohort EffectCohort StudiesFemaleHumansIncidenceMiddle AgedUnited StatesYoung AdultAgeCohortEndometrial cancerHysterectomyPeriodUterine cancer

Identifiers

PMID38781746
PMCPMC11309905

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Registered trials

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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.