Evidence map›Paper›PMID 40810606›Full record

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

Estimating the Opportunity for Early Detection of Ovarian Cancer Using Individual-Patient Data from a Large Randomized Controlled Trial.

Marc D Ryser, Shannon T Holloway, Raphaël Morsomme, Andy Ryan, Sophia Apostolidou, Aleksandra Gentry-Maharaj, Kemal Caglar Gogebakan, Jane Lange, Jason Xu, Usha Menon and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Marc D RyserDepartment of Population Health Sciences, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0002-4990-0849
Shannon T HollowayDepartment of Population Health Sciences, Duke University Medical Center, Durham, North Carolina.ORCID 0009-0005-6757-7503
Raphaël MorsommeDepartment of Statistical Science, Duke University, Durham, North Carolina.ORCID 0000-0002-7421-6977
Andy RyanMRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, United Kingdom.ORCID 0000-0002-5359-9534
Sophia ApostolidouMRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, United Kingdom.ORCID 0000-0003-2659-0451
Aleksandra Gentry-MaharajMRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, United Kingdom.ORCID 0000-0001-7270-9762
Kemal Caglar GogebakanProgram in Biostatistics, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0001-5556-4194
Jane LangeCenter for Early Detection Research, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon.ORCID 0000-0002-0014-9679
Jason XuDepartment of Statistical Science, Duke University, Durham, North Carolina.ORCID 0000-0001-5472-3720
Usha Menon *MRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, United Kingdom.ORCID 0000-0003-3708-1732
Ruth Etzioni *Program in Biostatistics, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-9164-6370

Funding

The Early Detection Research Network: Data Management and Coordinating CenterU24CA086368 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RUTH D ETZIONI, Ziding Feng · 2010 to 2026
$75.7M
Modeling and analytics for cancer diagnostics: traversing the data-evidence divideR35CA274442 · NCI · FRED HUTCHINSON CANCER CENTER · PI RUTH D ETZIONI · 2022 to 2026
$4.9M
Medical Research Council (MRC) MC_UU_00004/01National Cancer Institute (NCI) R35CA274442NCI NIH HHS R35 CA274442NCI NIH HHS U24 CA086368
6 · The paper itself

Abstract

backgroundThe UK Collaborative Trial of Ovarian Cancer Screening did not detect a reduction in ovarian cancer mortality with either multimodal screening (MMS) or transvaginal ultrasound screening (USS) compared with no screening. The trial data provide an invaluable resource to quantify the opportunity for interception in ovarian cancer.

methodsWe used Bayesian inference to estimate ovarian cancer natural history based on individual screening and cancer diagnosis records from the UK Collaborative Trial of Ovarian Cancer Screening, a randomized controlled ovarian cancer screening trial conducted in England, Wales, and Northern Ireland. The trial included 202,638 women ages 50 to 74 years with no family history of ovarian cancer, randomized in a 1:1:2 ratio to annual MMS (serum CA125 interpreted using the risk of ovarian cancer algorithm), annual USS, or no screening. The current analysis included 199,499 women, with 674,806 screens and 2,025 cancer diagnoses.

resultsAmong high-grade serous cancers (HGSC), the estimated preclinical detectable phase was 1.7 years (95% credible interval, 1.3-2.2), compared with 7.8 years (95% credible interval, 5.7-10.6) for non-HGSCs. The preclinical detectable phase depended on screening modality: for HGSCs, it was longer in the MMS arm (2.2 years) compared with the USS arm (0.8 years), whereas for non-HGSCs, it was shorter in the MMS arm (2.7 years) compared with the USS arm (8.2 years).

conclusionsThe interception opportunity for ovarian cancer strongly depends on histologic subtype and screening modality. IMPACT: Achieving a clinically significant benefit of ovarian cancer early detection will require prolonging the interception window through judicious combination of first- and second-line tests.

Indexed as

Early Detection of CancerOvarian NeoplasmsAgedFemaleHumansMiddle Aged

Identifiers

PMID40810606
PMCPMC12448278

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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.