Evidence map›Paper›PMID 39038822›Full record

ArticleJournal of the National Cancer Institute2024

Estimating sojourn time and sensitivity of screening for ovarian cancer using a Bayesian framework.

Sayaka Ishizawa, Jiangong Niu, Martin C Tammemagi, Ehsan Irajizad, Yu Shen, Karen H Lu, Larissa A Meyer, Iakovos Toumazis

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Estimating the Opportunity for Early Detection of Ovarian Cancer Using Individual-Patient Data from a Large Randomized Controlled Trial.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Trial
  2. Article
  3. Article
  4. Article
  5. Improving ovarian cancer risk assessment using a machine learning model developed on data from the Prostate Lung Colorectal Ovarian Cancer Screening Trial.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2026
    Article
  6. Article
  7. Article
  8. Trends in young-onset cancer incidence: a modeling perspective.Journal of the National Cancer Institute · 2025
    Article
  9. Review
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Sayaka IshizawaDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0001-7728-2227
Jiangong NiuDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Martin C TammemagiDepartment of Health Sciences, Brock University, St Catharines, ON, Canada.
Ehsan IrajizadDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yu ShenDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Karen H LuDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Larissa A MeyerDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Iakovos ToumazisDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-3462-2137

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Anderson Cancer Center Duncan Family Institute for Cancer Prevention and Risk AssessmentNCI NIH HHS P30 CA016672The University of TexasUniversity of Texas MD Anderson Cancer Center Duncan Family Institute for Cancer Prevention and Risk Assessment
6 · The paper itself

Abstract

backgroundOvarian cancer is among the leading causes of gynecologic cancer-related death. Past ovarian cancer screening trials using combination of cancer antigen 125 testing and transvaginal ultrasound failed to yield statistically significant mortality reduction. Estimates of ovarian cancer sojourn time-that is, the period from when the cancer is first screen detectable until clinical detection-may inform future screening programs.

methodsWe modeled ovarian cancer progression as a continuous time Markov chain and estimated screening modality-specific sojourn time and sensitivity using a Bayesian approach. Model inputs were derived from the screening arms (multimodal and ultrasound) of the UK Collaborative Trial of Ovarian Cancer Screening and the Prostate, Lung, Colorectal and Ovarian cancer screening trials. We assessed the quality of our estimates by using the posterior predictive P value. We derived histology-specific sojourn times by adjusting the overall sojourn time based on the corresponding histology-specific survival from the Surveillance, Epidemiology, and End Results Program.

resultsThe overall ovarian cancer sojourn time was 2.1 years (posterior predictive P value = .469) in the Prostate, Lung, Colorectal and Ovarian studies, with 65.7% screening sensitivity. The sojourn time was 2.0 years (posterior predictive P value = .532) in the United Kingdom Collaborative Trial of Ovarian Cancer Screening's multimodal screening arm and 2.4 years (posterior predictive P value = .640) in the ultrasound screening arm, with sensitivities of 93.2% and 64.5%, respectively. Stage-specific screening sensitivities in the Prostate, Lung, Colorectal and Ovarian studies were 39.1% and 82.9% for early-stage and advanced-stage disease, respectively. The histology-specific sojourn times ranged from 0.8 to 1.8 years for type II ovarian cancer and 2.9 to 6.6 years for type I ovarian cancer.

conclusionsAnnual screening is not effective for all ovarian cancer subtypes. Screening sensitivity for early-stage ovarian cancers is not sufficient for substantial mortality reduction.

Indexed as

Bayes TheoremEarly Detection of CancerOvarian NeoplasmsAgedCA-125 AntigenFemaleHumansMarkov ChainsMass ScreeningMiddle AgedSEER ProgramSensitivity and SpecificityTime FactorsUltrasonographyUnited KingdomCA-125 Antigen

Identifiers

PMID39038822
PMCPMC13396154

What OpenQuestion holds

Textmetadata
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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.