ArticleScientific reports2018
US gynecologists' estimates and beliefs regarding ovarian cancer screening's effectiveness 5 years after release of the PLCO evidence.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07503054 (AI on Ovarian Cancer Screening Attitudes in Gynecologists), which is not on this map. Cited by 13 papers.
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.
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.
AI on Ovarian Cancer Screening Attitudes in Gynecologists
Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Educating physicians on strong opioids by descriptive versus simulated-experience formats: a randomized controlled trial.BMC medical education · 2022Trial
- Consecutive Negative Screening Tests for Ovarian Cancer: A Reliable Basis for Reassurance of Low Ovarian Cancer Mortality Risk?Journal of prevention (2022) · 2026Article
- Time to de-implementation of low-value cancer screening practices: a narrative review.BMJ quality & safety · 2025Review
- Assessing statistical literacy in medical students and doctors: a single-centre, cross-sectional survey in South Korea.BMJ open · 2025Article
- The Evidence Effect: How Fact Boxes Shift Perceptions of Lung Cancer Screening in Austrian Medical Practice.Cancer medicine · 2024Article
- General practitioners' risk literacy and real-world prescribing of potentially hazardous drugs: a cross-sectional study.BMJ quality & safety · 2024Article
- [Are the assessments of individual out-of-pocket health services of the IGeL-Monitor in line with clinical guidelines?]Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2023Article
- Text-Based vs. Graphical Information Formats in Sepsis Prevention and Early Detection: A Randomized Controlled Trial on Informed Choice.Journal of clinical medicine · 2022Article
- Using variation between countries to estimate demand for Cochrane reviews when access is free: a cost-benefit analysis.BMJ open · 2021Article
- Motivators of Inappropriate Ovarian Cancer Screening: A Survey of Women and Their Clinicians.JNCI cancer spectrum · 2021Article
- Article
- When evidence says no: gynaecologists' reasons for (not) recommending ineffective ovarian cancer screening.BMJ quality & safety · 2020Article
- Educating Pharmacists on the Risks of Strong Opioids With Descriptive and Simulated Experience Risk Formats: A Randomized Controlled Trial.MDM policy & practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Efficient patient care requires the conscientious use of current best evidence. Such evidence on ovarian cancer screening showed that the screening has no survival benefit but considerable harms; currently no medical organization recommends it. In a cross-sectional online survey study with 401 US outpatient gynecologists we investigated whether they follow the recommendation of their medical organizations in daily practice and report estimates of ovarian cancer screening's effectiveness that approximate current best evidence (within a ± 10 percent margin of error), and if not, whether a fact box intervention summarizing current best evidence improves judgments. Depending on question, 44.6% to 96.8% reported estimates and beliefs regarding screening's effectiveness that diverged from evidence, and 57.6% reported regularly recommending the screening. Gynecologists who recommend screening overestimated the benefit and underestimated the harms more frequently. After seeing the fact box, 51.6% revised initial estimates and beliefs, and the proportion of responses approximating best evidence increased on all measures (e.g., mortality reduction: 32.9% [95% CI, 26.5 to 39.7] before intervention, 77.3% [71.0 to 82.8] after intervention). Overall, results highlight the need for intensified training programs on the interpretation of medical evidence. The provision of fact box summaries in medical journals may additionally improve the practice of evidence-based medicine.
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What OpenQuestion holds
Registered trials
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.