ArticleAmerican journal of epidemiology2016
Risk Prediction for Epithelial Ovarian Cancer in 11 United States-Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci.
Article in American journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed.
- Association of hysterectomy and invasive epithelial ovarian and tubal cancer: a cohort study within UKCTOCS.BJOG : an international journal of obstetrics and gynaecology · 2022Trial
- Validation of a Clinical and Polygenic Risk Prediction Model for Ovarian Cancer in the Nurses' Health Study.Cancer prevention research (Philadelphia, Pa.) · 2026Article
- Genome-wide association study of 398,238 women unveils seven loci associated with high-grade serous ovarian cancer.NPJ genomic medicine · 2025Article
- Ovarian cancer risk prediction: a clinical epidemiology perspective.American journal of epidemiology · 2025Article
- Prospective Analysis of Circulating Biomarkers and Ovarian Cancer Risk in the UK Biobank.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- A framework for assessing interactions for risk stratification models: the example of ovarian cancer.Journal of the National Cancer Institute · 2023Article
- Prevention of Epithelial Ovarian Cancer.Cold Spring Harbor perspectives in medicine · 2023Review
- Association Between Purchase of Over-the-Counter Medications and Ovarian Cancer Diagnosis in the Cancer Loyalty Card Study (CLOCS): Observational Case-Control Study.JMIR public health and surveillance · 2023Observational
- Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors.Journal of medical genetics · 2022Article
- The DNA methylome of cervical cells can predict the presence of ovarian cancer.Nature communications · 2022Observational
- Article
- Posttraumatic Stress Disorder Is Associated with Increased Risk of Ovarian Cancer: A Prospective and Retrospective Longitudinal Cohort Study.Cancer research · 2019Article
- Determining Risk of Barrett's Esophagus and Esophageal Adenocarcinoma Based on Epidemiologic Factors and Genetic Variants.Gastroenterology · 2018Article
- Current Gaps in Ovarian Cancer Epidemiology: The Need for New Population-Based Research.Journal of the National Cancer Institute · 2017Review
- RE: "RISK PREDICTION FOR EPITHELIAL OVARIAN CANCER IN 11 UNITED STATES-BASED CASE-CONTROL STUDIES: INCORPORATION OF EPIDEMIOLOGIC RISK FACTORS AND 17 CONFIRMED GENETIC LOCI".American journal of epidemiology · 2017Article
- Ovarian cancer epidemiology in the era of collaborative team science.Cancer causes & control : CCC · 2017Review
- Epidemiologic paradigms for progress in ovarian cancer research.Cancer causes & control : CCC · 2017Article
- Epidemiology of ovarian cancer: a review.Cancer biology & medicine · 2017Article
Corrections and comments
- Erratum issued
Authors and funding
41 authors.
Funding
Abstract
Previously developed models for predicting absolute risk of invasive epithelial ovarian cancer have included a limited number of risk factors and have had low discriminatory power (area under the receiver operating characteristic curve (AUC) < 0.60). Because of this, we developed and internally validated a relative risk prediction model that incorporates 17 established epidemiologic risk factors and 17 genome-wide significant single nucleotide polymorphisms (SNPs) using data from 11 case-control studies in the United States (5,793 cases; 9,512 controls) from the Ovarian Cancer Association Consortium (data accrued from 1992 to 2010). We developed a hierarchical logistic regression model for predicting case-control status that included imputation of missing data. We randomly divided the data into an 80% training sample and used the remaining 20% for model evaluation. The AUC for the full model was 0.664. A reduced model without SNPs performed similarly (AUC = 0.649). Both models performed better than a baseline model that included age and study site only (AUC = 0.563). The best predictive power was obtained in the full model among women younger than 50 years of age (AUC = 0.714); however, the addition of SNPs increased the AUC the most for women older than 50 years of age (AUC = 0.638 vs. 0.616). Adapting this improved model to estimate absolute risk and evaluating it in prospective data sets is warranted.
Indexed as
Identifiers
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.