ReviewAnnals of translational medicine2020
Current practices on genetic testing in ovarian cancer.
Review in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 26 citations in OpenAlex.
- Early Cancer Detection: What's Going on and What's Next.MedComm · 2026Review
- Development and validation of gene expression-based signature for high-grade serous ovarian cancer.Journal of ovarian research · 2026Article
- Bioinformatic Approach to Identify PotentialInternational journal of molecular sciences · 2025Article
- When Teratomas Turn Brutal: From Indolent to Invasive in Stage IIIB Ovarian Squamous Cell Carcinoma.Cureus · 2025Article
- Synergistic antitumor effect of liposomal-based formulations of olaparib and topotecan in primary epithelial ovarian cancer cells.Cancer cell international · 2024Article
- Trends and frontiers of maintenance therapy for ovarian cancer over the past 20 years: a bibliometric analysis.Future oncology (London, England) · 2024Article
- Developments in Genetics: Better Management of Ovarian Cancer Patients.International journal of molecular sciences · 2023Review
- Leveraging an Informatics Approach to Identify an Unmet Clinical Need forJCO clinical cancer informatics · 2022Article
- Epithelial Ovarian Cancer: Providing Evidence of Predisposition Genes.International journal of environmental research and public health · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epithelial ovarian cancer (EOC) is probably the tumor type with the highest percentage of hereditary cases observed, irrespectively of selection criteria. A fourth to a fifth of unselected epithelial EOC patients carry pathogenic variants (PVs) in a number of genes, the majority of which encode for proteins involved in DNA repair pathways.
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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.