ArticleJournal of personalized medicine2021
Challenges to Building a Gene Variant Commons to Assess Hereditary Cancer Risk: Results of a Modified Policy Delphi Panel Deliberation.
Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Using best-worst scaling to inform policy decisions in Africa: a literature review.BMC public health · 2024Pooled it
- Multidisciplinary stakeholder-informed identification of key characteristics for implementation of workplace genetic testing.HGG advances · 2025Article
- Local context review by single institutional review boards: Results from a modified Delphi process.Journal of clinical and translational science · 2025Article
- An ethical code for collecting, using and transferring sensitive health data: outcomes of a modified Policy Delphi process in Singapore.BMC medical ethics · 2023Article
- Paving a pathway for large-scale utilization of genomics in precision medicine and population health.Frontiers in sociology · 2023Article
- Fresh takes on five health data sharing domains: Quality, privacy, equity, incentives, and sustainability.Frontiers in big data · 2023Article
- Equity and Inclusion in Assessing Hereditary Cancer Risk: Insights From Excluded Communities, Structured Interviews, and Population Genetics.Cancer control : journal of the Moffitt Cancer CenterReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Understanding the clinical significance of variants associated with hereditary cancer risk requires access to a pooled data resource or network of resources-a "cancer gene variant commons"-incorporating representative, well-characterized genetic data, metadata, and, for some purposes, pathways to case-level data. Several initiatives have invested significant resources into collecting and sharing cancer gene variant data, but further progress hinges on identifying and addressing unresolved policy issues. This commentary provides insights from a modified policy Delphi process involving experts from a range of stakeholder groups involved in the data-sharing ecosystem. In particular, we describe policy issues and options generated by Delphi participants in five domains critical to the development of an effective cancer gene variant commons: incentives, financial sustainability, privacy and security, equity, and data quality. Our intention is to stimulate wider discussion and lay a foundation for further work evaluating policy options more in-depth and mapping them to those who have the power to bring about change. Addressing issues in these five domains will contribute to a cancer gene variant commons that supports better care for at-risk and affected patients, empowers patient communities, and advances research on hereditary cancers.
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.