ArticleContemporary clinical trials2025
Family history and cancer risk study (FOREST): A clinical trial assessing electronic patient-directed family history input for identifying patients at risk of hereditary cancer.
Article in Contemporary clinical trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05079334 (Improving Identification and Healthcare for Patients With Inherited Cancer Syndromes), which is not on this map. Cited by 3 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.
Improving Identification and Healthcare for Patients With Inherited Cancer Syndromes: Evidence-based EMR Implementation Using a Web-based Computer Platform
Who cites it
3 citing papers in PubMed.
- Streamlining Inherited Cancer Identification via an EMR-Integrated Risk Assessment Platform: A Nonrandomized Clinical Trial.JAMA network open · 2026Trial
- From tradition to transformation: evolving models of care in clinical genetics.Current opinion in pediatrics · 2025Review
- Outcomes from a Novel Approach to Studying Consumer Genetic Testing for Germline Cancer and Cardiovascular Risk.American journal of medical genetics. Part A · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
backgroundHereditary cancer syndromes cause a high lifetime risk of early, aggressive cancers. Early recognition of individuals at risk can allow risk-reducing interventions that improve morbidity and mortality. Family health history applications that gather data directly from patients could alleviate barriers to risk assessment in the clinical appointment, such as lack of provider knowledge of genetics guidelines and limited time in the clinical appointment. New approaches allow linking these applications to patient health portals and their electronic health records (EHRs), offering an end-to-end solution for patient-input family history information and risk result clinical decision support for their provider.
methodsWe describe the design of the first large-scale evaluation of an EHR-integrable, patient-facing family history software platform based on the Substitutable Medical Applications and Reusable Technologies on Fast Healthcare Interoperability Resources (SMART on FHIR) standard. In our study, we leverage an established implementation science framework to evaluate the success of our model to facilitate scalable, systematic risk assessment for hereditary cancers in diverse clinical environments in a large pragmatic study at two sites. We will also evaluate the success of the approach to improve the efficiency of downstream genetic counseling resulting from pre-counseling pedigree generation.
conclusionsOur research study will provide evidence regarding a new care delivery model that is scalable and sustainable for a variety of medical centers and clinics.
trial registrationThis study was registered on ClinicalTrials.gov under NCT05079334 on 15 October 2021.
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