MétaCan
Menu
Back to cohort
Record W6967050286 · doi:10.48321/d1f8a3d88d

Supporting Genomic Testing in Breast, Ovarian and Endometrial Cancer

2024· other· en· W6967050286 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCalifornia Digital Library · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsEndometrial cancerGenetic testingOvarian cancerPersonalized medicineCancerGermlineTest (biology)Precision medicineEpithelial ovarian cancer

Abstract

fetched live from OpenAlex

Almost 400,000 American women will be diagnosed with breast, ovarian or endometrial cancer in 2024, accounting for over 68,000 deaths. Tumor and germline genomic testing (GT) have become standard of care for these cancers through the rapid transformation of how oncologists characterize and treat cancers. Not only have these cancers long been implicated in several hereditary cancer syndromes but clinical guidelines also now integrate the wide use of GT to provide more precise information about effective therapeutic options and prognosis. Despite continued dissemination of the guidelines, many challenges remain to maximize the benefits of GT and refined treatment selection. Many patients do not receive GT and have a poor understanding of the GT process, their results and its impact of treatment selection. Supporting patients to take an active role in their care through effective patient education and activation, and patient-provider communication improves patient-reported and clinical outcomes. Our prior work demonstrates that integration of patient education, values clarification, and patient activation methods support patient-centered communication and improve knowledge and decision self-efficacy and reduce decisional conflict related to treatment. We build on this compelling prior work to test a digital health tool for integrated tumor and germline testing (Genomic EducatioN and Navigation Assistant; GENNA) to support clinical, decisional, and communication outcomes in breast, ovarian and endometrial cancer. Guided by the Patient Centered Communication Framework and the Ottawa Decision Support Framework, the tool’s components include education, values clarification about treatment decisions, and a question prompt list that can be personalized to address patient concerns and knowledge gaps. We will recruit 400 women who are newly diagnosed or have recently progressed with breast, ovarian and endometrial cancers for whom guidelines recommend GT. They will be recruited from multiple clinic sites within two large academic and community clinical networks in the Mid-Atlantic US, serving diverse patient populations. Our work will be conducted in two phases. In Phase 1, we will refine intervention elements using patient engagement and Learner Verification and Revision methods. In Phase 2, we will conduct a 2-arm randomized trial to compare GENNA vs. usual care. Specific aims are to assess intervention effects on patient-reported outcomes related to therapeutic decision-making and receipt of guideline-based germline and tumor testing and conduct a multi-level and multi-site process evaluation of care delivery from the patient, clinician and system perspective to inform future dissemination. If effective, our strategy will provide a scalable approach to support the expanding group of cancer patients eligible to receive GT and guideline-based care and ultimately impact morbidity and mortality. Methods can expand to other disease sites for which testing has become standard of care.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.205
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.019

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.246
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCalifornia Digital LibraryFrench-language works237,207