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Record W2777607836 · doi:10.1002/mgg3.363

Short report: Follow‐up of Bahamian women with a <i>BRCA1</i> or <i>BRCA2</i> mutation

2017· article· en· W2777607836 on OpenAlexafffund
Steven A. Narod, Raleigh Butler, David Bobrowski, Mohammad R. Akbari, D. Curling, John Lunn, Catherine Ngoc Ho, Sara Panahi, M Llacuachaqui, Talia Donenberg, Judith Hurley

Bibliographic record

VenueMolecular Genetics & Genomic Medicine · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsPublic Health OntarioWomen's College HospitalUniversity of Toronto
FundersUniversity of TorontoWomen's College Hospital
KeywordsMutationGeneticsMedicineBiologyGene

Abstract

fetched live from OpenAlex

PURPOSE: We sought to determine to what extent the knowledge of carrying a BRCA1 or BRCA2 mutation influences the uptake of preventive surgeries in Bahamian women, including bilateral salpingo-oophorectomy and bilateral mastectomy. PATIENTS AND METHODS: The study population consisted of 78 female residents of the Bahamas for whom a BRCA1 or BRCA2 mutation had been detected between 2004 and 2014. The mean age of the 78 participants at the time of genetic testing was 46 years (age range 22-73 years). The mean time of follow-up was 4.4 years. RESULTS: Of the 78 study participants, 19 women had a bilateral salpingo-oophorectomy (24%). Seven out of 37 patients who had unilateral breast cancer chose to remove the unaffected contralateral breast (19%). Three of 13 patients with no history of breast cancer chose to have a prophylactic bilateral mastectomy (23%). CONCLUSION: Preventive surgery is an acceptable option for a significant proportion of Bahamian women with a BRCA1 or BRCA2 mutation. It will be important to identify and reduce barriers to preventive surgery in the Bahamas in order that the benefit of getting testing can be fully realized.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.283
Teacher spread0.268 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2017
Admission routes2
Has abstractyes

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