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Record W4400068217 · doi:10.20935/acadonco6247

Implications of risk-reducing bilateral mastectomy among breast cancer susceptibility gene carriers: well-being and function

2024· article· en· W4400068217 on OpenAlexaboutno aff
Asnat Bar-Haim Erez, Rachel Jacobs-Braun, Pnina Mor, Danit Langer

Bibliographic record

VenueAcademia oncology. · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMastectomyMedicineFunction (biology)Breast cancerOncologyInternal medicineBiologyGeneticsCancer

Abstract

fetched live from OpenAlex

Background: Risk-reducing bilateral mastectomy (RRBM) is the most effective method for reducing the risk of breast cancer in women with breast cancer susceptibility gene (BRCA) mutations. There’s a paucity of knowledge regarding the broad implications of the surgery. This study aims to investigate RRBM’s effect on women’s activities of daily living, physical function, body image, and well-being. Methods: In total, 46 BRCA mutation carriers (n = 22 underwent RRBM; n = 24 control group) participated. Participants answered online questionnaires such as Quick Disabilities of the Arm Shoulder and Hand, Personal Well-being Index, WHODAS, Body Image Scale, and McGill Pain Questionnaire. Findings: Women who underwent RRBM reported a decline in body image and intimacy. However, they described improved health-related well-being and less fear of cancer than the control group. Women felt that there was insufficient support in the complex physical and functional recovery from the surgery. Conclusions: Most women felt the advantages of the surgery; however, it appears that more professional assistance focusing on daily living and physical function could be valuable in the recovery process.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.009
GPT teacher head0.296
Teacher spread0.288 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2024
Admission routes1
Has abstractyes

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