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Record W4321230091 · doi:10.3390/curroncol30020185

The Psychosocial Impact of the Decision to Undergo Risk-Reducing Salpingo-Oophorectomy Surgery in BRCA Mutation Carriers and the Role of Physician-Patient Communication

2023· review· en· W4321230091 on OpenAlexvenueno aff
Ana C. Alves-Nogueira, Daniela Melo, Carlos Carona, Margarida Figueiredo-Dias

Bibliographic record

VenueCurrent Oncology · 2023
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsnot available
FundersUniversidade de Coimbra
KeywordsPsychosocialMedicineDistressBRCA mutationProphylactic SurgeryBreast cancerMultidisciplinary approachGynecologyIntensive care medicineFamily medicineCancerClinical psychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

mutations and presenting an increased risk of developing breast or ovarian cancer. This procedure is related to physiological, sexual, and psychosocial distress, which altogether increase uncertainty and complexity in the clinical decision-making process and post-surgery adaptation. Physician-patient communication (PPC) has been pointed out as a determinant factor in the decision-making to undergo RRSO, and the subsequent adjustment of women. However, studies examining the psychosocial impact of the decision-making process have been scarce and often lack clear theoretical frameworks. While the role of PPC in such processes has been highlighted in a few qualitative studies, there is a paucity of quantitative research addressing this question. Therefore, this narrative review, conducted using a multidisciplinary approach, was planned to: (1) present an updated medical background for RRSO; (2) analyze the psychosocial impact of the decision-making process within a theoretical framework of the Health Belief Model; and (3) discuss the role of PPC in such a decision-making process and in post-surgery. The collected research also enabled the recommendation of some additions to the existing clinical guidelines and the outlining of future research directions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.053
GPT teacher head0.424
Teacher spread0.371 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations16
Published2023
Admission routes1
Has abstractyes

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