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Predictors of Quality of Life in Women with a Bilateral Prophylactic Mastectomy

2005· article· en· W2154387734 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Breast Journal · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsCoalition for Research in Women's HealthUniversity Health NetworkSunnybrook Health Science CentreWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicinePsychosocialQuality of life (healthcare)DistressMastectomyPsychological distressPopulationVulnerability (computing)Breast cancerClinical psychologyCancerPsychiatryInternal medicineAnxiety

Abstract

fetched live from OpenAlex

The purpose of this study was to assess the quality of life in women who had previously undergone a bilateral prophylactic mastectomy and to determine what factors predict quality of life in this population. Women in Ontario who had undergone prophylactic mastectomy between 1991 and 2000 were asked to complete several questionnaires that assessed current psychosocial functioning, including the Quality of Life Index (QLI). The mean score for the QLI was 23.34 (range 9.53-30.00). QLI scores were negatively correlated with cancer-related distress, body image difficulties, and psychological distress. Conversely, QLI scores were positively correlated with social support. Significant predictors of quality of life included psychological distress and one subscale of body image (vulnerability). Vulnerability and psychological distress are important predictors of quality of life in women who have previously undergone bilateral prophylactic mastectomy.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 integrity0.0000.000
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 head0.020
GPT teacher head0.279
Teacher spread0.259 · 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