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Record W2109401203 · doi:10.1200/jco.2005.02.7771

Conservation Surgery for Breast Cancer As the Preferred Choice: A Prospective Analysis

2006· article· en· W2109401203 on OpenAlexaffabout
Walley Temple, Margaret L. Russell, Louise L. Parsons, Sylvia M. Huber, Charlotte Jones, Jane Bankes, Michael Eliasziw

Bibliographic record

VenueJournal of Clinical Oncology · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsUniversity of CalgaryAlberta Health Services
Fundersnot available
KeywordsMedicineLogistic regressionBreast cancerProspective cohort studyFamily medicineMastectomyCancerSurgeryGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To describe the proportion of women who anticipate having breast-conserving surgery (BCS) versus modified radical mastectomy (MRM), the factors they considered when making treatment choices, the degree to which they perceived they had participated in and had control of the treatment decision, and to explore factors associated with type of planned surgery. PATIENTS AND METHODS: Prospective cohort study conducted among patients attending a tertiary care hospital in Alberta, Canada from 1992 to 1995. Participants had a first diagnosis of localized unilateral breast cancer, and were, in the opinions of their surgeons, candidates for either BCS or MRM. RESULTS: Of 157 participants, 71.3% anticipated having BCS and 28.7% anticipated MRM. Referents perceived to play an important role in decision making included self, doctor, and significant other. The two top-ranked items perceived to have influenced treatment choice were doctor's advice and possibility of complete cure. Most women (60%) participated in treatment choice to the degree that they preferred, but only 13.6% received their preferred amount of information. The type of planned surgery was predicted by surgeon, contribution of doctor to choice of treatment, importance of breasts to sexuality, self-efficacy, and concerns about cancer recurrence from a multivariable logistic regression model. CONCLUSION: Both patient and surgeon factors are important predictors of type of planned surgery. There is a gap between women's preferences and actual experiences with regard to information provided and patient participation in treatment choices, with women's desire for more information about their treatment being most prevalent.

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)0.001
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 score0.023
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.066
GPT teacher head0.437
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 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

Citations70
Published2006
Admission routes2
Has abstractyes

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