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Local and Regional Therapy for Women with Breast Cancer in British Columbia

2003· article· en· W2027033426 on OpenAlexaffabout
T. Gregory Hislop, Andrew J. Coldman, Ivo A. Olivotto, Yulia Dyachkova, Caroline Speers

Bibliographic record

VenueThe Breast Journal · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsMedicineBreast cancerRadiation therapyCancerDuctal carcinomaAxillary Lymph Node DissectionGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

British Columbian provincial practice guidelines (PPGs) have recommended breast-conserving surgery (BCS), axillary node dissection, and radiation therapy following BCS for specific subgroups of breast cancer patients. Patient-, disease-, and physician-specific factors associated with these therapies were investigated in nonmetastatic invasive breast cancer patients. Temporal trends in BCS and physicians' experiences with PPGs were also examined. Sources of data for patient, disease, treatment, and treating physician factors included medical records, source documents, and the British Columbia Medical Directory for 967 nonmetastatic invasive breast cancer patients diagnosed in British Columbia in 1995. BCS utilization among 496 patients with pathologically node-negative breast cancer (NNBC) was compared to earlier British Columbian data. Family physicians and surgeons were surveyed in 1997 regarding their experience with PPGs. 57% of "ideal" candidates received BCS; 87% of patients received axillary node dissection; and 95% of women treated with BCS also received radiation therapy. Tumor size, tumor location, and extent of ductal carcinoma in situ (DCIS) were associated with BCS use; age, tumor size, and tumor location were associated with axillary node dissection; and age alone was associated with radiation therapy following BCS. Fifty-four percent of NNBC patients received BCS in 1995, compared to 44% in 1991, with increases seen in most patient-, disease-, and physician-specific comparisons. The increase in BCS, and high proportion completing radiation therapy, are encouraging and may be due in part to greater exposure to PPGs.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.996

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 integrity0.0000.000
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 head0.006
GPT teacher head0.225
Teacher spread0.219 · 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

Citations8
Published2003
Admission routes2
Has abstractyes

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