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XELODA® AND TAXOTERE®: A REVIEW OF THE DEVELOPMENT OF THE COMBINATION FOR USE IN METASTATIC BREAST CANCER

2003· review· en· W4367362646 on OpenAlexaff
Fiona McDonald, David Miles

Bibliographic record

VenueInternational Journal of Clinical Practice · 2003
Typereview
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineDocetaxelCapecitabineMetastatic breast cancerOncologyInternal medicineBreast cancerAnthracyclineAdverse effectHazard ratioChemotherapyCancerConfidence intervalColorectal cancer

Abstract

fetched live from OpenAlex

SUMMARY Docetaxel (Taxotere®) and capecitabine (Xeloda®) demonstrate synergy in pre‐clinical studies and both show high single‐agent efficacy in metastatic breast cancer patients previously treated with an anthracycline. The two drugs used in combination in a similar group of patients have been evaluated in a randomised phase III trial comparing this combination with single‐agent docetaxel. The results of this study indicate the combination arm to be favourable with significantly superior median time to disease progression (6.1 vs 4.2 months, hazard ratio 0.652, p=0.0001), objective response rate and overall survival without a significant increase in the overall incidence of treatment related adverse effects. This combination of docetaxel and capecitabine provides improved survival prospects for patients with metastatic breast cancer. Ongoing studies will provide further data to optimise the scheduling and use of this combination in the future.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
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 head0.327
GPT teacher head0.599
Teacher spread0.272 · 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 designOther design
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

Citations12
Published2003
Admission routes1
Has abstractyes

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