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Record W2072050498 · doi:10.1177/1078155207085387

Efficacy vs. effectiveness — docetaxel and prednisone in hormone refractory prostate cancer

2008· article· en· W2072050498 on OpenAlexaboutno aff
Diana N Howard, Carole Chambers, Frances Cusano

Bibliographic record

VenueJournal of Oncology Pharmacy Practice · 2008
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsDocetaxelMedicinePrednisoneInternal medicineProstate cancerOncologyCancerChemotherapyClinical trialRetrospective cohort study

Abstract

fetched live from OpenAlex

OBJECTIVES: To assess the clinical effectiveness of docetaxel and prednisone in a clinical setting and to compare the results to those seen in the pivotal clinical trial. To assess the impact of various factors on the prognosis of patients treated with docetaxel. DESIGN: Retrospective chart review. The primary outcome measured was survival. Survival data was analyzed through the Kaplan-Meier methodology. A multivariate analysis of prognostic variables was also conducted. SETTING: Public cancer centers within the Canadian province of Alberta. PATIENTS: Hormone refractory, metastatic prostate cancer patients initiated on docetaxel chemotherapy between September 2004 and February 2007 within the Alberta Cancer Board. Main Outcome Measured. The primary outcome measured was median survival. RESULTS: Among 161 patients eligible for review, median survival was 17.22 months. Chemotherapy received after docetaxel was determined to be a significant favorable prognostic factor for survival (p<0.0001). CONCLUSION: In a clinical setting, docetaxel and prednisone did not perform as well in terms of median survival, as it was shown to in prior clinical trials (17.22 vs. 18.9 months). Further investigation into the impact of docetaxel and prednisone on quality of life in clinical practice, would complement the findings of this study.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.065
GPT teacher head0.451
Teacher spread0.386 · 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
Published2008
Admission routes1
Has abstractyes

Explore more

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