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Record W2092560917 · doi:10.3747/co.v18i2.730

Capecitabine or Infusional 5-fluorouracil for Gastroesophageal Cancer: A Cost–Consequence Analysis

2011· article· en· W2092560917 on OpenAlexaffvenueabout
AF Horgan, J. J. Knox, Geoffrey Liu, Chakshu Sahi, Penelope A. Bradbury, Natasha B. Leighl

Bibliographic record

VenueCurrent Oncology · 2011
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsCapecitabineMedicineEpirubicinFluorouracilRegimenIndirect costsOncologyInternal medicineClinical trialCancerIntensive care medicineColorectal cancerBreast cancer

Abstract

fetched live from OpenAlex

BACKGROUND: In patients with advanced gastroesophageal cancer, the phase iii Randomized ECF for Advanced and Locally Advanced Esophagogastric Cancer 2 (real-2) trial demonstrated equivalent clinical efficacy when capecitabine (x) was substituted for 5-fluorouracil (5fu) in the epirubicin-cisplatin-5fu (ecf) regimen. The present analysis compares the direct medical costs associated with both regimens. METHODS: This cost-consequence analysis of direct medical costs took resource utilization data from the real-2 trial where available. Direct medical costs were derived from the perspective of the Canadian public health care system in 2008 Canadian dollars. Mean cost per patient on each treatment arm was calculated. RESULTS: Drug costs from start of treatment until first progression, including pre- and post-chemotherapy medications and administration costs, totalled $5,344 for ecx as compared with $3,187 for ecf. Costs for treatment of adverse events were estimated at $2,621 for ecx as compared with $3,397 for ecf. An additional cost of $873 was associated with insertion of an implanted venous access. Total incremental cost of ecx over ecf was $508. CONCLUSIONS: In advanced gastroesophageal cancer, capecitabine is an attractive alternative to 5fu. Although the drug cost per se is greater, use of capecitabine is associated with decreased consumption of hospital resources. Not only does capecitabine fit with patient preference for oral therapy, it also avoids the inconvenience and complications of central venous access.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.230
GPT teacher head0.433
Teacher spread0.204 · 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.

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

Citations4
Published2011
Admission routes3
Has abstractyes

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