Economic Analysis of NCIC CTG JBR.10: A Randomized Trial of Adjuvant Vinorelbine Plus Cisplatin Compared With Observation in Early Stage Non–Small-Cell Lung Cancer—A Report of the Working Group on Economic Analysis, and the Lung Disease Site Group, National Cancer Institute of Canada Clinical Trials Group
Bibliographic record
Abstract
PURPOSE: National Cancer Institute of Canada Clinical Trials Group JBR.10 study is among the landmark trials that have established third generation platinum-based adjuvant chemotherapy as the standard of care after resection of stages IB-II NSCLC, improving absolute 5-year survival by 15% and median survival by 21 months. This cost-effectiveness analysis of adjuvant chemotherapy from the perspective of Canada's public health care system was undertaken based on the JBR.10 study population. PATIENTS AND METHODS: The primary outcome of the study was the incremental cost effectiveness ratio (ICER) expressed in dollars per life-year gained (LYG). Direct medical resource utilization data were collected retrospectively from trial data and medical records of patients enrolled in the JBR.10 study at the five largest accruing Canadian centers, from the time of random assignment until death or study closure (April 2004). Survival and available costs (2005 Canadian dollars [$CAD]) are presented both with and without discounting at 5% per year. RESULTS: Utilization data were collected from 172 Canadian patients (36% of the trial population), 85 randomly assigned to observation and 87 randomly assigned to chemotherapy. The mean costs of treatment per patient in the observation and adjuvant chemotherapy arms were $23,878 and $31,319, respectively, with an ICER of CAD$7,175/LYG discounted (95% CI, -$3,463 to $41,565), and $10,096/LYG undiscounted (95% CI, -$819 to $55,651). CONCLUSION: Adjuvant vinorelbine plus cisplatin is a highly cost effective treatment that compares very favorably with other standard health care interventions.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".