The cost of treating relapsed indolent non-Hodgkin's lymphoma in an international setting: retrospective analysis of resource use
Bibliographic record
Abstract
Background and Objectives. Few economic data exist on the treatment of indolent non-Hodgkin ́s lymphoma (NHL) and there are none in the published literature concerning relapsed disease. This international analysis (Canada, Germany, Italy) was established to estimate the overall direct cost of treating patients with relapsed indolent NHL and determine the main cost components of treatment. Design and Methods. Telephone interviews were used to identify the most commonly used treatment regimens in each country. CHOP, CVP and fludarabine were chosen for economic analysis, which was based on retrospective data from 424 patients. Results. Overall treatment costs for a course of six cycles varied more than 5-fold, from EURO3,445 to 17,940 between regimens and countries. The treatment setting had a major impact on costs, with in-patient costs being up to three times greater than the equivalent out-patient values. Drug administration costs comprised 46-60% of the overall treatment costs in the in-patient setting. Adverse event management was the major cost component for out-patient CHOP and CVP therapy (52-75%), and a significant proportion (24-40%) of in-patient costs for these regimens. Drug acquisition accounted for less than half of treatment costs for most of the regimens analyzed. Interpretation and Conclusions. This study shows that not simply drug acquisition costs, but the costs of drug administration, particularly in the in-patient setting, and adverse event management are major contributors to the overall treatment costs for relapsed indolent NHL.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".