Granulocyte colony-stimulating factor in secondary prophylaxis for advanced-stage Hodgkin lymphoma treated with ABVD chemotherapy: a cost-effectiveness analysis
Bibliographic record
Abstract
Granulocyte colony-stimulating factor (G-CSF) is commonly administered to patients with Hodgkin lymphoma (HL) with neutropenia. We constructed a decision-analytic model to compare the cost-effectiveness of secondary prophylaxis with G-CSF to a strategy of 'no G-CSF' in response to severe neutropenia for adults with advanced-stage HL treated with ABVD. A Canadian public health payer's perspective was considered and costs were presented in 2013 Canadian dollars. The quality-adjusted life years (QALYs) attained with the G-CSF and 'no G-CSF' strategies were 1.403 and 1.416, respectively. Costs for the strategies with and without G-CSF were $38,971 and $33,982, respectively. In the base case analysis, the 'no G-CSF' strategy was associated with cost savings and improved QALYs; therefore, 'no G-CSF' was the dominant approach. For patients with severe neutropenia during ABVD chemotherapy for advanced-stage HL, a strategy without G-CSF support is associated with improved quality-adjusted outcomes, cost savings, and is the preferred approach.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".