Cost–effectiveness of lenalidomide plus low-dose dexamethasone for newly diagnosed multiple myeloma patients ineligible for stem cell transplantation in China
Bibliographic record
Abstract
Aim: To assess the cost–effectiveness of lenalidomide plus low dose dexamethasone (Rd) relative to bortezomib-contained therapy (BCT) for newly diagnosed multiple myeloma patients ineligible for stem cell transplantation (ndMM) in China. Materials & methods: A literature review was conducted to identify appropriate evidence for developing a cost–effectiveness model comparing Rd with BCT for lifetime health outcomes and direct medical costs in Chinese ndMM patients. Results: The estimated incremental cost–effectiveness ratio per gained quality-adjusted life years for Rd versus BCT was ¥49,793. The chance for Rd to be cost effective, under the cost–effectiveness thresholds of three-times the 2018 Chinese gross domestic goods per capita, was 90.8%. Conclusion: The cost–effectiveness of Rd relative to BCT for ndMM in Chinese patients is highly attractive.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".