Treatment Outcomes of Multiple Myeloma in Developing Countries: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Multiple myeloma (MM) treatment outcomes in developing countries may be impacted by resource constraints. This systematic review and meta-analysis evaluated efficacy outcomes of MM treatments across developing regions. Comprehensive searches in five major databases identified 37 eligible studies from Asia, Africa, Latin America, and Eastern Europe. The Newcastle-Ottawa Scale was used to assess risk of bias. Newer novel agents including daratumumab, carfilzomib, and pomalidomide showed limited use across studies. For patients receiving autologous stem cell transplantation (ASCT), the pooled overall survival rate at longest follow-up (2.5-12.5 years) was 62% (95% CI: 48-75%), with high heterogeneity (I²=92%), while the progression-free survival rate at longest follow-up (3-8 years) was 44% (95% CI: 23-67%). Comparative analyses demonstrated ASCT was associated with significantly superior 5-year survival compared to conventional chemotherapy (RR: 1.59; 95% CI: 1.38-1.82). Bortezomib-based regimens showed better outcomes than thalidomide-based therapies (HR for overall survival (OS) at 4 years: 0.73; 95% CI: 0.53-1.0) and alkylating agent-based regimens (HR: 0.48; 95% CI: 0.28-0.83). Despite resource limitations, ASCT and certain novel agents are associated with improved survival outcomes for MM patients in developing countries. However, substantial heterogeneity in outcomes suggests variability in healthcare infrastructure, treatment accessibility, and clinical expertise across these regions.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.016 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| 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".