Role of Bone Marrow Transplantation in the Disease Pathway of Myeloma
Bibliographic record
Abstract
In multiple myeloma, autologous stem cell transplantation (ASCT) has been considered a standard of care in younger patients. The introduction of novel agents (i.e., thalidomide, lenalidomide, and bortezomib) may change this scenario. These agents can be administered before or after ASCT with the goal of increasing the complete remission (CR) rate and prolonging remission. For instance, thalidomide given as maintenance therapy after double ASCT increases CR rate, event-free survival (EFS), and overall survival. Moreover, combinations of conventional chemotherapy with novel agents such as thalidomide or bortezomib yield CR rates and EFS comparable to those achieved with standard single ASCT. Prospective randomized studies are needed to evaluate the impact of novel agents versus or in combination with ASCT. Myeloablative conditioning regimens before allogeneic stem cell transplantation are being replaced with concurrent autologous-transplantation and reduced-intensity conditioning allogeneic stem cell transplantation. Transplant-related mortality associated with this procedure is lower, but more follow-up is needed before definite conclusions can be drawn.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 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) | 0.004 | 0.002 |
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".