Multiple Myeloma: From Front-Line to Relapsed Therapies
Bibliographic record
Abstract
Recent developments in the treatment of multiple myeloma (MM) have led to improvements in response rates and to increased survival. A major advance in the last decade has been the introduction of the novel agents thalidomide, bortezomib, and lenalidomide as part of front-line treatment in both the transplant and nontransplant settings. However, disease relapse is inevitable for the majority of patients and myeloma typically recurs more aggressively with each relapse, eventually leading to the development of treatment-refractory disease. Several phase II and III trials have demonstrated the efficacy of recently approved agents in the setting of relapsed and relapsed and refractory MM, including pomalidomide and carfilzomib. Ixazomib, an oral proteasome inhibitor, and multiple other novel classes of agents are being investigated. These include monoclonal antibodies and histone deacetylase inhibitors, which may further add to the therapeutic armamentarium for this malignancy. Therefore, in a disease characterized by multiple relapses, the optimal sequencing of the different effective options is an important consideration in attempting to prolong survival.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".