Challenging the Current Approaches to Multiple Myeloma-Related Bone Disease: From Bisphosphonates to Target Therapy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Bone disease (BD) is the hall-mark clinical feature of multiple myeloma (MM), accounting up to 60% of patients with bone pain at diagnosis and 60% with a pathologic fracture during the course of their disease. Experimental models, which recapitulate in vivo the human bone marrow microenvironment (HBMM) in immunodeficient mice have been recently developed as valuable tool for the study of MM pathophysiology as well as the experimental treatment of BD. At present, bisphosphonates are the mainstay treatment of MM-related BD. The growing information on the cellular and molecular bases of BD as well as the availability of novel anti-resorptive agents, such as the IgG1-anti-RANKL (AMG 161) Denosumab, are now depicting a new scenario where the treatment will be afforded by the use of different agents. Furthermore the availability of highthroughput molecular profiling approaches, including DNA microarrays and proteomics, is likely to provide new platforms for patients stratification and treatment individualization on specific targets. It is now the right time for a therapeutical approach which is rationally based on the complexity of the biopathology of MM-related BD.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it