Canadian perspectives in multiple myeloma on the use of steroids in clinical practice based on patient and healthcare provider interviews
Bibliographic record
Abstract
Corticosteroid (steroid) medications are associated with challenging adverse effects that can negatively impact patient quality of life. However, owing to a long legacy of effective use in treatment protocols, they remain a cornerstone of multiple myeloma (MM) care. We conducted a roundtable with Canadian healthcare providers (HCPs) with diverse healthcare backgrounds and involvement in MM care as well as with patients with MM. Our goal was to develop clear guidance for steroid management aimed at improving patient quality of life, taking into account patient perspective and experiences with managing the disease. Our recommendations, which are based on the insights acquired from this discussion, can be categorized to the following areas: steroid prescribing, dosing, and modifications; managing adverse effects; and patient-HCP communication. These recommendations can be used by the entire multi-disciplinary hematology team to improve patient quality of life while being treated with steroid medication for multiple myeloma.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".