Delphi panel to understand the real-world occurrence and management of ofatumumab injection-related reactions among healthcare providers of people with relapsing multiple sclerosis
Bibliographic record
Abstract
Background: People with relapsing forms of multiple sclerosis (PwRMS) treated with ofatumumab, a fully human anti-CD20 monoclonal antibody, can experience local/systemic injection-related reactions (IRRs). However, data on the occurrence and management of local/systemic IRRs in real-world clinical settings are limited. Objective: This study aimed to better understand clinicians' perspectives regarding occurrence and management of local/systemic IRRs among PwRMS treated with ofatumumab in clinical practice. Methods: A panel of US-based neurologists and advanced practice providers experienced with ofatumumab therapy in PwRMS participated in a three-round online modified Delphi study. In round 1, participants completed a demographics survey and Delphi questionnaire on IRR management. In round 2, they attended a live webinar to obtain feedback on round 1 results. In round 3, they reviewed round 1 and 2 feedback and provided their final responses. Results: = 4) completed all three rounds. Participants strongly agreed that local/systemic IRRs, regardless of severity, were unlikely with ofatumumab. Pre-/post-treatment of systemic IRRs was not uniformly required. Conclusion: This study gives health care providers insight into the potential occurrence and management of IRRs with ofatumumab in the clinical practice setting.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".