High-Dose Subcutaneous Immunoglobulin in Patients With Multifocal Motor Neuropathy
Bibliographic record
Abstract
Multifocal motor neuropathy (MMN), an immune neuromuscular condition causing progressive weakness, usually responds to immune-mediated treatments, including intravenous immunoglobulin (IVIG). Fifteen patients with MMN receiving IVIG were enrolled in an open-label, single-center trial and switched to 20% subcutaneous immunoglobulin (SCIG) using a smooth transition protocol (ie, changing the therapy without interruption or impact on the intended outcome of the therapy). Patients received individualized training and support based on motivation and ability to learn, follow directions, and maintain compliance. Although some patients required assistance during the training phase, most managed self-infusion and reported satisfaction in managing therapy autonomously. Educating patients with neuropathies to self-infuse high-dose SCIG at home and with flexibility in dosing schedules was successfully demonstrated in this patient group.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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 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".