Electrophysiology in chronic inflammatory demyelinating polyneuropathy with IGIV
Bibliographic record
Abstract
Patients with chronic inflammatory demyelinating polyneuropathy (CIDP) received immune globulin intravenous, 10% caprylate/chromatography purified (IGIV-C, Gamunex; n=59) or placebo (n=58) every 3 weeks for up to 24 weeks (first period) in a randomized, double-blind, parallel-group, response-conditional, crossover study. Motor and sensory nerves were assessed at baseline and endpoint/week 24. A nonsignificant trend toward improvement in the proximal amplitude of the most severely affected motor nerve was observed with IGIV-C (0.69+/-1.86 mV) versus placebo (0.47+/-2.29 mV), and a greater improvement of 1.08+/-2.15 mV with IGIV-C versus 0.46+/-2.03 mV with placebo (P=0.089) was observed with exclusion of data from Erb's point stimulation. Greater improvements from baseline favoring IGIV-C were observed for 127/142 electrophysiologic parameters. The averaged motor amplitudes from all motor nerves significantly improved with IGIV-C versus placebo [treatment difference, 0.62 mV; 95% confidence interval (CI), 0.05, 1.20; P=0.035], and conduction block decreased significantly (treatment difference, -5.54%; 95% CI, -10.43, -0.64; P=0.027), particularly in the lower limbs. Overall, the data suggest that IGIV-C improves electrophysiologic parameters in CIDP.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| 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".