Chronic inflammatory demyelinating polyneuropathy disease activity status: recommendations for clinical research standards and use in clinical practice
Bibliographic record
Abstract
Defining long-term outcomes in chronic inflammatory demyelinating polyneuropathy (CIDP) has been complicated by varying definitions of treatment response and differing scales measuring impairment or disability. An expert panel was convened to devise a CIDP Disease Activity Status (CDAS) and to classify long-term outcome by applying it to 106 patients with a consensus diagnosis of CIDP. Sixty of these cases were graded blindly by three independent reviewers to assess inter-rater reliability. The mean duration of follow-up was 6.4 years (range, 3 months-23 years). Eleven percent of patients were classified as cured (stable examination and off treatment for ≥5 years), 20% were in remission (stable and off treatment for <5 years), 44% had stable active disease but required ongoing therapy for at least 1 year, 7% were improving after recent initiation of therapy, and 18% had unstable active disease (treatment naïve or treatment refractory). Excellent inter-rater reliability was observed (kappa scores: 0.93-0.97; p < 0.0001). The CDAS is considered a simple and reproducible tool to classify patients with CIDP according to disease activity and treatment status that can be applied easily in practice and potentially to select patients for clinical trials.
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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 | 0.339 | 0.411 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.010 | 0.006 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".