Understanding the consequences of chronic inflammatory demyelinating polyradiculoneuropathy from impairments to activity and participation restrictions and reduced quality of life: the ICE study
Bibliographic record
Abstract
A randomized trial (ICE trial) in chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) demonstrated significantly more improvement with intravenous immunoglobulin (Gamunex(®), Talecris Biotherapeutics, Inc., Research Triangle Park, NC) than placebo. To understand the relationship between CIDP impairments, activity and participation restrictions, and quality of life (QoL) in this trial, we investigated the association between scales representing these outcome levels. Gamunex or placebo was given every 3 weeks for up to 24 weeks to 117 patients in an initial treatment period after which treatment failures were crossed over (alternative treatment). We assessed impairments, activity and participation, and SF-36 component mental (MCS) and physical summaries (PCS). Regression analyses of baseline data were performed (all subjects) and change from baseline to endpoint (Gamunex-treated group only) to determine correlations between outcomes. Grip strength, medical research council (MRC) sum score, and inflammatory neuropathy cause and treatment (INCAT) sensory sum score were the strongest explanatory variables of disability (at baseline: r(2) = 0.46; change from baseline: r(2) = 0.66). Only up to half of the variance in QoL scores (PCS at baseline: r(2) = 0.30; change from baseline: r(2) = 0.41; MCS: at baseline: r(2) = 0.10; change from baseline: r(2) = 0.24) was explained by impairment and activity and participation measures. Future studies are required to elucidate the impact of CIDP on disability and QoL changes, because the obtained correlations provide only partial explanation.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".