Brain atrophy and disability worsening in primary progressive multiple sclerosis: insights from the <scp>INFORMS</scp> study
Bibliographic record
Abstract
Abstract Objective To investigate the relationship between brain volume and disability worsening over ≥3 years in the natural history of primary progressive multiple sclerosis using data from the placebo group of the INFORMS trial ( n = 487; clinicaltrials.gov NCT 00731692). Methods Magnetic resonance imaging scans were collected annually. Brain volume loss was determined using SIENA . Patients were stratified by baseline normalized brain volume after adjusting for demographic and disease‐burden covariates. Results Baseline normalized brain volume was predictive of disability worsening: Risk of 3‐month confirmed disability progression was reduced by 36% for high versus low baseline normalized brain volume (Cox's model hazard ratio 0.64, P = 0.0339; log‐rank test: P = 0.0297). Moreover, on‐study brain volume loss was significantly associated with disability worsening ( P = 0.012) and was evident in patients with or without new lesions or relapses. Brain volume loss depended significantly on baseline T2 lesion volume ( P < 0.0001). Despite low inflammatory activity at baseline (13% of patients had gadolinium‐enhancing lesions) and throughout the study (mean 0.5 new/enlarging T2 lesions and 172 mm 3 T2 lesion volume increase per year), baseline T2 lesion volume was substantial (mean 10 cm 3 ). Lower normalized brain volume at baseline correlated with higher baseline T2 volume and older age (both P < 0.0001). Interpretation Baseline brain volume and the rate of ongoing brain atrophy are significantly associated with disability worsening in primary progressive multiple sclerosis. Brain volume loss is significantly related to baseline T2 lesion volume, but partially independent of new lesion activity, which might explain the limited efficacy of anti‐inflammatory treatment.
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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 | 0.003 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".