The psychosocial and cognitive impact of longstanding ‘benign’ multiple sclerosis
Bibliographic record
Abstract
BACKGROUND: Benign multiple sclerosis (BMS) is typically defined using the Expanded Disability Status Scale (EDSS), which relies heavily on ambulation. We set out to examine important psychosocial and cognitive outcomes in patients with longstanding BMS compared with patients who had recently progressed to 'no longer benign' (NLB). METHODS: A previously reported cohort of BMS (EDSS ≤3 at 20 years disease duration) were re-assessed 25-30 years post-onset. Patients remaining benign (EDSS ≤3 at re-assessment) were compared with those NLB for: depression (Beck Depression Inventory), fatigue (Modified Fatigue Impact Scale), health-related quality of life (MSQoL-54), cognition (Rao's Neuropsychological Screening Battery), and employment status. RESULTS: A total of 75% (66/88) of the original cohort were located. A total of 61 patients were re-assessed. Twenty-five patients (41%) had progressed in EDSS and were NLB. Compared with benign patients, those NLB were more likely to have: significant fatigue (15/36 [42%] vs. 18/25 [72%], p = 0.019); poorer physical functioning (mean MSQoL-54 = 67.30 vs. 50.89, p = 0.002); an MS-related negative change in employment status (13/36 [36%] vs. 21/25 [84%], p < 0.0001) and cognitive impairment (3/28 [11%] vs. 5/19 [26%]; trend only, p = 0.317). Depression and mental health quality if life differed little between the benign and NLB patients (p > 0.6). CONCLUSIONS: Despite remaining benign for 20 years, a significant proportion of patients progressed with further follow up. While neither depression nor patient-reported mental health quality of life was associated with EDSS progression, patients with longstanding 'benign' MS (EDSS ≤3 for 25+ years) had less fatigue, better physical quality of life and employment outcomes and infrequent cognitive impairment. Remaining benign over the long term, as defined by the EDSS, carried some advantages beyond ambulation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".