Multiple System Atrophy Without Dysautonomia: An Autopsy-Confirmed Study.
Bibliographic record
Abstract
Multiple system atrophy (MSA) is a neurodegenerative disorder characterized by 3 core symptom complexes: parkinsonism, cerebellar syndrome, and dysautonomia. Recent Movement Disorder Society (MDS) criteria allow for the clinical diagnosis of MSA based solely on motor symptoms, without requiring dysautonomia. This study aimed to evaluate the frequency and disease trajectory of MSA patients without dysautonomia compared with those with autonomic involvement.A multicenter cohort of autopsy-confirmed patients with MSA was analyzed for demographic characteristics, symptom onset, and progression of parkinsonism, cerebellar syndrome, and dysautonomia. Clinical data were collected through standardized chart reviews across participating centers and categorized using the MDS-MSA criteria. Patients were grouped according to their initial symptom complex and tracked for the evolution of additional symptoms. Analyses included time to development of further symptom complexes, age at symptom onset, disease duration, and phenotype at the last recorded visit. Patients with motor symptoms only were matched to patients with similar demographics but with dysautonomia. Statistical methods included ANOVA, t tests, Welch t tests, and χ2 tests, with significance set at p < 0.05.Among 140 patients (mean age at onset 62.3 ± 8.9 years; 44% female), 81 (58%) initially presented without dysautonomia (57 with parkinsonism only, 17 with cerebellar syndrome only, 7 with both). At final follow-up, 12 patients (9%) had not developed dysautonomia. These patients showed significantly longer disease duration (mean 8.1 ± 2.1 years) than matched patients with dysautonomia (mean 6.3 ± 2.6 years; p = 0.035). Overall, 51% of patients developed all 3 symptom complexes. Patients with cerebellar onset progressed more rapidly to multisystem involvement than those with parkinsonian onset (mean interval to second symptom: 2.0 vs 3.4 years; p < 0.05).The MDS-MSA criteria expand the diagnostic scope by identifying a motor-only subgroup with a distinct and potentially slower disease course. These findings underscore the importance of including motor-only patients in natural history and interventional studies. Limitations include retrospective data collection and potential variability in symptom documentation.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".