Gender and Age Determinants of Psychogenic Movement Disorders: A Clinical Profile of 73 Patients
Bibliographic record
Abstract
BACKGROUND: Psychogenic movement disorders (PMD) is a group of disorders that cannot be attributed to any structural or biochemical abnormality, but has an underlying psychiatric illness. The profile of PMD varies according to country and socioeconomic factors. METHODS: The present study reports the clinical profile of patients with PMD from India. Seventy-three patients with documented or clinically established PMD were seen over a period of 14 years with detailed neurological and psychiatric examinations. RESULTS: The mean age at presentation was 29.1±15.1 years (women, 51%). Approximately 30% were ≤18 years of age (boys, 63.6%). The onset of symptoms was abrupt in 61.6% and the initial body part most often affected was right upper limb (adults, 29.4%; children, 31.8%). Tremor was observed in 31.4% of adults and 9% of children, whereas myoclonus was more common in children (36.4%). Tremors were more often seen in women (42.3%) than in men (20%), whereas myoclonus was almost equally prevalent in girls (37.5%) and boys (35.7%). Depression was the most common psychiatric comorbidity (men, 16%; women, 15.4%). About 42.5% required hospital admission and 57.5% had significant reduction or complete cessation of PMD after counseling, antidepressants, and/ or placebo. CONCLUSIONS: PMD was equally prevalent among women and men. Tremor was most often observed in adults, whereas myoclonus was most often observed in children. Electrophysiology and placebo were useful supplementary tools for diagnosing PMD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".