Prevalence of Parkinson's Disease in 22q11.2 Deletion Syndrome: A Multicenter Study
Bibliographic record
Abstract
BACKGROUND: 22q11.2 deletion syndrome (22q11.2DS) has been associated with increased risk of early-onset Parkinson's disease (PD). OBJECTIVE: To determine the prevalence and predictors of PD in a large international 22q11.2DS sample. METHODS: The sample comprised 856 adults (median age 28 (range 16-76) years; 53.0% female). PD was defined as clinical diagnosis by a neurologist (including bradykinesia, rest tremor and/or rigidity). Age-specific risk and predictors of PD were analyzed using Kaplan-Meier curve and Cox regression. RESULTS: PD was present in 1.8% (95% CI: 0.9-2.6%) of the sample, 3.4% (95% CI: 2.2-4.6%) when including uncertain PD (clinical diagnosis or suspicion, but not meeting all criteria), and 14.0% (95% CI: 6.9-21.0%) of those aged ≥50 years. Median age at motor onset was 45 (range 20-66) years. None of the factors considered were associated with PD. CONCLUSIONS: Given high PD prevalence and young onset, we propose periodic motor evaluations from age 40 years in 22q11.2DS.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".