Variability in clinical phenotypes of heterozygous and homozygous cases of<i>Parkin-</i>related Parkinson's disease
Bibliographic record
Abstract
Amanda J. Thompsona, Sonja W. Scholz, Andrew B. Singletonc, Angela Hardwicka, Nikolaus R. McFarlanda & Michael S. Okuna*a 1Departments of Neurology and Neurosurgery, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, USAb 2Department of Neuroscience, Georgetown University, Washington, DC, USAc 3Laboratory of Neurogenetics, National Institutes of Health, Bethesda, MD, USACorrespondence: Dr Michael S. Okun, Departments of Neurology and Neurosurgery, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL 32607, USA. Tel: 352-294-5400. Fax: 352-273-5575. E-mail: okun@neurology.ufl.eduParkin mutations are a common cause of early-onset Parkinson's disease. To study the clinical features and treatment responses of patients with homozygous or heterozygous Parkin mutations, we performed a retrospective chart review in six early-onset parkinsonism patients with pathogenic Parkin mutations. The clinical phenotypes observed in this cohort, all drawn from different families, were variable. All patients had a slowly progressive form of parkinsonism that responded well to dopaminergic therapy with the exception of one advanced case. Homozygous patients had an earlier age at disease onset than heterozygous patients. Two of our patients underwent bilateral deep brain stimulation (DBS) of the subthalamic nucleus or globus pallidus leading to a sustained positive response. Our observations support an earlier age of onset for homozygous cases and possible beneficial effects of DBS in Parkin-related parkinsonism.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".