GBA-associated PD presents with nonmotor characteristics
Bibliographic record
Abstract
OBJECTIVE: To evaluate whether there exists distinct characteristics in glucocerebrosidase (GBA)-associated Parkinson disease (PD) with regard to motor and nonmotor symptoms as well as imaging characteristics assessed by transcranial sonography (TCS). METHODS: Twenty patients with PD with heterozygous GBA mutations (N370S, L444P) (GBA-PD) in comparison to 20 patients with sporadic PD negative for GBA mutations (sPD) were included. We assessed motor impairment with the Unified Parkinson's Disease Rating Scale-III. Nonmotor symptoms were evaluated using the Montreal Cognitive Assessment, Neuropsychiatric Inventory, revised form of the Beck Depression Inventory, Parkinson Disease Sleep Scale, Sniffin' Sticks, and Unified Multiple System Atrophy Rating Scale items 9-12. TCS imaging was used to detect morphologic characteristics. RESULTS: Patients with GBA-PD more often had a variety of nonmotor symptoms, namely dementia, neuropsychiatric disturbances, and autonomic dysfunction, and had more severe cases, than patients with sPD. They also demonstrated a higher prevalence of a reduced echogenicity of the brainstem raphe assessed by TCS. CONCLUSIONS: Especially nonmotor symptoms seem to be very common in GBA-PD. Further studies are needed to validate these observations in order to better understand the pathogenesis of GBA-PD and develop specific therapeutic concepts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".