Age and severity of nigrostriatal damage at onset of Parkinson's disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The clinical evolution of Parkinson's disease (PD) is known to be partly dependent on the age of onset. For example, motor complications associated with chronic dopaminomimetic treatment occur more often in younger patients. However, few attempts have been made to characterize the functional pathological differences underlying this age effect. We investigated the relationship between age and severity of nigrostriatal damage at onset of PD. Twenty patients with early PD (symptom duration <or=5 years) with onset before age 50 (n = 10) and with onset after age 50 (n = 10) were studied. The two groups were compared with respect to severity of nigrostriatal damage as evaluated by positron emission tomography (PET) scanning with 6-[(18)F]fluoro-L-dopa ([(18)F]-dopa), (+/-)-alpha-[(11)C]dihydrotetrabenazine ([(11)C]DTBZ), and d-threo-[(11)C]methylphenidate ([(11)C]MP). We found no significant differences between younger- and older-onset PD patients with regard to any of the three presynaptic markers. For putamen, the P-values corresponding to the different PET measurements ranged from P = 0.34 ([(18)F]-dopa) to P = 0.79 ([(11)C]DTBZ). However, after adjusting for treatment and PD duration, regression analysis showed that [(18)F]-dopa uptake correlated positively with age of onset (r = 0.59; P = 0.010). No correlation was found between [(11)C]DTBZ and [(11)C]MP binding potentials and age of onset (P = 0.26 and P = 0.90, respectively). These data suggest that age-of-onset-dependent differences in clinical evolution are not likely to reflect early differences in nigrostriatal pathology in PD. Age-related differences in [(18)F]-dopa uptake may be related to changes in dopamine turnover.
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.
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 | 0.000 | 0.000 |
| 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 it