Clinicopathological review of pallidonigroluysian atrophy
Bibliographic record
Abstract
Pallidonigroluysian atrophy is a rare neurodegenerative disease characterized by degeneration of the globus pallidus, substantia nigra, and subthalamic nucleus. Few studies have comprehensively documented the clinical and pathological features of pallidonigroluysian atrophy. A systematic review of all published cases of pallidonigroluysian atrophy in English since 1970 was performed. We also report a new case of pallidonigroluysian atrophy. Twenty-five cases of pathologically proven pallidonigroluysian atrophy were reviewed, 24 from the literature and 1 of our own. Average age of onset was 54.3 ± 14.3 years, and average duration of disease was 7.9 ± 5.8 years. The most common first symptom was gait or balance disturbance. Patients had a diversity of movement disorders, including chorea in 5 cases (20%). Nine cases (36%) had coexistent motor neuron disease. Almost all cases had gliosis, and many cases had iron-positive pigments in the pallidonigroluysian system. Tauopathy was absent to rare in this region. Widespread tau-negative, p62-positive glial inclusions, described in 1 previous case, were also present in our patient. As pallidonigroluysian atrophy has a diversity of clinical presentations, it is best defined neuropathologically. The relative lack of tauopathy and the presence of p62-positive glial inclusions or iron-positive pigments in the pallidonigroluysian region may help to distinguish pallidonigroluysian atrophy from similar disease entities.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".