Prevalence and Distribution of Lewy Pathology in a Homeless Population
Bibliographic record
Abstract
BACKGROUND: The homeless population experience significant inequalities in health, and there is an increasing appreciation of the potential of lifestyle factors in the development of neurodegenerative diseases, including Parkinson's disease. We performed a study on the prevalence and distribution of pathological alpha-synuclein deposition throughout the central and peripheral nervous systems in a homeless population. METHODS: Forty-four homeless individuals consecutively available for autopsy were recruited. Immunohistochemistry was performed using 5G4 antibody recognizing disease-associated forms of alpha-synuclein, complemented by phospho-synuclein antibody on autopsy tissues collected from 18 regions of the brain and spinal cord, as well as the right and left olfactory bulb, the cauda equina, the extramedullary portion of the vagus nerve, and 27 sites of peripheral organs. RESULTS: The study cohort consisted of 38 males and 6 females, median age 58 years (range 32-67). Lewy-related pathology was present in the brains of three male cases. One showed Braak stage 2 (60 years old), and two stage 4 (56 and 59 years old). One of the Braak stage 4 cases had Lewy-related pathology in the spinal cord, the cauda equina, and the extramedullary portion of the vagus nerve. Examination of 27 sites of peripheral organs found that all three cases with Lewy-related pathology present in the brain were devoid of peripheral organ alpha-synuclein pathology. Multiple system-type alpha-synuclein pathology was not found. CONCLUSION: Our study, representing a snapshot of the homeless population that came to autopsy, suggests that alpha-synuclein pathology is prevalent in the homeless supporting further study of this vulnerable population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".