Olfaction and color vision identify impending neurodegeneration in rapid eye movement sleep behavior disorder
Bibliographic record
Abstract
OBJECTIVE: For development of neuroprotective therapy, neurodegenerative disease must be identified as early as possible. However, current means of identifying "preclinical" neurodegeneration are limited. Patients with idiopathic rapid eye movement (REM) sleep behavior disorder (RBD) are at >50% risk of synuclein-mediated neurodegenerative disease--this provides a unique opportunity to directly observe preclinical synucleinopathy and to test potential markers of preclinical disease. METHODS: Patients with RBD without neurodegenerative disease were enrolled in a prospective cohort starting in 2004. Olfaction and color vision were tested at baseline, then annually for 5 years. Test results were compared between patients who developed neurodegenerative disease and those who remained disease-free. RESULTS: Out of 64 patients, 62 (97%) participated in annual follow-up. During follow-up, 21 developed disease, and 41 remained disease-free. Out of 21, 16 developed a combination of parkinsonism and dementia, 4 developed isolated parkinsonism (all with tremor), and 1 developed isolated dementia. Compared to those remaining disease-free, patients destined to develop disease had worse baseline olfaction (University of Pennsylvania Smell Identification Test [UPSIT] = 58.3 ± 27.0% age/sex-adjusted normal vs 80.2 ± 26.3%; p = 0.003) and color vision (Farnsworth-Munsell 100-Hue color test [FM-100] errors 153.0 ± 82.2% normal vs 120.2 ± 26.5%; p = 0.022). Kaplan-Meier 5-year-disease-free survival in those with normal olfaction was 86.0%, vs 35.4% with impaired olfaction (p = 0.029). Disease-free survival with normal color vision was 70.3%, vs 26.0% with impaired vision (p = 0.009). Both olfaction and color vision were reduced as much as 5 years before disease diagnosis, with only slight decline in preclinical stages. INTERPRETATION: Olfaction and color vision identify early-stage synuclein-mediated neurodegenerative diseases. In most cases, abnormalities are measurable at least 5 years before disease onset, and progress slowly in the preclinical stages.
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 | 0.000 |
| 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".