Small-fibre Neuropathy in Patients with Familial Amyotrophic Lateral Sclerosis Type 8
Bibliographic record
Abstract
ABSTRACT: Background: Amyotrophic lateral sclerosis (ALS) is a degenerative disease of the nervous system that primarily affects motor neurons. ALS type 8 (ALS8) is a familiar form with predominant involvement of lower motor neurons, tremor, and slow progression. Objective: The aim of this study was to describe sensory involvement in a cohort of ALS8 patients and compare it with the characteristics of sporadic ALS (sALS) patients and controls. Methods: We compared data from 40 ALS8 and 10 sALS patients assessed by neurological evaluation and electrophysiological study. Skin biopsies were performed in these patients and 12 controls for analysis of intraepidermal nerve fiber (IENF) density by protein gene product 9.5 (PGP 9.5) immunohistochemistry. Results: The ALS8 group was younger than the sALS group at the onset of symptoms (p < 0.05) and had a longer disease evolution (p < 0.01). Sensory abnormalities were evident in 35% of the ALS8 and 30% of the sALS patients by neurological examination, and all ALS patients presented normal sensory nerve action potentials. Despite being similar in the ALS8 and sALS groups, IENF density in the ALS8 group was lower than that in the controls (p < 0.0005). In the ALS8 group, IENF density was significantly lower in patients with impairment of vibratory sensation than in those without this finding (p < 0.05) and in females than in males (p < 0.05). Conclusion: Sensory impairment and decreased IENF density are present in ALS8 patients at a frequency and intensity similar to that in the sALS group.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".