Amyotrophic lateral sclerosis: update for family physicians.
Bibliographic record
Abstract
OBJECTIVE: To discuss the epidemiology, pathogenesis, diagnosis, expected course, prognosis, and treatment of amyotrophic lateral sclerosis (ALS), a degenerative disorder of the nervous system associated with progressive weakness. QUALITY OF EVIDENCE: PubMed and the Cochrane Database of Systematic Reviews were searched using the MeSH headings "amyotrophic lateral sclerosis," "therapy," "epidemiology," and "etiology." Articles containing the best available evidence were reviewed. Most provided level II and III evidence. There were some level I drug trials. MAIN MESSAGE: Amyotrophic lateral sclerosis is associated with progressive dysarthria, dysphagia, and weakness in the extremities. Diagnosis is based on physical examination, electrophysiology, and excluding other confounding conditions. There is no cure for this devastating disorder. Certain treatments, however, can improve survival and quality of life. CONCLUSION: Because ALS is a complex disease, care of ALS patients is best provided at multidisciplinary clinics that specialize in managing patients with this disorder.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".