The Diagnosis of Amyotrophic Lateral Sclerosis and Associated Rehabilitation Issues: A casereport
Bibliographic record
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease of unknown etiology. Even though it is uncommon, there are cases seen. Thus it is important for clinicians to understand and catch the key points to its diagnosis. Patients with ALS would usually present with the combination of upper and lower motor neuron symptoms and signs. When the typical combination was found in several anatomic areas in an elderly man especially, the diagnosis is direct. We must also note that at early stage of ALS, the patient can present predominantly with either upper or lower motor neuron symptoms and signs confining only to one extremity, which makes an early diagnosis difficult.Our case came to our hospital with the chief complaint of numbness and weakness in his left hand. The initial diagnosis was brachial plexopathy but with revision to cervical myeloradiculopathy later. Cervical spine surgery was performed but weakness of right upper extremity and left lower extremity soon occurred progressively. From the finding of clinical presentation, physical examination and electrophysiologic study, a final diagnosis of ALS was made. We reviewed papers to discuss the key point to diagnosis of ALS and the usual misdiagnosis. The mean survival in ALS patients is about 3 years, but occasionally do we see patients survive past that. Patients with ALS not only have a limited life span, they often have poor quality of life. Thus it is important for a rehabilitation intervention to improve the quality of life.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.009 | 0.006 |
| 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".