Mixed pathologies mimicking motor neuron disease: a case report and review of the literature
Bibliographic record
Abstract
Amyotrophic lateral sclerosis (ALS) is classified as a motor neuron disease (MND) that can present with both upper and lower motor neuron signs. Concurrent ALS and frontotemporal dementia (FTD) is also a well-known phenomenon. Examples of other primary disorders mimicking ALS or ALS-FTD have been reported in the literature and recognition of these entities is important to ensure proper clinical management. We present here an unusual case of an 86-year-old male patient, clinically diagnosed with ALS and severe cognitive impairment thought to be due to FTD. Postmortem neuropathological examination of his brain and spinal cord did not reveal the typical findings of ALS or FTD. Rather, it revealed multiple non-ALS pathologies including argyrophilic grain disease (AGD), cerebrovascular disease, and Alzheimer's type pathology. This case raises the possibility that mixed pathologies could mimic motor neuron disease.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".