Amyotrophic lateral sclerosis: contemporary concepts in etiopathogenesis and pharmacotherapy
Bibliographic record
Abstract
Among the neurodegenerative diseases associated with ageing, amyotrophic lateral sclerosis (ALS) remains the most devastating. The disease inexorably progresses, the vast majority of pharmacotherapies have failed to modify the disease course, death ensues on average within 5 years of symptom onset and increasing numbers of individuals are afflicted with the disease. However, significant advances in our understanding of the natural history of ALS and of the fundamental nature of the biological defect underlying motor neuron degeneration have been gained, providing hope for the development of novel pharmacotherapies for ALS. Among these is the recognition that ALS is a biologically heterogeneous disorder in which genetics, environment and ageing all interrelate. The observation of clinical heterogeneity, with initial clinical manifestations serving as predictors of survivorship, is of considerable importance in designing therapeutic trials. The presence of frontotemporal dysfunction in a subset of patients has led to increased interest in the relationship between ALS and the degenerative tauopathies. Ultimately, the degenerating motor neurons do not die alone. The contribution of both microglia and astrocytes to the degenerative process are increasingly recognised. Understanding how these processes interrelate has become critical to understanding the pharmacotherapy of ALS and in the design of clinical trials. This review will highlight recent epidemiological and neurochemical advances in our understanding of ALS, and place them into the context of understanding the development of novel treatment avenues for this devastating 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".