P.046 Real-world survival effectiveness of edaravone in amyotrophic lateral sclerosis: a propensity score weighted, registry-based, Canada-wide cohort study
Bibliographic record
Abstract
Background: ALS is a progressive neurodegenerative disease without a cure and limited treatment options. Edaravone, a free radical scavenger, was shown to slow disease progression in a select group of patients with ALS over 6 months; however, the effect on survival was not investigated in randomized trials. The objective of this study is to describe real-world survival effectiveness over a longer timeframe. Methods: This retrospective cohort study included patients with ALS across Canada with symptom onset up to three years. Those with a minimum 6-month edaravone exposure between 2017 and 2022 were enrolled in the interventional arm, and those without formed the control arm. The primary outcome of tracheostomy-free survival was compared between the two groups, accounting for age, sex, ALS-disease progression rate, disease duration, pulmonary vital capacity, bulbar ALS-onset, and presence of frontotemporal dementia or C9ORF72 mutation using inverse propensity treatment weights. Results: 182 patients with mean ± SD age 60±11 years were enrolled in the edaravone arm and 860 in the control arm (mean ± SD age 63±12 years). Mean ± SD time from onset to edaravone initiation was 18±10 months. Tracheostomy-free survival will be calculated. Conclusions: This study will provide evidence for edaravone effectiveness on tracheostomy-free survival in patients with ALS.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".