Incidence and Prevalence of Amyotrophic Lateral Sclerosis in Canada: A Systematic Review of the Literature
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal progressive neurodegenerative disease of unknown etiology. Although known to be rare, precise information on the frequency of ALS is essential to anticipate future demands on health resources and as baseline information for epidemiological studies. As part of a new ALS epidemiological initiative in Canada, we conducted a systematic review of published incidence and prevalence research in Canada. METHODS: Electronic searches and bibliographic reviews of pertinent publications were conducted. RESULTS: We identified 6 published studies from 4 Canadian provinces conducted between 1974 and 2004; 2 were available only as abstracts. Reported annual incidence rates were similar and study quality was generally good, but there was insufficient detail to adequately assess the methodological quality of 3 of the studies. The most recent studies reported an annual ALS age-adjusted incidence of 2.13 per 100,000 in Nova Scotia (2003-2004) and a crude mean annual incidence of 2.4 per 100,000 in Newfoundland and Labrador (2000-2004). CONCLUSIONS: There are limited data on the frequency of ALS in Canada. We found no studies from 6 of the Canadian provinces or from the territories. Future research is needed to estimate the frequency of occurrence of ALS in Canada.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it