A Canadian survey on knowledge of non-alcoholic fatty liver disease among physicians
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: In Canada, non-alcoholic fatty liver disease (NAFLD) is the most frequently occurring liver disease, affecting one in four Canadians. NAFLD can in turn evolve into non-alcoholic steatohepatitis (NASH) and cirrhosis. No study in Canada has investigated knowledge of NAFLD among physicians. METHODS: Primary care physicians (PCPs); specialists in internal medicine, gastroenterology, and hepatology; and hepatology nurses who were members of the College of Family Physicians of Canada, Canadian Association for the Study of the Liver, or Canadian Association of Hepatology Nurses were invited to participate in this web-based survey. RESULTS: Of 650 invited physicians and nurses, 214 (33%) responded and 171 (26%) completed the whole survey. Overall, 51% of the respondents were PCPs, 38% were specialists, and 11% were nurses. Of these, 58% of PCPs, 28% of specialists, and 39% of nurses responded that they were only somewhat familiar or unfamiliar with NAFLD. Moreover, 53% of PCPs, 20% of specialists, and 35% of nurses thought the prevalence of NAFLD in Canada was 15% or less. Also, 42% of respondents thought that NASH could be diagnosed by imaging or blood tests. Finally, more than 40% of PCPs, 22% of specialists, and 33% of nurses thought that metformin and statin were treatments for NASH. CONCLUSIONS: This survey shows that a significant proportion of Canadian physicians and nurses managing patients with NAFLD are not very familiar with the disease. This study emphasizes the need for further provider education, national practice guidelines, and improved treatment options.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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