Hepatology and The Canadian Gastroenterologist: Interest, Attitudes and Patterns of Practise: Results of a National Survey from the Canadian Association of Gastroenterology
Bibliographic record
Abstract
BACKGROUND: Hepatology has emerged as a subspecialty distinct from gastroenterology. Despite this, there is no formal certification examination or accredited training program, and training remains combined with gastroenterology. AIM: To determine attitudes, perceptions and patterns of practice with respect to liver disease among Canadian gastroenterologists. METHODS: A survey questionnaire was distributed to clinician gastroenterologists who are members of the Canadian Association of Gastroenterology. The responses of subgroups of respondents were compared by univariate and multivariate statistical techniques. RESULTS: Hepatologists constituted 20 of 201 respondents, the rest identifying themselves as gastroenterologists. Among gastroenterologists, liver disease constituted 10% of in- and out-patient practice. Despite this, 85% of gastroenterologists maintain an interest in hepatology, 49% perform liver biopsies, 60% treat hepatitis C, and 54% treat hepatitis B. In all of these areas, university-based gastroenterologists were consistently less likely than community-based gastroenterologists to maintain an interest and practice in hepatology, a finding that remained statistically significant on multivariate analysis. With regard to hepatology training, 90% of hepatologists and 94% of gastroenterologists felt that hepatology training should remain combined with gastroenterology, although 55% of hepatologists felt that current training was adequate compared with 79% of gastroenterologists, who were satisfied with the status quo. CONCLUSIONS: Hepatology remains relevant and important to Canadian gastroenterologists, especially those who have community-based practices. Canadian gastroenterologists and hepatologists are not in favour of separating hepatology training from existing gastroenterology training programs, although hepatologists feel that the current level of training is suboptimal.
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.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".