Assessment of the spectrum of hepatic encephalopathy: A multicenter study
Bibliographic record
Abstract
Hepatic encephalopathy (HE) is a major cause of morbidity in cirrhosis. However, its severity assessment is often subjective, which needs to be studied systematically. The aim was to determine how accurately trainee and nontrainee practitioners grade and manage HE patients throughout its severity. We performed a survey study using standardized simulated patient videos at 4 US and 3 Canadian centers. Participants were trainees (gastroenterology/hepatology fellows) and nontrainees (faculty, nurse practitioners, physician assistants). We determined the accuracy of HE severity identification and management options between grades <2 or ≥2 HE and trainees/nontrainees. In total, 108 respondents (62 trainees, 46 nontrainees) were included. For patients with grades <2 versus ≥2 HE, a higher percentage of respondents were better at correctly diagnosing grades ≥2 compared with grades <2 (91% versus 64%; P < 0.001). Specialized cognitive testing was checked significantly more often in grades <2, whereas more aggressive investigation for precipitating factors was ordered in HE grades >2. Serum ammonia levels were ordered in almost a third of grade ≥2 patients. For trainees and nontrainees, HE grades were identified similarly between groups. Trainees were less likely to order serum ammonia and low-protein diets, more likely to order rifaximin, and more likely to perform a more thorough workup for precipitating factors compared with nontrainee respondents. There was excellent concordance in the classification of grade ≥2 HE between nontrainees versus trainees, but lower grades showed discordance. Important differences were seen regarding blood ammonia, specialized testing, and nutritional management between trainees and nontrainees. These results have important implications at the patient level, interpreting multicenter clinical trials, and in the education of practitioners. Liver Transplantation 24 587-594 2018 AASLD.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".