Nonalcoholic Steatohepatitis in Nondiabetic Obese Patients
Bibliographic record
Abstract
BACKGROUND: Nonalcoholic steatohepatitis (NASH) is a major disorder in patients with persistent changes in aminotransferase activity who test negative for viral markers and autoantibodies. Although NASH has been correlated with obesity, no study has been carried out exclusively with nondiabetic obese patients. OBJECTIVES: To evaluate the occurrence of NASH in obese patients without diabetes mellitus and to assess the severity of histological involvement of the liver. PATIENTS AND METHODS: Serum aminotransferase levels were evaluated in 912 obese patients seen at an outpatient clinic in Porto Alegre, Brazil, from 1997 to 1999. Sixty-eight patients were found to have altered aminotransferase levels in more than one test. Thirty-five patients were excluded due to the presence of diabetes mellitus (n=12), the presence of viral markers (n=11), alcohol consumption (n=8) and the use of hepatotoxic drugs (n=4). NASH was diagnosed when histological findings revealed macrovesicular steatosis associated with lobular inflammatory infiltrate and hepatocellular injury. RESULTS: Of the 912 obese patients studied, 33 patients with altered aminotransferase levels underwent liver biopsy. Four patients were excluded because they had steatosis only; the remaining 29 patients (3.18%) fulfilled the diagnostic criteria established for NASH. The mean age of the 29 patients was 42.2 +/- 11.9 years; 65.52% of the patients were women. Grading of histological findings revealed mild disease in 58.6% of cases; important proliferation of fibrous tissue was absent in most cases. CONCLUSIONS: NASH is a common disease among nondiabetic obese patients with altered aminotransferase levels, and it usually manifests as a mild clinical condition, although more severe lesions may be observed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".