Histopathological characteristics of liver biopsy performed at different time points in drug-induced liver injury.
Bibliographic record
Abstract
BACKGROUND AND AIMS: Liver biopsy can provide critical information in patients with drug-induced liver injury (DILI). Our study aimed to compare the histopathological features of DILI at different time points from the onset to liver biopsy. METHODS: We conducted a single-centre retrospective observational study. The clinical and follow-up data were extracted, and the pathological slides were reviewed. RESULTS: 129 patients were included. The median age was 52 and 75% were women. They were divided into <1 month, 1-3 months, and >3 months groups according to the durations from onset of the disorder to liver biopsy. The aminotransferase, alkaline phosphatase, and bilirubin levels showed no significant differences at onset but significantly decreased with time among the three groups (all p<0.05) at the time of liver biopsy. Histological injury patterns were significantly different among the three groups (p<0.01). Hepatocellular, canalicular, and cholestasis of Kupffer cells were significantly less frequent in the >3 months group (p<0.01). For patients taking herbs, bridging necrosis and cholestatic injury were significantly more frequent in the <1 month group (p<0.01). Furthermore, ductopenia, cholate stasis, and foam-like cells were equally distributed in the three groups but were significantly associated with poor prognosis. CONCLUSIONS: Biopsy time significantly affects liver pathology: the earlier, the more acute cholestatic-hepatitic pattern, the later, the more chronic injury patterns. The prognostic features (ductopenia, cholate stasis, and foam-like cells) occurred equally in all three groups. Our study provides valuable information for liver pathologists aiding in their better interpretation of the liver biopsy from patients with DILI.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.001 | 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".