An electron microscopic and morphometric study of ursodeoxycholic effect in primary biliary cirrhosis
Bibliographic record
Abstract
BACKGROUND/AIMS: Primary biliary cirrhosis (PBC) is a chronic liver disease that results in cholestasis and bile duct loss. Ursodeoxycholic acid (UDCA) has been shown to reduce hepatocellular damage in PBC. The study attempted to quantify perisinusoidal collagenization and the number of apoptotic bodies in PBC liver biopsies from patients in a randomized control trial treated with UDCA compared to those who received placebo. METHODS: Twenty-eight patients with PBC (10 cirrhotic, 18 non-cirrhotic; 13 treated with UDCA, 15 treated with placebo) were compared with 32 controls with normal hepatic histology on light microscopy. Liver biopsies were examined for degree of perisinusoidal fibrosis and apoptotic activity using electron microscopy. RESULTS: The degree of perisinusoidal fibrosis and apoptotic activity was similar in pretreatment biopsies of UDCA and placebo-treated patients. After two years of placebo, patients showed a significant increase in fibrosis (P < 0.001). In contrast, there were no changes in non-cirrhotic and a decrease in fibrosis in cirrhotic patients given UDCA. At baseline, PBC patients had higher numbers (apoptotic cells/100 hepatocytes +/- SE) of apoptotic cells (7 +/- 3), than controls (2 +/- 0.5) (P < 0.05), with no difference between cirrhotic and non-cirrhotic patients in the two groups of patients. After two years, the numbers of apoptotic cells in UDCA-treated patients decreased significantly compared to baseline (3 +/- 2) (P < 0.05); with placebo patients the number of apoptotic cells increased (12 +/- 5) (P < 0.05). CONCLUSION: Treatment with UDCA prevents the deposition of perisinusoidal collagen and reduces the apoptotic activity in PBC patients after 2 years of therapy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".