Mechanisms of multiple organ damages in acute necrotizing pancreatitis.
Bibliographic record
Abstract
OBJECTIVE: To determine the role of systemic inflammatory response syndrome (SIRS) and multiple organ dysfunction syndrome (MODS), and evaluate the progress from SIRS to MODS and the therapeutic strategies for acute necrotizing pancreatitis (ANP). METHODS: Rat ANP models were made by retrograde injection of 3.5% sodium taurocholate 2.5 ml/kg into the pancreatic duct. Serum interleukin-8 (IL-8), interleukin-6 (IL-6), interleukin-10 (IL-10), tumor necrosis factor-alpha (TNF alpha), amylase, endotoxin, and albumin were examined. The morphology and pathology of the pancreas, liver, lung, kidney and heart after ANP were observed. Finally, TNF alpha mRNA in the liver, lung, kidney and heart after ANP were observed by reverse transcriptase-polymerase chain reactions, and the efficiency of somatostatin and growth hormone were also observed in this experiment. RESULTS: ANP led to remarkable elevation of the inflammatory mediators which were positively correlated with the development of ANP and MODS. Somatostatin and growth hormone inhibited inflammatory mediators and TNF alpha mRNA overexpressions, reduced the risk of MODS, corrected hypoalbuminemia, reversed negative nitrogen balance, and controlled the reduction of cell groups with functions and reasonably intervened SIRS caused by ANP. CONCLUSION: TNF alpha mRNA plays an important role in ANP progression. The amelioration of ANP by combination treatment with somatostatin and growth hormone leads to the reduction of complications and marked increase in survival.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".