Diabetes mellitus and the risk of spontaneous bacterial peritonitis in patients with liver cirrhosis: a systematic review and meta-analysis.
Bibliographic record
Abstract
BACKGROUND: Spontaneous bacterial peritonitis (SBP) represents a critical and potentially lethal condition that typically develops in individuals with liver cirrhosis. This meta-analysis aimed to assess diabetes mellitus (DM) as a risk factor for SBP in liver cirrhotic patients. METHODS: Following PRISMA guidelines, fifteen studies were included, for a total of 76 815 patients. The risk of bias was assessed using the Newcastle-Ottawa scale (NOS). We represented the results as risk ratios (RR) with the corresponding 95% confidence intervals (CI) using RevMan software. Additionally, we pooled the hazard ratios (HR) for developing SBP in patients with DM from the included studies. RESULTS: <.001). CONCLUSIONS: The study signifies that DM is an independent risk factor for SBP, emphasizing the need for targeted preventive measures in this specific population.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.025 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".