A systematic review of the epidemiology and risk factors for severity and recurrence of hypertriglyceridemia-induced acute pancreatitis
Bibliographic record
Abstract
This systematic review aims to comprehensively assess the epidemiology and identify risk factors associated with the severity and recurrence of hypertriglyceridemia-induced acute pancreatitis (HTG-AP). A search of PubMed, Web of Science, and Cochrane databases was conducted to identify all relevant randomized controlled trials (RCTs), prospective, or retrospective cohort studies on HTG-AP. Data related to epidemiology and risk factors for severity and recurrence of HTG-AP were extracted and analyzed. Seventy-seven studies met the inclusion criteria, comprising 1 RCT, 21 prospective studies, and 55 retrospective studies. A total of 56,617 acute pancreatitis (AP) patients were included, of which 19.99% were diagnosed with HTG-AP (n = 11,315). Compared to non-HTG-AP patients, HTG-AP patients were more likely to be male (68.7% vs. 57.3%) and younger (mean age 41.47 ± 4.32 vs. 50.25 ± 7.70 years). HTG-AP patients exhibited higher mortality rates (up to 20% vs. 15.2%), increased severity (8.3% to 100% vs. 3.8% to 47.2%), and higher recurrence rates (up to 64.8% vs. 23.3%). Analysis of temporal trends from 2002 to 2023 showed a range of HTG-AP prevalence in overall AP patients from 1.6% to 47.6%, with a slight upward trend that was not statistically significant (P = 0.1081). Regional analysis indicated relatively stable prevalence in North America (P = 0.5787), Europe (P = 0.0881), other regions (P = 0.738), while prevalence in China showed a significant increase (P = 0.0119). Thirteen studies investigated risk factors affecting HTG-AP severity, with elevated serum triglyceride (TG) levels associated with increased risk of complications such as pancreatic necrosis, systemic inflammatory response syndrome (SIRS), shock, and multi-organ failure. Additional factors including high neutrophil-to-lymphocyte ratio (NLR), elevated levels of amylase and C-reactive protein (CRP), hypocalcemia, and hypoalbuminemia were also implicated in HTG-AP severity. Smoking history, poor lipid control (TG > 3.1 mmol/L), or recurrent hypertriglyceridemia during follow-up were identified as potential predictors of HTG-AP recurrence. Our findings indicate a stable global prevalence of HTG-AP within AP patients, but a notable increase in China, possibly attributed to socio-economic and dietary factors.
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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 | 0.007 | 0.035 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.009 |
| Bibliometrics | 0.015 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".