Evidence mapPaperPMID 42092957Full record

ArticleLipids in health and disease2026

Cumulative stress hyperglycemia ratio exposure and dynamic trajectories reveal prognostic determinants of acute hyperlipidemic pancreatitis: an 5-year cohort study.

Yiji Chen, Jianhua Wan, Wenqing Shu, Xiaoyu Yang, Huajing Ke, Wenhua He, Yin Zhu, Nonghua Lu, Liang Xia

Abstract read
In one paragraph

Article in Lipids in health and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yiji Chen *Department of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwaizheng Street, Nanchang, Jiangxi, 330006, China.
Jianhua Wan *Department of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwaizheng Street, Nanchang, Jiangxi, 330006, China.
Wenqing ShuDepartment of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwaizheng Street, Nanchang, Jiangxi, 330006, China.
Xiaoyu YangDepartment of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwaizheng Street, Nanchang, Jiangxi, 330006, China.
Huajing KeDepartment of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwaizheng Street, Nanchang, Jiangxi, 330006, China.
Wenhua HeDepartment of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwaizheng Street, Nanchang, Jiangxi, 330006, China.
Yin ZhuDepartment of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwaizheng Street, Nanchang, Jiangxi, 330006, China.
Nonghua LuDepartment of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwaizheng Street, Nanchang, Jiangxi, 330006, China.
Liang XiaDepartment of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwaizheng Street, Nanchang, Jiangxi, 330006, China. ndyfy02137@ncu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe stress hyperglycemia ratio (SHR) and glycemic variability (GV) both reflect acute glycemic fluctuations, with established roles in cardiovascular and stroke diseases. However, their prognostic value in acute hyperlipidemic pancreatitis (HTG-AP) remains underexplored. Traditional assessments based on single measurements fail to capture the dynamic evolution. Therefore, this study aims to evaluate the early predictive value of Cumulative stress hyperglycemia ratio (CumSHR) and trajectory combined with GV in patients with hyperlipidemic pancreatitis.

methodsThis study collected data from 959 patients with HTG-AP. SHR and GV were calculated using standardized formulas; CumSHR was derived from the area under the curve (AUC) based on SHR data from the 7 days prior to admission. Multivariable analyses and RCS analysis assessed whether CumSHR predicted severe hyperlipidemic acute pancreatitis (HTG-SAP). Subgroup stratification was performed based on clinically distinct glucose metabolic states, while Latent class growth mixture model (LCGMM) identified dynamic SHR trajectory sub-phenotypes. Kaplan-Meier (K-M) curves compared survival rates across different risk trajectory groups. Finally, machine learning models predicted HTG-SAP risk, and SHapley Additive exPlanations (SHAP) identified key predictors.

resultsIn the Jiangxi cohort, 162 cases (16.9%) of HTG-AP developed HTG-SAP. RCS analysis demonstrated a U-shaped association between CumSHR and HTG-SAP and persistent organ failure (POF) (P < 0.001). The LCGMM identified three dynamic trajectories: the sustained high-value group (SHG-T3) exhibited the highest risk of HTG-SAP (55.6%, compared with 10.6% in the low-value gradually decreasing group [LDG-T1]). Subsequently, stratified into normal glucose regulation (NGR), pre-diabetes Mellitus (Pre-DM), and diabetes mellitus (DM), high CumSHR + high GV showed increased risk compared to low CumSHR + low LGV (P < 0.05). Among machine learning models predicting HTG-SAP risk, the Naive-Bayes model demonstrated the highest predictive accuracy. SHAP analysis identified CumSHR as one of the most important predictors.

conclusionsThis study demonstrates that CumSHR exhibits significant association with early assessment of severe conditions in patients with HTG-AP, with its trajectory effectively capturing dynamic changes to compensate for the limitations of static prediction.

Indexed as

HyperglycemiaHyperlipidemiasPancreatitisAcute DiseaseAdultAgedBlood GlucoseCohort StudiesFemaleHumansKaplan-Meier EstimateMachine LearningMaleMiddle AgedPrognosisRisk FactorsBlood GlucoseAcute hyperlipidemic pancreatitisAcute necrotic collectionCumSHRGVHTG-APPersistent organ failureSHR trajectory

Identifiers

PMID42092957
PMCPMC13312519

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.