Evidence map›Paper›PMID 39918039›Full record

ArticleSaudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association2025

Construction and validation of a nomogram for predicting survival in diabetic patients with severe acute pancreatitis: A retrospective study from a tertiary center.

Qingcheng Zhu, Dingyu Tan, Huihui Wang, Bingyu Ling, Runmin Zhao

Abstract readValidation Study
In one paragraph

Article in Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qingcheng ZhuDepartment of Emergency Medicine, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
Dingyu Tan
Huihui Wang
Bingyu Ling
Runmin Zhao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is currently a lack of nomograms specifically designed for predicting the risk of death in diabetic patients with severe acute pancreatitis (SAP). The objective of this study was to develop a nomogram tailored to diabetic patients with SAP to predict overall survival.

methodsDiabetic patients diagnosed with SAP between January 1, 2018 and December 31, 2023 were included in the study. Risk factors were identified through least absolute shrinkage and selection operator regression analysis. Subsequently, a novel nomogram model was developed through multivariable logistic regression analysis. The predictive performance of the nomogram was evaluated using metrics such as the receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA).

resultsA total of 206 patients were included in the analysis, with 171 in the survival group and 35 in the deceased group. Multivariate logistic regression indicated that age, platelet, total bilirubin, and potassium were independent prognostic factors for the survival of diabetic patients with SAP. The nomogram demonstrated a performance comparable to sequential organ failure assessment ( P = 0.570). Additionally, the calibration curve showed satisfactory predictive accuracy, and the DCA highlighted the clinical application value of the nomogram.

conclusionWe have identified key demographic and laboratory parameters that are associated with the survival of diabetic patients with SAP. These parameters have been utilized to create a precise and user-friendly nomogram, which could be an effective and valuable clinical tool for clinicians.

Indexed as

Diabetes ComplicationsDiabetes MellitusNomogramsPancreatitisAcute DiseaseAdultAgedFemaleHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesRisk Factors

Identifiers

PMID39918039
PMCPMC11978246

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