Evidence map›Paper›PMID 42755403›Full record

Observational studyUnited European gastroenterology journal2026

Long-Term Multisystem Comorbidity Patterns in Acute Pancreatitis: Insights From Observational and Genetic Analysis.

Tianyi Che, Tian Fu, Yuexin Zhu, Xixian Ruan, Yuhao Sun, Jiawei Geng, Lintao Dan, Xiaoyan Wang, Chunhua Zhou, Duowu Zou and 7 more

Abstract readObservational Study
In one paragraph

Observational study in United European gastroenterology journal, 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

17 authors.

Tianyi CheDepartment of Gastroenterology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID https://orcid.org/0009-0007-1402-9583
Tian FuDepartment of Gastroenterology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Yuexin ZhuInterventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xixian RuanDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-4937-9168
Yuhao SunDepartment of Gastroenterology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jiawei GengCentre for Global Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-7622-2692
Lintao DanDepartment of Gastroenterology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID https://orcid.org/0000-0001-5963-2772
Xiaoyan WangDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Chunhua ZhouDepartment of Gastroenterology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Duowu ZouDepartment of Gastroenterology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID https://orcid.org/0000-0002-2029-8831
Benoit J ArsenaultCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec-Université Laval, Laval, Québec, Canada.
Shuai YuanDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Xue LiDepartment of Big Data in Health Science, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zhijie WangDepartment of Gastroenterology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-8015-5413
Xiaofeng ZhangDepartment of Gastroenterology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Jie ChenDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Yao ZhangDepartment of Gastroenterology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Funding

China Postdoctoral Science Foundation GZC20251322Construction Fund of Key Medical Disciplines of Hangzhou 2025HZGF05National Natural Science Foundation of China 8217033803National Natural Science Foundation of China 82170559National Natural Science Foundation of China 82270667National Natural Science Foundation of China 82500637National Natural Science Foundation of China 82570763National Natural Science Foundation of China U23A20492Natural Science Foundation of Changsha kq2502174Natural Science Foundation of Hunan ProvinceNatural Science Fund for Excellent Young Scholars of Hunan Province 2025JJ40083Science Fund for Creative Research Groups of the Natural Science Foundation of Hunan Province 2024J1014Scientific Research Program of FuRong Laboratory 2023SK2085-3Xiangya Hospital, Central South UniversityZhejiang Province's Key R&D Plan Project 2023C03054
6 · The paper itself

Abstract

introductionAcute pancreatitis (AP) is an inflammatory pancreatic disorder with potentially severe systemic consequences. While its immediate clinical impact is well established, the long-term multisystem comorbidities of AP remain underexplored. Clarifying the temporal sequence of these comorbidities is essential for improving patient outcomes.

methodsWe conducted a phenome-wide association study (PheWAS) to investigate the associations between AP and 1429 clinical outcomes using Cox proportional hazards models in the UK Biobank. A total of 4767 AP cases were matched 1:10 with controls through birth year, sex, and Townsend deprivation index using incidence density sampling. Disease trajectory analyses were performed to characterize sequential diagnostic patterns of AP-associated comorbidities. Genetic approaches including polygenic risk score analysis, linkage disequilibrium score regression (LDSC), and two-sample Mendelian randomization (TSMR) were used as a genetic triangulation framework to provide complementary evidence for the observational findings and explore shared genetic architecture and potential causal relevance.

resultsOver an average follow-up of 13.7 years, AP was associated with 250 incident comorbidities and all-cause death. Three major temporal patterns of AP-related comorbidities were identified, beginning with digestive diseases (e.g., chronic pancreatitis), metabolic and endocrine disorders (e.g., diabetes mellitus), as well as other systemic conditions (e.g., depression). Subsequently, increased risk of organ dysfunction such as myocardial infarction, renal failure, respiratory failure, and then dystrophia, sepsis, septicemia, acidosis followed by all-cause death were observed. The polygenic PheWAS, LDSC, and TSMR analyses provided complementary support for selected associations, including chronic pancreatitis, cyst and pseudocyst of pancreas, duodenal ulcer, diabetes mellitus, anxiety disorder, asthma, and myocardial infarction.

conclusionsThis study characterizes long-term multisystem comorbidity patterns associated with AP, highlighting temporal diagnostic patterns linked to adverse outcomes. These findings support the need for multidisciplinary monitoring and targeted interventions to mitigate long-term risks in AP patients.

Indexed as

PancreatitisAcute DiseaseAgedCase-Control StudiesComorbidityFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenetic Risk ScoreGenome-Wide Association StudyHumansIncidenceMaleMendelian Randomization AnalysisMiddle AgedProportional Hazards Modelsacute pancreatitisdisease trajectory analysisgenetic predispositionmultisystem comorbidities

Identifiers

PMID42755403
PMCPMC13586789

What Socratic holds

Textmetadata
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Registered trials

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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.