Evidence map›Paper›PMID 42557758›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2026

Computed Tomography and Plasma Proteomics for Early Discrimination of Post-Pancreatitis Diabetes Mellitus.

Ran Hu, Xiao Zeng, Gangjing Li, Jin Ma, Huiping Yang, Fang Jiang, Zenghui Li, Xiaoming Zhang, Hua Yang

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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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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.

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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.

Ran HuDepartment of Radiology, Chongqing Hospital of Traditional Chinese Medicine (The First Affiliated Hospital of Chongqing University of Chinese Medicine), Chongqing, China.
Xiao ZengMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Gangjing LiDepartment of Radiology, Chongqing Hospital of Traditional Chinese Medicine (The First Affiliated Hospital of Chongqing University of Chinese Medicine), Chongqing, China.
Jin MaDepartment of Radiology, Chongqing Hospital of Traditional Chinese Medicine (The First Affiliated Hospital of Chongqing University of Chinese Medicine), Chongqing, China.
Huiping YangDepartment of Radiology, Chongqing Hospital of Traditional Chinese Medicine (The First Affiliated Hospital of Chongqing University of Chinese Medicine), Chongqing, China.
Fang JiangDepartment of Gastroenterology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Zenghui LiDepartment of Radiology, Langzhong Hospital of TCM, Langzhong, Sichuan, China.
Xiaoming ZhangMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Hua YangDepartment of Radiology, Chongqing Hospital of Traditional Chinese Medicine (The First Affiliated Hospital of Chongqing University of Chinese Medicine), Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND There is a lack of effective predictive methods for post-pancreatitis diabetes mellitus (PPDM-A) in clinical practice. This exploratory study aimed to identify candidate computed tomography (CT) and plasma proteomic features associated with subsequent PPDM-A and to assess their preliminary discriminatory performance. MATERIAL AND METHODS This retrospective single-center study compared CT imaging features and clinical data between post-pancreatitis normal glucose (PPNG-A, n=10) and PPDM-A (n=9) groups. Differential plasma protein expression was analyzed using proteomics. Correlations between CT features and protein features in patients with PPDM-A were also assessed. RESULTS The PPDM-A group showed higher incidences of pancreatic necrosis and elevated plasma complement factor I (CFI) levels compared with the PPNG-A group. Plasma coagulation factor XII (F12) and immunoglobulin heavy chain (IgH) levels were significantly decreased in the PPDM-A group. Enzyme-linked immunosorbent assay findings validated CFI; F12 and IgH remain proteomics-derived candidate markers. The combined 3-index model achieved an area under the curve of 0.989 for PPDM-A discrimination in the same discovery cohort. CFI was positively correlated with pancreatic necrosis (P=0.02, R=0.527). CONCLUSIONS Plasma CFI, F12, and IgH demonstrated potential predictive value for PPDM-A and may help identify at-risk patients. CFI and F12 were significantly correlated with pancreatic necrosis, suggesting a link between plasma molecular markers and imaging manifestations of PPDM-A. These exploratory findings provide a preliminary experimental basis for early discrimination of PPDM-A. Clinical utility requires confirmation in multicenter studies with larger sample sizes and both internal and external validation.

Indexed as

Diabetes MellitusPancreatitisProteomicsAdultAgedBiomarkersBlood ProteinsFemaleHumansMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedBiomarkersBlood Proteins

Identifiers

PMID42557758
PMCPMC13463811

What Socratic holds

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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.