Evidence map›Paper›PMID 41261223›Full record

SynthesisAbdominal radiology (New York)2026

Comparison of the predictive value of different assessment times in the severity and prognostic outcomes of CTSI in patients with acute pancreatitis: a systematic review and meta-analysis.

Shan Huang, Xinwei Liu, Longyan Zhu, Kun Ai

Abstract readSystematic ReviewMeta-AnalysisComparative Study
PubMed Publisher
In one paragraph

Synthesis in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

4 authors.

Shan HuangCollege of Acupuncture-Moxibustion, Tuina and Rehabilitation, Hunan University of Chinese Medicine, Changsha, China.
Xinwei LiuDepartment of Critical Care Medicine, The Second Xiangya Hospital of Central South University, Changsha, China.ORCID 0009-0006-2902-6636
Longyan ZhuInstitute of Translational Medicine, Nanchang University, Nanchang, China.
Kun AiCollege of Acupuncture-Moxibustion, Tuina and Rehabilitation, Hunan University of Chinese Medicine, Changsha, China. aikun650@qq.com.ORCID 0000-0002-0439-0144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute pancreatitis (AP) necessitates accurate severity and prognosis assessment. While the Computed Tomography Severity Index (CTSI) is widely used, its time-dependent predictive value remains unclarified. This meta-analysis compares the predictive efficacy of CTSI across assessment times for AP outcomes.

methodsSystematic searches were performed in PubMed, Cochrane, Embase, and Web of Science. Literature was collated by using EndNote 20. Methodological quality was assessed using QUADAS-2. Bivariate meta-analyses were conducted with Stata 16 and Meta-Disc 1.4.

resultsAnalysis of 28 studies (n = 5,419) revealed significant time-dependent variations: CTSI achieved optimal sensitivity for severity prediction at ≤ 48 h (0.84, 95%CI 0.78-0.89) with specificity 0.79 (0.76-0.82), and peak sensitivity for organ failure at ≤ 48 h (0.90, 0.82-0.95) though with moderate specificity (0.52, 0.48-0.57). Mortality prediction showed the highest sensitivity at ≤ 72 h (0.89, 0.74-0.97), despite suboptimal specificity (0.65, 0.61-0.68). Pancreatic necrosis detection demonstrated superior accuracy at > 72 h (sensitivity 0.91, 0.84-0.95; specificity 0.82, 0.79-0.85). The pooled area under the receiver operating characteristic curve values with 95% CI for overall predictive performance were: severity, 0.85 (0.82-0.88); organ failure, 0.86 (0.82-0.88); mortality, 0.85 (0.81-0.88); and pancreatic necrosis, 0.94 (0.99 - 0.96).

conclusionCTSI exhibits distinct temporal predictive patterns: ≤48 h assessments optimise early evaluation of severity/organ failure, ≤ 72 h scans best predict mortality, while delayed imaging (> 72 h) maximises pancreatic necrosis accuracy at the expense of clinical timeliness. Future research must standardise imaging timepoints, integrate CTSI with physiological biomarkers, and develop dynamic assessment models to resolve discrepancies in anatomical-pathophysiological prognostic factors in AP management.

Indexed as

PancreatitisTomography, X-Ray ComputedAcute DiseaseHumansPredictive Value of TestsPrognosisSensitivity and SpecificitySeverity of Illness IndexTime FactorsAcute pancreatitisComputed tomography severity indexMeta-analysisPrognosis

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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 OpenQuestion graph.