SynthesisInfection2023
Discriminative performance of pancreatic stone protein in predicting ICU mortality and infection severity in adult patients with infection: a systematic review and individual patient level meta-analysis.
Synthesis in Infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Pancreatic Stone Protein as an Emerging Biomarker in Paediatric Nosocomial and Postoperative Sepsis: An Integrative Review of Diagnostic and Prognostic Performance.International journal of molecular sciences · 2026Review
- Comparison of serial pancreatic stone protein, C-reactive protein and procalcitonin for the diagnosis of infection and sepsis in critically Ill patients: a multicentre prospective study.BMC anesthesiology · 2026Article
- From sepsis biomarker discovery to regulatedFrontiers in medical technology · 2026Review
- Regenerating island-derived protein 3E concentrations in healthy dogs and dogs with various inflammatory processes.PloS one · 2025Article
- Controversial Roles of Regenerating Family Proteins in Tissue Repair and Tumor Development.Biomedicines · 2024Review
- Harnessing the host response for precision infectious disease diagnosis.Clinical microbiology reviews · 2024Review
- The Possible Pathophysiological Role of Pancreatic Stone Protein in Sepsis and Its Potential Therapeutic Implication.Biomedicines · 2024Review
- Diagnostic and Prognostic Ability of Pancreatic Stone Protein: A Scoping Review.International journal of molecular sciences · 2024Article
- Pancreatic stone protein as a novel biomarker of microvascular complications in type II diabetes mellitus: A systematic review and meta-analysis.Tzu chi medical journalArticle
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeveral studies suggested pancreatic stone protein (PSP) as a promising biomarker to predict mortality among patients with severe infection. The objective of the study was to evaluate the performance of PSP in predicting intensive care unit (ICU) mortality and infection severity among critically ill adults admitted to the hospital for infection.
methodsA systematic search across Cochrane Central Register of Controlled Trials and MEDLINE databases (1966 to February 2022) for studies on PSP published in English using 'pancreatic stone protein', 'PSP', 'regenerative protein', 'lithostatin' combined with 'infection' and 'sepsis' found 46 records. The search was restricted to the five trials that measured PSP using the enzyme-linked immunosorbent assay technique (ELISA). We used Bayesian hierarchical regression models for pooled estimates and to predict mortality or disease severity using PSP, C-Reactive Protein (CRP) and procalcitonin (PCT) as main predictor. We used statistical discriminative measures, such as the area under the receiver operating characteristic curve (AUC) and classification plots.
resultsAmong the 678 patients included, the pooled ICU mortality was 17.8% (95% prediction interval 4.1% to 54.6%) with a between-study heterogeneity (I-squared 87%). PSP was strongly associated with ICU mortality (OR = 2.7, 95% credible interval (CrI) [1.3-6.0] per one standard deviation increase; age, gender and sepsis severity adjusted OR = 1.5, 95% CrI [0.98-2.8]). The AUC was 0.69 for PSP 95% confidence interval (CI) [0.64-0.74], 0.61 [0.56-0.66] for PCT and 0.52 [0.47-0.57] for CRP. The sensitivity was 0.96, 0.52, 0.30 for risk thresholds 0.1, 0.2 and 0.3; respective false positive rate values were 0.84, 0.25, 0.10.
conclusionsWe found that PSP showed a very good discriminative ability for both investigated study endpoints ICU mortality and infection severity; better in comparison to CRP, similar to PCT. Combinations of biomarkers did not improve their predictive ability.
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