Evidence map›Paper›PMID 40863214›Full record

ReviewDiseases (Basel, Switzerland)2025

Pancreatic Stone Protein as a Versatile Biomarker: Current Evidence and Clinical Applications.

Federica Arturi, Gabriele Melegari, Riccardo Mancano, Fabio Gazzotti, Elisabetta Bertellini, Alberto Barbieri

Abstract readReview
In one paragraph

Review in Diseases (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

6 authors.

Federica ArturiSchool of Anaesthesia and Intensive Care, University of Modena and Reggio Emilia, 41121 Modena, Italy.
Gabriele MelegariDepartment of Anaesthesia and Intensive Care, Azienda Ospedaliera Universitaria di Modena, 41125 Modena, Italy.ORCID 0000-0003-4512-4835
Riccardo MancanoSchool of Anaesthesia and Intensive Care, University of Modena and Reggio Emilia, 41121 Modena, Italy.
Fabio GazzottiDepartment of Anaesthesia and Intensive Care, Azienda Ospedaliera Universitaria di Modena, 41125 Modena, Italy.
Elisabetta BertelliniSchool of Medicine, University of Modena and Reggio Emilia, 41121 Modena, Italy.
Alberto BarbieriSchool of Anaesthesia and Intensive Care, University of Modena and Reggio Emilia, 41121 Modena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe identification and clinical implementation of robust biomarkers are essential for improving diagnosis, prognosis, and treatment across a wide range of diseases. Pancreatic stone protein (PSP) has recently emerged as a promising candidate biomarker.

objectiveThis narrative review aims to provide an updated and comprehensive overview of the clinical applications of PSP in infectious, oncological, metabolic, and surgical contexts.

methodsWe conducted a structured literature search using PubMed

resultsPSP has shown strong diagnostic and prognostic potential in sepsis, where it may outperform traditional markers such as CRP and PCT. It has also demonstrated relevance in gastrointestinal cancers, type 1 and type 2 diabetes, and perioperative infections. PSP levels appear to rise earlier than other inflammatory markers and may be less affected by sterile inflammation.

conclusionPSP represents a versatile and clinically valuable biomarker. Its integration into diagnostic protocols could enhance early detection and risk stratification in critical care and oncology settings. However, widespread adoption is currently limited by the availability of point-of-care assay platforms.

Indexed as

biomarkerpancreatic stone proteinsepsis

Identifiers

PMID40863214
PMCPMC12386052

What OpenQuestion 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 OpenQuestion graph.