Evidence map›Paper›PMID 41523425›Full record

ReviewCureus2025

Evaluating the Role of Urinary Amylase in Diagnosing Acute Pancreatitis: A Systematic Review and Meta-Analysis.

Cathleen A McCarrick, Ashokkumar Singaravelu, Ahmed Al Rasheed, Ronan Murphy

Abstract readReview
In one paragraph

Review in Cureus, 2025. 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

4 authors.

Cathleen A McCarrickSurgery, University College Dublin, Dublin, IRL.
Ashokkumar SingaraveluSurgery, University College Dublin, Dublin, IRL.
Ahmed Al RasheedEmergency Medicine, Royal College of Surgeons in Ireland, Dublin, IRL.
Ronan MurphyEmergency Medicine, University Hospital Kerry, Tralee, IRL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute pancreatitis is a life-threatening and increasingly common condition. Although serum amylase and lipase are established diagnostic markers, the clinical relevance of urinary amylase is still uncertain. This systematic review and meta-analysis aimed to assess the diagnostic accuracy of urinary amylase in adults with suspected acute pancreatitis. We registered our review with PROSPERO (CRD42024528325) and adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines. We systematically searched PubMed, EMBASE, Ovid Medline, Scopus, the Cochrane Library, and Web of Science for studies of adult patients with acute abdominal pain who had quantitative urinary amylase measurements performed. Two reviewers independently screened articles for inclusion and extracted data from eligible studies. The risk of bias and applicability of the included studies were assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Our search identified 178 studies, of which eight met the inclusion criteria; three cross-sectional studies and two case-control studies were included in the meta-analysis. Urinary amylase had a sensitivity of 0.80 (95% confidence interval (CI): 0.65-0.89) and specificity of 0.86 (95% CI: 0.76-0.93) at a model-derived optimal threshold of 1,373 IU/L. Our results indicate that urinary amylase does not appear to outperform serum amylase, and its suggested utility in delayed or atypical presentations of acute pancreatitis remains unsubstantiated.

Indexed as

acute pancreatitisdiagnostic accuracy urinary amylasediagnostic threshold urinary amylasepancreatitissensitivityspecificityurinary amylase

Identifiers

PMID41523425
PMCPMC12790414

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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.