Evidence map›Paper›PMID 42414909›Full record

ArticleBMC gastroenterology2026

Diagnostic efficacy of pan-immune inflammation value for ulcerative colitis activity: a study based on multi-indicator comparison and diagnostic grey zone validation.

Sisi Xu, Mengchao Wen, Anqi Yang, Xinyuan Ma, Jun Dong

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In one paragraph

Article in BMC gastroenterology, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sisi Xu *Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Mengchao Wen *Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Anqi YangAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Xinyuan MaAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Jun DongAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China. yfy0022@njucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFaecal calprotectin (FC) has limitations including inconvenient sampling and limited accessibility, while several blood markers derived from complete blood counts demonstrate suboptimal diagnostic performance in monitoring ulcerative colitis (UC) disease activity. There is an urgent need for superior noninvasive biomarkers. The pan-immune inflammation value (PIV), a novel composite index derived from complete blood counts, has shown prognostic value in malignancies but remains unexplored in UC activity assessment.

methodsA retrospective analysis was conducted on 196 patients with UC (145 with active disease, 51 in remission), with 136 patients forming the FC subcohort. The PIV, systemic immune inflammation index (SII), systemic inflammation response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and FC were compared using receiver operating characteristic curves. Sensitivity analyses and a diagnostic grey zone (defined as ± 15% around the optimal NLR and PLR cut-offs) were employed to assess robustness.

resultsPatients with active UC demonstrated higher PIV, SII, SIRI, NLR, and PLR compared with those in remission. The area under the curve (AUC) for PIV was 0.731, outperforming other CBC-derived blood markers and showing numerically comparable performance with FC (AUC = 0.764, 95% confidence interval: 0.668-0.860), with no statistically significant difference between the two (P = 0.547). Within the diagnostic grey zone (± 15%) where NLR and PLR were inconclusive, PIV was the only haematological marker retaining statistical significance in the full cohort, albeit with only fair discriminatory ability (AUC = 0.664, 95% CI: 0.539-0.789; P = 0.010). The primary diagnostic performance findings remained robust after winsorization, propensity score matching, and bootstrap resampling validation.

conclusionPIV represents a promising low-cost, blood-derived biomarker for assessing UC activity. In clinical settings where FC is unavailable or stool sampling is not feasible, PIV may provide supplementary discriminative information. However, its role as a substitute for FC or as a tool to guide decision-making in diagnostically uncertain scenarios requires confirmation in prospective, externally validated studies before any clinical application.

trial registrationNot applicable. This study is a retrospective observational study and does not report the results of a health care intervention.

Indexed as

Colitis, UlcerativeAdultBiomarkersFecesFemaleHumansInflammationLeukocyte L1 Antigen ComplexLymphocytesMaleMiddle AgedNeutrophilsPlatelet CountRetrospective StudiesROC CurveSensitivity and SpecificityBiomarkersLeukocyte L1 Antigen ComplexBiomarkersDiagnostic grey zoneDisease activityPan-immune inflammation valueUlcerative colitis

Identifiers

PMID42414909
PMCPMC13629099

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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.