Evidence map›Paper›PMID 40215352›Full record

ArticleArchives of endocrinology and metabolism2025

Prognostic significance of the pan-immune-inflammation value (PIV) in patients with differentiated thyroid carcinoma.

Yusuf Öztürk, Muhammet Kocabaş, Melia Karaköse, Mustafa Kulaksizoğlu, Feridun Karakurt

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Article in Archives of endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yusuf ÖztürkDepartment of Endocrinology and Metabolism, Necmettin Erbakan University Faculty of Medicine, Konya, Türkiye.ORCID 0000-0001-7526-6063
Muhammet KocabaşDepartment of Endocrinology and Metabolism, Necmettin Erbakan University Faculty of Medicine, Konya, Türkiye.ORCID 0000-0002-6473-4164
Melia KaraköseDepartment of Endocrinology and Metabolism, Necmettin Erbakan University Faculty of Medicine, Konya, Türkiye.ORCID 0000-0001-7990-8350
Mustafa KulaksizoğluDepartment of Endocrinology and Metabolism, Necmettin Erbakan University Faculty of Medicine, Konya, Türkiye.ORCID 0000-0001-9908-7449
Feridun KarakurtDepartment of Endocrinology and Metabolism, Necmettin Erbakan University Faculty of Medicine, Konya, Türkiye.ORCID Department of Endocrinology and Metabolism, Necmettin Erbakan University Faculty of Medicine, Konya, Türkiye

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe pan-immune-inflammation value (PIV) is a novel inflammatory biomarker for evaluating inflammatory status in patients with cancer. The aim of this study was to evaluate the prognostic value of PIV in patients with differentiated thyroid cancers (DTCs). SUBJECTS AND

methodsThe study included 376 patients with DTC who underwent curative resection. The PIV was calculated using the formula (neutrophils × monocytes × platelets)/lymphocytes. The TNM stages 3-4 were considered advanced. Patients were also categorized into low-, intermediate-, and high-risk groups according to the AmericanThyroid Association (ATA) risk classification system. Demographic, laboratory, and clinicopathological data were obtained from the patients' files. The predictive value of PIV on TNM advanced stage, ATA high-risk category, and distant metastases was evaluated using receiver operating characteristic (ROC) curve analysis.

resultsThe optimal PIV values for predicting TNM advanced stage, ATA high-risk category, and distant metastases were, respectively, 331.62 (area under the curve [AUC] 0.730, sensitivity 66.7%, specificity 64.8%), 365.52 (AUC 0.822, sensitivity 79.5%, specificity 76.9%), and 357.65 (AUC 0.774, sensitivity 75.2%, specificity 72%). On regression analysis, PIV ≥ 365.52 (odds ratio [OR] 29.150, 95% confidence interval [CI] 8.148-104.290, p < 0.001) and PIV ≥ 357.65 (OR 7.224, 95% CI 1.700-30.693, p = 0.007) emerged as independent risk factors for ATA high-risk category and distant metastases, respectively.

conclusionAmong patients with DTC, PIV is an independent risk factor for distant metastases and ATA high-risk category. While this finding must be supported by more comprehensive studies, PIV has the potential to be used as a prognostic biomarker in these patients.

Indexed as

InflammationThyroid NeoplasmsAdultAgedBiomarkers, TumorFemaleHumansLymphocytesMaleMiddle AgedMonocytesNeoplasm StagingNeutrophilsPredictive Value of TestsPrognosisRetrospective StudiesBiomarkers, Tumordifferentiated thyroid cancerdistant metastaseshigh-riskPan-immune-inflammation value

Identifiers

PMID40215352
PMCPMC11967184

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