Evidence map›Paper›PMID 42807789›Full record

ArticleInternational journal of medical sciences2026

Association of Preoperative Pan-Immune-Inflammation Value with Adverse Pathology and Oncological Outcomes Following Radical Prostatectomy: A Single-Center Retrospective Study.

Tsz-Yi Tang, Hao-Han Chang, Yung-Shun Juan, Yung-Chin Lee, Chia-Yang Lee, Jiun-Hung Geng, Shu-Pin Huang

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Article in International journal of medical sciences, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tsz-Yi TangGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Hao-Han ChangDepartment of Urology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Yung-Shun JuanDepartment of Urology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Yung-Chin LeeDepartment of Urology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Chia-Yang LeeGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Jiun-Hung GengGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Shu-Pin HuangGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High Pan-Immune-Inflammation Value (PIV) has been associated with poorer survival outcomes in men with metastatic prostate cancer. However, whether PIV is associated with adverse pathology and long-term oncological outcomes in localized prostate cancer treated with radical prostatectomy (RP) remains unclear. Methods: We retrospectively evaluated 808 men who underwent RP for prostate adenocarcinoma at Kaohsiung Medical University Hospital between 2012 and 2023; 442 met the eligibility criteria and were included in the final analysis. PIV was dichotomized using a Youden-derived cutpoint (153) based on subsequent androgen deprivation therapy (ADT), defined as any adjuvant or salvage ADT administered after RP. We used multivariable logistic and Cox regression models to evaluate associations between preoperative PIV and adverse pathological features, subsequent ADT, biochemical recurrence (BCR), metastasis-free survival (MFS), and overall survival (OS). Results: Median follow-up was 65.8 months. During follow-up, 100 men (22.6%) received subsequent ADT, 71 (16.1%) developed metastasis or died, and 54 (12.2%) died. High PIV was independently associated with ≥pT3 disease (adjusted odds ratio [aOR] 1.79, 95% confidence interval [CI] 1.14-2.81; p = 0.012), subsequent ADT (adjusted hazard ratio [aHR] 2.18, 95% CI 1.32-3.60; p = 0.002), shorter MFS (aHR 2.37, 95% CI 1.29-4.35; p = 0.006), and shorter OS (aHR 3.12, 95% CI 1.46-6.67; p = 0.003), but not with BCR. Conclusions: High preoperative PIV was independently associated with ≥pT3 disease, subsequent ADT, shorter MFS, and shorter OS after RP, but not with BCR. These findings suggest that PIV may reflect disease progression beyond PSA-defined recurrence and may serve as a complementary preoperative biomarker. Further validation in independent cohorts is required.

Indexed as

AdenocarcinomaInflammationNeoplasm Recurrence, LocalProstatectomyProstatic NeoplasmsAgedAndrogen AntagonistsHumansMaleMiddle AgedPreoperative PeriodProstateRetrospective StudiesAndrogen Antagonistsandrogen deprivation therapyoverall survivalpan-immune-inflammation valueprostate cancerradical prostatectomysystemic inflammation

Identifiers

PMID42807789
PMCPMC13617502

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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.