Table 4 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank

Margarita Cariolou; Sofia Christakoudi; Marc J. Gunter; Alicia K. Heath; Amy Berrington de González; Doris S.M. Chan; David C. Muller; Konstantinos K. Tsilidis

doi:10.1158/2767-9764.29580985

July 16, 2025

Table 4 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank

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Key Points

MAIN FINDING: Higher adiposity is linked to poorer survival rates in prostate cancer patients.
KEY EVIDENCE: Cox proportional hazards ratios indicate significant association between adiposity and non-prostate cancer mortality.
APPROACH: The study analyzed data from the UK Biobank using Cox proportional models to assess survival outcomes.
SIGNIFICANCE: Understanding the role of adiposity can improve strategies for managing prostate cancer patients.

Implication

Cox model reveals the link between adiposity and prostate cancer survival, suggesting improved outcomes with lower adiposity levels.

Abstract

Cox proportional HRs and 95% CIs for the linear association between adiposity and non–prostate cancer mortality (minimally vs. main/fully adjusted model)

Discussion

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Cite This Study

Cariolou et al. (2025) studied this question.

synapsesocial.com/papers/689a02c3e6551bb0af8ccc4d https://doi.org/10.1158/2767-9764.29580985

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Table 4 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank

Key Points

Implication

Abstract

Discussion

Cite This Study

Table 4 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank

Key Points

Implication

Abstract

Discussion

Cite This Study

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