July 16, 2025

Supplementary Figure 6 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank

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Authors

MCMargarita CariolouImperial College London SCSofia ChristakoudiKing's College London MGMarc J. GunterUniversité Paris-Sud

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Implication

Restricted cubic spline analysis reveals associations between body fat percentage and prostate cancer survival, indicating potential impacts on mortality rates.

Key Points

Adiposity close to diagnosis is linked with prostate cancer survival and overall mortality rates.
The analysis highlights the role of body fat percentage in determining prostate cancer-specific mortality.
Restricted cubic spline models were used to assess the relationship between body fat and various mortality outcomes.
Understanding these associations may inform strategies for improving prostate cancer patient care and survival.

Cite This Study

Cariolou et al. (2025) studied this question.

synapsesocial.com/papers/689a02c3e6551bb0af8ccc3f https://doi.org/10.1158/2767-9764.29581024

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Implication

Restricted cubic spline analysis reveals associations between body fat percentage and prostate cancer survival, indicating potential impacts on mortality rates.

Supplementary Figure 6 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank

Discussion

Member takes

Implication

Key Points

Cite This Study

Supplementary Figure 6 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider