Table 5_Comparative evaluation of composite inflammatory indices for predicting prostate c

14,562 participants from the National Health and Nutrition Examination Survey (NHANES) 1999–2018 were analyzed to evaluate associations between 14 composite inflammatory indices and prostate cancer risk and mortality. The dataset was created by Hengxin Chen and includes results from multivariable logistic regression, Cox models, and machine learning analyses, with external validation from a Chinese hospital-based cohort. It was last updated on May 11, 2026.

Use Cases

• Evaluating the predictive performance of the Systemic Immune-Inflammation Index (SII) for prostate cancer risk.
• Assessing the association between Platelet-to-Lymphocyte Ratio (PLR) and all-cause mortality risk in prostate cancer patients.
• Training machine learning models to predict prostate cancer prognosis based on inflammation-related hematological features.
• Validating the prognostic relevance of Neutrophil-to-Lymphocyte Ratio (NLR) across different populations.

Strengths

• Analyzes data from 14,562 participants from a large, nationally representative survey (NHANES).
• Evaluates 14 distinct composite inflammatory indices, including SII, PLR, NLR, LMR, PNI, HALP, MHR, NPR, SIRI, AISI, CAR, CLR, and IBI.
• Includes external validation using a separate Chinese hospital-based cohort.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and temporal bias inherent to the NHANES and single external cohort.

Provenance

Source

National Health and Nutrition Examination Survey (NHANES) and an external Chinese hospital-based cohort.

Collection Method

Analysis of survey data using multivariable logistic regression, Cox proportional hazards models, generalized estimating equations, generalized additive models, restricted cubic splines, Kaplan-Meier survival analysis, and machine learning models.

Time Range

1999–2018 for the primary NHANES data.

Freshness

Last updated 2026-05-11 04:23:36; freshness should be verified.

Geography

United States (NHANES) and China (external validation cohort).