Composite Inflammatory Indices for Prostate Cancer Risk and Mortality Prediction

A tabular dataset from a study evaluating 14 composite inflammatory indices for predicting prostate cancer risk and all-cause mortality. It analyzes data from 14,562 participants in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 and includes external validation from a Chinese hospital-based cohort. The dataset was authored by Hengxin Chen and last updated in May 2026.

Use Cases

• Predict prostate cancer risk based on indices like Systemic Immune-Inflammation Index (SII) and Platelet-to-Lymphocyte Ratio (PLR).
• Evaluate all-cause mortality risk in prostate cancer patients using indices like Neutrophil-to-Platelet Ratio (NPR) and Systemic Inflammation Response Index (SIRI).
• Validate prognostic models for prostate cancer using an external cohort from a Chinese hospital.
• Train machine learning models to assess the discriminatory performance of inflammation-related hematological features.

Strengths

• Dataset is based on a large sample of 14,562 participants from 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.
• Analysis employs multiple statistical methods, including multivariable logistic regression, Cox models, and machine learning.

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 sources.

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, and machine learning.

Time Range

1999–2018 for the primary NHANES analysis.

Freshness

Last updated 2026-05-11 04:23:58; freshness should be verified.

Geography

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