Table 2_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. The dataset, created by Hengxin Chen and last updated in 2026, evaluates associations between 14 composite inflammatory indices and prostate cancer risk and all-cause mortality.

Use Cases

• Training machine learning models for prostate cancer prognosis based on inflammatory indices like SII, PLR, and NLR.
• Validating the predictive value of composite inflammatory indices for all-cause mortality risk in prostate cancer patients.
• Analyzing potential non-linear relationships between inflammatory indices and prostate cancer incidence using restricted cubic splines.
• Conducting external validation studies on inflammatory indices using a separate hospital-based cohort.

Strengths

• Analyzes data from 14,562 participants.
• Evaluates 14 distinct composite inflammatory indices.
• Includes external validation using a separate Chinese hospital-based cohort.

Limitations

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

Provenance

Source

National Health and Nutrition Examination Survey (NHANES) 1999–2018.

Collection Method

Analysis of survey data using multivariable logistic regression, Cox proportional hazards models, and machine learning models.

Time Range

1999–2018

Freshness

Last updated 2026-05-11 04:23:52; freshness should be verified.

Geography

United States (NHANES), with external validation from a Chinese hospital cohort.