Kailuan Study: Inflammatory Markers and Lung Cancer Risk, 99,925 Participants

The Kailuan cohort study in China followed 99,925 participants for a mean of 14.85 years, identifying 1,804 incident lung cancer cases. It evaluates associations between 15 inflammatory indicators and the long-term and 10-year risk of overall and subtype-specific lung cancer. The dataset was authored by Songlin Li and last updated in April 2026.

Use Cases

• Predicting overall lung cancer risk based on inflammatory markers like white blood cell count and SIRI.
• Analyzing subtype-specific risk associations for squamous cell carcinoma using hazard ratios for markers like SIRI.
• Investigating effect modification by age, sex, and smoking status on inflammation-related lung cancer risk.
• Evaluating the predictive performance of novel composite inflammatory indices like AISI and SIRI for long-term risk.

Strengths

• Includes data from a large cohort of 99,925 participants.
• Features a long mean follow-up period of 14.85 years.
• Analyzes 15 specific inflammatory indicators, including novel composite indices SIRI and AISI.
• Provides hazard ratios and confidence intervals for associations with overall and subtype-specific lung cancer.

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 bias inherent to the single Kailuan cohort source.

Provenance

Source

figshare, authored by Songlin Li.

Collection Method

Cohort study from the Kailuan cohort.

Time Range

Mean follow-up of 14.85 years.

Freshness

Last updated 2026-04-27 04:11:36; freshness should be verified.

Geography

Likely China, based on the Kailuan study name.