Kailuan Study: Inflammation and Lung Cancer Risk Across Pathological Subtypes

99,925 participants from the Kailuan cohort were followed for a mean of 14.85 years, resulting in 1,804 incident lung cancer cases. The dataset contains results evaluating associations between 15 inflammatory indicators and the long-term and 10-year risk of overall and subtype-specific lung cancer. The study was authored by Songlin Li and last updated on 2026-04 27.

Use Cases

• Train risk prediction models for lung cancer based on inflammatory markers like SIRI and AISI.
• Analyze differential associations between inflammation and lung cancer subtypes such as squamous cell carcinoma.
• Conduct stratified analyses to understand effect modification by age, sex, and smoking status.
• Validate novel composite inflammatory indices like SIRI as independent risk factors.

Strengths

• Data is derived from a large cohort of 99,925 participants.
• Results are based on a long mean follow-up period of 14.85 years.
• Analysis includes 15 specific inflammatory indicators and hazard ratios for multiple associations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 12.3 KB, indicating it likely contains summary results rather than raw participant-level data.

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 04:11:34; freshness should be verified.

Geography

Likely the Kailuan region in China, based on the study name.