Kailuan Study: Inflammation and Lung Cancer Risk by Pathological Subtype

A 14.85-year mean follow-up study of 99,925 participants from the Kailuan cohort, identifying 1,804 incident lung cancer cases. The research evaluates associations between 15 inflammatory indicators and long-term and 10-year risk of overall and subtype-specific lung cancer. The dataset was authored by Songlin Li and last updated on 2026-04-27.

Use Cases

• Assessing the association between systemic inflammatory markers like SIRI and AISI and overall lung cancer risk based on hazard ratios.
• Analyzing differential risk associations for lung cancer pathological subtypes such as squamous cell carcinoma and adenocarcinoma.
• Investigating effect modification by demographic factors like age, sex, and smoking status on inflammation-cancer relationships.
• Evaluating the predictive performance of novel composite inflammatory indices for 10-year lung cancer risk.

Strengths

• Based on a large cohort of 99,925 participants with a long mean follow-up of 14.85 years.
• Analyzes 15 specific inflammatory indicators, including novel composite indices SIRI and AISI, with reported hazard ratios and confidence intervals.
• Provides subtype-specific analyses for squamous cell carcinoma, adenocarcinoma, and small cell lung cancer.

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 bias inherent to the single Kailuan cohort source.

Provenance

Source

figshare

Collection Method

Observational cohort study from the Kailuan cohort.

Time Range

Mean follow-up period of 14.85 years.

Freshness

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

Geography

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