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

A cohort study of 99,925 participants from the Kailuan study, with a mean follow-up of 14.85 years, investigating associations between 15 inflammatory indicators and the incidence of lung cancer pathological subtypes. The dataset includes 1,804 incident lung cancer cases and presents hazard ratios for markers like SIRI and AISI. Author Songlin Li published the data on figshare in April 2026 under a CC-BY-4.0 license.

Use Cases

• Training risk prediction models for squamous cell carcinoma based on composite inflammatory indices like SIRI and AISI.
• Analyzing effect modification by age, sex, and smoking status on inflammation-cancer associations mentioned in the stratified analyses.
• Benchmarking novel inflammatory markers against traditional counts (e.g., white blood cells, neutrophils) for long-term and 10-year lung cancer risk.

Strengths

• Large cohort size of 99,925 participants provides a substantial sample for analysis.
• Longitudinal design with a mean follow-up period of 14.85 years allows for long-term risk assessment.
• Analysis includes 15 distinct inflammatory indicators and results for multiple pathological subtypes.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data table is unknown, which may limit suitability assessment.
• The dataset is very small at 56.1 KB, indicating limited scope, likely containing summary results rather than raw participant-level data.

Provenance

Source

Kailuan cohort study.

Collection Method

Prospective cohort study with clinical follow-up.

Time Range

Mean follow-up of 14.85 years (specific start/end dates not provided).

Freshness

Last updated 2026-04-27 04:11:33; freshness should be verified.

Geography

Likely based on the Kailuan study population in China; specific geography not stated.