Kailuan Study: Inflammatory Markers and Lung Cancer Risk by 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 dataset, authored by Songlin Li and last updated in 2026, analyzes associations between 15 inflammatory indicators and the risk of overall and pathological subtype-specific lung cancer.

Use Cases

• Predict long-term lung cancer risk based on inflammatory markers like SIRI and AISI.
• Analyze differential risk associations for pathological subtypes such as squamous cell carcinoma.
• Investigate effect modification by demographic factors like age, sex, and smoking status.
• Validate novel composite inflammatory indices as independent risk factors in cohort studies.

Strengths

• 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.
• Provides hazard ratios and confidence intervals for associations with overall and subtype-specific 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 is contained in a DOCX file (89.3 KB), suggesting a summary table rather than raw participant-level data.

Provenance

Source

figshare, author Songlin Li.

Collection Method

Cohort study from the Kailuan cohort.

Time Range

Study period includes a mean follow-up of 14.85 years.

Freshness

Last updated 2026-04-27 04:11:35; freshness should be verified.

Geography

Likely the Kailuan community in China, though not explicitly stated.