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, 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 on 2026-04-27.

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 from the study.
• Investigating effect modification by age, sex, and smoking status on biomarker associations with lung cancer.
• Evaluating the prognostic value of novel composite indices like AISI and SIRI for long-term cancer risk.

Strengths

• Includes data from 99,925 participants, providing a substantial cohort size.
• Features a long mean follow-up period of 14.85 years for longitudinal analysis.
• 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 may reflect geographic bias inherent to the single Kailuan cohort source.

Provenance

Source

figshare, authored by Songlin Li.

Collection Method

Data likely originates from the Kailuan cohort study, a prospective observational study.

Time Range

Study period includes a mean follow-up of 14.85 years; specific start and end dates are not provided.

Freshness

Last updated 2026-04-27 04:11:34; freshness should be verified.

Geography

Likely focused on the Kailuan community in China, based on the study name.