Danish Cohort Study of Inflammatory Indexes and Sex-Specific Lung Cancer Risk

10,887 participants from the Lolland-Falster Health Study (LOFUS) were linked to the Danish Pathology Data Bank to investigate systemic inflammatory biomarkers for lung cancer risk. The study, with a maximum follow-up of 6.6 years, found associations between four inflammatory indexes and lung cancer, with differing strengths for men and women. It supports the development of sex-specific risk models to complement existing screening criteria based on age and smoking.

Use Cases

• Validating sex-specific associations between neutrophil-to-lymphocyte ratio (NLR) and lung cancer risk in men
• Assessing the C-reactive protein to albumin ratio (CAR) as a potential biomarker for lung cancer risk in women
• Building logistic regression models for lung cancer prediction that integrate inflammatory indexes with age and smoking status
• Determining optimal cutoff points for inflammatory biomarkers using methods like the Youden index

Strengths

• Dataset is derived from a population-based cohort study (LOFUS) linked to a national pathology registry, providing clinical validation.
• Includes data on 10,887 individuals with complete follow-up for up to 6.6 years and 58 lung cancer cases.
• Analysis is stratified by sex and examines four distinct systemic inflammatory indexes (e.g., NLR, SII, CAR).

Limitations

• Column names and the full variable set are not provided, limiting understanding of the data structure.
• The dataset appears to be supplementary material (DOCX format), which may not be in an analysis-ready tabular format.
• Internal validation was performed via bootstrapping, but external validation in other populations is noted as needed.

Provenance

Source

Lolland-Falster Health Study (LOFUS) linked to the Danish Pathology Data Bank (Patobank).

Collection Method

Population-based cohort study with data linkage.

Time Range

Maximum follow-up period of 6.6 years (specific start year not provided).

Freshness

Last updated 2026-03-20.

Geography

Denmark (Lolland-Falster region).