Propensity score analysis of lung cancer risk in a population with high prevalence of non-smoking related lung cancer
BMC Pulmonary Medicine Sep 09, 2017
Lin KF, et al. Â This research was planned to study multiple potential risk factors for nonsmoking-related lung cancer among Asian Ethnic Groups. The findings from the present study suggested that risk-based prediction model based on the family history of lung cancer and female gender could potentially improve the efficiency of lung cancer screening programs in Taiwan.
Methods
- A propensity score-mated cohort analysis was used for this investigation.
- From August 2013 to October 2014, the medical record of 1975 asymptomatic healthy subjects (40 ~ 80 years old) were retrospectively reviewed who voluntarily underwent low-dose chest CT.
- The authors recorded the clinical information and nodule characteristics.
Results
- According to family history of lung cancer, a propensity score-mated cohort analysis was applied to adjust for potential bias and to create 2 comparable groups.
- 392 pairs of subjects were matched with family history of lung cancer and subjects without history for the primary analysis.
- Logistic regression demonstrated that female gender and a family history of lung cancer were the 2 most important predictor of lung cancer in the endemic area with high prevalence of nonsmoking-related lung cancer (OR = 11.199, 95% CI = 1.444Â86.862; OR = 2.831, 95% CI = 1.000136Â8.015).
- It was found that the number of nodules was higher in subjects with family history of lung cancer in comparison with subjects without family history of lung cancer (OR = 1.309, 95% CI = 1.066Â1.607).
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