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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. – 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 = 1.444–86.862; OR = 2.831, 95% CI = 1.000136–8.015).
  • 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 = 1.066–1.607).

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