A hospital-based case-control study of identifying ovarian cancer using symptom index.

作者: Mi-Kyung Kim , Kidong Kim , Sun Min Kim , Jae Weon Kim , Noh-Hyun Park

DOI: 10.3802/JGO.2009.20.4.238

关键词:

摘要: Objective: Recently, a symptom index for identification of ovarian cancer, based on specific symptoms along with their frequency and duration, was proposed. The current study aimed at validation this in Korean population. Methods: A case-control 116 women epithelial cancer 209 control conducted using questionnaires eight symptoms. These included pelvic/abdominal pain, urinary urgency/frequency, increased abdominal size/bloating, difficulty eating/feeling full. considered positive if any the 8 present 12 times per month. were compared between group chi-square test. Logistic regression analysis used to determine whether predicted cancer. Sensitivity specificity also determined. Results: 65.5% 31.1% benign cysts, 6.7% routine screening (ps<0.001). Significantly higher proportion patients each as Results from logistic indicated that independently (p<0.001; OR, 10.51; 95% CI, 6.14 17.98). Overall, sensitivity 84.7%, respectively. Analyses by stage showed 44.8% I/II disease 72.9% III/IV disease. Conclusion: supported previous studies suggesting useful identifying

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