Objectives To construct scoring for colposcopic examination that can better prediction for detection CIN 2+.
Methods Six hundred and fifty patients referred for colposcopy were examined. Four variables were scored: acetowhiteness, borders, vessels, and staining time from the regression coefficients. Finally, the respective roc curves were graphed and choose the best. Hypothesis testing is done to see which curve is the best.
Results The score is summarized in table 1. The analysis showed good sensitivity and specificity see table 2. The replacement of values by the coefficients have a more useful and simple. To choose the best score, AUC graphs were made comparing the different scores graph 1.
Conclusions Scoring needs two variables (Acetowhiteness plus borders), the best cutoff point is 7 with a Se 95%, Es 87%, PPV 94%, NPV 88%
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