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Categorization They developed a tool which stratifies patients into 3 groups: high, intermediate, and low risk. Overall 8% of the sample (n=486) proved to have an ectopic pregnancy. In the high risk group 12 of 44 (27%) had an ectopic In the moderate risk group 26 of 350 (7%) had an ectopic In the low risk group 1 of 92 (1%) had an ectopic
Discrimination: What was the sensitivity and specificity of the rule for detecting or excluding an ectopic? For differentiating high risk from low or intermediate risk patients
the rule derived includes two criteria:
In English, if they have either of these findings they have a high probability of ectopic (good specificity, specificity=spin="specificity, rulesin. However, absence of both of these signs does not exclude an ectopic (poor sensitivity, sensitivity=snout=sensitivity rulesout). For differentiating low from moderate risk groups the rule requires
4 additional tests
Thus if fetal heart tones are present, the pain is within the confines described, cmt is absent, and no adnexal tenderness present, the patient falls into the low risk group. For differentiating low from moderate risk patients (after excluding the high risk group) the derived decision tool was 96% (81-100) sensitive and it was 22% (18-26) specific. Not bad, but not perfect, for determining low risk patients. What were the likelihood ratio's For the entire sample:
Excluding patients who fell in the high risk group
What do these LR's mean? Calibration: We have no calibration data. Precision:
See an example of the contingency table used to calculate these values
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Did the rule have a beneficial effect on patient care? This is a rule derivation study. The effect, or potential effect, on care was not evaluated |