From: Users’ Guides
to the Medical Literature Evidence-Based Medicine Working Group
Are the Results
Valid?
Was there an independent, blind comparison with a reference standard?
Did the patient sample include an appropriate spectrum of patients to whom the test will be applied?
Did the results of the test being evaluated influence the decision to perform the reference standard?
Were the test’s methods described clearly enough to permit replication?
What are the likelihood ratios for the test results?
Will the test be reproducible and well interpreted in my practice setting?
Are the results applicable to my patients?
Will the test results change my management?
Will my patients be better off because of the test?
References: JAMA
1994; 271:389-391 JAMA 1994; 271:703-707
The Likelihood Ratio for a test result compares the likelihood of that result in patients with disease to the likelihood of that result in patients without disease.
Dz+ Dz-
Test (+) a b LR(+) = a/(a+c)/b/(b+d)
Test (-) c d LR(-) = c/(a+c)/d/(b+d)
LR(+) = sen/(1-spec) = TPR/FPR
LR(-) = (1-sen)/spec = FNR/TNR
Key Properties of
LRs:
a. Posttest Odds = LR x Pretest Odds of Disease
b. Independent of Prevalence of Disease
Estimate Pretest Probabilities from published studies of prevalence, data from your practice setting, and your clinical intuition.
LRs >10 or <0.1 cause large changes
LRs 5-10 or 0.1-0.2 cause moderate changes
LRs 2-5 or 0.2-0.5 cause small changes
LRs <2 or >0.5 cause tiny changes
LRs = 1.0 cause no change at all
· Explode Sensitivity and Specificity
· Diagnosis& (px)
[see ACP J Club 1994 Sept-Oct; A10-A12]