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Table 3 Scenarios to examine the effect of uncertainty in the model parameters

From: Choosing algorithms for TB screening: a modelling study to compare yield, predictive value and diagnostic burden

Variation in    Scenario Reference
1. Accuracy of screening tests (symptom, CXR) a. High sensitivity, low specificity* [5]
  b. Low sensitivity, high specificity* [5]
2. Accuracy of confirmatory tests (SSM, XP) a. High sensitivity, low specificity* [14, 15, 19, 20]
  b. Low sensitivity, high specificity* [14, 15, 19, 20]
3. Specificity of SSM, XP Assume 98% specificity for SSM and XP [22]
4. Proportion of persons with negative SSM or XP receiving clinical diagnosis a. 0%  
  b. 100%  
5. Accuracy of clinical diagnosis Entirely based on CXR diagnosis [18]
6. Accuracy of screening tests in different settings a. Sub Saharan Africa/high HIV-population [5]
  b. Asia/low HIV population [5]
  1. *set to the extremes of the ranges shown in Table 1.