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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.