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Table 3 Change in probability of TBM after one or more negative confirmatory test results, relative to TBM probability when no test results are known

From: A novel diagnostic model for tuberculous meningitis using Bayesian latent class analysis

Scenario

Smear

MGIT

Xpert

HIV (-)

HIV ( +)

a

-

?

?

0.46 (0.25—0.62)

0.49 (0.28—0.70)

b

?

?

-

0.70 (0.58—0.79)

0.49 (0.31—0.69)

c

-

-

?

0.40 (0.19—0.56)

0.31 (0.15—0.52)

d

-

?

-

0.42 (0.21—0.58)

0.28 (0.14—0.48)

e

-

-

-

0.38 (0.18—0.54)

0.21 (0.10—0.39)

  1. Values are in the form Median (95% Credible interval)
  2. Assuming pre-test risk is 1, the values measure post-test risk in each scenario
  3. In each scenario, “-” represents a negative test result and “?” represents an unknown (or unretrieved) test result
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BMC Infectious Diseases

ISSN: 1471-2334

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