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. 2019 Dec 2;4:191. [Version 1] doi: 10.12688/wellcomeopenres.15603.1

Table 5. Accuracy statistics of each tool and each dataset, using all available drugs.

All values are percentages. The best value for each statistic is shown in bold. Drugs used for each dataset are as follows. Training: Amikacin, Capreomycin, Ciprofloxacin, Ethambutol, Isoniazid, Kanamycin, Moxifloxacin, Ofloxacin, Rifampicin, Streptomycin; Global and Prospective: Amikacin, Capreomycin, Ciprofloxacin, Ethambutol, Isoniazid, Kanamycin, Moxifloxacin, Ofloxacin, Pyrazinamide, Rifampicin, Streptomycin. VME, very major error rate (false-negative rate); ME, major error rate (false-positive rate); PPV, positive predictive value; NPV, negative predictive value.

(a) Training dataset
Tool Sensitivity Specificity VME ME PPV NPV
ARIBA 90.04 97.91 9.96 2.09 85.59 98.62
KvarQ 80.81 98.03 19.19 1.97 84.96 97.38
MTBseq 82.68 97.65 17.32 2.35 82.91 97.62
Mykrobe 91.64 98.21 8.36 1.79 87.57 98.84
TB-Profiler 89.71 95.02 10.29 4.98 71.25 98.53
(b) global dataset
Tool Sensitivity Specificity VME ME PPV NPV
ARIBA 87.30 96.22 12.70 3.78 91.64 94.11
KvarQ 79.99 95.81 20.01 4.19 90.05 90.99
MTBseq 81.34 96.03 18.66 3.97 90.67 91.56
Mykrobe 88.12 96.16 11.88 3.84 91.58 94.47
TB-Profiler 87.39 92.89 12.61 7.11 85.36 93.95
(c) prospective dataset
Tool Sensitivity Specificity VME ME PPV NPV
ARIBA 90.10 98.87 9.90 1.13 78.74 99.54
KvarQ 84.11 99.21 15.89 0.79 83.19 99.26
MTBseq 85.82 99.00 14.18 1.00 80.05 99.34
Mykrobe 90.22 99.16 9.78 0.84 83.39 99.54
TB-Profiler 83.01 97.24 16.99 2.76 58.33 99.19