Table 1.
Authors | Year | Country | Sample types | Detection methods | QUADAS scores | Sample collection | Sample size, n | TP, n | FN, n | FP, n | TN, n | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wong et al.[24] | 2017 | China | Feces | Real-time qPCR | 12 | Colonoscopy | 206 | 75 | 29 | 9 | 93 | 72.1 | 91.2 | 89.3 | 76.2 |
Wong et al.[24] | 2017 | China | Feces | Real-time qPCR | 12 | Colonoscopy | 119 | 21 | 2 | 19 | 77 | 91.3 | 80.2 | 52.5 | 97.5 |
Liang et al.[25] | 2017 | China | Feces | Probe-based duplex qPCR | 11 | Colonoscopy | 370 | 132 | 38 | 41 | 159 | 77.7 | 79.5 | 76.3 | 80.7 |
Liang et al.[25] | 2017 | China | Feces | Probe-based duplex qPCR | 11 | Colonoscopy | 69 | 27 | 6 | 17 | 19 | 81.8 | 52.8 | 61.4 | 76.0 |
Yu et al.[26] | 2016 | China | CRC tissues | FISH | 11 | Colonoscopy | 113 | 62 | 31 | 4 | 16 | 66.7 | 80.0 | 93.9 | 34.0 |
Suehiro et al.[27] | 2017 | Japan | Feces | Droplet digital PCR | 11 | Colonoscopy or surgical operation | 218 | 85 | 73 | 6 | 54 | 53.8 | 90.0 | 93.4 | 42.5 |
Kostic et al.[20] | 2013 | USA | Feces | qPCR | 10 | Surgical operation | 58 | 27 | 0 | 15 | 16 | 100.0 | 51.6 | 64.3 | 100.0 |
Mira-Pascual et al.[19] | 2015 | Spain | Feces | Real-time qPCR | 10 | Colonoscopy | 16 | 6 | 1 | 2 | 7 | 85.7 | 77.8 | 75.0 | 87.5 |
Mira-Pascual et al.[19] | 2015 | Spain | CRC tissues | Real-time qPCR | 10 | Colonoscopy | 12 | 2 | 5 | 0 | 5 | 28.6 | 100.0 | 100.0 | 50.0 |
Fukugaiti et al.[28] | 2015 | Brazil | Feces | Real-time qPCR | 10 | Colonoscopy | 17 | 7 | 0 | 9 | 1 | 100.0 | 10.0 | 43.8 | 100.0 |
TP: True positive; FN: False negative; FP: False positive; TN: True negative; PPV: Positive predictive value; NPV: Negative predictive value; CRC: Colorectal cancer; F. nucleatum: Fusobacterium nucleatum; qPCR: Quantitative polymerase chain reaction; FISH: Fluorescence in situ hybridization; QUADAS: Quality Assessment of Diagnostic Accuracy Study.