TABLE 1.
Name | Sensitivity% | Specificity% | AUC | Algorithm | Sample | Case | Region | References |
Fn | 73.1 | 90.8 | 0.860 | Relative Abundance | Feces | 490 | China | Wong et al., 2017a |
Pa | 56.7 | 86.3 | 0.720 | Logistic regression | Feces | 390 | China | Wong et al., 2017a |
Pm | 45.2 | 97.1 | 0.730 | Logistic regression | Feces | 390 | China | Wong et al., 2017a |
Gm | 39.0 | 76.0 | 0.622 | Relative Abundance | Feces | 333 | Spain | Malagón et al., 2019 |
Ps | 53.0 | 76.0 | 0.710 | Relative Abundance | Feces | 333 | Spain | Malagón et al., 2019 |
Bf | 33.0 | 0.76 | 0.571 | Relative Abundance | Feces | 333 | Spain | Malagón et al., 2019 |
pks | 56.4 | 82.0 | NA | Relative Abundance | Feces | 238 | Sweden | Eklöf et al., 2017 |
Fp | 81.8 | 62.6 | 0.741 | Abundance Rate | Feces | 549 | China | Rezasoltani et al., 2018 |
Bb | 90.4 | 76.4 | 0.870 | Abundance Rate | Feces | 549 | China | Rezasoltani et al., 2018 |
Cs | 73.3 | 66.1 | 0.736 | logistic regression | Feces | 781 | China | Xie et al., 2017 |
Ap | NA | NA | NA | Relative abundance | Feces | 146 | Meta | Yachida et al., 2019 |
Gl | NA | NA | NA | Relative abundance | Mucosa | 207 | China | Nakatsu et al., 2015 |
m3 | 62.1 | 79.0 | 0.741 | Relative Abundance | Feces | 1012 | China | Liang et al., 2019 |
Bd | NA | NA | NA | Relative abundance | Feces | 179 | French | Sobhani et al., 2011 |
afaC | NA | NA | NA | Relative abundance | Tissue | 55 | South Africa | Viljoen et al., 2015 |
Akk | NA | NA | NA | Relative abundance | Feces | 112 | China | Wang et al., 2020 |
Cb | NA | NA | 0.930 | Random forest | Feces | 60 | China | Yang et al., 2020 |
NA, non-available; Meta, meta-analysis; Gemella morbillorum (Gm); Bacteroides fragilis (Bf); pks + clbA + Escherichia coli (pks); Clostridium symbiosum (Cs); Atopobium parvulum (Ap); Granulicatella (Gl); Bacteroides (Bd); afaC-positive E. coli (afaC).