TABLE 2.
Name | Sensitivity% | Specificity% | AUC | Technique | Algorithm | Sample | Case | Region | References |
Fn, Pa, Pm | 89.4 | 93.0 | 0.950 | qPCR | LR | Feces | 390 | China | Wong et al., 2017a |
Ps/EUB, Bf/EUB, Bt/EUB | 80.0 | 90.0 | 0.837 | qPCR | LR | Feces | 333 | Spain | Malagón et al., 2019 |
pks, Fn | 89.7 | 61.0 | NA | qPCR | DA | Feces | 238 | Sweden | Eklöf et al., 2017 |
Fn/Fp | 95.0 | 71.3 | 0.914 | qPCR | AR | Feces | 549 | China | Rezasoltani et al., 2018 |
Fn/Bb | 84.6 | 92.3 | 0.911 | qPCR | AR | Feces | 549 | China | Rezasoltani et al., 2018 |
Fn/Fp, Fn/Bb | 80.8 | 85.6 | 0.910 | qPCR | AR | Feces | 549 | China | Rezasoltani et al., 2018 |
Fn, Fp, Bb | 92.5 | 83.5 | 0.943 | qPCR | AR | Feces | 549 | China | Rezasoltani et al., 2018 |
5 OTUs | 90.0 | 80.0 | 0.896 | 16SrDNA | LR | Feces | 90 | America | Zackular et al., 2014 |
6 OTUs | 90.0 | 83.0 | 0.922 | 16SrDNA | LR | Feces | 90 | America | Zackular et al., 2014 |
22OTUs | 81.2 | 97.1 | 0.673 | 16SrDNA | RF | Feces | 490 | Canada, United States | Baxter et al., 2016b |
34 OTUs | 51.7 | 97.1 | 0.847 | 16SrDNA | RF | Feces | 490 | Canada, United States | Baxter et al., 2016b |
23 OTUs | 70.0 | 92.8 | 0.829 | 16SrDNA | RF | Feces | 490 | Canada, United States | Baxter et al., 2016b |
16 OTUs | 53.0 | 96.0 | 0.900 | 16SrDNA | RF | Oral swabs | 60 | Ireland | Flemer et al., 2018 |
28 OTUs (16 oral swabs, 12 feces) | 74.0 | 94.0 | 0.940 | 16SrDNA | RF | Feces and oral swabs | 60 | Ireland | Flemer et al., 2018 |
63 OTUs (29 oral swabs, 34 feces) | 88.0 | 94.0 | 0.980 | 16SrDNA | RF | Feces and oral swabs | 60 | Ireland | Flemer et al., 2018 |
22 OTUs | 58.0 | 92.0 | 0.840 | Metagenomics | LR | Feces | 156 | France, Germany | Zeller et al., 2014 |
7 OTUs | 87.0 | 83.7 | 0.886 | Metagenomics | RF | Feces | 128 | China | Yu et al., 2017a |
15 MLGs | NA | NA | 0.983 | Metagenomics | RF | Feces | 96 | Austria | Feng et al., 2015 |
16 OTUs | NA | NA | 0.860 | Metagenomics | RF | Feces | 969 | Meta | Thomas et al., 2019a |
17 OTUs | 60.1 | 84.8 | 0.804 | Metagenomics | RF | Feces | 424 | Meta | Shah et al., 2018 |
30 OTUs | NA | NA | 0.830 | Metagenomics | RF | Feces | 208 | Meta | Yachida et al., 2019 |
8 taxa | NA | NA | 0.750 | 16SrDNA | RF | Feces | 492 | Meta | Yachida et al., 2019 |
12 genus | NA | NA | 0.846 | 16SrDNA | RF | Feces | 1674 | Meta | Sze and Schloss, 2018 |
18 OTUs | NA | NA | 0.831 | 16SrDNA | RF | Feces | 404 | Canada, United States | Baxter et al., 2016a |
32 OTUs | NA | NA | 0.853 | 16SrDNA | RF | Feces | 404 | Canada, United States | Baxter et al., 2016a |
41 OTUs | NA | NA | 0.686 | 16SrDNA | RF | Feces | 404 | Canada, United States | Baxter et al., 2016a |
12 phylotypes | NA | NA | 0.831 | 16SrDNA | LEfSe | Mucosa | 160 | China | Nakatsu et al., 2015 |
18 OTUs | NA | NA | 0.871 | 16SrDNA | RF | Mucosa | 160 | China | Nakatsu et al., 2015 |
38 phylotypes | NA | NA | 0.846 | 16SrDNA | Dirichlet MM | Mucosa | 160 | China | Nakatsu et al., 2015 |
m3, Fn, Ch, Bc | 85.2 | 80.2 | 0.907 | qPCR | LR | Feces | 1012 | China | Liang et al., 2019 |
m3, Fn | NA | NA | 0.891 | qPCR | LR | Feces | 1012 | China | Liang et al., 2019 |
Fn, Ch, m7, Bc | 92.8 | 79.8 | 0.886 | qPCR | SLC | Feces | 370 | China | Liang et al., 2017 |
Fn, Ch, m7, Bc, Ri | 74.3 | 88.9 | 0.843 | qPCR | LR | Feces | 128 | China | Liang et al., 2017 |
17 IMG species | NA | NA | 0.860 | Metagenomics | IMG | Feces | 128 | China | Liang et al., 2017 |
7 species-level mOTUs | NA | NA | 0.890 | Metagenomics | mOTUs | Feces | 128 | China | Liang et al., 2017 |
27 MLG | NA | NA | 0.960 | Metagenomics | MLG | Feces | 128 | China | Liang et al., 2017 |
Fn, Pa, Pm (4 genes) | NA | NA | 0.770 | Metagenomics | CRC index | Feces | 96 | China, Denmark, Austrian, French | Yu et al., 2017a |
22 genes | NA | NA | 0.998 | Metagenomics | RF | Feces | 107 | China | Yang et al., 2020 |
Cb, Cs | NA | NA | 0.935 | qPCR | RF | Feces | 60 | China | Yang et al., 2020 |
7 CRC-enriched bacteria | NA | NA | 0.800 | Metagenomics | SVM | Feces | 526 | Meta | Dai et al., 2018 |
55 species | NA | NA | 0.830 | Metagenomics | RF | Feces | 181 | Meta | Sze and Schloss, 2018 |
DA, Decision Abundance; AR, Abundance Rate; SLC, Simple linear combination; Dirichlet MM, Dirichlet multinomial mixtures; Clostridium hathewayi (Ch); Unclassified species (m7); Roseburia intestinalis (Ri); Bacteroides thetaiotaomicron (Bt).