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Table 1 Baseline characteristics

From: Gut microbiome-based machine learning for diagnostic prediction of liver fibrosis and cirrhosis: a systematic review and meta-analysis

Author

year

country

DET

DIT

NO.TC

NO.TTC

DM

ES

AM

Caussy

2019

USA

cohort study

cirrhosis

26

72

16S rRNA

27 Genus

MRI

Dong

2020

USA

control trial

fibrosis

50

75

16S rRNA

26 Genus

UE

Chen

2020

CHN

control trial

cirrhosis

25

97

16S rRNA

32 Genus

MRI + CT

Gyu Oh

2020

USA

cohort study

cirrhosis

27

81

Shotgun metagenomic

37 Genus

Liver Biopsy

Loomba

2017

USA

cohort study

fibrosis

14

86

Whole genome shotgun

37 Genus

Liver Biopsy

Lang 1A

2020

USA

cohort study

cirrhosis

44

73

Shotgun metagenomic

420 Species

Liver Biopsy

Lang 1B

2020

USA

cohort study

fibrosis

29

73

Shotgun metagenomic

420 Species

Liver Biopsy

Lang 2

2020

DEU

cohort study

fibrosis

13

96

16S rRNA

37 Genus

Liver Biopsy

Lapidot

2020

ISR

control trial

cirrhosis

68

95

16S rRNA

/

Based on histological and/or clinical findings

Lee

2020

Kr

control trial

fibrosis

64

117

16S rRNA

2 Family

Liver Biopsy

Schwimmer

2019

USA

control trial

cirrhosis

87

124

16S rRNA and Metagenomics

3 Phylum

Liver Biopsy

  1. DET Designing Types, DIT Diagnostic Target, NO. TC Number of cirrhosis/fibrosis cases in training cohort, NO. TTC The total number of cases in the training cohort, DM Detection method, ES Enterobacteriaceae species, AM Assessment Method, MRI Magnetic Resonance Imaging, UE Ultrasound Elastography, CT Computed Tomography