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Table 2 Summary of study characteristics of included studies

From: A systematic review of enteric dysbiosis in chronic fatigue syndrome/myalgic encephalomyelitis

Author

Year

Study design

Sample type

Dx

Country

Samples size

Method of analysing microbiome

Quality score

CFS/ME

Control

Armstrong et al.

2016

Observational case-control

CFS/ME

Canadian Criteria (2003)

Australia

34 F

25 F

Bacterial culture and MALDI-TOF MS

73% (good)

Frémont et al.

2013

Observational case-control

CFS/ME

Fukuda (1994)

Belgium

Belgian: 15 F, 3 M; Norwegian: 22 F, 3 M

Belgian: 15 F, 4 M; Norwegian: 14F, 3 M

PCR amplification and high-throughput sequencing of 16S rRNA genes

67% (fair)

Giloteauc et al.

2016

Observational case-control

CFS/ME

Fukuda (1994)

USA

38 F, 11 M

30 F, 9 M

16S rRNA genes sequenced from faecal samples

47% (poor)

Mandarano et al.

2018

Observational case-control

CFS/ME

Fukuda (1994)

USA

Taxa abundance comparisons: 13 F, 4 M; diversity subgroup: 7 F, 4 M

Taxa abundance comparisons: 16 F, 1 M; diversity subgroup: 9 F, 1 M

DNA extraction, 18S amplification, sequencing using QIIME

47% (poor)

Rao et al.

2009

RCT, pilot study

CFS/ME

Canadian Criteria (2003)

Canada

CFS/ME 27 F, 8 M: 16 placebo, 19 treatment (Lactobacillus casei strain Shirota)

Culture technique

56% (fair)

Sheedy et al.

2009

Observational case-control

CFS/ME

Holmes (1988) Fukuda (1994) Canadian Criteria (2003)

Australia

108

177

Culture technique

80% (good)

Shukla et al.

2015

Observational case-control

CFS/ME

Fukuda (1994)

Italy

8 F, 2 M

8 F, 2 M

16S rRNA amplification and pyrosequencing

80% (good)

  1. Dx diagnostic criteria, CFS/ME chronic fatigue syndrome/myalgic encephalomyelitis, F female, M male, MALDI-TOF MS matrix-assisted laser desorption ionisation time-of flight mass spectrometry, PCR polymerase chain reaction, RNA ribonucleic acid, USA United States of America, DNA deoxyribonucleic acid, QIIME Quantitative Insights Into Microbial Ecology bioinformatics program