| Literature DB >> 32457035 |
Vishnu Charan Suresh Kumar1, Samiran Mukherjee2, Prateek Suresh Harne2, Abinash Subedi2, Muthu Kuzhali Ganapathy3, Venkata Suresh Patthipati4, Bishnu Sapkota5,6.
Abstract
BACKGROUND: The COVID-19 epidemic has affected over 2.6 million people across 210 countries. Recent studies have shown that patients with COVID-19 experience relevant gastrointestinal (GI) symptoms. We aimed to perform a systematic review and meta-analysis on the GI symptoms of COVID-19.Entities:
Keywords: abdominal pain; diarrhoea; epidemiology; gastrointestinal pathology; infectious diarrhoea
Mesh:
Year: 2020 PMID: 32457035 PMCID: PMC7252994 DOI: 10.1136/bmjgast-2020-000417
Source DB: PubMed Journal: BMJ Open Gastroenterol ISSN: 2054-4774
Figure 1Study flow diagram. GI, gastrointestinal.
Study characteristics
| Study | Country | Study type | Total number of patients | Male | Female | Age range (years) | Median age (years) | Severe disease | Non-severe disease | Nausea and/or vomiting | Diarrhoea | Anorexia | Abdominal pain |
| Huang | China | PO | 41 | 30 | 11 | 41–50 | 49.0 | 13 | 28 | NA | 1 | NA | NA |
| Chen | China | CS | 9 | 0 | 9 | <30 | 29.9 | NA | NA | NA | 1 | NA | NA |
| Chan | China | CS | 6 | 3 | 3 | 41–50 | 50.0 | NA | NA | NA | 2 | NA | NA |
| Chen | China | RO | 99 | 67 | 32 | 51–60 | 55.5 | NA | NA | 1 | 2 | NA | NA |
| Young | Singapore | RO | 18 | 9 | 9 | 41–50 | 47.0 | NA | NA | NA | 3 | NA | NA |
| Xu | China | RO | 62 | 35 | 27 | 41–50 | 41.0 | NA | NA | NA | 3 | NA | NA |
| COVID-19, Australia: Epidemiology Report 2 | Australia | CS | 15 | 9 | 6 | 41–50 | 43.0 | NA | NA | 1 | 5 | NA | NA |
| Huang Y | China | RO | 34 | 14 | 20 | 51–60 | 56.2 | NA | NA | NA | 5 | NA | NA |
| Song | China | RO | 51 | 25 | 26 | 41–50 | 49.0 | NA | NA | 3 | 5 | 9 | NA |
| Wu | China | RO | 80 | 42 | 38 | 41–50 | 44.0 | NA | NA | NA | 7 | NA | NA |
| Yang | China | RO | 149 | 81 | 68 | 41–50 | 45.1 | NA | NA | 2 | 11 | NA | NA |
| Wang | China | RO | 138 | 75 | 63 | 51–60 | 56.0 | 36 | 102 | 19 | 14 | NA | 3 |
| Zhang | China | RO | 140 | 71 | 69 | 51–60 | 57.0 | 58 | 82 | 24 | 18 | 17 | 8 |
| Pan | China | RO | 204 | 107 | 97 | 51–60 | 52.9 | 27 | 66 | 4 | 35 | 81 | 2 |
| Xiao | China | RO | 73 | 41 | 32 | 41–50 | 43.0 | NA | NA | NA | 26 | NA | NA |
| Guan | China | RO | 1099 | 640 | 459 | 41–50 | 47.0 | 173 | 926 | 55 | 42 | NA | NA |
| Zhou | China | RO | 191 | 119 | 72 | 51–60 | 56.0 | 119 | 72 | 7 | 9 | NA | NA |
| Sum (n) | 2477 | 1406 | 1071 | Weighted average −> | 49.077 | 426 | 1276 | 116 | 194 | 107 | 13 |
CS, case series; NA, not applicable; PO, prospective observational study; RO, retrospective observational study.
Figure 2Forest plots comparing patients with severe versus non-severe disease based on symptoms. (A) Diarrhoea, (B) nausea and/or vomiting, (C) abdominal pain.
Quality assessment for studies
| Newcastle-Ottawa Quality Assessment Scale for cohort studies | ||||||||||
| Study | Type of study | Selection | Comparability | Outcome | ||||||
| Representativeness of the exposed cohort | Selection of the non-exposed cohort | Ascertainment of exposure/risk factor, that is, severe versus non-severe | Demonstration that outcome of interest was not present at start of study | Comparability of cohorts on the basis of the design or analysis | Assessment of outcome | Was follow-up long enough for outcomes to occur? | Adequacy of follow-up of cohorts | Total score (out of 8 stars) | ||
| Huang | Prospective cohort | * | * | * | 0 (No) | * | * | * | * | 7 stars |
| Zhang | Retrospective cohort study | * | * | * | 0 (No) | * | * | Follow-up period not mentioned | Unable to assess | 5 stars |
| Wang | Retrospective cohort study | * | * | * | * (Yes) | * | * | * | * | 8 stars |
| Pan | Descriptive cross-sectional study with a prospective cohort component | * | * | * | * (Yes) | * | * | * | * | 8 stars |
| Guan | Retrospective cohort study | * | * | * | * (Yes) | * | * | * | * | 8 stars |
*Indicates one star.
Figure 3Funnel plots showing publication bias. (A) Abdominal pain, (B) diarrhoea, (C) nausea and/or vomiting.
Figure 4Percentage of patients with gastrointestinal symptoms. AER, Australian epidemiological report.
Abdominal pain in patients with severe versus non-severe disease
| Study | Severe | Non-severe | Total | ||
| Abdominal pain | No pain | Abdominal pain | No pain | ||
| Zhang | 6 | 51 | 2 | 80 | 139 |
| Wang | 3 | 33 | 0 | 102 | 138 |
| Pan | 2 | 35 | 0 | 66 | 103 |
| Total, n | 11 | 119 | 2 | 248 | 380 |
Diarrhoea in patients with severe versus non-severe disease
| Study | Severe | Non-severe | Total | ||
| Diarrhoea | No diarrhoea | Diarrhoea | No diarrhoea | ||
| Huang | 0 | 13 | 1 | 24 | 38 |
| Zhang | 9 | 48 | 9 | 73 | 139 |
| Wang | 6 | 30 | 8 | 94 | 138 |
| Pan | 10 | 27 | 25 | 41 | 103 |
| Guan | 10 | 163 | 32 | 894 | 1099 |
| Total, n | 35 | 281 | 75 | 1126 | 1517 |
Nausea and/or vomiting in patients with severe versus non-severe disease
| Study | Severe | Non-severe | Total | ||
| Nausea | No nausea | Nausea | No nausea | ||
| Zhang | 5 | 52 | 19 | 63 | 139 |
| Wang | 4 | 32 | 10 | 92 | 138 |
| Pan | 2 | 35 | 2 | 64 | 103 |
| Guan | 12 | 161 | 43 | 883 | 1099 |
| Total, n | 23 | 280 | 74 | 1102 | 1479 |