Evidence map›Paper›PMID 32535156›Full record

SynthesisThe Journal of infection2020

Detection of SARS-CoV-2 RNA in fecal specimens of patients with confirmed COVID-19: A meta-analysis.

Martin Cs Wong, Junjie Huang, Christopher Lai, Rita Ng, Francis K L Chan, Paul K S Chan

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in The Journal of infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 pooled it
9.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 109 citations in OpenAlex.

  1. Gut distress and interventionFrontiers in public health · 2023
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  19. Case series of HIV SARS-CoV-2 co-infection in Chinese adults.Journal of clinical virology plus · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Martin Cs WongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Junjie HuangJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Christopher LaiDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, 1/F, Clinical Sciences Building, Prince of Wales Hospital, Shatin, N.T. Hong Kong SAR, China.
Rita NgDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, 1/F, Clinical Sciences Building, Prince of Wales Hospital, Shatin, N.T. Hong Kong SAR, China.
Francis K L ChanDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Centre for Gut Microbiota Research, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Paul K S ChanDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, 1/F, Clinical Sciences Building, Prince of Wales Hospital, Shatin, N.T. Hong Kong SAR, China; Centre for Gut Microbiota Research, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. Electronic address: paulkschan@cuhk.edu.hk.
Chinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecent studies showed that SARS-CoV-2 RNA may be found in fecal specimens of COVID-19 patients, but the sample size is limited. This systematic review and meta-analysis examined the detection rate of SARS-CoV-2 RNA in fecal specimens of these patients according to their clinical characteristics.

methodsMEDLINE, Embase, Scopus, and three Chinese biomedical databases were searched up to 25 March 2020 with no language restriction. We included original observational studies that reported the detection rate of SARS-CoV-2 RNA in fecal specimens of COVID-19 patients. Two separate reviewers conducted the review. Metaprop was adopted to conduct a meta-analysis of prevalence with variances stabilized by Freeman-Tukey Double Arcsine Transformation. A random-effects model was used. Heterogeneity across different studies was computed using Cochran's Q test and chi square statistics.

resultsFrom 17 studies, the pooled detection rate of fecal SARS-CoV-2 RNA was 43.7% (95% CI 32.6%-55.0%) and 33.7% (95% C.I. 33.7%, 95% C.I. 20.1%-48.8%) by patient and number of specimens as a unit count, respectively. Female individuals (59.6% vs. 53.5%), those who presented with gastrointestinal symptoms (77.1% vs. 57.7%), and patients with more severe disease (68.3% vs. 34.6%) tended to have a higher detection rate. DISCUSSION: A significant proportion of COVID-19 patients carry SARS-CoV-2 in their intestinal tract. Feces being a self-collected specimen bears a potential to improve case identification in community, especially for young children where proper respiratory sampling at home is difficult. Specific infection control strategies focusing on spread via fecal contamination and faulty toilet drainage are urgently needed.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19FecesGastrointestinal DiseasesHumansObservational Studies as TopicPandemicsPneumonia, ViralPrevalenceRNA, ViralSARS-CoV-2Specimen HandlingRNA, ViralCOVID-19detection ratefaecal specimenmeta-analysisSARS-CoV-2

Identifiers

PMID32535156
PMCPMC7289116
OpenAlexW3035209756

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.