key: cord-0683654-ewqz7i09
authors: Li, Jinjuan; Yue, Jia; Zhang, Shunan; Wu, Jianjun; Lian, Rongna; Zhang, Ruinian; Cheng, Peng
title: Relationship between digestive diseases and COVID-19 severity and mortality: A protocol for systematic review and meta-analysis
date: 2020-11-25
journal: Medicine (Baltimore)
DOI: 10.1097/md.0000000000023353
sha: d5d6d80705b9b4189da7303eaad176c64791f179
doc_id: 683654
cord_uid: ewqz7i09

BACKGROUND: Digestive diseases have been often reported in COVID-19 patients, but whether COVID-19 patients with existing digestive comorbidities are at an increased risk of serious disease and death remains unclear. This study aims to evaluate the association between digestive diseases and COVID-19 severity and mortality. METHODS: PubMed, Embase.com, the Cochrane Central Register of Controlled Trials, Web of Science, China National Knowledge Infrastructure, Wanfang, and SinoMed will be searched to identify relevant studies up to October 1, 2020. We will use the Newcastle-Ottawa quality assessment scale to assess the quality of included studies. We will use Stata to perform pairwise meta-analyses using the random-effects model with the inverse variance method to estimate the association between digestive diseases and the mortality and severity of COVID-19. Subgroup analyses and sensitivity analyses will be conducted to investigate the sources of heterogeneity. We will create a “Summary of findings" table presenting our primary and secondary outcomes using the GRADEpro Guideline Development Tool software. RESULTS: The results of this study will be published in a peer-reviewed journal. CONCLUSIONS: This study will comprehensively evaluate the association between digestive diseases and the severity and mortality of patients with COVID-19. The results of this study will provide high-quality evidence to support clinical practice and guidelines development.

Coronavirus disease 2019 (COVID- 19) , first appeared in December 2019, is an acute pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS- infection. [1] [2] [3] It spreads rapidly to several countries and has become an epidemic. [4] As of September 21, 2020, >30.6 million COVID-19 cases and 950,000 deaths have been reported globally. [5] Furthermore, from September 14 to 20, there were nearly 2 million new cases of COVID-19, the highest number of cases reported in a single week since the beginning of the epidemic. [5] In addition to respiratory symptoms, gastrointestinal comorbidities have been often reported in patients with COVID-19. [6] A previous meta-analysis suggested that the prevalence of chronic liver diseases was significantly associated with more severe COVID-19 infection (odds ratio [OR] = 1.48, 95% confidence interval [CI]: 1.17-1.87; P = .001) and overall mortality (OR = 1.78, 95% CI: 1.09-2.93, P = .02). [7] Another meta-analysis revealed that patients with severe COVID-19 disease had higher rates of liver injury (OR = 2.20, 95% CI: 1.60-3.02; P < .00001) compared nonsevere patients, and patients with gastrointestinal involvement had a higher prevalence of complication (OR = 2.51, 95% CI: 1.62-3.89; P < .0001). [8] However, previous metaanalyses evaluated the association between gastrointestinal diseases and COVID-19 severity and mortality based on limited sample sizes. Furthermore, some digestive comorbidities, such as constipation, cholelithiasis, and irritable bowel disease, that may affect the severity and mortality of COVID-19 patients have not been studied in previous meta-analyses. And almost all the data in the previous meta-analyses came from China, which may affect the dissemination of the evidence. Therefore, it is necessary to conduct a meta-analysis to comprehensively evaluate whether COVID-19 patients with digestive comorbidities are at an increased risk of serious disease and death.

This review protocol has been registered in the International Prospective Register of Systematic Reviews (PROSPERO, CRD42020215453). This systematic review will be performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. [9] We report this protocol following the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) checklist. [10] 

We will include cohort studies focused on COVID-19 patients that compared the prevalence of at least 1 specific digestive comorbidity among infected patients with severe and non-severe disease or between non-survivors and survivors. The COVID-19 definition of severe respiratory infection from the World Health Organization will be used: fever or suspected respiratory infection, plus 1 of the following: respiratory rate >30 breaths/ min, severe respiratory distress, or peripheral oxygen saturation (SpO 2 ) 93% on room air. [11, 12] The studies should be published in English or Chinese and the sample size should be >10 patients.

We will exclude the following studies: studies included both confirmed and suspected cases; studies only provided the overall prevalence of digestive diseases without a detailed digestive disease; the prevalence of digestive diseases is provided, but no comparison is made between populations (eg, severe versus nonsevere patients); animal studies, letters, comments, abstracts, editorials, and reviews.

The primary outcome is the association between each digestive disease and COVID-19 severity. The secondary outcome is the association between each digestive disease and COVID-19 mortality.

PubMed, Embase.com, the Cochrane Central Register of Controlled Trials (CENTRAL) and Web of Science will be searched to identify relevant studies up to October 1, 2020. We will also search Chinese databases: China National Knowledge Infrastructure (CNKI), Wanfang, and SinoMed. The keywords will be used include "coronavirus disease-19," "coronavirus disease 2019," "2019 novel coronavirus," "COVID-19," "severe acute respiratory syndrome coronavirus 2," "SARS-CoV-2," "2019-nCoV," "nCoV-2019," "novel coronavirus," "new coronavirus," "novel coronavirus pneumonia," "liver disease," "hepatic disease," "digestive disease," "gastrointestinal disease," "hepatitis," "cirrhosis," "gastritis," "cholelithiasis," "clinical characteristic," "clinical feature," "risk factor," "prognosis," "comorbidity." Reference lists of relevant systematic reviews and eligible studies will be also manually searched to identify additional eligible studies. The search strategy of Embase.com is presented in Table 1 .

Two review authors will independently screen titles and abstracts of all studies identified from the literature search. For records that cannot be determined by titles and abstracts, we will refer to their full-text reports. Then, 2 review authors will independently evaluate the full-text articles according to the inclusion criteria. If the 2 review authors are unable to reach a consensus, we will consult a third review author to reach a final decision. The procedure of study identification for inclusion and exclusion will be documented.

We will use a data collection form to extract study characteristics and outcome data, which we will test on a random of 5 studies in the review. One reviewer will abstract data from each included study and a second reviewer will check the data. We will extract the following study information.

General information: first author, country of the first author, journal name, year of publication, publication language. Study characteristics: study setting, recruitment time frame, source of participants, inclusion/exclusion criteria, length of follow-up. 

Two review authors will independently assess the risk of bias for each study using the Newcastle-Ottawa quality assessment scale (NOS). [7] Any disagreements will be resolved by discussion, or by involving a third assessor. We will consider studies with <5 stars as low quality, 5 to 7 stars as moderate quality, and >7 stars as high quality. The results of the risk of bias assessment will be displayed in a table.

2.7. Statistical analysis 2.7.1. Data synthesis. We will use Stata (13.0; Stata Corporation, College Station, TX) for pooling data and for statistical analysis. Pairwise meta-analyses will be conducted to calculate the OR and 95% CI to estimate the association between digestive diseases and the mortality and severity of COVID-19. We will use the random-effects model with the inverse variance method. The statistical level of significance will be set at P < .05.

We will carry out tests to explore the heterogeneity between studies using the x 2 test. The I 2 statistic will be used to quantify the statistical heterogeneity. We will consider I 2 values of <25%, 26%-50%, and >50% as low, moderate, and high degrees of heterogeneity, respectively. [13] 2.7.3. Subgroup analyses. We plan to perform subgroup analyses between different countries, sexes, or ages to explore the potential sources of heterogeneity.

We will perform sensitivity analyses by excluding studies published in Chinese or lower quality studies to assess the robustness of our conclusions.

The publication bias will be explored using the funnel plot and Egger test for outcomes with studies no <10.

We will create a "Summary of findings" table presenting our primary and secondary outcomes using the GRADEpro Guideline Development Tool (GDT) software. [14] We will use the five Grading of Recommendations Assessment, Development, and Evaluation (GRADE) considerations (risk of bias, inconsistency, imprecision, indirectness, and publication bias) to assess the quality of the body of evidence for each meta-analysis. [15] [16] [17] We will rate the quality of evidence as high, moderate, low, or very low, and will justify decisions to downgrade or upgrade the quality of the evidence using footnotes where necessary.

A total of 5862 records were identified through preliminary literature searches. We piloted the study selection process and initially included 10 studies for a pilot analysis. Two reviewers will perform the titles, abstracts, and full-texts screening, and we will present the screening process in a PRISMA flow plot.

The main characteristics and quality of the included studies are shown in Table 2 . All included studies were published in English and all were from China. The sample size of each study ranged from 102 to 339. The included studies were rated 5 to 8 stars according to the NOS scale.

We found no significant difference between non-survivors and survivors in the prevalence of chronic liver disease (5 studies, [18] [19] [20] [21] [22] 796 patients; OR = 1.99, 95% CI: 0.61-6.45, P = .253; I 2 = 0.0%). Some of the results are shown in Figure 1 .

Compared with patients without severe disease, those with severe disease were more likely to have chronic liver disease (5 studies, [23] [24] [25] [26] [27] 1097 patients; OR = 1.86, 95% CI: 0.73-4.76, P = .195; I 2 = 16.0%, Fig. 2 ).

Empirical evidence demonstrated that liver damage is an important risk factor for severe outcome and death in SARS and MERS. [28, 29] Previous studies indicated SARS-CoV-2 can enter the host cells by binding to the angiotensin-converting enzyme 2 (ACE2) receptor. [30] Thus, it is urgent to investigate whether existing liver diseases and other digestive comorbidities are associated with COVID-19 prognosis. What is more, having a reliable estimate of the association between digestive diseases and COVID-19 severity and mortality is also crucial to ensure whether special protective measures and treatment options should be provided for patients with digestive comorbidities during the COVID-19 pandemic. [31] We believe the results of our study will provide high-quality evidence to support clinical practice.

Conceptualization: Jinjuan Li, Shunan Zhang, Rongna Lian, Ruinian Zhang. 

Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study

Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series

Angiotensin converting enzyme 2: SARS-CoV-2 receptor and regulator of the renin-angiotensin system

WHO Director-General's opening remarks at the media briefing on COVID-19

World Health Organization. Coronavirus disease (COVID-2019) situation reports

Gastrointestinal manifestations of SARS-CoV-2 infection and virus load in fecal samples from the Hong Kong Cohort and systematic review and meta-analysis

Prevalence of chronic liver disease in patients with COVID-19 and their clinical outcomes: a systematic review and meta-analysis

Manifestations and prognosis of gastrointestinal and liver involvement in patients with COVID-19: a systematic review and meta-analysis

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation

Efficacy and safety of convalescent plasma for severe COVID-19 based on evidence in other severe respiratory viral infections: a systematic review and meta-analysis

Efficacy and safety of antiviral treatment for COVID-19 from evidence in studies of SARS-CoV-2 and other acute viral infections: a systematic review and meta-analysis

Measuring inconsistency in meta-analyses

GRADEpro Guideline Development Tool. McMaster University (developed by Evidence Prime

GRADE: an emerging consensus on rating quality of evidence and strength of recommendations

The quality of evidence in Chinese metaanalyses needs to be improved

The skills and experience of GRADE methodologists can be assessed with a simple tool

Clinical features and short-term outcomes of 102 patients with Corona Virus Disease 2019 in Wuhan

Clinical characteristics and outcomes of older patients with coronavirus disease 2019 (COVID-19) in Wuhan, China Li et al. Medicine (2020) 99:48 www.md-journal.com (2019): a single-centered, retrospective study

Clinical course and outcome of 107 patients infected with the novel coronavirus, SARS-CoV-2, discharged from two hospitals in Wuhan

Coronavirus disease 2019 in elderly patients: characteristics and prognostic factors based on 4-week follow-up

Clinical characteristics and outcomes of patients with severe covid-19 with diabetes

Risk factors associated with clinical outcomes in 323 COVID-19 hospitalized patients in Wuhan, China

Clinical features and treatment of COVID-19 patients in northeast Chongqing

Clinical characteristics of 138 hospitalized patients with 2019 Novel Coronavirus-infected pneumonia in Wuhan, China

Early antiviral treatment contributes to alleviate the severity and improve the prognosis of patients with novel coronavirus disease (COVID-19)

Clinical features and short-term outcomes of 221 patients with COVID-19 in Wuhan

Hematological and biochemical factors predicting SARS fatality in Taiwan

Epidemiological, demographic, and clinical characteristics of 47 cases of Middle East respiratory syndrome coronavirus disease from Saudi Arabia: a descriptive study

A pneumonia outbreak associated with a new coronavirus of probable bat origin

Prevalence, severity and mortality associated with COPD and smoking in patients with COVID-19: a rapid systematic review and meta-analysis