Metformin in Patients With COVID-19: A Systematic Review and Meta-Analysis
Yin Li1 
Xue Yang
Zhi Zeng
Sheyu Li- 1“Double First-Class” Construction Office, West China Hospital, Sichuan University, Chengdu, China
- 2Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- 3Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
- 4Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
- 5Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
- 6Department of Guideline and Rapid Recommendation, Chinese Evidence-Based Medicine Center, Cochrane China Center and MAGIC China Center, West China Hospital, Sichuan University, Chengdu, China
Importance/Background: The coronavirus disease (COVID-19) pandemic is a critical public health issue. Evidence has shown that metformin favorably influences COVID-19 outcomes. This study aimed to assess the benefits and risks of metformin in COVID-19 patients.
Methods: We searched the PubMed, Embase, Cochrane Library, and Chinese Biomedical Literature Database from inception to February 18, 2021. Observational studies assessing the association between metformin use and the outcomes of COVID-19 patients were included. The primary outcome was mortality, and the secondary outcomes included intubation, deterioration, and hospitalization. Random-effects weighted models were used to pool the specific effect sizes. Subgroup analyses were conducted by stratifying the meta-analysis by region, diabetic status, the adoption of multivariate model, age, risk of bias, and timing for adding metformin.
Results: We identified 28 studies with 2,910,462 participants. Meta-analysis of 19 studies showed that metformin is associated with 34% lower COVID-19 mortality [odds ratio (OR), 0.66; 95% confidence interval (CI), 0.56–0.78; I2 = 67.9%] and 27% lower hospitalization rate (pooled OR, 0.73; 95% CI, 0.53–1.00; I2 = 16.8%). However, we did not identify any subgroup effects. The meta-analysis did not identify statistically significant association between metformin and intubation and deterioration of COVID-19 (OR, 0.94; 95% CI, 0.77–1.16; I2 = 0.0% for intubation and OR, 2.04; 95% CI, 0.65–6.34; I2 = 79.4% for deterioration of COVID-19), respectively.
Conclusions: Metformin use among COVID-19 patients was associated with a reduced risk of mortality and hospitalization. Our findings suggest a relative benefit for metformin use in nursing home and hospitalized COVID-19 patients. However, randomized controlled trials are warranted to confirm the association between metformin use and COVID-19 outcomes.
Study Registration: The study was registered on the PROSPERO on Feb 23, 2021 (CRD42021238722).
Introduction
The novel coronavirus disease (COVID-19), caused by the infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is changing the everyday life of human-being globally (1). The overall COVID-19 mortality has reached 5% worldwide, with 1/4 of patients hospitalized with COVID-19 requiring intensive care (2, 3). Novel approaches targeting COVID-19 is called in emergency (4, 5).
Type 2 diabetes is one of the most prevalent non-communicable diseases worldwide (6), affecting over 100 million adults in China (7, 8). Both elevated and fluctuated glucose levels are leading to the death and complication in people living with type 2 diabetes (9, 10). Type 2 diabetes shares common risk factors with COVID-19 fatality including age, sex, and obesity (11), and type 2 diabetes itself is one of the top risk factors for the prognosis of COVID-19 (12). Metformin is one of the most widely used anti-diabetic drugs in the past few decades (13–15). In addition to the effect of lowering blood glucose, metformin protects diabetic people from cardiovascular disease, microvascular complications of diabetes and neoplasm (16, 17).
Although a recent large cohort from England (18) and a meta-analyses (19, 20) suggested that metformin using was associated with lower mortality of COVID-19 patients, the potential benefits of metformin in patients with COVID-19 remain uncertain. The heterogeneous reporting may be attributed to different study design, health care system, study population and statistical approaches. We, therefore, conducted this systematic review and meta-analysis to explore the impact of metformin use on COVID-19 mortality and other patient-important outcomes across various populations and studies.
Methods
Study Registration
The study was registered on the PROSPERO on Feb 23, 2021 (CRD42021238722).
Search Strategy
Our study followed the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines (21). The literature search was performed in PubMed, Embase, Cochrane Library, and Chinese Biomedical Literature Database from inception to February 18, 2021. The medical subject headings and keywords searched consisted of “COVID-19,” “SARS-CoV-2,” “coronavirus,” and “metformin.” The detailed search strategy for PubMed is shown in Supplementary Table 1. The hand-search from the references and citations supplements the relevant literature. We searched the literature using a combination of titles/abstracts and medical subject headings. Studies were included if they: (1) were designed as cohort, cross-sectional, case-control studies; (2) compared the rates of death, risk of intubation, disease deterioration, hospitalization, acute respiratory distress syndrome (ARDS), acidosis, and heart failure in COVID-19 patients with and without using metformin, and (3) reported the effect size including odds ratios (ORs), relative risks (RRs), or hazard ratios (HRs) and their 95% confidence intervals (CIs). We excluded abstracts, case reports, letters, reviews, meta-analyses, registered clinical trials not yet completed, and studies that were not English publications. Two authors (YL and TS) independently screened the titles and abstracts identified from the aforementioned databases, and then, full-text articles were read to assess eligibility. Divergences were resolved with the help of a third evaluator (ZZ).
Data Extraction
Data were extracted according to a standardized form and included basic information (i.e., first author name, publication year, region, study design), data on participants (i.e., sample size, age, sex, diabetic status, follow-up duration), and data on outcomes [i.e., death, intubation, admission to intensive care unit (ICU), disease deterioration, length of stay, adverse events]. We contacted the corresponding authors to request any missing or unclear data and excluded the study if data was not supplied. Multivariable-adjusted ORs, RRs, or HRs and their 95% CIs were extracted from the models with full adjustment for potential confounders if more than one model was established.
Risk of Bias Assessment
The Newcastle-Ottawa Scale was used to assess the risk of bias in the included studies (22). The risks were estimated using the following three terms: patient selection (4 items), study comparability (1 item), and outcome assessment (3 items), and the results were divided into three grades according to the total score (good, 7–9; fair, 5–6; poor, 0–4).
Data Syntheses
By identifying a newly published large-scale study in England, we added an exploratory sensitivity analysis to test the robustness of the results. The following analyses were performed to estimate the association between metformin use and mortality among COVID-19 patients. Heterogeneity was estimated using I2 statistics. We used random-effects weighted models to pool the specific effect sizes and their 95% CIs if I2 was >50%, while the fixed-effects weighted models were used if I2 was ≤ 50%. RRs and HRs were regarded as approximates for ORs.
Exploratory subgroup analyses were conducted by stratifying the meta-analysis by region (Europe, Asia, or America), diabetic status (population with or without diabetes), the adoption of multivariate model (adopt or not), age (<60 years, ≥60 years, or not available), risk of bias (poor, fair, and good), and timing for metformin administration (before and after the diagnosis of COVID-19). We applied visual funnel plots, Egger's tests, and Begg's tests to assess for potential publication bias (23). In addition, we conducted a sensitivity analysis by excluding the study with the largest number of sample size and an influencing analysis by successively excluding one study at a time to evaluate whether the result was robust. All statistical analyses were conducted using Stata 15.0 Software (StataCorp., College Station, TX, USA), and two-tailed P-values < 0.05 were considered to be statistically significant.
Results
Study Selection and Characteristics
We identified 294 articles during the literature search and one by hand-search, and included 19 studies with 2,903,435 patients for the meta-analysis of the association between metformin use and risk of mortality (Supplementary Figure 1) (24–50). The characteristics of the included studies are presented in Table 1 and Supplementary Table 2. Of these 28 studies, two were pre-print studies. Seven of the 28 included studies were conducted in America; 14, Asia; and 7, Europe. According to the quality assessment criteria, 16 studies were of good quality; 11, fair quality; and 1 study, poor quality (Supplementary Table 3).
Table 1. Characteristics of included studies.
Metformin Use and COVID-19 Mortality
The meta-analysis suggested that the use of metformin is associated with 34% lowered overall mortality (95% CI, 0.56–0.78; I2 = 67.9%) for COVID-19 patients (Figure 1). In sensitivity analysis by leaving the largest study out, the effect size shows robustness (OR, 0.60; 95% CI, 0.47–0.75; I2 = 69.7%) (Supplementary Figure 5). The subgroup analyses did not identify any credible subgroup effects (Figure 2). In addition, the influencing analysis by successively excluding one study at a time did not change the findings (Supplementary Figure 6). We did not identify significant publication bias. The funnel plot showed an approximate symmetric distribution, and the P-values for Egger's test and Begg's test were 0.879 and 0.270, respectively (Supplementary Figure 7).
Figure 1. Forest plot of studies assessing association between metformin use and mortality among COVID-19 patients. CI, confidence interval; OR, odds ratio.
Figure 2. Subgroup analysis of association between metformin use and risk of mortality among COVID-19 patients. CI, confidence interval; OR, odds ratio.
Metformin Use and Other COVID-19 Outcomes
To examine the association between metformin use and other outcomes, we conducted a further meta-analyses of two (33, 52), five (35, 38, 39, 41, 48, 49), and four (29–31, 47) studies estimating the association between metformin use and risk of intubation, deterioration, and hospitalization. The pooled ORs of metformin use with intubation, deterioration, and hospitalization were 0.94 (95% CI, 0.77–1.16; I2 = 0.0%), 2.04 (95% CI, 0.65–6.34; I2 = 79.4%), and 0.73 (95% CI, 0.53–1.00; I2 = 16.8%), respectively (Supplementary Figures 2–4).
In addition, it was also reported that metformin use was associated with an 82% decreased risk of ARDS (OR, 0.18; 95% CI, 0.05–0.62) (40), a 2.73-fold increased risk of acidosis (HR, 2.73; 95% CI, 1.04–7.13), and 41% decreased risk of heart failure (HR, 0.59, 95%, 0.41–0.83) (34). However, Cheng et al. did not find a significant association between metformin consumption and the risk of incident ARDS with a larger sample size (HR, 0.85; 95% CI, 0.61–1.17) (34).
The associations between metformin use and acute kidney injury, acute heart injury, and incident disseminated intravascular coagulation were also examined in this same study; however, the results were still showed no statistical significance. Moreover, metformin use did not affect the risk of in-hospital complications (46). No positive associations between metformin use and the length of ICU and hospital stays were observed in populations in Iraq with COVID-19 (26). Choi et al. reported that metformin use was associated with progression-free survival with an HR of 6.196 (95% CI, 2.58–14.91) among the Korean COVID-19 population, based on a retrospective cohort study (35), while another Korean retrospective study did not find a significant association between metformin use and COVID-19 survival (37).
Discussion
Our systematic review and meta-analysis showed a strong association between metformin usage and reduced risk of death and hospitalization among COVID-19 patients with diabetes. This is the largest systematic review and meta-analysis on the protective effects of metformin in patients with COVID-19. Different sensitivity analyses confirmed the robustness of the results.
Metformin has been used in people with type 2 diabetes for more than half a century, proving its safety. Metformin is free of severe adverse events except for a low incidence of hyperlactacidemia in patients with advanced kidney diseases (52). Gastrointestinal adverse events are the most short-term concern for metformin affecting approximately 10% of its users (50, 53). Vitamin B12 deficiency is a potential long-term risk in metformin users, but its clinical relevance has not yet been proven (54, 55). People may choose once-daily long-acting metformin instead of metformin immediate release if they are hesitating in taking drug more than once per day (56). Reducing over 1/3 death with benefits for other health events found in the current study, the tradeoff of metformin for people with COVID-19 is clear.
Our study is in line with a recent meta-analysis including nine observational studies with 10,233 people (19), but included more people and provided information of additional outcomes. A letter to the editor also supported our findings, which reported a significant decrease in mortality with preadmission metformin use in patients with COVID-19 and diabetes (pooled OR = 0.62; 95% CI: 0.43–0.89) (20).
Mechanisms underlying the association between metformin and death and other adverse outcomes remain unclear. Recent studies demonstrated that SARS-CoV-2 uses the SARS-CoV receptor ACE2 for entry and the serine protease TMPRSS2 for S protein priming (57). The expression and stability of ACE2 is mediated by AMPK (58), which is considered as the key molecular target of metformin (59). The immunological response induced by SARS-CoV-2 infection mobilizes cytokines, mainly proinflammatory cytokines, and links to the prognosis of COVID-19 (60). Metformin reduces TNF-α to some extent in both human and animal studies (61, 62). TNF-α inhibitors are also reported to be associated with a decrease in mortality despite significant findings in a limited model (24). Thus, this pathway might partly explain the association between metformin use and mortality in COVID-19 patients.
There are some limitations that need to be noted when interpreting the results in the practice. First, the dose of metformin, strain of the virus, and the duration of metformin consumption may contribute to the heterogeneity but unavailable to be studied in this study-level analysis. Individual-level data may help explore the factors that contributes to the protective effects of metformin. Second, we did not identify any randomized trials in the systematic review and we are unable to conclude any causation of the results. The effect of metformin needs to be validated through randomized trials. Last, our study identified clear knowledge gap for outcomes of intubation and disease deterioration when current evidences are unable to support clinical interpretation. We call for further studies and analyses investigating metformin use and these two patient-important outcomes.
Conclusion
In conclusion, metformin use was associated with reduced mortality and hospitalization in COVID-19 patients. The findings of our study indicated a relative benefit of metformin use in both nursing home residents and hospitalized patients with COVID-19. However, randomized controlled trials are warranted to confirm the association between metformin use and outcomes in COVID-19 patients.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
Author Contributions
YL, ZZ, and SL: conception or design. YL, XY, PY, and TS: acquisition, analysis, or interpretation. YL, XY, PY, TS, ZZ, and SL: drafting the work or revision and final approval of the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This study was supported by Sichuan Science and Technology Department of Sichuan Provincial Science and Technology Support Project; Optimization Models and Policies Research On Evaluation Of Scientific Research For Clinical Specialties In Research-Oriented Hospitals In China - Taking Hospital H As an Example (2021JDR0283); and 1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University (grant numbers ZYGD18022 and 2020HXF011). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2021.704666/full#supplementary-material
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Keywords: metformin, COVID-19, mortality, hospitalization, intubation, deterioration
Citation: Li Y, Yang X, Yan P, Sun T, Zeng Z and Li S (2021) Metformin in Patients With COVID-19: A Systematic Review and Meta-Analysis. Front. Med. 8:704666. doi: 10.3389/fmed.2021.704666
Received: 03 May 2021; Accepted: 29 July 2021;
Published: 19 August 2021.
Edited by:
Jun Chen, Fudan University, ChinaReviewed by:
Xiaoli Shen, Qingdao University Medical College, ChinaHebah Al Khatib, Qatar University, Qatar
Copyright © 2021 Li, Yang, Yan, Sun, Zeng and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Zhi Zeng, zhizeng_scu@yeaah.net; Sheyu Li, lisheyu@gmail.com