The association of MTHFR A1298C polymorphism with cervical cancer: An Updated Meta-Analysis Involving 2835 Subjects

Abstract Background Published data have reported the relationships between MTHFR A1298C polymorphisms and cervical cancer susceptibility. However, the conclusions of these findings lack consistency.Methods A comprehensive literature search was performed using Web of Science, PubMed, EMBASE, Cochrane library, Wan Fang and CNKI databases. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the correlation of MTHFR A1298C polymorphism and cervical cancer risk. Fixed-effects or random effects models was adopted according to heterogeneity test.Results A total of nine studies (1145 cases and 1690 controls) were included in this meta-analysis. Pooled data revealed that MTHFR A1298C polymorphism was significantly associated with an increased risk of cervical cancer in the allele model (P=0.028); the recessive model (P=0.028); and the heterozygous model (P=0.031).Conclusions Our results revealed that MTHFR A1298C polymorphism was associated with risk of cervical cancer.

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Association of Three Micro-RNA Gene Polymorphisms with the Risk of Cervical Cancer: A Meta-Analysis and Systematic Review

10.21203/rs.3.rs-573894/v1 ◽

2021 ◽

Author(s):

Jingyu Xu ◽

Yihua Fan ◽

Qiang Zhang ◽

Junze Geng ◽

Tian Xia

Keyword(s):

Cervical Cancer ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Recessive Model ◽

Micro Rna ◽

Host Cells ◽

Cochrane Library ◽

Cancer Case ◽

Case Control Studies ◽

Reduced Risk

Abstract Objective: Regulation of single nucleotide polymorphisms (SNP) in micro-RNA ( miRNA) on the host cells may be one of the most important factors influencing the occurrence of cervical cancer based on the prevalence of HPV infection and the development of cervical cancer. In order to explore the contribution of miRNA polymorphism to the occurrence and development of cervical cancer, we conducted an analytical study. Methods: We selected the polymorphisms of three widely studied miRNAs (miRNA-146a rs2910164, miRNA-499 rs3746444 and miRNA-196a2 rs11614913). Then we conducted a meta-analysis (for the first time) to investigate their susceptibility to cervical cancer. Case control studies on the correlation between these three miRNAs and cervical cancer susceptibility were investigated by searching on from Pubmed, The Cochrane Library, Embase, CBM, CNKI, Wanfang database and VIP database. Basic characteristics were recorded and meta-analysis of the case studies was performed using STATA 15.1 software. Results: The miRNA-146a rs2910164 mutation significantly reduced the risk of cervical cancer in both recessive model (OR= 0.804, 95%CI= 0.652-0.992, P= 0.042；CC vs. CG+GG) and allelic model (OR= 0.845, 95%CI= 0.721-0.991, P= 0.038；C vs. G). There was no significant correlation between miRNA -499 rs3746444 and the risk of cervical cancer. The miRNA -196a2 rs11614913 mutation was significantly associated with a reduced risk of cervical cancer in homozygous model (OR= 0.641, 95%CI= 0.447-0.919, P= 0.016；TT vs. CC), dominant model (OR= 0.795, 95%CI= 0.636-0.994, P= 0.045；CT+TT vs. CC), recessive model (OR= 0.698, 95%CI= 0.532-0.917, P= 0.01；TT vs. CC+CT), and allelic models (OR= 0.783, 95%CI= 0.643-0.954, P= 0.015；T vs. C). Conclusion: In summary, this meta-analysis shows that the mutant genotypes of miRNA -146a rs2910164 and miRNA -196a2 rs11614913 are associated with a reduced risk of cervical cancer. Therefore, they may be two gene regulatory points for the prevention of cervical cancer.

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Association of Three micro-RNA Gene Polymorphisms with the Risk of Cervical Cancer: A Meta-Analysis and Systematic Review

10.21203/rs.3.rs-573894/v2 ◽

2021 ◽

Author(s):

Jingyu Xu ◽

Yihua Fan ◽

Qiang Zhang ◽

Junze Geng ◽

Tian Xia

Keyword(s):

Cervical Cancer ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Recessive Model ◽

Micro Rna ◽

Host Cells ◽

Cochrane Library ◽

Cancer Case ◽

Case Control Studies ◽

Reduced Risk

Abstract Objective: Regulation of single nucleotide polymorphisms (SNP) in micro-RNA (miRNA) on the host cells may be one of the most important factors influencing the occurrence of cervical cancer based on the prevalence of HPV infection and the development of cervical cancer. In order to explore the contribution of miRNA polymorphism to the occurrence and development of cervical cancer, we conducted an analytical study. Methods: We selected the polymorphisms of three widely studied miRNAs (miRNA-146a rs2910164, miRNA-499 rs3746444 and miRNA-196a2 rs11614913). Then we conducted a meta-analysis (for the first time) to investigate their susceptibility to cervical cancer. Case control studies on the correlation between these three miRNAs and cervical cancer susceptibility were investigated by searching on from Pubmed, The Cochrane Library, Embase, CBM, CNKI, Wanfang database and VIP database. Basic characteristics were recorded and meta-analysis of the case studies was performed using STATA 15.1 software. Results: The miRNA-146a rs2910164 mutation significantly reduced the risk of cervical cancer in both recessive model (OR= 0.804, 95%CI= 0.652-0.992, P= 0.042；CC vs. CG+GG) and allelic model (OR= 0.845, 95%CI= 0.721-0.991, P= 0.038；C vs. G). There was no significant correlation between miRNA -499 rs3746444 and the risk of cervical cancer. The miRNA -196a2 rs11614913 mutation was significantly associated with a reduced risk of cervical cancer in homozygous model (OR= 0.641, 95%CI= 0.447-0.919, P= 0.016；TT vs. CC), dominant model (OR= 0.795, 95%CI= 0.636-0.994, P= 0.045；CT+TT vs. CC), recessive model (OR= 0.698, 95%CI= 0.532-0.917, P= 0.01；TT vs. CC+CT), and allelic models (OR= 0.783, 95%CI= 0.643-0.954, P= 0.015；T vs. C). Conclusion: In summary, this meta-analysis shows that the mutant genotypes of miRNA -146a rs2910164 and miRNA -196a2 rs11614913 are associated with a reduced risk of cervical cancer. Therefore, they may be two gene regulatory points for the prevention of cervical cancer.PROSPERO Registration number: CRD42021270079.

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Association of three micro-RNA gene polymorphisms with the risk of cervical cancer: a meta-analysis and systematic review

World Journal of Surgical Oncology ◽

10.1186/s12957-021-02463-4 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Jingyu Xu ◽

Junze Geng ◽

Qiang Zhang ◽

Yihua Fan ◽

Zijun Qi ◽

...

Keyword(s):

Systematic Review ◽

Cervical Cancer ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Recessive Model ◽

Micro Rna ◽

Host Cells ◽

Cochrane Library ◽

Cancer Case ◽

Reduced Risk

Abstract Objective Regulation of single nucleotide polymorphisms (SNP) in micro-RNA (miRNA) on the host cells may be one of the most important factors influencing the occurrence of cervical cancer based on the prevalence of HPV infection and the development of cervical cancer. In order to explore the contribution of miRNA polymorphism to the occurrence and development of cervical cancer, we conducted an analytical study. Methods We selected the polymorphisms of three widely studied miRNAs (miRNA-146a rs2910164, miRNA-499 rs3746444, and miRNA-196a2 rs11614913). Then, we conducted a meta-analysis (for the first time) to investigate their susceptibility to cervical cancer. Case control studies on the correlation between these three miRNAs and cervical cancer susceptibility were investigated by searching on from Pubmed, The Cochrane Library, Embase, CBM, CNKI, Wanfang database, and VIP database. Basic characteristics were recorded and meta-analysis of the case studies was performed using the STATA 15.1 software. Results The miRNA-146a rs2910164 mutation significantly reduced the risk of cervical cancer in both recessive model (OR = 0.804, 95% CI = 0.652-0.992, P = 0.042; CC vs. CG+GG) and allelic model (OR = 0.845, 95% CI = 0.721-0.991, P = 0.038; C vs. G). There was no significant correlation between miRNA-499 rs3746444 and the risk of cervical cancer. The miRNA-196a2 rs11614913 mutation was significantly associated with a reduced risk of cervical cancer in homozygous model (OR = 0.641, 95% CI = 0.447-0.919, P = 0.016; TT vs. CC), dominant model (OR = 0.795, 95% CI = 0.636-0.994, P = 0.045; CT+TT vs. CC), recessive model (OR = 0.698, 95% CI = 0.532-0.917, P = 0.01; TT vs. CC+CT), and allelic models (OR = 0.783, 95% CI = 0.643-0.954, P = 0.015, T vs. C). Conclusion In summary, this meta-analysis shows that the mutant genotypes of miRNA-146a rs2910164 and miRNA-196a2 rs11614913 are associated with a reduced risk of cervical cancer. Therefore, they may be two gene regulatory points for the prevention of cervical cancer. Systematic review registration PROSPERO registration number CRD42021270079.

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ASSOCIATION OF MMP-7 -181A>G POLYMORPHISM WITH COLORECTAL CANCER AND GASTRIC CANCER SUSCEPTIBILITY: A SYSTEMATIC REVIEW AND META-ANALYSIS

ABCD Arquivos Brasileiros de Cirurgia Digestiva (São Paulo) ◽

10.1590/0102-672020190001e1449 ◽

2019 ◽

Vol 32 (3) ◽

Cited By ~ 1

Author(s):

Mohammad ZARE ◽

Jamal JAFARI-NEDOOSHAN ◽

Kazem AGHILI ◽

Hossein AHRAR ◽

Mohammad Hossein JARAHZADEH ◽

...

Keyword(s):

Colorectal Cancer ◽

Gastric Cancer ◽

Fixed Effects ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Recessive Model ◽

Fixed Effects Model ◽

Case Control Studies ◽

Increased Risk ◽

The Matrix

ABSTRACT Introduction: The matrix metalloproteinase-7 (MMP-7) gene -181A>G polymorphism has been reported to be associated with colorectal cancer (CRC) and gastric cancer (GC) susceptibility, yet the results of these previous results have been inconsistent or controversial. Aim: To elaborate a meta-analysis to assess the association of -181A>G polymorphism of MMP-7 with CRC and GC risk. Methods: Published literature evaluating the association from PubMed, Web of Science, Google Scholar and other databases were retrieved up to April 25, 2018. Pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using random- or fixed-effects model. Results: A total of 19 case-control studies, which included eleven studies on CRC (2,169 CRC cases and 2,346 controls) and eight studies on GC (1,545 GC cases and 2,366 controls) were identified. There was a significant association between MMP-7 -181A>G polymorphism and GC risk under the homozygote model (GG vs. AA: OR=1.672, 95% CI 1.161-2.409, p=0.006) and the recessive model (GG vs. GA+AA: OR=1.672, 95% CI 1.319-2.554, p=0.001), but not with CRC. By subgroup analysis based on ethnicity, an increased risk of CRC and GC was found only among Asians. Conclusions: This meta-analysis suggests that MMP-7 -181A>G polymorphisms is associated with GC risk, but not with CRC. However, our results clearly showed that the MMP-7 -181A>G polymorphism significantly increased the risk of CRC only in Asians.

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Association of dyslipidemia with the severity and mortality of coronavirus disease 2019 (COVID-19): a meta-analysis

Virology Journal ◽

10.1186/s12985-021-01604-1 ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Yanli Liu ◽

Yilong Pan ◽

Yuyao Yin ◽

Wenhao Chen ◽

Xiaodong Li

Keyword(s):

Fixed Effects ◽

Meta Analysis ◽

Cochrane Library ◽

Case Control Studies ◽

Risk Of Death ◽

Potential Association ◽

Increased Risk ◽

Language Restriction ◽

Newcastle Ottawa Scale

Abstract Background The numbers of confirmed cases of coronavirus disease 2019 (COVID-19) and COVID-19 related deaths are still increasing, so it is very important to determine the risk factors of COVID-19. Dyslipidemia is a common complication in patients with COVID-19, but the association of dyslipidemia with the severity and mortality of COVID-19 is still unclear. The aim of this study is to analyze the potential association of dyslipidemia with the severity and mortality of COVID-19. Methods We searched the PubMed, Embase, MEDLINE, and Cochrane Library databases for all relevant studies up to August 24, 2020. All the articles published were retrieved without language restriction. All analysis was performed using Stata 13.1 software and Mantel–Haenszel formula with fixed effects models was used to compare the differences between studies. The Newcastle Ottawa scale was used to assess the quality of the included studies. Results Twenty-eight studies involving 12,995 COVID-19 patients were included in the meta-analysis, which was consisted of 26 cohort studies and 2 case–control studies. Dyslipidemia was associated with the severity of COVID-19 (odds ratio [OR] = 1.27, 95% confidence interval [CI] 1.11–1.44, P = 0.038, I2 = 39.8%). Further, patients with dyslipidemia had a 2.13-fold increased risk of death compared to patients without dyslipidemia (95% CI 1.84–2.47, P = 0.001, I2 = 66.4%). Conclusions The results proved that dyslipidemia is associated with increased severity and mortality of COVID-19. Therefore, we should monitor blood lipids and administer active treatments in COVID-19 patients with dyslipidemia to reduce the severity and mortality.

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Poly(ADP-Ribose) Polymerase Inhibitors (PARPi) for Patients With Advanced Breast Cancer: a Meta-analysis of Randomized Controlled Trials

10.21203/rs.3.rs-48500/v1 ◽

2020 ◽

Author(s):

YongCheng Su ◽

XiaoGang Zheng

Keyword(s):

Breast Cancer ◽

Randomized Controlled Trials ◽

Fixed Effects ◽

Meta Analysis ◽

Parp Inhibitors ◽

Cochrane Library ◽

Controlled Trials ◽

Randomized Controlled ◽

Increased Risk ◽

Grade 3

Abstract BACKGROUND: Poly(ADP–ribose) polymerase (PARP) inhibitors are new class of drugs that are currently being studied in several malignancies. However, datas about the efficacy and safety of the PARP inhibitors are limited. Therefore, we conducted a meta-analysis of randomized controlled trials (RCT) in patients with breast cancer.METHODS: Pubmed/Medline, Embase, Cochrane Library, and abstracts presented at the annual meeting of the American Society of Clinical Oncology (ASCO) were searched for articles published from 2000 to June 2018.Summary incidences and the RR, HR with 95% confidence intervals, were calculated by using a random-effects or fixed-effects model.RESULTS: The summary HR indicated PARPi was not associated with OS (HR=0.83, 95%CI 0.66–1.06, Z=1.49, P=0.14), while it could significantly improve PFS ande time to deterioration (TTD) of global health status/quality of life(GHS/QoL) as compared with traditional standard therapy, the HR was 0.60(95%CI 0.50-0.72; Z=5.52, P＜0.00001) and 0.4 (95%CI 0.29–0.54,z=5.80 ,p=0.000),respectively.The RR of grade 3 or more anemia ,fatigue and headache was 3.02 (95% CI, 0.69–13.17;p = 0.14,,I2=90%),0.77 (95%CI, 0.34–1.73;p=0.52,I2=7%) and 1.13 (95% CI,0.30–4.18;p=0.86,I2=0%),respectively.CONCLUSION: The findings of this meta-analysis showed that PARPi has no significant effect on OS, while it could significantly improve in PFS and TTD of GHS/QoL for patients with advanced or metastatic breast cancer.Furthermore,our findings also demonstrated that the PARPi treatment is connected with an increased risk of grade 3 or more anemia adverse events.

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A meta-analysis of biologic therapies on risk of new or recurrent cancer in patients with rheumatoid arthritis and a prior malignancy

Rheumatology ◽

10.1093/rheumatology/kez475 ◽

2019 ◽

Vol 59 (5) ◽

pp. 930-939 ◽

Cited By ~ 5

Author(s):

Wenhui Xie ◽

Shiyu Xiao ◽

Yanrong Huang ◽

Xiaoying Sun ◽

Dai Gao ◽

...

Keyword(s):

Relative Risk ◽

Fixed Effects ◽

Meta Analysis ◽

Cochrane Library ◽

Optimal Time ◽

Biologic Therapies ◽

Recurrent Cancer ◽

Increased Risk ◽

Risk Of Cancer ◽

Prior Malignancy

Abstract Objectives To explore the risk of new and recurrent cancer in adult RA patients with prior malignancy and subsequently exposed to biologic therapies. Methods Separate searches were performed of PubMed, EMBASE and Cochrane Library and conference proceedings for observational studies reporting cancer incidence or recurrence in patients with RA and prior malignancy treated with biologics and conventional synthetic DMARDs (csDMARDs). Mantel-Haenszel fixed-effects method was conducted to calculate relative risk and 95% CI. Results A total of 12 studies involving 13 598 patients and 32 473 patient-years of follow-up were included (10, 3 and 1 studies for TNF inhibitors [TNFi], rituximab and anakinra, respectively). The crude incidence of new and recurrent cancer per 1000 patient-years were 34.4 for TNFi, 32.3 for rituximab, 32.3 for anakinra and 31.8 for csDMARDs. In the quantitative meta-analysis, biologics were not associated with an increased risk of new or recurrent cancer compared with csDMARDs in patients with RA and prior cancer (TNFi: relative risk = 0.95, 95% CI = 0.83, 1.09; rituximab: relative risk = 0.89, 95% CI = 0.52, 1.53). Secondary analyses of stratification of cancer types, the interval between initiation of TNFi and prior cancer diagnosis, and duration of TNFi exposure, found similar results. Conclusion Compared with csDMARDs, there is no increased risk of developing cancer overall or some specific subtypes in RA patients with a prior cancer receiving biologics. More investigations are warranted to explore the risk of cancer development in individual cancer as well as to determine optimal time to initiate biologic therapy after the diagnosis of cancer or completion of cancer treatment.

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Association between lncRNA GAS5, MEG3, and PCAT-1 Polymorphisms and Cancer Risk: A Meta-Analysis

Disease Markers ◽

10.1155/2020/6723487 ◽

2020 ◽

Vol 2020 ◽

pp. 1-13 ◽

Cited By ~ 3

Author(s):

Xiaoyan Dong ◽

Wenyan Gao ◽

Xiaoling LV ◽

Yazhen Wang ◽

Qing Wu ◽

...

Keyword(s):

Gastric Cancer ◽

Cancer Risk ◽

Publication Bias ◽

Fixed Effects ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Biomedical Literature ◽

Cochrane Library ◽

Gastric Cancer Risk ◽

Lncrna Gas5

Purpose. Long noncoding RNAs (lncRNAs) have been widely studied, and single nucleotide polymorphisms (SNPs) in lncRNAs are considered to be genetic factors that influence cancer susceptibility. The lncRNA GAS5, MEG3, and PCAT-1 polymorphisms are shown to be possibly associated with cancer risk. The aim of this meta-analysis was to systematically evaluate this association. Methods. Studies were selected from PubMed, Web of Science, Embase, Google Scholar, Cochrane Library, the Chinese National Knowledge Infrastructure (CNKI), and the Chinese Biomedical Literature Database (CBM) through inclusion and exclusion criteria. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using the random-effects model or fixed-effects model to assess the association between lncRNA polymorphisms and cancer susceptibility. Metaregression and publication bias analyses were also conducted. All analyses were performed using the Stata 12.0 software. Results. Sixteen articles (covering 13750 cases and 17194 controls) were included in this meta-analysis. A significant association between SNP rs145204276 and gastric cancer risk was observed (del vs. ins: OR=0.79, 95%CI=0.72‐0.86; del/del vs. ins/ins+del/ins: OR=0.74, 95%CI=0.59‐0.91; del/ins vs. ins/ins: OR=0.84, 95%CI=0.67‐1.05). For rs16901904, a decreased cancer risk was observed in three genetic models (C vs. T: OR=0.79, 95%CI=0.70‐0.90; CC vs. CT+TT: OR=0.49, 95%CI=0.37‐0.65; CC vs. TT: OR=0.49, 95%CI=0.37‐0.66). No statistical significance was found in the metaregression analysis. For all of the included SNPs, no publication bias was found in all genotype models. Conclusions. The rs145204276 SNP in lncRNA GAS5 is likely to be associated with gastric cancer risk, whereas the rs16901904 SNP in lncRNA PCAT-1 bears association with a decreased cancer risk.

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The Associations between VEGF Gene Polymorphisms and Diabetic Retinopathy Susceptibility: A Meta-Analysis of 11 Case-Control Studies

Journal of Diabetes Research ◽

10.1155/2014/805801 ◽

2014 ◽

Vol 2014 ◽

pp. 1-10 ◽

Cited By ~ 19

Author(s):

Liyuan Han ◽

Lina Zhang ◽

Wenhua Xing ◽

Renjie Zhuo ◽

XiaLu Lin ◽

...

Keyword(s):

Diabetic Retinopathy ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Recessive Model ◽

Cochrane Library ◽

Published Data ◽

Case Control Studies ◽

Asian Populations ◽

Effect Model

Aims. Published data on the associations of VEGF polymorphisms with diabetic retinopathy (DR) susceptibility are inconclusive. A systematic meta-analysis was undertaken to clarify this topic.Methods. Data were collected from the following electronic databases: PubMed, Embase, OVID, Web of Science, Elsevier Science Direct, Excerpta Medica Database (EMBASE), and Cochrane Library with the last report up to January 10, 2014. ORs and 95% CIs were calculated for VEGF–2578C/A (rs699947), –1154G/A (rs1570360), –460T/C (rs833061), −634G>C (rs2010963), and +936C/T (rs3025039) in at least two published studies. Meta-analysis was performed in a fixed/random effect model by using the software STATA 12.0.Results. A total of 11 studies fulfilling the inclusion criteria were included in this meta-analysis. A significant relationship between VEGF+936C/T (rs3025039) polymorphism and DR was found in a recessive model (OR = 3.19, 95% CI = 1.20–8.41, andP(z)=0.01) in Asian and overall populations, while a significant association was also found between –460T/C (rs833061) polymorphism and DR risk under a recessive model (OR = 2.12, 95% CI = 1.12–4.01, andP(z)=0.02).Conclusions. Our meta-analysis demonstrates that +936C/T (rs3025039) is likely to be associated with susceptibility to DR in Asian populations, and the recessive model of –460T/C (rs833061) is associated with elevated DR susceptibility.

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Obesity is associated with severe disease and mortality in patients with coronavirus disease 2019 (COVID-19): a meta-analysis

BMC Public Health ◽

10.1186/s12889-021-11546-6 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Zixin Cai ◽

Yan Yang ◽

Jingjing Zhang

Keyword(s):

Mechanical Ventilation ◽

Fixed Effects ◽

Web Of Science ◽

Meta Analysis ◽

Severe Disease ◽

Cochrane Library ◽

Risk Of Infection ◽

Icu Admission ◽

Increased Risk ◽

Nonobese Patients

Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has led to global research to predict those who are at greatest risk of developing severe disease and mortality. The aim of this meta-analysis was to determine the associations between obesity and the severity of and mortality due to COVID-19. Methods We searched the PubMed, EMBASE, Cochrane Library and Web of Science databases for studies evaluating the associations of obesity with COVID-19. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using random- or fixed-effects models. Meta-regression analyses were conducted to estimate regression coefficients. Results Forty-six studies involving 625,153 patients were included. Compared with nonobese patients, obese patients had a significantly increased risk of infection. (OR 2.73, 95% CI 1.53–4.87; I2 = 96.8%), hospitalization (OR 1.72, 95% CI 1.55–1.92; I2 = 47.4%), clinically severe disease (OR 3.81, 95% CI 1.97–7.35; I2 = 57.4%), mechanical ventilation (OR 1.66, 95% CI 1.42–1.94; I2 = 41.3%), intensive care unit (ICU) admission (OR 2.25, 95% CI 1.55–3.27; I2 = 71.5%), and mortality (OR 1.61, 95% CI 1.29–2.01; I2 = 83.1%). Conclusion Patients with obesity may have a greater risk of infection, hospitalization, clinically severe disease, mechanical ventilation, ICU admission, and mortality due to COVID-19. Therefore, it is important to increase awareness of these associations with obesity in COVID-19 patients.

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