Proportion of hematological cancer patients with SARS-CoV-2 infection during the COVID-19 pandemic: A systematic review and meta-analysis

Introduction The coronavirus disease-2019 (COVID-19) has emerged as a novel infection which has spread rapidly across the globe and currently presents a grave threat to the health of the cancer patient. Objective The aim of this meta-analysis was to evaluate the proportion of hematological cancer patients with the SARS-CoV-2 infection during the COVID-19 pandemic. Method A comprehensive literature review was performed on PubMed, Web of Science, Scopus, EKB SciELO, SID, CNKI and Wanfang databases to retrieve all relevant publications up to January 31, 2021. Observational studies, consecutive case-series and case-control studies were included. The proportion for hematological cancer patients with COVID-19 was estimated using the odds ratios (ORs) and 95% confidence interval (95% CIs). Results Fourteen studies with a total of 3,770 infected cancer patients and 685 hematological cancer cases with COVID-19 were selected. Combined data revealed that the overall proportion of hematological cancer patients with COVID-19 was 16.5% (95% CI 0.130 - 0.208, p ≤ 0.001). The stratified analysis by ethnicity showed that the proportion was 18.8% and 12.4% in Caucasian and Asian hematological cancer patients with COVID-19, respectively. Moreover, subgroup analysis by country of origin showed that its proportion was the highest in the United Kingdom (22.5%), followed by France (17.1%) and China (8.2%). Conclusion This meta-analysis result indicated that the proportion of hematological cancer patients with SARS-CoV-2 infection during the COVID-19 pandemic was 16.5%. Further larger sample sizes and multicenter studies among different ethnic groups are necessary to get a better assessment of the proportion.

Association of Interleukin-10 Polymorphisms with Susceptibility to Colorectal Cancer and Gastric Cancer: an Updated Meta-analysis Based on 106 Studies.

BACKGROUND: The purpose of this study was to explore the association of IL-10 polymorphisms with susceptibility to colorectal cancer (CRC) and gastric cancer (GC). METHODS: PubMed, Scopus, Embase, SciELO, medRxiv, China Biology Medicine Disc, DeepDyve, CNKI, and Web of Science were used to identify all relevant articles published up to 20th June 2021, without any restrictions on ethnicity. Summary odds ratios (ORs) with 95% confidence intervals (CIs) were used to determine the strength of the associations. RESULTS: A total of 106 case-control studies were included. For CRC, 15 studies with 2772 cases and 3719 controls on -1082A/G, 11 studies with 3259 cases and 4992 controls on -592C/A, and 3 studies with 477 cases and 544 controls on -819 T/C were selected. For GC, 31 studies with 6229 cases and 8666 controls on -1082A/G, 27 studies with 5457 cases and 8381 controls on -592C/A, and 19 studies with 3556 cases and 6218 controls on -819 T/C were included. Pooled data showed a significant association between IL-10-819 T/C polymorphism and CRC susceptibility in overall population, but not for IL-10-1082A/G and -592C/A polymorphisms. However, IL-10-592C/A polymorphism was associated with CRC risk in Asians. A significant association of IL-10-1082A/G polymorphism with the GC risk was found. In the ethnicity subgroup analysis, a significant association was found between IL-10-1082A/G polymorphism and GC risk among Asians. The IL-10-819 T/C was not associated with GC risk in overall population and by ethnicity. CONCLUSIONS: Our pooled data show a significant association of IL-10-819 T/C and IL-10-1082A/G polymorphisms with CRC and GC in overall population, respectively. However, other factors may influence these associations, and large-scale studies with adequate methodological quality are necessary to confirm the impact on CRC and GC risk.

Proportion of hematological cancer patients with SARS-CoV-2 infection during the COVID-19 pandemic: A systematic review and meta-analysis.

Introduction: The coronavirus disease-2019 (COVID-19) has emerged as a novel infection which has spread rapidly across the globe and currently presents a grave threat to the health of the cancer patient. Objective: The aim of this meta-analysis was to evaluate the proportion of hematological cancer patients with the SARS-CoV-2 infection during the COVID-19 pandemic. Method: A comprehensive literature review was performed on PubMed, Web of Science, Scopus, EKB SciELO, SID, CNKI and Wanfang databases to retrieve all relevant publications up to January 31, 2021. Observational studies, consecutive case-series and case-control studies were included. The proportion for hematological cancer patients with COVID-19 was estimated using the odds ratios (ORs) and 95% confidence interval (95% CIs). Results: Fourteen studies with a total of 3,770 infected cancer patients and 685 hematological cancer cases with COVID-19 were selected. Combined data revealed that the overall proportion of hematological cancer patients with COVID-19 was 16.5% (95% CI 0.130 - 0.208, p ≤ 0.001). The stratified analysis by ethnicity showed that the proportion was 18.8% and 12.4% in Caucasian and Asian hematological cancer patients with COVID-19, respectively. Moreover, subgroup analysis by country of origin showed that its proportion was the highest in the United Kingdom (22.5%), followed by France (17.1%) and China (8.2%). Conclusion: This meta-analysis result indicated that the proportion of hematological cancer patients with SARS-CoV-2 infection during the COVID-19 pandemic was 16.5%. Further larger sample sizes and multicenter studies among different ethnic groups are necessary to get a better assessment of the proportion.

A meta-analysis for association of TNF-α -308G>A polymorphism with susceptibility to Ankylosing Spondylitis.

OBJECTIVE: We performed a meta-analysis of all eligible studies on the association of TNF-α -308G>A polymorphism with risk of Ankylosing spondylitis (AS). METHODS: A comprehensive literature research was performed in online databases. RESULTS: A total of 28 studies with 4489 cases and 5919 controls were included. Pooled ORs showed a significant association between TNF-α -308G>A polymorphism and risk of AS. Moreover, stratified analysis by ethnicity showed a significant association between TNF-α -308G>A polymorphism and AS risk in Asians, Caucasians and Mixed populations, but not in Chinese population. CONCLUSION: This meta-analysis suggested that the TNF-α -308G>A polymorphism was associated with AS risk.

Association of SERPINE1 rs1799889 polymorphism with arterial ischemic stroke in children: a systematic review and meta-analysis.

Inherited thrombophilias are well-established predisposing factors for venous thromboembolism, but their role in arterial ischemic stroke (AIS) in children, remains unclear. The association between SERPINE1 rs1799889 polymorphism and AIS in children was evaluated by several studies, whereas the results were conflicting. Thus, we performed this meta-analysis to combine and analyze the available studies in order to provide a more accurate result on the association. PubMed, Scopus, EMBASE, SciELO, MedRxiv, China Biology Medicine Disk, DeepDyve, CNKI, and Web of Science were used to identify all relevant articles published up to 30 November 2020, without any restrictions on ethnicity. Summary odds ratios (ORs) with 95% confidence intervals (CIs) were used to determine the strength of the associations. A total of eight case-control studies with 600 cases and 2,156 controls were selected. No significant association between SERPINE1 rs1799889 polymorphism and AIS in children susceptibility was noted. In the stratified analyses by ethnicity, source of controls, genotyping methods, and age groups, there was still no significant association between SERPINE1 rs1799889 polymorphism and AIS risk in children. This study suggested that SERPINE1 rs1799889 polymorphism might be not related to etiology of AIS in children. Moreover, well-designed, large-scale and multicenter clinical studies are required to improve and validate these results.Supplemental data for this article is available online at https://doi.org/10.1080/15257770.2021.1966798 .

Proportion and mortality of Iranian diabetes mellitus, chronic kidney disease, hypertension and cardiovascular disease patients with COVID-19: a meta-analysis.

BACKGROUND: Currently, the number of patients with SARS-COV-2 infection has increased rapidly in Iran, but the risk and mortality of SARS-COV-2 infection in Iranian patients with diabetes mellitus (DM), chronic kidney disease (CKD), hypertension and cardiovascular diseases (CVDs) still not clear. The aim of this meta-analysis was to estimate the proportion and mortality of SARS-COV-2 in these patients. METHODS: A comprehensive literature search was carried out in PubMed, Web of Sciences, Cochrane Library, EMBASE, CNKI, SciELO, and other databases to identify all relevant studies published up to 10 January, 2020. The proportion and mortality in the patients were assessed by odd ratio (OR) and the corresponding 95 % confidence interval (95 % CI). RESULTS: A total of ten case-series including 11,755 cases with SARS-COV-2 infection and 942 deaths were selected. Among them, there were total of 791 DM patients with 186 deaths, 225 CKD patients with 45 deaths, 790 hypertension cases with 86 deaths, and 471 CVDs cases with 60 deaths. Pooled data revealed that the proportion of SARS-COV-2 infection in the patients with hypertension, DM, CVDs and CKD were 21.1 %, 16.3 %, 14.0 % and 5.0 %, respectively. Moreover, the SARS-COV-2 infection were associated with an increased risk of mortality in DM (OR = 0.549, CI 95 % 0.448-0.671, p ≤ 0.001) and CKD (OR = 0.552, 95 % CI 0.367-0.829, p = 0.004) patients, but not hypertension and CVDs. There was no publication bias. CONCLUSIONS: Our pooled data showed that the proportion of SARS-COV-2 infection was the highest in the Iranian patients with hypertension (21.1 %) followed by DM (16.3 %), CVDs (14.0 %) and CKD (5.0 %). Moreover, DM and CKD in patients with SARS-COV-2 infection were associated with a 0.549 and 0.552-fold increase in mortality, respectively. Clinicians in Iran should be aware of these findings, to identifying patients at higher risk and inform interventions to reduce the risk of death. Moreover, well-designed, large-scale and multicenter studies are needed to improve and validate our findings.