Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109624
DC Field | Value | Language |
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dc.contributor | Department of Applied Biology and Chemical Technology | - |
dc.creator | Li, AB | - |
dc.creator | Yang, B | - |
dc.creator | Li, Y | - |
dc.creator | Huynh, R | - |
dc.creator | Shim, S | - |
dc.creator | Lo, K | - |
dc.creator | Li, J | - |
dc.creator | Zullo, A | - |
dc.creator | Wu, WC | - |
dc.creator | Liu, S | - |
dc.date.accessioned | 2024-11-08T06:10:35Z | - |
dc.date.available | 2024-11-08T06:10:35Z | - |
dc.identifier.issn | 1753-0393 | - |
dc.identifier.uri | http://hdl.handle.net/10397/109624 | - |
dc.language.iso | en | en_US |
dc.publisher | Wiley-Blackwell Publishing, Inc. | en_US |
dc.rights | © 2023 The Authors. Journal of Diabetes published by Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd. | en_US |
dc.rights | This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | en_US |
dc.rights | The following publication Li AB, Yang B, Li Y, et al. A network meta-analysis of association between cardiometabolic risk factors and COVID-19 outcome severity. Journal of Diabetes. 2023; 15(11): 968-977 is available at https://doi.org/10.1111/1753-0407.13445. | en_US |
dc.subject | Cardiometabolic risk factors | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Network meta-analysis | en_US |
dc.title | A network meta-analysis of association between cardiometabolic risk factors and COVID-19 outcome severity | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.description.otherinformation | Title in Traditional Chinese: 心血管代謝危險因素與COVID-19嚴重程度關聯的網絡薈萃分析 | en_US |
dc.identifier.spage | 968 | - |
dc.identifier.epage | 977 | - |
dc.identifier.volume | 15 | - |
dc.identifier.issue | 11 | - |
dc.identifier.doi | 10.1111/1753-0407.13445 | - |
dcterms.abstract | Background: Cardiometabolic comorbidities have been associated with a higher risk of COVID-19 severity and mortality, but more investigations are needed to determine which comorbidity is more detrimental. | - |
dcterms.abstract | Methods: Embase, Emcare, and MEDLINE were searched systematically for prospective and retrospective studies assessing the associations of cardiometabolic risk factors and COVID-19 outcomes of hospitalization, severity, and mortality among COVID-19-diagnosed patients. Literature search was performed from first publication to May 19, 2021. Study quality was assessed by the Newcastle-Ottawa Scale. | - |
dcterms.abstract | Results: From the literature search, 301 studies suggested that all included cardiometabolic risk factors were associated with a higher risk of COVID-19 hospitalization, severity, and mortality, except that overweight was associated with a decreased risk of mortality (relative risk [RR] 0.88; 95% CI, 0.80–0.98). Patients with diabetes (RR 1.46; 95% CI, 1.45–1.47) were most likely to be hospitalized; patients with heart failure had the highest risk for severe COVID-19 outcomes (RR 1.89; 95% CI, 1.71–2.09); while patients with stroke were most susceptible to overall mortality (RR 1.99; 95% CI, 1.90–2.08). In the network meta-analysis, cerebrovascular disease had the highest impact (RR 1.69; 95% CI, 1.65–1.73) on COVID-19 outcomes compared to other cardiometabolic risk factors. For different combinations of risk factors, cardiovascular disease and diabetes combined (RR 6.98; 95% CI, 5.28–9.22) was more detrimental than others. | - |
dcterms.abstract | Conclusions: Considering the high prevalence of cardiometabolic comorbidities and risk of all severe outcomes, patients with cardiometabolic comorbidities should be prioritized in vaccination and treatment development of COVID-19. | - |
dcterms.accessRights | open access | en_US |
dcterms.alternative | 心血管代谢危险因素与COVID-19严重程度关联的网络荟萃分析 | - |
dcterms.bibliographicCitation | Journal of diabetes, Nov. 2023, v. 15, no. 11, p. 968-977 | - |
dcterms.isPartOf | Journal of diabetes | - |
dcterms.issued | 2023-11 | - |
dc.identifier.scopus | 2-s2.0-85169159242 | - |
dc.identifier.eissn | 1753-0407 | - |
dc.description.validate | 202411 bcch | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; Projects of RISA CD69; Strategic Hiring Scheme; National Institutes of Health (NIH) | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Li_Network_Meta‐analysis_Association.pdf | 1.81 MB | Adobe PDF | View/Open |
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