The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
The role of biomarkers in diagnosis of COVID-19 – A systematic review
Open accessAbstract
Aims As of the 28th April 2020, the COVID-19 pandemic has infiltrated over 200 countries and affected over three million confirmed people. We review different biomarkers to evaluate if they are able to predict clinical outcomes and correlate with the severity of COVID-19 disease. Methods A systematic review of the literature was carried out to identify relevant articles using six different databases. Keywords to refine the search included ‘COVID-19’, ‘SARS-CoV2’, ‘Biomarkers’, among others. Only studies which reported data on pre-defined outcomes were included. Key findings Thirty-four relevant articles were identified which reviewed the following biomarkers: C-reactive protein, serum amyloid A, interleukin-6, lactate dehydrogenase, neutrophil-to-lymphocyte ratio, D-dimer, cardiac troponin, renal biomarkers, lymphocytes and platelet count. Of these, all but two, showed significantly higher levels in patients with severe complications of COVID-19 infection compared to their non-severe counterparts. Lymphocytes and platelet count showed significantly lower levels in severe patients compared to non-severe patients. Significance Although research is still in its early stages, the discovery of how different biomarkers behave during the course of the disease could help clinicians in identifying severe disease earlier and subsequently improve prognosis. Nevertheless, we urge for more research across the globe to corroborate these findings.
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
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Clinical characteristics of coronavirus disease 2019 in China
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La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
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D‐dimer levels on admission to predict in‐hospital mortality in patients with Covid‐19
Zhang, L., Yan, X., Fan, Q., Liu, H., Liu, X., Liu, Z., & Zhang, Z. (2020) · Journal of Thrombosis and Haemostasis · doi:10.1111/jth.14859 · Cited by 1,347
A Systematic Review of the Clinical Utility of Cycle Threshold Values in the Context of COVID-19
Rao, S. N., Manissero, D., Steele, V. R., & Pareja, J. (2020) · Infectious Diseases and Therapy · doi:10.1007/s40121-020-00324-3 · Cited by 398
Soltan, A. A. S., Kouchaki, S., Zhu, T., Kiyasseh, D., Taylor, T., Hussain, Z. B., Peto, T., Brent, A. J., Eyre, D. W., & Clifton, D. A. (2021) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30274-0 · Cited by 150
Matsumoto, T., Walston, S. L., Walston, M., Kabata, D., Miki, Y., Shiba, M., & Ueda, D. (2022) · Journal of Digital Imaging · doi:10.1007/s10278-022-00691-y · Cited by 15
Metadata
- Authors
- Kermali, M., Khalsa, R. K., Pillai, K., Ismail, Z., & Harky, A.
- Venue
- Life Sciences
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 254
- Pages
- 117788
- ISSN
- 0024-3205 (ISSN-L)
- OpenAlex
- W3025069580
- Cited by
- 687
- References
- 54
- FWCI
- 8.47
- Type
- journal article
- Language
- en
- Open access
- green
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