https://socictopen.socict.org/files/original/d4fa7107d57d342847d4fbb9f95e1636.pdf 30c8183c59ba35bba49514b2b40cf51e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Association of Lymphocyte count, CRP, D-Dimer, and LDH with Severe Coronavirus Disease 2019 (COVID-19): A Meta-Analysis Creator An entity primarily responsible for making the resource Almigdad H. M. Ali, Sagad Omer Obeid Mohamed, Ibrahim H. E. Elkhidir, Mohamed Elata Hassan Elbathani, Abazr A. H. Ibrahim, Almutasim B. E. Elhassan, Mohammed Suliman Tawer Salman, Mazin A.M. Elhassan, Mahmoud Elnil, Abdelhamid Ibrahim Hassan Abuzied Description An account of the resource Background: The rapid progression of Coronavirus disease 2019 (COVID-19) and its increasing burden on health systems necessitate the identification of parameters of severe infection to help in monitoring, prognoses and development of treatment algorithms. Objectives: This review aims to investigate the association of lymphocyte count, CRP, LDH, and D-Dimer with the severity of COVID-19. Methods: This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The databases of MEDLINE/PubMed, WHO-Virtual Health Library (VHL), and ScienceDirect were used for the systematic search. Random effects model was used to estimate the pooled standardized mean differences (SMD) with the corresponding 95% confidence interval (CI), using OpenMeta Analyst software. Results: A total of 11 studies, with 2437 COVID-19 patients, which fulfilled the eligibility criteria were included in the meta-analysis. The analysis revealed that lymphocyte count was significantly lower in patients with the severe form of COVID-19 (SMD = - 1.025, P value Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, CRP, D-dimer, Meta-analysis, Lymphocyte count, LDH Identifier An unambiguous reference to the resource within a given context 10.18502/sjms.v15i5.7146 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine