Evidence map›Paper›PMID 32822430›Full record

SynthesisPloS one2020

Diagnostic and prognostic value of hematological and immunological markers in COVID-19 infection: A meta-analysis of 6320 patients.

Rami M Elshazli, Eman A Toraih, Abdelaziz Elgaml, Mohammed El-Mowafy, Mohamed El-Mesery, Mohamed N Amin, Mohammad H Hussein, Mary T Killackey, Manal S Fawzy, Emad Kandil

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

128 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  3. A Review of Prolonged Post-COVID-19 Symptoms and Their Implications on Dental Management.International journal of environmental research and public health · 2021
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68 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Rami M ElshazliDepartment of Biochemistry and Molecular Genetics, Faculty of Physical Therapy, Horus University - Egypt, New Damietta, Egypt.ORCID 0000-0002-3381-2641
Eman A ToraihDepartment of Surgery, Tulane University, School of Medicine, New Orleans, Louisiana, United States of America.ORCID 0000-0001-9267-3787
Abdelaziz ElgamlDepartment of Microbiology and Immunology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.ORCID 0000-0001-6790-5849
Mohammed El-MowafyDepartment of Microbiology and Immunology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.ORCID 0000-0002-4375-5724
Mohamed El-MeseryDepartment of Biochemistry, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.ORCID 0000-0003-2649-3002
Mohamed N AminDepartment of Biochemistry, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Mohammad H HusseinDepartment of Surgery, Tulane University, School of Medicine, New Orleans, Louisiana, United States of America.
Mary T KillackeyDepartment of Surgery, Tulane University, School of Medicine, New Orleans, Louisiana, United States of America.
Manal S FawzyDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.ORCID 0000-0003-1252-8403
Emad KandilDivision of Endocrine and Oncologic Surgery, Department of Surgery, Tulane University, School of Medicine, New Orleans, Los Angeles, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEvidence-based characterization of the diagnostic and prognostic value of the hematological and immunological markers related to the epidemic of Coronavirus Disease 2019 (COVID-19) is critical to understand the clinical course of the infection and to assess in development and validation of biomarkers.

methodsBased on systematic search in Web of Science, PubMed, Scopus, and Science Direct up to April 22, 2020, a total of 52 eligible articles with 6,320 laboratory-confirmed COVID-19 cohorts were included. Pairwise comparison between severe versus mild disease, Intensive Care Unit (ICU) versus general ward admission and expired versus survivors were performed for 36 laboratory parameters. The pooled standardized mean difference (SMD) and 95% confidence intervals (CI) were calculated using the DerSimonian Laird method/random effects model and converted to the Odds ratio (OR). The decision tree algorithm was employed to identify the key risk factor(s) attributed to severe COVID-19 disease.

resultsCohorts with elevated levels of white blood cells (WBCs) (OR = 1.75), neutrophil count (OR = 2.62), D-dimer (OR = 3.97), prolonged prothrombin time (PT) (OR = 1.82), fibrinogen (OR = 3.14), erythrocyte sedimentation rate (OR = 1.60), procalcitonin (OR = 4.76), IL-6 (OR = 2.10), and IL-10 (OR = 4.93) had higher odds of progression to severe phenotype. Decision tree model (sensitivity = 100%, specificity = 81%) showed the high performance of neutrophil count at a cut-off value of more than 3.74x109/L for identifying patients at high risk of severe COVID-19. Likewise, ICU admission was associated with higher levels of WBCs (OR = 5.21), neutrophils (OR = 6.25), D-dimer (OR = 4.19), and prolonged PT (OR = 2.18). Patients with high IL-6 (OR = 13.87), CRP (OR = 7.09), D-dimer (OR = 6.36), and neutrophils (OR = 6.25) had the highest likelihood of mortality.

conclusionsSeveral hematological and immunological markers, in particular neutrophilic count, could be helpful to be included within the routine panel for COVID-19 infection evaluation to ensure risk stratification and effective management.

Indexed as

BetacoronavirusAdolescentAdultAgedAged, 80 and overBiomarkersBlood SedimentationChildCoronavirus InfectionsCOVID-19C-Reactive ProteinFemaleFibrin Fibrinogen Degradation ProductsHumansInterleukin-10Interleukin-6BiomarkersC-Reactive ProteinFibrin Fibrinogen Degradation Productsfibrin fragment DIL10 protein, humanIL6 protein, humanInterleukin-10Interleukin-6Procalcitonin

Identifiers

PMID32822430
PMCPMC7446892

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.