Evidence map›Paper›PMID 32746929›Full record

SynthesisEuropean journal of medical research2020

Laboratory features of severe vs. non-severe COVID-19 patients in Asian populations: a systematic review and meta-analysis.

Sulmaz Ghahramani, Reza Tabrizi, Kamran B Lankarani, Seyyed Mohammad Amin Kashani, Shahla Rezaei, Nazanin Zeidi, Maryam Akbari, Seyed Taghi Heydari, Hamed Akbari, Peyman Nowrouzi-Sohrabi and 1 more

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European journal of medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05520918 (Clinical Demonstration of a Novel Parameter LIT/N That Predicts Survival in COVID-19 ICU Patients), which is not on this map. Cited by 169 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed, 11 pooled it
8.0field-weighted citation impact, top 2% of its field
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.

NCT05520918 nacompletednot on this mapstarted 2021, after this paper: background citation

Clinical Demonstration of a Novel Parameter LIT/N That Predicts Survival in COVID-19 ICU Patients

TypeinterventionalSponsorGazi UniversityRan2021 to 2021Enrolled63ConditionsCOVID-19 PneumoniaArmsthe LIT test
3 · Its place in the literature

Who cites it

169 citing papers in PubMed, 11 syntheses or guidelines pooled it, 378 citations in OpenAlex.

  1. Pooled it
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  4. Colchicine, COVID-19 and hematological parameters: A meta-analysis.Journal of clinical laboratory analysis · 2021
    Pooled it
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  8. COVID-19 in People Living with HIV: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2021
    Pooled it
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  12. Trial
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  19. SpOBiomedicines · 2025
    Article
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109 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

11 authors at 3 institutions in 2 countries.

Sulmaz GhahramaniHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Reza TabriziHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Kamran B LankaraniHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Seyyed Mohammad Amin KashaniStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Shahla RezaeiStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Nazanin ZeidiStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Maryam AkbariHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Seyed Taghi HeydariHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Hamed AkbariDepartment of Biochemistry, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran.
Peyman Nowrouzi-SohrabiStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran. peyman.nowroozi2@gmail.com.ORCID http://orcid.org/0000-0002-9720-2025
Fariba AhmadizarDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Shiraz University of Medical Sciences · IRErasmus MC · NLKerman University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore severe cases of COVID- 19 are more likely to be hospitalized and around one-fifth, needing ICU admission. Understanding the common laboratory features of COVID-19 in more severe cases versus non-severe patients could be quite useful for clinicians and might help to predict the model of disease progression. This systematic review and meta-analysis aimed to compare the laboratory test findings in severe vs. non-severe confirmed infected cases of COVID-19.

methodsElectronic databases were systematically searched in PubMed, EMBASE, Scopus, Web of Science, and Google Scholar from the beginning of 2019 to 3rd of March 2020. Heterogeneity across included studies was determined using Cochrane's Q test and the I

findingsOut of a total of 3009 citations, 17 articles (22 studies, 21 from China and one study from Singapore) with 3396 ranging from 12 to1099 patients were included. Our meta-analyses showed a significant decrease in lymphocyte, monocyte, and eosinophil, hemoglobin, platelet, albumin, serum sodium, lymphocyte to C-reactive protein ratio (LCR), leukocyte to C-reactive protein ratio (LeCR), leukocyte to IL-6 ratio (LeIR), and an increase in the neutrophil, alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin, blood urea nitrogen (BUN), creatinine (Cr), erythrocyte Sedimentation Rate (ESR), C-reactive protein (CRP), Procalcitonin (PCT), lactate dehydrogenase (LDH), fibrinogen, prothrombin time (PT), D-dimer, glucose level, and neutrophil to lymphocyte ratio (NLR) in the severe group compared with the non-severe group. No significant changes in white blood cells (WBC), Creatine Kinase (CK), troponin I, myoglobin, IL-6 and K between the two groups were observed.

interpretationThis meta-analysis provides evidence for the differentiation of severe cases of COVID-19 based on laboratory test results at the time of ICU admission. Future well-methodologically designed studies from other populations are strongly recommended.

Indexed as

AsiaAsian PeopleBetacoronavirusBlood CoagulationBlood GlucoseBlood SedimentationChinaClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19C-Reactive ProteinDisease ProgressionFibrin Fibrinogen Degradation ProductsHospitalizationHumansInflammationBlood GlucoseC-Reactive ProteinFibrin Fibrinogen Degradation Productsfibrin fragment DIL6 protein, humanInterleukin-6L-Lactate DehydrogenaseTroponin ICOVID-19Laboratory featuresMeta-analysis

Identifiers

PMID32746929
PMCPMC7396942
OpenAlexW3046656138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.