Evidence map›Paper›PMID 32681559›Full record

ArticleJournal of clinical laboratory analysis2020

Diagnostic value of peripheral hematologic markers for coronavirus disease 2019 (COVID-19): A multicenter, cross-sectional study.

Junnan Peng, Di Qi, Guodan Yuan, Xinyu Deng, Ying Mei, Longhua Feng, Daoxin Wang

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04515108 (Comparison of Hematological Parameters and Perinatal Outcomes in COVID-19 Pregnancies and Healthy Pregnancy Cohort), which is not on this map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 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.

NCT04515108 completednot on this map

Comparison of Hematological Parameters and Perinatal Outcomes in COVID-19 Pregnancies and Healthy Pregnancy Cohort

TypeobservationalSponsorAnkara City Hospital BilkentRan2020 to 2020Enrolled108ConditionsPregnancy, Infections in, Covid19ArmsClinical assessment
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  5. Observational
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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

7 authors.

Junnan PengDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Di QiDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Guodan YuanDepartment of Intensive Care Medicine, Chongqing Public Health Medical Center, Chongqing, China.
Xinyu DengDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ying MeiHealth Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Longhua FengDepartment of Respiratory and Infectious Medicine, Qianjiang Central Hospital of Chongqing, Chongqing, China.
Daoxin WangDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-8327-3650

Funding

Emergency Foundation for Novel Coronavirus Pneumonia of Chongqing Health Committee 2020NCPZX19Major Emergency Clinical Research Project for 2019-nCoV of ChongQing Medical University 6National Natural Science Foundation of China 81670071Natural Science Foundation of Chongqing cstc2020jscx-fyzx0230
6 · The paper itself

Abstract

backgroundTo determine the diagnostic value of hematologic markers for coronavirus disease 2019 (COVID-19) and explore their relationship with disease severity.

methodsSubjects included 190 COVID-19 patients, 190 healthy subjects, and 105 influenza pneumonia (IP) patients. COVID-19 patients were divided into the ARDS and non-ARDS groups. Routine blood examination, biochemistry indicator, days in hospital, body temperature, pneumonia severity index (PSI), CURB-65, and MuLBSTA were recorded. Correlations between variables were assessed using Spearman's correlation analysis. Receiver operating characteristic (ROC) curves were used to study the accuracy of the various diagnostic tests.

resultsCompared with healthy subjects, COVID-19 patients had lower white blood cell (WBC), lymphocyte, platelet, and hemoglobin levels; higher percentages of neutrophils and monocytes; lower percentages of lymphocytes and higher neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) values (P < .05). COVID-19 patients had higher WBC and neutrophil levels and lower percentages of lymphocytes compared to IP (P < .05). ROC curve analysis revealed that MLR had a high diagnostic value in differentiating COVID-19 patients from healthy subjects, but not from IP patients. NLR showed significant positive correlations with PSI, CURB-65, and MuLBSTA. Lymphocyte count was lower in the ARDS group and yielded a higher diagnostic value than the other variables.

conclusionsMonocyte-to-lymphocyte ratio showed an acceptable efficiency to separate COVID-19 patients from healthy subjects, but failed to rule out IP patients. NLR may be a reliable marker to evaluate the disease severity of COVID-19. Lymphocyte count may be useful to establish the early diagnosis of ARDS in the COVID-19 patients.

Indexed as

Clinical Laboratory TechniquesCoronavirus InfectionsLeukocyte CountPandemicsPneumonia, ViralAdultBetacoronavirusBiomarkersCOVID-19COVID-19 TestingCross-Sectional StudiesFemaleHumansLymphocytesMaleMiddle AgedBiomarkerscoronavirus disease 2019diagnostic valuelymphocytemonocyte-to-lymphocyte rationeutrophil-to-lymphocyte ratio

Identifiers

PMID32681559
PMCPMC7404368

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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.