Evidence map›Paper›PMID 32749709›Full record

ArticleJournal of medical virology2021

Distinguishing between COVID-19 and influenza during the early stages by measurement of peripheral blood parameters.

Jiangnan Chen, Yong Pan, Gangfeng Li, Wenfang Xu, Lihong Zhang, Shijin Yuan, Yan Xia, Pei Lu, Jun Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 15% 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.

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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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  17. Usefulness of laboratory parameters and chest CT in the early diagnosis of COVID-19.Revista do Instituto de Medicina Tropical de Sao Paulo · 2022
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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

9 authors at 4 institutions in 1 country.

Jiangnan ChenDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-1041-9927
Yong PanDepartment of Clinical Laboratory, Wenzhou Central Hospital, Wenzhou, China.
Gangfeng LiDepartment of Clinical Laboratory, Shaoxing People's Hospital, Shaoxing, China.
Wenfang XuDepartment of Clinical Laboratory, Affiliated Hospital of Shaoxing University, Shaoxing, China.
Lihong ZhangDepartment of Clinical Laboratory, Shaoxing People's Hospital, Shaoxing, China.
Shijin YuanDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yan XiaDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Pei LuDepartment of Clinical Laboratory, Affiliated Hospital of Shaoxing University, Shaoxing, China.
Jun ZhangDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shaoxing University · CNSir Run Run Shaw Hospital · CNShaoxing No.6 People's Hospital · CNWenzhou Central Hospital · CN

Funding

the Science Technology Bureau of Shaoxing 2018C30017
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 infection. This study aims to examine the changes in peripheral blood parameters during the early stages of COVID-19 and influenza. We analyzed the peripheral blood parameters of 169 COVID-19 patients and 131 influenza patients during the early-onset stage. Results from the patients with COVID-19 were compared with those from healthy controls and influenza patients. In addition, results from patients with common and severe COVID-19 were further compared. There were significant differences between COVID-19 and influenza patients in terms of age, white blood cell count, platelet count, percentage of neutrophils, percentage of lymphocytes, percentage of monocytes, percentage of eosinophils, percentage of basophils, neutrophil, count and monocyte count. Two parameters (monocyte count and percentage of basophils) were combined to clarify the diagnostic efficacy of COVID-19 and influenza and the area under the curve was found to be 0.772. Comparison of peripheral blood parameters from common COVID-19, severe COVID-19, and influenza patients revealed many differences during the early disease stages. The diagnostic formula developed by this study will be of benefit for physicians in the differentiation of COVID-19 and influenza.

Indexed as

AdolescentAdultAgedChinaCOVID-19Diagnosis, DifferentialFemaleHumansInfluenza, HumanLeukocyte CountLymphocytesMaleMiddle AgedMonocytesNeutrophilsPlatelet Countbiochemical parametersblood routine parametersCOVID-19influenzaSARS-CoV-2

Identifiers

PMID32749709
PMCPMC7436548
OpenAlexW3046670516

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.