Evidence map›Paper›PMID 34488665›Full record

ArticleBMC infectious diseases2021

Clinical value of blood markers to assess the severity of coronavirus disease 2019.

Liu-Niu Xiao, Xiao Ran, Yan-Xia Zhong, Shu-Sheng Li

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Expression ofFuture virology · 2023
    Article
  6. Association of Monocyte Distribution Width with the Need for Respiratory Support in Hospitalized COVID-19 Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    Article
  7. Observational
  8. Article
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

4 authors at 1 institution in 1 country.

Liu-Niu XiaoDepartment of Intensive Care Unit of Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China. 754203048@qq.com.ORCID http://orcid.org/0000-0003-4233-5186
Xiao RanDepartment of Intensive Care Unit of Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
Yan-Xia ZhongDepartment of Intensive Care Unit of Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
Shu-Sheng LiDepartment of Intensive Care Unit of Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, Hubei, China.
Tongji Hospital · CN

Funding

Fundamental Research Funds for Central Universities 2019kfyRCPY098
6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is threatening the world with the symptoms of seasonal influenza. This study was conducted to investigate the patient characteristics and clinical value of blood markers to assess the severity of coronavirus disease 2019 (COVID-19).

methods187 patients, diagnosed with COVID-19 (non-severe and severe cases) and admitted to hospital between January 27th and March 8th of 2020, were enrolled in the present study.

resultsA higher proportion of clinical symptoms, including cough, expectoration, myalgia, and fatigue were observed in the non-severe group. The level of white blood cell count, neutrophils, CRP, IL-6 and IL-8 were significantly increased, while the platelet count was remarkedly decreased in the severe group. The risk model based on lymphocyte, IL-6, IL-8, CRP and platelet counts had the highest area under the receiver operator characteristic curve (AUROC). The baseline of IL-6, IL-8 and CRP was positively correlated with other parameters except in the cases of lymphocyte, hemoglobin and platelet counts. The baseline of the platelet count was negatively correlated with other parameters except in the lymphocyte and hemoglobin counts. Additionally, there was no connection between the severity of COVID-19 and cultures of blood, sputum or catheter secretion.

conclusionsThe present study suggested that high leucocyte and low platelets counts were independent predictive markers of the severity of COVID-19.

Indexed as

COVID-19Area Under CurveBiomarkersHumansLymphocyte CountPlatelet CountRetrospective StudiesSARS-CoV-2BiomarkersCOVID-19CRPIL-6IL-8Platelet

Identifiers

PMID34488665
PMCPMC8420143
OpenAlexW3109385606

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.