Evidence map›Paper›PMID 32181903›Full record

ArticleJournal of medical virology2020

Platelet-to-lymphocyte ratio is associated with prognosis in patients with coronavirus disease-19.

Rong Qu, Yun Ling, Yi-Hui-Zhi Zhang, Li-Ya Wei, Xiao Chen, Xu-Mian Li, Xuan-Yong Liu, Han-Mian Liu, Zhi Guo, Hua Ren and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 299 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
299citing papers in PubMed, 8 pooled it
14.0field-weighted citation impact, top 1% 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

299 citing papers in PubMed, 8 syntheses or guidelines pooled it, 607 citations in OpenAlex.

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239 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 1 country.

Rong QuDepartment of Critical Care Medicine, Huizhou Municipal Central Hospital, Huizhou, China.
Yun LingDepartment of Critical Care Medicine, Huizhou Municipal Central Hospital, Huizhou, China.
Yi-Hui-Zhi ZhangDepartment of Hematology and Oncology, National Cancer Center/National Clinical Research Cancer for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Li-Ya WeiDepartment of Hematology and Oncology, National Cancer Center/National Clinical Research Cancer for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Xiao ChenDepartment of Hematology and Oncology, National Cancer Center/National Clinical Research Cancer for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Xu-Mian LiDepartment of Hematology and Oncology, National Cancer Center/National Clinical Research Cancer for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Xuan-Yong LiuDepartment of Hematology and Oncology, National Cancer Center/National Clinical Research Cancer for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Han-Mian LiuDepartment of Critical Care Medicine, Huizhou Municipal Central Hospital, Huizhou, China.
Zhi GuoDepartment of Hematology and Oncology, National Cancer Center/National Clinical Research Cancer for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.ORCID http://orcid.org/0000-0003-2639-8216
Hua RenDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qiang WangInstitute of Infection, Immunology and Tumor Microenvironment, Medical College, Wuhan University of Science and Technology, Wuhan, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNHuizhou Central People's Hospital · CNWuhan University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since December 2019, novel coronavirus infected pneumonia emerged in Wuhan city and rapidly spread throughout China. In severe novel coronavirus pneumonia cases, the number of platelets, their dynamic changes during the treatment, platelet-to-lymphocyte ratio (PLR) were a concern. We sought to describe the platelet feature of these cases. Single-center case series of the 30 hospitalized patients with confirmed coronavirus disease (COVID)-19 in Huizhou municipal central hospital from January 2020 to February 2020 were retrospectively analyzed. Demographic, clinical, blood routine results, other laboratory results, and treatment data were collected and analyzed. Outcomes of severe patients and nonsevere patients were compared. Univariate analysis showed that: age, platelet peaks, and PLR at peak platelet were the influencing factors in severe patients, multivariate analysis showed that the PLR value at peak platelet during treatment was an independent influencing factor in severe patients. The average hospitalization day of patients with platelet peaks during treatment was longer than those without platelet peaks (P < .05). The average age of patients with platelet peaks during treatment was older than those without platelet peaks (P < .05). The patients with significantly elevated platelets during treatment had longer average hospitalization days. And the higher PLR of patients during treatment had longer average hospitalization days. Single-center case series of the 30 hospitalized patients with confirmed COVID-19 in Huizhou Municipal Central Hospital, presumed that the number of platelets and their dynamic changes during the treatment may have a suggestion on the severity and prognosis of the disease. The patient with markedly elevated platelets and longer average hospitalization days may be related to the cytokine storm. The PLR of patients means the degree of cytokine storm, which might provide a new indicator in the monitoring in patients with COVID-19.

Indexed as

Lymphocyte CountPlatelet CountSARS-CoV-2AdultAgedBiomarkersCOVID-19Cytokine Release SyndromeFemaleHumansLeukocyte CountMaleMiddle AgedPrognosisSeverity of Illness IndexTomography, X-Ray ComputedBiomarkerscoronavirus diseasecytokine stormplatelet-to-lymphocyte ratioplatelet valuerisk factor

Identifiers

PMID32181903
PMCPMC7228291
OpenAlexW3011664785

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.