Evidence map›Paper›PMID 33573626›Full record

ArticleBMC pulmonary medicine2021

Association between peripheral lymphocyte count and the mortality risk of COVID-19 inpatients.

Saibin Wang, Yijun Sheng, Junwei Tu, Lanlan Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Saibin WangDepartment of Respiratory Medicine, Jinhua Municipal Central Hospital, Jinhua Hospital of Zhejiang University, No. 365, East Renmin Road, Jinhua, 321000, Zhejiang Province, China. saibinwang@hotmail.com.ORCID http://orcid.org/0000-0002-1749-1200
Yijun ShengDepartment of Respiratory Medicine, Jinhua Municipal Central Hospital, Jinhua Hospital of Zhejiang University, No. 365, East Renmin Road, Jinhua, 321000, Zhejiang Province, China.
Junwei TuDepartment of Respiratory Medicine, Jinhua Municipal Central Hospital, Jinhua Hospital of Zhejiang University, No. 365, East Renmin Road, Jinhua, 321000, Zhejiang Province, China.
Lanlan ZhangDepartment of Nursing, Wuhan Fourth Hospital, PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, No. 66, South Xuefu Road, Wuhan, 430032, Hubei Province, China. lanlanzhangxg@126.com.
Jinhua Central Hospital · CNWuhan Puai Hospital · CN

Funding

the Research Project of Emergency Prevention and Control of COVID-19 in Jinhua City 2020XG-15
6 · The paper itself

Abstract

backgroundTo explore the relationship between peripheral lymphocyte counts (PLCs) and the mortality risk of coronavirus disease 2019 (COVID-19), as well as the potential of PLC for predicting COVID-19 hospitalized patients death.

methodsBaseline characteristics, laboratory tests, imaging examinations, and outcomes of 134 consecutive COVID-19 hospitalized patients were collected from a tertiary hospital in Wuhan city from January 25 to February 24, 2020. Multiple regression analysis was used to analyze the relationship between the PLC at admission and mortality risk in COVID-19 patients and to establish a model for predicting death in COVID-19 hospitalized patients based on PLC.

resultsAfter adjusting for potential confounding factors, we found a non-linear relationship and threshold saturation effect between PLC and mortality risk in COVID-19 patients (infection point of PLC: 0.95 × 10

conclusionsPLC had a non-linear relationship with mortality risk in COVID-19 inpatients. Reduced PLCs (< 0.95 × 10

Indexed as

COVID-19Hospital MortalityLymphocyte CountArea Under CurveChinaFemaleHospitalizationHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesRisk AssessmentRisk FactorsSARS-CoV-2Coronavirus disease 2019Lymphocyte countMortalityNon-linear relationshipPrediction

Identifiers

PMID33573626
PMCPMC7877317
OpenAlexW3128922351

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.