Evidence map›Paper›PMID 32304994›Full record

ArticleInternational immunopharmacology2020

The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients.

Ai-Ping Yang, Jian-Ping Liu, Wen-Qiang Tao, Hui-Ming Li

Registry-linked trialAbstract read
In one paragraph

Article in International immunopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05126602 (Vitamin D Supplementation and Changes of Hematology Parameter, Coagulation Profile, and Clinical Improvement Among COVID-19 Patients), which is not on this map. Cited by 527 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
527citing papers in PubMed, 3 pooled it
26.6field-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.

NCT05126602 nacompletednot on this mapstarted 2021, after this paper: background citation

Vitamin D Supplementation and Changes of Hematology Parameter, Coagulation Profile, and Clinical Improvement Among COVID-19 Patients

TypeinterventionalSponsorBumi HermanRan2021 to 2021Enrolled60ConditionsCOVID-19ArmsVitamin D3 10000 IU, Vitamin D3 1000 IU
3 · Its place in the literature

Who cites it

527 citing papers in PubMed, 3 syntheses or guidelines pooled it, 1,188 citations in OpenAlex.

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467 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Ai-Ping YangDepartment of Clinical Laboratory, Zhejiang Xiaoshan Hospital, No. 728, Yucai Road, Hangzhou, Zhejiang Province, PR China.
Jian-Ping LiuDepartment of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, No. 17 YongwaiZheng Street, Nanchang 330006, Jiangxi, China. Electronic address: 393668003@qq.com.
Wen-Qiang TaoDepartment of Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Hui-Ming LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, No. 17 YongwaiZheng Street, Nanchang 330006, Jiangxi, China.
Nanchang University · CNFirst Affiliated Hospital of Nanchang University · CNThe First People's Hospital of Xiaoshan District, Hangzhou · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo accumulate evidence that indicated the key role played by virus-triggered inflammation in the 2019-novel coronavirus disease (COVID-19) which emerged in Wuhan City and rapidly spread throughout China.

methodsAge, neutrophil(NEU)-to-lymphocyte (LYM) ratio (NLR), lymphocyte-to-monocyte (MON) ratio, platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) of 93 patients with laboratory confirmed COVID-19 were investigated and compared. The receiver operating characteristic curve was applied to determine the thresholds for five bio-markers, and their prognostic values were assessed via the Kaplan-Meier curve and multivariate COX regression models.

resultsThe median age was 46.4 years old, and 37cases were females. A total of 27.8% of patients had been to Wuhan, and 73.1% had contacted with people from Wuhan. Fever (83.8%) and cough (70.9%) were the two most common symptoms. Elevated NLR and age were significantly associated with illness severity. The binary logistic analysis identified elevated NLR (hazard risk [HR] 2.46, 95% confidence interval [CI] 1.98-4.57) and age (HR 2.52, 95% CI 1.65-4.83) as independent factors for poor clinical outcome of COVID-19. NLR exhibited the largest area under the curve at 0.841, with the highest specificity (63.6%) and sensitivity (88%).

conclusionsElevated age and NLR can be considered independent biomarkers for indicating poor clinical outcomes.

Indexed as

BetacoronavirusAdultBlood PlateletsCoronavirus InfectionsCOVID-19C-Reactive ProteinEpidemicsFemaleHumansLymphocyte CountLymphocytesMaleMiddle AgedMonocytesNeutrophilsPandemicsC-Reactive ProteinAgeCOVID-19Neutrophil-to-lymphocyte ratioPlatelet-to-LYM ratioPredictive

Identifiers

PMID32304994
PMCPMC7152924
OpenAlexW3016987930

What OpenQuestion holds

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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.