Evidence map›Paper›PMID 34181675›Full record

ArticlePloS one2021

Neutrophil-to-lymphocyte ratio, platelets-to-lymphocyte ratio, and eosinophils correlation with high-resolution computer tomography severity score in COVID-19 patients.

Milena Adina Man, Ruxandra-Mioara Rajnoveanu, Nicoleta Stefania Motoc, Cosmina Ioana Bondor, Ana Florica Chis, Andrei Lesan, Ruxandra Puiu, Sergiu-Remus Lucaciu, Elena Dantes, Bianca Gergely-Domokos and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 69 citations in OpenAlex.

  1. Interaction Between theInternational journal of molecular sciences · 2025
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  3. Artificial intelligence algorithms based approach in evaluating COVID-19 patients and management.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
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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

11 authors at 3 institutions in 2 countries.

Milena Adina ManDepartment of Medical Sciences, Pulmonology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj Napoca, Cluj, Romania.
Ruxandra-Mioara RajnoveanuDepartment of Medical Sciences, Pulmonology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj Napoca, Cluj, Romania.
Nicoleta Stefania MotocDepartment of Medical Sciences, Pulmonology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj Napoca, Cluj, Romania.ORCID 0000-0003-4017-5828
Cosmina Ioana BondorDepartment of Medical Biostatistics, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj Napoca, Romania.
Ana Florica ChisDepartment of Medical Sciences, Pulmonology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj Napoca, Cluj, Romania.
Andrei LesanDepartment of Medical Sciences, Pulmonology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj Napoca, Cluj, Romania.
Ruxandra PuiuDepartment of Medical Sciences, Pulmonology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj Napoca, Cluj, Romania.
Sergiu-Remus LucaciuDepartment of Medical Sciences, Pulmonology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj Napoca, Cluj, Romania.
Elena DantesFaculty of Medicine, "Ovidius" University, Constanta, Romania.
Bianca Gergely-DomokosDepartment of Medical Sciences, Pulmonology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj Napoca, Cluj, Romania.
Ovidiu Fira-MladinescuCenter for Research and Innovation in Personalized Medicine of Respiratory Diseases, Department of Infectious Diseases, Pulmonology, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.
Iuliu Hațieganu University of Medicine and Pharmacy · ROOvidius University · ROVictor Babeș University of Medicine and Pharmacy Timișoara · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation has an important role in the progression of various viral pneumonia, including COVID-19. Circulating biomarkers that can evaluate inflammation and immune status are potentially useful in diagnosing and prognosis of COVID-19 patients. Even more so when they are a part of the routine evaluation, chest CT could have even higher diagnostic accuracy than RT-PCT alone in a suggestive clinical context. This study aims to evaluate the correlation between inflammatory markers such as neutrophil-to-lymphocyte ratio (NLR), platelets-to-lymphocytes ratio (PLR), and eosinophils with the severity of CT lesions in patients with COVID-19. The second objective was to seek a statically significant cut-off value for NLR and PLR that could suggest COVID-19. Correlation of both NLR and PLR with already established inflammatory markers such as CRP, ESR, and those specific for COVID-19 (ferritin, D-dimers, and eosinophils) were also evaluated. One hundred forty-nine patients with confirmed COVID-19 disease and 149 age-matched control were evaluated through blood tests, and COVID-19 patients had thorax CT performed. Both NLR and PLR correlated positive chest CT scan severity. Both NLR and PLR correlated positive chest CT scan severity. When NLR value is below 5.04, CT score is lower than 3 with a probability of 94%, while when NLR is higher than 5.04, the probability of severe CT changes is only 50%. For eosinophils, a value of 0.35% corresponds to chest CT severity of 2 (Se = 0.88, Sp = 0.43, AUC = 0.661, 95% CI (0.544; 0.779), p = 0.021. NLR and PLR had significantly higher values in COVID-19 patients. In our study a NLR = 2.90 and PLR = 186 have a good specificity (0.89, p = 0.001, respectively 0.92, p<0.001). Higher levels in NLR, PLR should prompt the clinician to prescribe a thorax CT as it could reveal important lesions that could influence the patient's future management.

Indexed as

Signal-To-Noise RatioTomography, X-Ray ComputedAdultBlood PlateletsCOVID-19EosinophilsFemaleHumansLymphocyte CountMaleMiddle AgedNeutrophils

Identifiers

PMID34181675
PMCPMC8238190
OpenAlexW3173229792

What OpenQuestion holds

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LicenceCC BY
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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.