Evidence map›Paper›PMID 34482573›Full record

ArticleInternational journal of clinical practice2021

Role of NLR, PLR, ELR and CLR in differentiating COVID-19 patients with and without pneumonia.

Tuba Damar Çakırca, Ayşe Torun, Gökhan Çakırca, Reyhan Derya Portakal

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In one paragraph

Article in International journal of clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.8field-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

46 citing papers in PubMed, 70 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 1 institution in 1 country.

Tuba Damar ÇakırcaDepartment of Infectious Diseases and Clinical Microbiology, Sanliurfa Training and Research Hospital, Sanliurfa, Turkey.
Ayşe TorunDepartment of Infectious Diseases and Clinical Microbiology, Sanliurfa Training and Research Hospital, Sanliurfa, Turkey.
Gökhan ÇakırcaDepartment of Biochemistry, Sanliurfa Mehmet Akif Inan Training and Research Hospital, Sanliurfa, Turkey.
Reyhan Derya PortakalDepartment of Chest Diseases, Sanliurfa Training and Research Hospital, Sanliurfa, Turkey.
Şanlıurfa Mehmet Akif İnan Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNeutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), eosinophil/lymphocyte ratio (ELR), and C-reactive protein (CRP)/lymphocyte ratio (CLR) are well-established inflammatory indices. This study aimed to examine whether NLR, PLR, MLR, ELR and CLR could differentiate coronavirus disease 2019 (COVID-19) patients with pneumonia from those of without.

methodsWe retrospectively examined the laboratory parameters including CRP, D-dimer, procalcitonin and complete blood count of 306 COVID-19 patients (pneumonic = 152 and non-pneumonic = 154). NLR, PLR, MLR, ELR and CLR values of each patient were calculated. The ability of these indices to distinguish COVID-19 patients with and without pneumonia was determined by receiver operating characteristic (ROC) analysis.

resultsNLR, PLR and CLR values were higher while ELR value was lower in pneumonic COVID-19 patients compared with patients with non-pneumonic COVID-19 infection. MLR value was similar in the two groups. NLR, PLR and CLR were positively correlated with CRP and procalcitonin. ELR was negatively correlated with CRP. The ROC analysis revealed that the optimal cut-off value of CLR for discriminating COVID-19 patients with pneumonia from those without pneumonia was 1.14 and the area under curve (AUC) for CLR was 0.731 (sensitivity = 81.5% and specificity = 55.6%), which was markedly higher than the AUCs of NLR (0.622), PLR (0.585) and ELR (0.613). However, no statistical differences were observed between AUC values of NLR, PLR and ELR (P > .05).

conclusionOur findings showed that NLR, PLR, ELR and CLR indices can be used in differentiating COVID-19 patients with or without pneumonia. Among them, the CLR index was the best predictor of pneumonia in COVID-19 patients.

Indexed as

COVID-19PneumoniaEosinophilsHumansLymphocytesNeutrophilsPrognosisRetrospective StudiesSARS-CoV-2

Identifiers

PMID34482573
PMCPMC8646493
OpenAlexW3198233241

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Registered trials

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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.