Evidence map›Paper›PMID 34732555›Full record

ArticleSaudi medical journal2021

Predictive value of platelet to lymphocyte ratio and neutrophil to lymphocyte ratio in evaluating both lung involvement and severity of patients with coronavirus disease 2019.

Yusuf Aksu, Ali U Uslu, Gülten Tarhan, Mustafa Karagülle

Abstract read
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Article in Saudi medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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.

Yusuf AksuFrom the Department of Radiology (Aksu); and from the Department of Internal Medicine (Uslu, Tarhan, Karagülle), Yunus Emre State Hospital, Eskişehir, Turkey.
Ali U UsluFrom the Department of Radiology (Aksu); and from the Department of Internal Medicine (Uslu, Tarhan, Karagülle), Yunus Emre State Hospital, Eskişehir, Turkey.
Gülten TarhanFrom the Department of Radiology (Aksu); and from the Department of Internal Medicine (Uslu, Tarhan, Karagülle), Yunus Emre State Hospital, Eskişehir, Turkey.
Mustafa KaragülleFrom the Department of Radiology (Aksu); and from the Department of Internal Medicine (Uslu, Tarhan, Karagülle), Yunus Emre State Hospital, Eskişehir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the relationship of the neutrophil lymphocyte ratio (NLR) and the platelet lymphocyte ratio (PLR) with lung involvement and total lung severity score (TLSS) in computed tomography (CT) of patients with coronavirus disease -19 (COVID-19) and to evaluate their clinical usability.

methodsBasic laboratory, clinical features and imaging data of patients was obtained by examining the file and archive records of our hospital. According to the findings of lung CT scan at the time of diagnosis among COVID-19 patients, 2 groups were formed.

resultsThe NLR was 2.22±11.15 and the PLR was 142.77±387.10 in patients with COVID-19 pneumonia. The NLR was 1.88±7.47 and the PLR was 130.65±203.6 8 in patients without COVID-19 pneumonia. The differences in the NLR and the PLR were determined to be statistically significant between the 2 groups. A positive correlation was observed between NLR and PLR (r=0.225,

conclusionThis study showed that the NLR and PLR values can be 2 inflammatory markers that can be used to evaluate lung involvement and disease severity in COVID-19 patients. At the time of initial diagnosis and during follow-up, these markers can give an idea in terms of prognosis, together with other clinical findings and markers.

Indexed as

COVID-19NeutrophilsBlood PlateletsHumansLungLymphocyte CountLymphocytesPlatelet CountPrognosisRetrospective StudiesSARS-CoV-2COVID-19 pneumoniaNLRPLRtotal lung severity score

Identifiers

PMID34732555
PMCPMC9149732

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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.