Evidence map›Paper›PMID 35519791›Full record

ArticleCureus2022

Neutrophil-to-Lymphocyte Ratio as a Predictor of Disease Severity and Mortality in Coronavirus Disease 2019: Prospective Study From Central India.

Bharatsing D Rathod, Dnyanesh Amle, Rajashree S Khot, Kiran Kumar Prathipati, Prashant P Joshi

Open access · diamondAbstract read
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Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  11. Diagnostic Value of Hematological Inflammatory Indices (NLR, PLR, HPR) in Thrombotic Thrombocytopenic Purpura: A Case-Control Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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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

5 authors at 1 institution.

Bharatsing D RathodGeneral Medicine, All India Institute of Medical Sciences, Nagpur, IND.
Dnyanesh AmleBiochemistry, All India Institute of Medical Sciences, Nagpur, IND.
Rajashree S KhotGeneral Medicine, All India Institute of Medical Sciences, Nagpur, IND.
Kiran Kumar PrathipatiOtorhinolaryngology, All India Institute of Medical Sciences, Nagpur, IND.
Prashant P JoshiGeneral Medicine, All India Institute of Medical Sciences, Nagpur, IND.
All India Institute of Medical Sciences, Nagpur

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical presentation of coronavirus disease 2019 (COVID-19) varies from an asymptomatic state to severe disease characterized by acute respiratory distress syndrome, respiratory failure, thrombosis, and multi-organ dysfunction syndrome. The neutrophil-to-lymphocyte ratio (NLR) has been reviewed as one of the laboratory factors that have been proposed to predict the severity of disease and mortality in COVID-19 pandemic. AIM AND

objectivesTo evaluate the association between NLR and the disease severity and mortality in COVID-19. MATERIALS AND

methodsAfter approval from Institutional Ethics Committee, this prospective cohort study was carried out in a tertiary-care teaching medical institute of Central India. COVID-19 patients of the age group 18 years and above admitted during the study period were included. Cases were categorized into four groups as asymptomatic (Group A), mild (Group B), moderate (Group C), and severe (Group D) based on clinical symptoms, respiratory rate, oxygen saturation, and chest imaging. NLR was calculated by doing a complete blood count at the time of hospitalization by the Mindray BC-6000 auto hematology analyzer. The outcome of the disease was classified as recovery and death during hospitalization. Receiver operating characteristic (ROC) curve analysis was used to assess the ability of NLR at admission to predict severe COVID-19 or mortality. Ordinal regression analysis was used to assess the impact of NLR on disease severity and mortality.

resultsMean NLR was significantly higher in the severe COVID-19 group as compared to the mild/moderate group and in deceased as compared to discharged cases. ROC curve analysis revealed NLR to be an excellent predictor of disease severity as well as a prognostic parameter for risk of death. NLR was found to be a significant independent positive predictor for contracting the severe disease (Odd's ratio 1.396, 95% CI=1.112-1.753, p=0.004) and mortality (Odd's ratio 1.276, 95% CI=1.085-1.499, p=0.003).

conclusionHigh NLR was significantly associated with the disease severity and mortality in COVID-19.

Indexed as

covid-19cytokine stormmortalityneutrophil-to-lymphocyte ratio (nlr)severity

Identifiers

PMID35519791
PMCPMC9064266
OpenAlexW4220932633

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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.