Evidence map›Paper›PMID 37736444›Full record

ArticleCureus2023

Association of Neutrophil/Lymphocyte Ratio and Neutrophil/Lymphocyte Platelet Ratio With Acute Kidney Injury in Severe COVID-19.

Edgar Bravo, Irma L Maldonado, Marco A Razo, Gloria V Martinez, Sergio Lopez

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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 in 2 countries.

Edgar BravoCritical Care Medicine, General Hospital León, León, MEX.
Irma L MaldonadoResearch Department, University of Guanajuato, León, MEX.
Marco A RazoCritical Care Medicine, General Hospital León, León, MEX.
Gloria V MartinezResearch Department, University of Guanajuato, León, MEX.
Sergio LopezResearch Department, University of Guanajuato, León, MEX.
Universidad de Guanajuato · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Severe disease from COVID-19 was the leading cause of admission to the emergency room and hospitalization during the pandemic in Mexico. Acute kidney injury was one of the most prevalent complications in these patients. The neutrophil/lymphocyte (NL) index and the neutrophil/lymphocyte platelet (NLP) index have previously been described as possible markers associated with complications and mortality in this disease. Objective To determine the association of the NL ratio and the NLP ratio in patients with acute kidney injury secondary to severe COVID-19. Materials and methods This is a case-control study, unpaired, of patients diagnosed with severe COVID-19 who presented or did not present acute kidney injury. On admission to the hospital, the hematological ratios were calculated, and Mann-Whitney U tests and multivariate logistic regression were performed. Results A total of 160 patients were included, and a difference in the NLP ratio (4.2 vs. 3.1, p = 0.001) was observed between patients with and without acute kidney injury. Additionally, the NLP ratio was the main risk variable for acute kidney injury in severe COVID-19, with an odds ratio of 2.5 and a 95% confidence interval of 1.108-5.66. Conclusions The NLP ratio has a moderate association and is a risk factor associated with the presence of acute kidney injury in patients with severe COVID-19.

Indexed as

acute kidney injurybiomarkers in acute kidney injurycovid-19neutrophil-to-lymphocyte ratio (nlr)sars-cov-2sars-cov-2 (severe acute respiratory syndrome coronavirus 2)

Identifiers

PMID37736444
PMCPMC10511298
OpenAlexW4386020990

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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.