Evidence map›Paper›PMID 32921706›Full record

SynthesisActa bio-medica : Atenei Parmensis2020

Lymphopenia and neutrophilia at admission predicts severity and mortality in patients with COVID-19: a meta-analysis.

Brandon Henry, Isaac Cheruiyot, Jens Vikse, Victor Mutua, Vincent Kipkorir, Justin Benoit, Mario Plebani, Nicola Bragazzi, Giuseppe Lippi

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Acta bio-medica : Atenei Parmensis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 3 pooled it
2.9field-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

85 citing papers in PubMed, 3 syntheses or guidelines pooled it, 140 citations in OpenAlex.

  1. Pooled it
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  3. Clinical significance of prognostic nutrition index in hospitalized patients with COVID-19: Results from single-center experience with systematic review and meta-analysis.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2021
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  10. Lethal COVID-19 associates with RAAS-induced inflammation for multiple organ damage including mediastinal lymph nodes.Proceedings of the National Academy of Sciences of the United States of America · 2024
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25 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Brandon Henry1. Cardiac Intensive Care Unit, The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. bmhenry55@gmail.com.
Isaac CheruiyotArray. isaacbmn@outlook.com.
Jens VikseClinical Immunology Unit, Stavanger University Hospital, Norway. jensvikse@gmail.com.
Victor MutuaSchool of Medicine, University of Nairobi. vicmutua3@gmail.com.
Vincent KipkorirSchool of Medicine, University of Nairobi. vincentkipkorir42357@gmail.com.
Justin Benoit4. Department of Emergency Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH, USA. justinleebenoit@gmail.com.
Mario PlebaniDepartment of Laboratory Medicine, University Hospital of Padova, Padova, Italy. mario.plebani@unipd.it.
Nicola Bragazzi6. Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, Canada. robetobragazzi@gmail.com.
Giuseppe LippiSection of Clinical Biochemistry, University of Verona, Verona, Italy. giuseppe.lippi@univr.it.
University of Padua · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a compelling need to identify clinical and laboratory predictors of unfavorable clinical course and death in patients with coronavirus disease (COVID-19). A trend towards low lymphocyte count and high neutrophil counts in patients with poor outcomes has been reported by earlier studies. We aim to synthesize existing data evaluating the relationship between clinical outcomes and abnormal neutrophil and lymphocyte counts at admission in COVID-19 patients.

methodsAn electronic search was carried out in PubMed, China National Knowledge Infrastructure (CNKI) and Cochrane Central Register of Controlled Trials (CENTRAL) to identify eligible studies reporting frequency data on neutrophilia and lymphopenia at admission in hospitalization in COVID-19 patients. Pooled odds ratios of clinical outcomes for each parameter were calculated using Comprehensive Meta-Analysis.

resultsA total of 22 studies (4,969 patients) were included in this meta-analysis. Lymphopenia at admission was found to be significantly associated with increased odd of progression to severe disease (odds ratio [OR], 4.20; 95% confidence interval [95CI%], 3.46-5.09) and death (OR, 3.71; 95%CI, 1.63-8.44). Neutrophilia at admission was also found to be significantly associated with increased odd of progression to severe disease (OR, 7.99; 95%CI, 1.77-36.14) and death (OR, 7.87; 95%CI, 1.75-35.35). Subgroup analysis revealed that COVID-19 patients with severe lymphopenia (<0.5 x10×9/L) had 12-fold increased odds of in-hospital mortality.

conclusionAdmission lymphopenia and neutrophilia are associated with poor outcomes in patients with COVID-19. Regular monitoring and early and even more aggressive intervention shall hence be advisable in patients with low lymphocyte and high neutrophil counts. These variables may be useful in risk stratification models.

Indexed as

PandemicsBetacoronavirusCoronavirus InfectionsCOVID-19Disease ProgressionGlobal HealthHumansLeukocyte DisordersLymphopeniaPneumonia, ViralRisk FactorsSARS-CoV-2Survival Rate

Identifiers

PMID32921706
PMCPMC7716963
OpenAlexW3085260439

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.