Evidence map›Paper›PMID 32542842›Full record

SynthesisCytometry. Part A : the journal of the International Society for Analytical Cytology2020

Lymphocyte Subset Counts in COVID-19 Patients: A Meta-Analysis.

Wei Huang, Julie Berube, Michelle McNamara, Suraj Saksena, Marsha Hartman, Tariq Arshad, Scott J Bornheimer, Maurice O'Gorman

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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

157 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  9. Treatment With 25-Hydroxyvitamin DEndocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2021
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97 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

8 authors.

Wei HuangBD Biosciences, San Jose, California, USA.
Julie BerubeBD Global Clinical Development, Franklin Lakes, New Jersey, USA.
Michelle McNamaraBD Biosciences, San Jose, California, USA.
Suraj SaksenaBD Biosciences, San Jose, California, USA.
Marsha HartmanBD Biosciences, San Jose, California, USA.
Tariq ArshadBD Biosciences, San Jose, California, USA.
Scott J BornheimerBD Biosciences, San Jose, California, USA.
Maurice O'GormanDepartment of Pathology, The Keck School of Medicine, University of Southern California, Children's Hospital of Los Angeles, California, Los Angeles, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A reduced peripheral blood absolute lymphocyte count with an elevated neutrophil count has been a consistent observation in hospitalized coronavirus disease 2019 (COVID-19) patients. In this brief meta-analysis, the reduction of lymphocyte subset counts in COVID-19 patients was investigated across 20 peer-reviewed studies meeting criteria for reporting lymphocyte subset counts and COVID-19 disease severity. CD4+ T cell, CD8+ T cell, B cell, NK cell, and total lymphocyte cell counts all showed statistically significant reduction in patients with severe/critical COVID-19 disease compared to mild/moderate disease. T-cell subsets showed the largest standardized magnitude of change. In some studies, multivariate analysis has shown that CD4 and/or CD8 T-cells counts are independently predictive of patient outcomes. © 2020 International Society for Advancement of Cytometry.

Indexed as

BetacoronavirusB-LymphocytesCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCoronavirus InfectionsCOVID-19HumansKiller Cells, NaturalLymphocyte CountNeutrophilsPandemicsPneumonia, ViralSARS-CoV-2T-Lymphocyte SubsetsCOVID-19flow cytometryimmunophenotypinglymphocyte subsetT-cell subset

Identifiers

PMID32542842
PMCPMC7323417

What OpenQuestion holds

Textmetadata
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.