Evidence map›Paper›PMID 33453617›Full record

SynthesisThe American journal of emergency medicine2021

Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis.

Daniel Martin Simadibrata, Julius Calvin, Alya Darin Wijaya, Naufal Arkan Abiyyu Ibrahim

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The American journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 1 pooled it
11.6field-weighted citation impact, top 1% 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

109 citing papers in PubMed, 1 synthesis or guideline pooled it, 203 citations in OpenAlex.

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  10. Viral Prognosis Using Proteomics.Advances in experimental medicine and biology · 2026
    Review
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  15. Observational
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49 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

4 authors at 1 institution in 1 country.

Daniel Martin SimadibrataFaculty of Medicine, Universitas Indonesia, Jakarta, Indonesia. Electronic address: daniel.simadibrata@ui.ac.id.
Julius CalvinFaculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Alya Darin WijayaFaculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Naufal Arkan Abiyyu IbrahimFaculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
University of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe neutrophil-to-lymphocyte ratio (NLR), an inflammatory marker, was suggested to be predictive of severity and mortality in COVID-19 patients. Here, we investigated whether NLR levels on admission could predict the severity and mortality of COVID-19 patients.

methodsA literature search was conducted on 23 July 2020 to retrieve all published articles, including grey literature and preprints, investigating the association between on-admission NLR values and severity or mortality in COVID-19 patients. A meta-analysis was performed to determine the overall standardized mean difference (SMD) in NLR values and the pooled risk ratio (RR) for severity and mortality with the 95% Confidence Interval (95%CI).

resultsA total of 38 articles, including 5699 patients with severity outcomes and 6033 patients with mortality outcomes, were included. The meta-analysis showed that severe and non-survivors of COVID-19 had higher on-admission NLR levels than non-severe and survivors (SMD 0.88; 95%CI 0.72-1.04; I

conclusionHigh NLR levels on admission were associated with severe COVID-19 and mortality. Further studies need to focus on determining the optimal cut-off value for NLR before clinical use.

Indexed as

Lymphocyte CountNeutrophilsCOVID-19HospitalizationHumansSeverity of Illness IndexSurvival RateCOVID-19Meta-analysisMortalityNeutrophil-to-lymphocyte ratioSeverity

Identifiers

PMID33453617
PMCPMC7832118
OpenAlexW3119134764

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.