Evidence map›Paper›PMID 34342712›Full record

SynthesisWiener klinische Wochenschrift2021

The neutrophil to lymphocyte ratio is an independent predictor for severe COVID-19 : Evidence from a multicenter case-control study and meta-analyses.

Jiangli Cheng, Aijia Ma, Jing Yang, Meiling Dong, Xuelian Liao, Yan Kang

Abstract readMeta-AnalysisMulticenter Study
In one paragraph

Synthesis in Wiener klinische Wochenschrift, 2021. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Jiangli ChengDepartment of Critical Care Medicine, West China Hospital of Sichuan University, No. 37, Guoxue Alley, 610041, Chengdu, Sichuan Province, China.
Aijia MaDepartment of Critical Care Medicine, West China Hospital of Sichuan University, No. 37, Guoxue Alley, 610041, Chengdu, Sichuan Province, China.
Jing YangDepartment of Critical Care Medicine, West China Hospital of Sichuan University, No. 37, Guoxue Alley, 610041, Chengdu, Sichuan Province, China.
Meiling DongDepartment of Critical Care Medicine, West China Hospital of Sichuan University, No. 37, Guoxue Alley, 610041, Chengdu, Sichuan Province, China.
Xuelian LiaoDepartment of Critical Care Medicine, West China Hospital of Sichuan University, No. 37, Guoxue Alley, 610041, Chengdu, Sichuan Province, China.
Yan KangDepartment of Critical Care Medicine, West China Hospital of Sichuan University, No. 37, Guoxue Alley, 610041, Chengdu, Sichuan Province, China. kangyan@scu.edu.cn.

Funding

1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University ZYGD18020Project of Novel Coronavirus Pneumonia in West China Hospital HX2019nCoV027
6 · The paper itself

Abstract

purposeThe aim of this study was to determine whether the neutrophil to lymphocyte ratio (NLR) can predict severe Coronavirus disease 2019 (COVID-19). PATIENTS AND

methodsA multicenter case-control study was conducted to investigate whether the NLR can help predict the severity of COVID-19. Patients confirmed to have COVID-19 between 16 January 2020 and 15 March 2020 were enrolled. Furthermore, meta-analyses were conducted based on both previous studies and our case-control study.

resultsIn the case-control study, 213 patients (severe: 81) were included. The results suggested that the NLR was an independent risk factor (odds ratio [OR], 1.155, 95% confidence interval [95% CI]: 1.043-1.279, P = 0.006) and a great predictor (the area under the ROC curve was 0.728, 95% CI: 0.656-0.800) for severe COVID-19. In total, 18 datasets from 16 studies combined with our case-control study (severe: 1211; non-severe: 5838) were included in the meta-analyses and the results showed that the NLR of the severe COVID-19 group was significantly higher than that of the non-severe group (SMD = 1.10, 95% CI: 0.90-1.31, P < 0.001). Based on the 2 × 2 data from 6 studies, the SROC of NLR for predicting severe COVID-19 was 0.802, with a sensitivity of 0.67 (95% CI: 0.61-0.72) and a specificity of 0.75 (95% CI: 0.73-0.78).

conclusionBased on a multicenter case-control study and a meta-analysis, we found that the initial NLR was a great predictor of severe COVID-19.

Indexed as

COVID-19NeutrophilsCase-Control StudiesHumansLymphocyte CountLymphocytesMulticenter Studies as TopicPrognosisRetrospective StudiesSARS-CoV-2Coronavirus disease 2019LymphocyteNeutrophilRisk factorSeverity

Identifiers

PMID34342712
PMCPMC8329905

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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.