Evidence map›Paper›PMID 35356643›Full record

ArticleChina CDC weekly2022

Diagnostic Value of Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio in Patients with Severe COVID-19 - 7 PLADs, China, January 21-February 10, 2020.

Yan Ma, Dongshan Zhu, Nannan Shi, Lei Zhang, Guangkun Chen, Youwen Ge, Zelei Zhang, Renbo Chen, Sihong Liu, Yipin Fan and 2 more

Open access · diamondAbstract read
In one paragraph

Article in China CDC weekly, 2022. 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
0.2field-weighted citation impact, top 48% 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
  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

12 authors at 2 institutions in 1 country.

Yan MaDepartment of Infectious Disease Prevention, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Dongshan ZhuDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China.
Nannan ShiChinese Medicine Standardization Research Center, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Lei ZhangInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Guangkun ChenInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Youwen GeDepartment of Infectious Disease Prevention, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Zelei ZhangChinese Medicine Standardization Research Center, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Renbo ChenChinese Medicine Standardization Research Center, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Sihong LiuInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Yipin FanDepartment of Infectious Disease Prevention, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Huamin ZhangInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Yanping WangChinese Medicine Standardization Research Center, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Coronavirus disease 2019 (COVID-19) causes symptoms ranging from mild to severe. Indicators for identifying severe COVID-19 infection have not been well identified, especially for young patients. What is added by this report?: Both neutrophil-lymphocyte ratio (NLR) [area under curve (AUC): 0.80; the odds ratios (OR) and 95% confidence intervals (95% CI): 1.30 (1.13-1.50)] and platelet-lymphocyte ratio (PLR) [AUC: 0.87; OR (95% CI): 1.05 (1.01-1.09)] were determined to be indicators for recognition of patients with severe COVID-19 in young patients less than age 40. What are the implications for public health practice?: NLR and PLR are useful indicators for identifying patients with severe COVID-19, especially in young patients less than age 40.

Indexed as

COVID-19Neutrophil-lymphocyte ratioplatelet-lymphocyte ratioSevere Patient

Identifiers

PMID35356643
PMCPMC8930406
OpenAlexW4220677550

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.