Evidence map›Paper›PMID 32531713›Full record

ArticleInternational immunopharmacology2020

Neutrophil to CD4+ lymphocyte ratio as a potential biomarker in predicting virus negative conversion time in COVID-19.

Haizhou Wang, Yongxi Zhang, Pingzheng Mo, Jing Liu, Hongling Wang, Fan Wang, Qiu Zhao

Abstract read
In one paragraph

Article in International immunopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Spectrum of hematological changes in COVID-19.American journal of blood research · 2022
    Review
  10. Immune response induced by novel coronavirus infection.Frontiers in cellular and infection microbiology · 2022
    Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. A hitchhiker's guide through the COVID-19 galaxy.Clinical immunology (Orlando, Fla.) · 2021
    Review
  16. Article
  17. COVID-19 illness and autoimmune diseases: recent insights.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2021
    Review
  18. Article
  19. Review
  20. 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

7 authors.

Haizhou WangDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Clinical Center & Key Lab of Intestinal & Colorectal Diseases, Wuhan, China.
Yongxi ZhangDepartment of Infectious Disease, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.
Pingzheng MoDepartment of Infectious Disease, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.
Jing LiuDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Clinical Center & Key Lab of Intestinal & Colorectal Diseases, Wuhan, China.
Hongling WangDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Clinical Center & Key Lab of Intestinal & Colorectal Diseases, Wuhan, China.
Fan WangDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Clinical Center & Key Lab of Intestinal & Colorectal Diseases, Wuhan, China. Electronic address: fanndywang@foxmail.com.
Qiu ZhaoDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Clinical Center & Key Lab of Intestinal & Colorectal Diseases, Wuhan, China. Electronic address: zhaoqiuwhu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince December 2019, novel coronavirus (SARS-CoV-2)-infected pneumonia (COVID-19) occurred in Wuhan, and rapidly spread throughout China. Our study aimed to evaluate the robustness of neutrophil to CD4+ lymphocyte ratio (NCD4LR) in predicting the negative conversion time (NCT) of SARS-CoV-2 in COVID-19 patients.

methodsUnivariate and multivariate analysis were conducted to evaluate the independency of NCD4LR in predicting NCT. Receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) were used to assess the diagnostic accuracy.

resultsCompared with low NCD4LR patients, patients with high NCD4LR had an older age; higher incidence of fever, fatigue, chest distress/breath shortness, severer disease assessment on admission; higher levels of inflammatory indicators; low levels of lymphocyte subsets, and a longer NCT. Multivariate analysis also identified NCD4LR as an independent risk factor for delayed NCT. ROC analysis showed that NCD4LR had a better performance than neutrophil to lymphocyte ratio in predicting the virus negative conversion within 2 weeks (AUC = 0.772), 3 weeks (AUC = 0.710), 4 weeks (AUC = 0.728), or 5 weeks (AUC = 0.815).

conclusionThis study suggests that NCD4LR is a potential and useful biomarker for predicting the virus negative conversion time in COVID-19 patients. Furthermore, due to the NCDLR value is easily calculated, it can be widely used as a clinical biomarker for disease progression and clinical outcomes in COVID-19 patients.

Indexed as

CD4-Positive T-LymphocytesClinical Laboratory TechniquesLeukocyte CountNeutrophilsViral LoadAdultAgedAge FactorsAntibodies, ViralArea Under CurveBetacoronavirusBiomarkersConvalescenceCoronavirus InfectionsCOVID-19COVID-19 TestingAntibodies, ViralBiomarkersCOVID-19Negative conversion timeNeutrophil to CD4+ lymphocyte ratioSARS-CoV-2

Identifiers

PMID32531713
PMCPMC7275184

What OpenQuestion holds

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Registered trials

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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.