Evidence map›Paper›PMID 34061374›Full record

ArticleJournal of medical virology2021

An updated meta-analysis on the association between tuberculosis and COVID-19 severity and mortality.

Yadong Wang, Ruo Feng, Jie Xu, Hongjie Hou, Huifen Feng, Haiyan Yang

Open access · bronzeAbstract readLetterComment
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 5 pooled it
1.8field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 5 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Pooled it
  5. Pooled it
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Diverse interactions ofFrontiers in tuberculosis · 2024
    Review
  13. Article
  14. Immune interaction between SARS-CoV-2 andFrontiers in immunology · 2023
    Review
  15. Article
  16. Lung health in Africa: challenges and opportunities in the context of COVID-19.American journal of physiology. Lung cellular and molecular physiology · 2021
    Article
  17. Article
  18. Time to regain lost ground: Tuberculosis in the COVID-19 era.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
    Article
  19. COVID-19 andWestern Pacific surveillance and response journal : WPSAR
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Yadong WangDepartment of Toxicology, Henan Center for Disease Control and Prevention, Zhengzhou, China.ORCID 0000-0003-3919-1759
Ruo FengDepartment of Histology and Embryology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China.
Jie XuDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Hongjie HouDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-4793-8974
Huifen FengDepartment of Infectious Diseases, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Haiyan YangDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-1797-304X
Zhengzhou University · CNFifth Affiliated Hospital of Zhengzhou University · CNHenan Provincial Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19TuberculosisHumansRisk FactorsSARS-CoV-2Severity of Illness IndexCOVID-19meta-analysismortalityseveritytuberculosis

Identifiers

PMID34061374
PMCPMC8242817
OpenAlexW3164010154

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.