Evidence map›Paper›PMID 32317050›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2020

Coronavirus disease (COVID-19): a scoping review.

Meng Lv, Xufei Luo, Janne Estill, Yunlan Liu, Mengjuan Ren, Jianjian Wang, Qi Wang, Siya Zhao, Xiaohui Wang, Shu Yang and 12 more

Abstract readScoping Review
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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

  1. Pooled it
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  12. Interventional research to tackle antimicrobial resistance in Low Middle Income Countries in the era of the COVID-19 pandemic: lessons in resilience from an international consortium.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  13. Article
  14. Article
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  17. The glycosylation in SARS-CoV-2 and its receptor ACE2.Signal transduction and targeted therapy · 2021
    Review
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  19. Article
  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

22 authors.

Meng LvSchool of Public Health, Lanzhou University, Lanzhou, China.
Xufei LuoSchool of Public Health, Lanzhou University, Lanzhou, China.
Janne EstillInstitute of Global Health, University of Geneva, Geneva, Switzerland.
Yunlan LiuSchool of Public Health, Lanzhou University, Lanzhou, China.
Mengjuan RenSchool of Public Health, Lanzhou University, Lanzhou, China.
Jianjian WangSchool of Public Health, Lanzhou University, Lanzhou, China.
Qi WangDepartment of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Canada.
Siya ZhaoSchool of Public Health, Lanzhou University, Lanzhou, China.
Xiaohui WangSchool of Public Health, Lanzhou University, Lanzhou, China.
Shu YangCollege of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xixi FengSchool of Public Health, Chengdu Medical College, Chengdu, China.
Weiguo LiChongqing Key Laboratory of Pediatrics, Chongqing, China.
Enmei LiuChongqing Key Laboratory of Pediatrics, Chongqing, China.
Xianzhuo ZhangThe First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
Ling WangSchool of Public Health, Lanzhou University, Lanzhou, China.
Qi ZhouThe First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
Wenbo MengThe First Hospital of Lanzhou University, Lanzhou, China.
Xiaolong QiThe First Hospital of Lanzhou University, Lanzhou, China.
Yangqin XunEvidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Xuan YuEvidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Yaolong ChenWorld Health Organization (WHO) Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou, China.
COVID-19 evidence and recommendations working groupThe study collaborators are acknowledged at the end of the article.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundIn December 2019, a pneumonia caused by a novel coronavirus (SARS-CoV-2) emerged in Wuhan, China and has rapidly spread around the world since then.AimThis study aims to understand the research gaps related to COVID-19 and propose recommendations for future research.MethodsWe undertook a scoping review of COVID-19, comprehensively searching databases and other sources to identify literature on COVID-19 between 1 December 2019 and 6 February 2020. We analysed the sources, publication date, type and topic of the retrieved articles/studies.ResultsWe included 249 articles in this scoping review. More than half (59.0%) were conducted in China. Guidance/guidelines and consensuses statements (n = 56; 22.5%) were the most common. Most (n = 192; 77.1%) articles were published in peer-reviewed journals, 35 (14.1%) on preprint servers and 22 (8.8%) posted online. Ten genetic studies (4.0%) focused on the origin of SARS-CoV-2 while the topics of molecular studies varied. Nine of 22 epidemiological studies focused on estimating the basic reproduction number of COVID-19 infection (R

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralCOVID-19HumansRandomized Controlled Trials as Topiccommunicable diseasescoronavirus infectionsCOVID-19global health emergencypandemicsSARS-CoV-2scoping review

Identifiers

PMID32317050
PMCPMC7175649

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.