Evidence map›Paper›PMID 34504360›Full record

ReviewJNMA; journal of the Nepal Medical Association2020

Clinical Profile of COVID-19 in Children and Research Progress on Angiotensin-converting Enzyme 2: A Mini-review.

Qian Gao, Jing Liu, Zhilong Mu, Xianpeng Yan, Jay Narayan Shah, Fuyong Jiao

Open access · diamondAbstract readReview
In one paragraph

Review in JNMA; journal of the Nepal Medical Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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 at 3 institutions in 2 countries.

Qian GaoXi’an Medical University, Xi’an, China.
Jing LiuXi’an Medical University, Xi’an, China.
Zhilong MuChildren's Hospital of Shaanxi Provincial People's Hospital, 3rd Affiliated Hospital of Medical College of Xi’an Jiaotong University, Xi’an Shanxi, China.
Xianpeng YanChildren's Hospital of Shaanxi Provincial People's Hospital, 3rd Affiliated Hospital of Medical College of Xi’an Jiaotong University, Xi’an Shanxi, China.
Jay Narayan ShahPatan Hospital, Patan Academy of Health Sciences, Lalitpur, Kathmandu, Nepal.
Fuyong JiaoChildren's Hospital of Shaanxi Provincial People's Hospital, 3rd Affiliated Hospital of Medical College of Xi’an Jiaotong University, Xi’an Shanxi, China.
Shaanxi Provincial People's Hospital · CNXi'an Medical University · CNPatan Academy of Health Sciences · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cases of coronavirusdisease 2019 in children have been increasing with the ongoing pandemic.The finding suggests children have mild symptoms and a short course of the disease. Angiotensinconverting enzyme-2 mediates entry of the virus into the cell, the combination of virus and ACE2 leads to an increase in activity of angiotensin II, resulting in acute injury to lungs, myocardium and other organs. The infection causes down-regulation of ACE2 expression. The ACE2 plays an important role in the infection progression and clinical characteristics of COVID-19. Works on ACE2 and virus spike protein have future prospects of strategic information on prevention, management as well as vaccine development. Keywords: children;Coronavirus Disease 2019(COVID-19);SARS-Cov-2;angiotensin-Converting Enzyme 2 (ACE2).

Indexed as

Angiotensin-Converting Enzyme 2COVID-19ChildHumansPandemicsPeptidyl-Dipeptidase ASARS-CoV-2Angiotensin-Converting Enzyme 2Peptidyl-Dipeptidase A

Identifiers

PMID34504360
PMCPMC7654480
OpenAlexW3094405913

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.