Evidence map›Paper›PMID 35678141›Full record

ArticleEmerging microbes & infections2022

Human parainfluenza 3 and respiratory syncytial viruses detected in pangolins.

Tengcheng Que, Jing Li, Yugan He, Panyu Chen, Wei Lin, Meihong He, Lei Yu, Aiqiong Wu, Luohao Tan, Yingjiao Li and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Emerging microbes & infections, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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 3 institutions in 1 country.

Tengcheng QueGuangxi Zhuang Autonomous Region Terrestrial Wildlife Medical-aid and Monitoring Epidemic Diseases Research Center, Nanning, P.R. People's Republic of China.
Jing LiBeijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, P. R. People's Republic of China.
Yugan HeBeijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, P. R. People's Republic of China.
Panyu ChenGuangxi Zhuang Autonomous Region Terrestrial Wildlife Medical-aid and Monitoring Epidemic Diseases Research Center, Nanning, P.R. People's Republic of China.
Wei LinBeijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, P. R. People's Republic of China.
Meihong HeGuangxi Zhuang Autonomous Region Terrestrial Wildlife Medical-aid and Monitoring Epidemic Diseases Research Center, Nanning, P.R. People's Republic of China.
Lei YuGuangxi Zhuang Autonomous Region Terrestrial Wildlife Medical-aid and Monitoring Epidemic Diseases Research Center, Nanning, P.R. People's Republic of China.
Aiqiong WuGuangxi Zhuang Autonomous Region Terrestrial Wildlife Medical-aid and Monitoring Epidemic Diseases Research Center, Nanning, P.R. People's Republic of China.
Luohao TanGuangxi Zhuang Autonomous Region Terrestrial Wildlife Medical-aid and Monitoring Epidemic Diseases Research Center, Nanning, P.R. People's Republic of China.
Yingjiao LiGuangxi Zhuang Autonomous Region Terrestrial Wildlife Medical-aid and Monitoring Epidemic Diseases Research Center, Nanning, P.R. People's Republic of China.
Yanling HuSchool of Information and Management, Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, P. R. People's Republic of China.
Yigang TongBeijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, P. R. People's Republic of China.
Guangxi Center for Disease Prevention and Control · CNBeijing University of Chemical Technology · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pangolins have gained increasing global attention owing to their public health significance as potential zoonotic hosts since the identification of SARS-CoV-2-related viruses in them. Moreover, these animals could carry other respiratory viruses. In this study, we investigated the virome composition of 16 pangolins that died in 2018 with symptoms of pneumonia using metagenomic approaches. A total of eight whole virus sequences belonging to the

Indexed as

COVID-19Paramyxoviridae InfectionsRespiratory Syncytial Virus, HumanAnimalsHumansPangolinsParainfluenza Virus 3, HumanPhylogenySARS-CoV-2human respiratory diseasesMetagenomic sequencingPangolinvirus transmission vectorzoonotic diseases

Identifiers

PMID35678141
PMCPMC9225696
OpenAlexW4281704057

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.