Evidence map›Paper›PMID 37334745›Full record

ArticleEmerging microbes & infections2023

Assessment and sero-diagnosis for coronaviruses with risk of human spillover.

Xiao-Shuang Zheng, Qi Wang, Ting-Ting Xie, Hao-Rui Si, Wei Zhang, Yan Zhu, Ang Li, Jia Su, Zheng-Li Shi, Peng Zhou

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Identification of broad-spectrum MJournal of enzyme inhibition and medicinal chemistry · 2025
    Article
  2. Article
  3. Article
  4. Advances in virus-like particle-based SARS-CoV-2 vaccines.Frontiers in cellular and infection microbiology · 2024
    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

10 authors at 1 institution in 1 country.

Xiao-Shuang ZhengCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, People's Republic of China.
Qi WangCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, People's Republic of China.
Ting-Ting XieCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, People's Republic of China.
Hao-Rui SiCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, People's Republic of China.
Wei ZhangCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, People's Republic of China.
Yan ZhuCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, People's Republic of China.
Ang LiCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, People's Republic of China.
Jia SuCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, People's Republic of China.
Zheng-Li ShiCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, People's Republic of China.
Peng ZhouCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, People's Republic of China.ORCID 0000-0001-9863-4201
Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonotic coronaviruses (CoVs) caused major human outbreaks in the last two decades. One of the biggest challenges during future CoV disease is ensuring rapid detection and diagnosis at the early phase of a zoonotic event, and active surveillance to the zoonotic high-risk CoVs appears the best way at the present time to provide early warnings. However, there is neither an evaluation of spillover potential nor diagnosis tools for the majority of CoVs. Here, we analyzed the viral traits, including population, genetic diversity, receptor and host species for all 40 alpha- and beta-CoV species, where the human-infecting CoVs are from. Our analysis proposed 20 high-risk CoV species, including 6 of which jumped to human, 3 with evidence of spillover but not to human and 11 without evidence of spillover yet, which prediction were further supported by an analysis of the history of CoV zoonosis. We also found three major zoonotic sources: multiple bat-origin CoV species, the rodent-origin sub-genus

Indexed as

ChiropteraCoronavirusCoronavirus InfectionsAnimalsBetacoronavirusHumansPhylogenyRabbitsSwineZoonosesbatsCoronavirusrisk assessmentserologyspilloverzoonosis

Identifiers

PMID37334745
PMCPMC10332221
OpenAlexW4381158300

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.