Evidence map›Paper›PMID 37275136›Full record

ArticleFrontiers in microbiology2023

Development of a universal real-time RT-PCR assay for detection of pan-SARS-coronaviruses with an RNA-based internal control.

Beibei Yu, Changping Xu, Shiwang Huang, Jun Ni, Jiancang Zhou, Yuting Zhang, Maomao Wu, Jun Zhang, Lei Fang

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

Article in Frontiers in microbiology, 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
0.6field-weighted citation impact, top 35% 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, 3 citations in OpenAlex.

  1. Usambarensine fromACS omega · 2026
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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

9 authors at 4 institutions in 1 country.

Beibei Yu *Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University College of Medicine, Hangzhou, China.
Changping Xu *Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Shiwang Huang *Shangcheng District Center for Disease Control and Prevention, Hangzhou, China.
Jun NiDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University College of Medicine, Hangzhou, China.
Jiancang ZhouDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University College of Medicine, Hangzhou, China.
Yuting ZhangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Maomao WuWenzhou Center for Disease Control and Prevention, Wenzhou, China.
Jun ZhangDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University College of Medicine, Hangzhou, China.
Lei FangDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University College of Medicine, Hangzhou, China.
Zhejiang University · CNSir Run Run Shaw Hospital · CNZhejiang Center for Disease Control and Prevention · CNHangzhou Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exemplifies the critical need for rapid diagnostic assays to prompt intensified virological monitoring both in human and wild animal populations. To date, there are no clinical validated assays for pan-SARS-coronavirus (pan-SARS-CoV) detection. Here, we suggest an innovative primer design strategy for the diagnosis of pan-SARS-CoVs targeting the envelope (

Indexed as

animal coronavirusesCOVID-19molecular diagnosticsreal-time RT-PCRSARSSARS-CoV-2

Identifiers

PMID37275136
PMCPMC10232947
OpenAlexW4377023251

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.