Evidence map›Paper›PMID 37486370›Full record

ArticleAnalytical and bioanalytical chemistry2023

A culture-free method for rapidly and accurately quantifying active SARS-CoV-2.

Yi Yang, Xiaoli Feng, Yang Pan, Xia Wang, Tao Peng, Chunyan Niu, Wang Qu, Qingcui Zou, Lianhua Dong, Xinhua Dai and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. 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
0.6field-weighted citation impact, top 34% 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, 3 citations in OpenAlex.

  1. 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 4 institutions in 1 country.

Yi Yang *Center for Advanced Measurement of Science, National Institute of Metrology, Beijing, 100029, China.
Xiaoli Feng *Kunming National High-Level Biosafety Research Center for Non-Human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650107, Yunnan, China.
Yang Pan *Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Control and Prevention, Beijing, 100029, China.
Xia WangCenter for Advanced Measurement of Science, National Institute of Metrology, Beijing, 100029, China.
Tao PengCenter for Advanced Measurement of Science, National Institute of Metrology, Beijing, 100029, China.
Chunyan NiuCenter for Advanced Measurement of Science, National Institute of Metrology, Beijing, 100029, China.
Wang QuShenzhen Institute for Technology Innovation, National Institute of Metrology, Shenzhen, 518107, China.
Qingcui ZouShenzhen Institute for Technology Innovation, National Institute of Metrology, Shenzhen, 518107, China.
Lianhua DongCenter for Advanced Measurement of Science, National Institute of Metrology, Beijing, 100029, China. donglh@nim.ac.cn.
Xinhua DaiCenter for Advanced Measurement of Science, National Institute of Metrology, Beijing, 100029, China. daixh@nim.ac.cn.
Minghua LiShenzhen Institute for Technology Innovation, National Institute of Metrology, Shenzhen, 518107, China. limh@mail.kiz.ac.cn.
Xiang FangCenter for Advanced Measurement of Science, National Institute of Metrology, Beijing, 100029, China. fangxiang@nim.ac.cn.
National Institute of Metrology · CNBeijing Center for Disease Prevention and Control · CNChinese Academy of Sciences · CNShenzhen Institute of Information Technology · CN

Funding

Basic scientific research project of National institute of metrology ZYZJ2001Major Science and Technique Programs in Yunnan Province 202102AA310055
6 · The paper itself

Abstract

Determining the quantity of active virus is the most important basis to judge the risk of virus infection, which usually relies on the virus median tissue culture infectious dose (TCID

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansRNA, ViralSubgenomic RNARNA, ViralSubgenomic RNACulture-freeDigital PCRSARS-CoV-2Subgenomic RNA

Identifiers

PMID37486370
OpenAlexW4385185831

What OpenQuestion holds

Textmetadata
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.