Evidence map›Paper›PMID 35448309›Full record

ArticleBiosensors2022

A Simple and Universal Nucleic Acid Assay Platform Based on Personal Glucose Meter Using SARS-CoV-2 N Gene as the Model.

Tian Li, Rui Pan, Yuhan Wen, Jiaqi Xu, Liping Zhang, Suna He, Gaofeng Liang

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

7 authors at 1 institution in 1 country.

Tian LiSchool of Basic Medical Sciences, Henan University of Science and Technology, Luoyang 471023, China.
Rui PanSchool of Basic Medical Sciences, Henan University of Science and Technology, Luoyang 471023, China.
Yuhan WenSchool of Basic Medical Sciences, Henan University of Science and Technology, Luoyang 471023, China.
Jiaqi XuSchool of Basic Medical Sciences, Henan University of Science and Technology, Luoyang 471023, China.
Liping ZhangSchool of Basic Medical Sciences, Henan University of Science and Technology, Luoyang 471023, China.
Suna HeSchool of Basic Medical Sciences, Henan University of Science and Technology, Luoyang 471023, China.
Gaofeng LiangSchool of Basic Medical Sciences, Henan University of Science and Technology, Luoyang 471023, China.
Henan University of Science and Technology · CN

Funding

Doctoral Startup Foundation of Henan University of Science and Technology 13480042Innovation Scientists and Technicians Troop Construction Projects of Henan Province CXTD2017071National Natural Science Foundation of China U1804193Natural Science Foundation of Henan Province of China 202300410128Natural Science Foundation of Henan Province of China 202300410145Scientific and Technological Project of Henan Province 212102311038
6 · The paper itself

Abstract

A simple, selective, and quantitative platform for point-of-care diagnostic of COVID-19 is urgently needed as a complement in areas where resources are currently relatively scarce. To meet the needs of early diagnosis and intervention, a proof-of-concept demonstration of a universal personal glucose meter-based nucleic acid assay platform (PGM-NAAP) is presented, which converts to SARS-CoV-2 detection from glucose detection. By using magnetic bead separation together with the hand-held PGM for quantitative readout, PGM-NAAP achieves the 98 pM limit of detection for a sequence related to SARS-CoV-2. The ability to discriminate target nucleic acid from genomic DNA, the satisfactory spike recoveries of saliva and serum samples, as well as the good stability all together suggest the potential of the PGM-NAAP for the screening and diagnosis of suspected patients during the outbreaks of COVID-19 in resource-limited settings without sophisticated instruments. On the basis of these findings, PGM-NAAP can be expected to provide an accurate and convenient path for diagnosis of disease-associated nucleic acid.

Indexed as

COVID-19Nucleic AcidsGlucoseHumansNucleic Acid Amplification TechniquesPoint-of-Care SystemsSARS-CoV-2GlucoseNucleic Acidsin vitro detectionnucleic acid assaypersonal glucose meterSARS-CoV-2

Identifiers

PMID35448309
PMCPMC9025369
OpenAlexW4223905951

What OpenQuestion holds

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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.