Evidence map›Paper›PMID 36445076›Full record

ArticleMicrobiology spectrum2022

Detection of Antimalarial Resistance-Associated Mutations in Plasmodium falciparum via a Platform of Allele-Specific PCR Combined with a Gold Nanoparticle-Based Lateral Flow Assay.

Weijia Cheng, Wei Wang, Huiyin Zhu, Xiaonan Song, Kai Wu, Jian Li

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

6 authors at 3 institutions in 1 country.

Weijia Cheng *School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, China.
Wei Wang *Key Laboratory of National Health Commission on Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, China.
Huiyin ZhuSchool of Basic Medical Sciences, Hubei University of Medicine, Shiyan, China.
Xiaonan SongSchool of Basic Medical Sciences, Hubei University of Medicine, Shiyan, China.
Kai WuDepartment of Schistosomiasis and Endemic Diseases, Wuhan City Center for Disease Prevention and Control, Wuhan, China.
Jian LiSchool of Basic Medical Sciences, Hubei University of Medicine, Shiyan, China.ORCID 0000-0001-9434-7803
Hubei University of Medicine · CNJiangsu Institute of Parasitic Diseases · CNWuhan Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since single nucleotide polymorphisms (SNPs) have attracted attention, there have been many explorations and improvements in screening and detection methods for SNPs. Traditional methods are complex and time-consuming and rely on expensive instruments. Therefore, there is an urgent need for a low-cost, simple, and accurate method that is convenient for use in resource-poor areas. Thus, a platform based on allele-specific PCR (AS-PCR) and a gold nanoparticle-based lateral flow assay (LFA) was developed, optimized, and used to detect the SNPs of the drug resistance gene

Indexed as

AntimalarialsMetal NanoparticlesPlasmodium falciparumAllelesATP-Binding Cassette, Sub-Family C ProteinsDrug ResistanceGoldMutationPolymerase Chain ReactionProtozoan ProteinsAntimalarialsATP-Binding Cassette, Sub-Family C ProteinsGoldProtozoan Proteinsantimalarial drug resistancemalariamutationPfmdr1Plasmodium falciparum

Identifiers

PMID36445076
PMCPMC9769821
OpenAlexW4310456520

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.