Evidence map›Paper›PMID 38058762›Full record

ArticleSaudi journal of biological sciences2023

Identification and specificity validation of unique and antimicrobial resistance genes to trace suspected pathogenic AMR bacteria and to monitor the development of AMR in non-AMR strains in the environment and clinical settings.

Bhagwan Narayan Rekadwad, Nanditha Pramod, Manik Prabhu Narsing Rao, Abeer Hashem, Graciela Dolores Avila-Quezada, Elsayed Fathi Abd Allah

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

Article in Saudi journal of biological sciences, 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
0.8field-weighted citation impact, top 25% 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, 4 citations in OpenAlex.

  1. 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

6 authors at 5 institutions in 4 countries.

Bhagwan Narayan RekadwadMicrobe AI Lab, Department of Microbiology and Biotechnology, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, Karnataka, India.
Nanditha PramodDepartment of Biochemistry and Molecular Biology, Pondicherry University, Pondicherry 605014, India.
Manik Prabhu Narsing RaoInstituto de Ciencias Químicas Aplicadas, Facultad de Ingeniería, Universidad Autónoma de Chile, Sede Talca, Talca 3460000, Chile.
Abeer HashemBotany and Microbiology Department, College of Science, King Saud University, P.O. Box. 2460, Riyadh 11451, Saudi Arabia.
Graciela Dolores Avila-QuezadaFacultad de Ciencias Agrotecnológicas, Universidad Autónoma de Chihuahua, 31350 Chihuahua, Chihuahua, México.
Elsayed Fathi Abd AllahPlant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box. 2460, Riyadh 11451, Saudi Arabia.
King Saud University · SAAutonomous University of Chihuahua · MXPondicherry University · INUniversidad Autónoma de Chile · CLYenepoya University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of developing antimicrobial resistance (AMR) has become a global issue. The detection of developing antimicrobial resistance has become a global issue. The growing number of AMR bacteria poses a new threat to public health. Therefore, a less laborious and quick confirmatory test becomes important for further investigations into developing AMR in the environment and in clinical settings. This study aims to present a comprehensive analysis and validation of unique and antimicrobial-resistant strains from the WHO priority list of antimicrobial-resistant bacteria and previously reported AMR strains such as

Indexed as

Antimicrobial resistanceGenome-based detection methodMolecular detection of pathogenic bacteriaMultiplex PCRPathogenic bacterial strainsStrain-specific genes

Identifiers

PMID38058762
PMCPMC10696110
OpenAlexW4388304200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.