Evidence map›Paper›PMID 36646920›Full record

ArticleInternational microbiology : the official journal of the Spanish Society for Microbiology2023

Development of diagnostic tests for pathogen identification and detection of antimicrobial resistance on WHO global priority pathogens using modular real-time nucleic acid amplification test.

Eunsik Bang, Sujin Oh, Hee Won Cho, Da-Ha Park, Ho Eun Chang, Jeong Su Park, Hyunju Lee, Kyoung-Ho Song, Eu Suk Kim, Hong Bin Kim and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in International microbiology : the official journal of the Spanish Society for Microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

12 authors at 2 institutions in 2 countries.

Eunsik BangSeoul National University College of Medicine, Seoul, Republic of Korea.
Sujin OhDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hee Won ChoSeoul National University College of Medicine, Seoul, Republic of Korea.
Da-Ha ParkDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ho Eun ChangPHiCS Institute, Seoul, Republic of Korea.
Jeong Su ParkDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hyunju LeeDepartment of Pediatrics, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.
Kyoung-Ho SongDepartment of Internal Medicine, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.
Eu Suk KimDepartment of Internal Medicine, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.
Hong Bin KimDepartment of Internal Medicine, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.
Young Ho SuhDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
Kyoung Un ParkDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. m91w95pf@snu.ac.kr.
Seoul National University Bundang Hospital · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConcerns regarding antimicrobial resistance (AMR) have resulted in the World Health Organization (WHO) designating so-called global priority pathogens (GPPs). However, little discussion has focused on the diagnosis of GPPs. To enable the simultaneous identification of pathogens and AMR, we developed a modular real-time nucleic acid amplification test (MRT-NAAT).

methodsSequence-specific primers for each modular unit for MRT-NAAT pathogen identification and AMR sets were designed. The composition of the reaction mixture and the real-time PCR program were unified irrespective of primer type so to give MRT-NAAT modularity. Standard strains and clinical isolates were used to evaluate the performance of MRT-NAAT by real-time PCR and melting curve analysis. Probit analysis for the MRT-NAAT pathogen identification set was used to assess the limit of detection (LoD).

resultsThe MRT-NAAT pathogen identification set was made up of 15 modular units 109-199 bp in product size and with a T

conclusionsMRT-NAAT enables pathogen identification and AMR gene detection and is time-effective. By unifying the reaction settings of each modular unit, the modularity where combinations of primers can be used according to need could be achieved. This would greatly help in reflecting the researcher's need and the AMR status of a certain region while successfully detecting pathogens and AMR genes.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialDiagnostic Tests, RoutineNucleic Acid Amplification TechniquesWorld Health OrganizationAnti-Bacterial AgentsAntimicrobial resistanceDiagnosisModularityNucleic acid amplification testPathogen identificationReal-timeWHO global priority pathogens

Identifiers

PMID36646920
OpenAlexW4316669758

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.