Evidence map›Paper›PMID 41775887›Full record

ArticleScientific reports2026

Multiplex real-time PCR with high-resolution melting analysis for rapid identification of carbapenem and colistin resistance genes in clinical Enterobacterales isolates.

Sirirat Luk-In, Kamonrat Phopin, Sasina Bangmuangngam, Tanittha Chatsuwan, Dhammika Leshan Wannigama, Aye Mya Sithu Shein, Ratana Lawung, Tanawut Tantimongcolwat

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. 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
–field-weighted citation impact
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.

  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

8 authors.

Sirirat Luk-InDepartment of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Nakhon Pathom, Thailand.
Kamonrat PhopinDepartment of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Nakhon Pathom, Thailand.
Sasina BangmuangngamDepartment of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Nakhon Pathom, Thailand.
Tanittha ChatsuwanDepartment of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Dhammika Leshan WannigamaDepartment of Infectious Diseases, Faculty of Medicine, Yamagata University, Yamagata, Japan.
Aye Mya Sithu SheinDepartment of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Ratana LawungDepartment of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Nakhon Pathom, Thailand.
Tanawut TantimongcolwatCenter for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Nakhon Pathom, Thailand. tanawut.tan@mahidol.ac.th.

Funding

the National Research Council of Thailand (NRCT) N42A660963
6 · The paper itself

Abstract

Conventional susceptibility testing requires 18-48 h and often delays therapy, whereas existing molecular assays are costly and limited. Real-time PCR's ubiquity in hospitals offers a rapid multiplex screening platform. We established a single-tube multiplex real-time PCR assay coupled with high-resolution melting analysis to detect seven resistance genes (bla

Indexed as

CarbapenemsColistinDrug Resistance, BacterialEnterobacteriaceaeMultiplex Polymerase Chain ReactionReal-Time Polymerase Chain ReactionAnti-Bacterial Agentsbeta-LactamasesEnterobacteriaceae InfectionsHumansMicrobial Sensitivity TestsSensitivity and SpecificityAnti-Bacterial Agentsbeta-LactamasesCarbapenemsColistinCarbapenemase geneEnterobacteralesmcrMultiplex detection assay

Identifiers

PMID41775887
PMCPMC13065742

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Registered trials

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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.