Evidence map›Paper›PMID 39837975›Full record

ArticleThe Journal of antibiotics2025

Investigating the validity of mCIM and sCIM phenotypic methods in screening Pseudomonas aeruginosa isolates producing IMP, VIM, and NDM metallo-beta-lactamases isolated from burn wounds.

Hossein Hatami, Shiva Motamedi, Ghazaleh Talebi, Mojdeh Hakemi-Vala

Abstract read
PubMed Publisher
In one paragraph

Article in The Journal of antibiotics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Hossein HatamiDepartment of Public Health, School of Public Health & Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shiva MotamediDepartment of Public Health, School of Public Health & Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-2118-848X
Ghazaleh TalebiDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Mojdeh Hakemi-ValaDepartment of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. mojdeh_hakemi@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metallo-beta-lactamase-producing Pseudomonas aeruginosa (P. aeruginosa) is a major pathogen in burn wounds, often exhibiting high levels of antibiotic resistance, which complicates treatment strategies. This study deals with the validity of the modified Carbapenem Inactivation Method (mCIM) and the simplified Carbapenem Inactivation Method (sCIM) phenotypic tests for screening metallo-beta-lactamase (MBL) production by P. aeruginosa isolates from a referral burn center in Iran. Forty isolates were obtained between January and June 2021 and identified using conventional biochemical methods. Antimicrobial susceptibility testing was conducted following Clinical and Laboratory Standards Institute (CLSI) 2021 guidelines. mCIM based on CLSI 2023 guidelines was used to detect carbapenemase production. sCIM was also used based on previously developed protocols. PCR was performed to detect bla

Indexed as

Anti-Bacterial Agentsbeta-LactamasesBurnsCarbapenemsMicrobial Sensitivity TestsPseudomonas aeruginosaPseudomonas InfectionsBacterial ProteinsDrug Resistance, Multiple, BacterialHumansIranMalePhenotypeAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasescarbapenemaseCarbapenems

Identifiers

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.