Evidence map›Paper›PMID 32654052›Full record

ReviewMolecular biology reports2020

Metallo-ß-lactamases: a review.

Payam Behzadi, Herney Andrés García-Perdomo, Tomasz M Karpiński, Lernik Issakhanian

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
4.7field-weighted citation impact, top 3% 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

78 citing papers in PubMed, 116 citations in OpenAlex.

  1. Article
  2. Article
  3. Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Carbapenem-ResistantMicroorganisms · 2025
    Review
  11. Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 3 countries.

Payam BehzadiDepartment of Microbiology, College of Basic Sciences, Shahr-e-Qods Branch, Islamic Azad University, Fath Highway, Shahr-e-Qods, End of Shahid Kalhor Blvd, Post Box: 37541-374, Tehran, Iran. behzadipayam@yahoo.com.ORCID http://orcid.org/0000-0001-5441-3976
Herney Andrés García-PerdomoSchool of Medicine, UROGIV Research Group, Universidad del Valle, Cali, Colombia.ORCID http://orcid.org/0000-0001-6945-8261
Tomasz M KarpińskiChair and Department of Medical Microbiology, Poznań University of Medical Sciences, Wieniawskiego 3, 61-712, Poznań, Poland.ORCID http://orcid.org/0000-0001-6599-9204
Lernik IssakhanianIndependent Researcher, Yerevan, Armenia.
Islamic Azad University, Shahr-e-Qods Branch · IRPoznan University of Medical Sciences · PLUniversidad del Valle · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial pathogens including Enterobacteriaceae family members bear different antibiotic resistance genes comprising Extended-Spectrum-ß-Lactamases (ESBLs) and Metallo-ß-Lactamases (MBLs) on their chromosomes and mobile genetic elements such as plasmids and transposons. Because of the clinical concern regarding MBLs in global public healthcare system, this review focuses on different characteristics of MBLs. For preparing this review article, different databases, websites and search engines such as MEDLINE, SCOPUS, SCIENCEDIRECT and GOOGLE SCHOLAR were searched via MeSH keywords of Enterobacteriaceae, Escherichia coli, Klebsiella pneumoniae, MBL and Bioinformatics. Different types of papers comprising review articles and original articles which were published between the years of 1980 and 2020 were searched, studied and selected by the authors. The results show that, the importance of the spread of MBLs among microbial pathogens may lead to progressive studies for definite treatment. The use of computational biology and chemistry and bioinformatics has had effective consequences on recognition and identification of different properties of MBLs. The application of bioinformatic software tools and databases gives us a great promise regarding production of effective inhibitors against MBLs to have a definite treatment.

Indexed as

AnimalsAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesComputational BiologyDrug Resistance, BacterialEnterobacteriaceaeEnterobacteriaceae InfectionsHumansModels, MolecularAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesBioinformaticsEnterobacteriaceaeEscherichia coliKlebsiella pneumoniaeMetallo-Beta-Lactamase

Identifiers

PMID32654052
OpenAlexW3040818428

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.