Evidence map›Paper›PMID 30024110›Full record

ReviewBiotechnology journal2019

Identification and Antibiotic-Susceptibility Profiling of Infectious Bacterial Agents: A Review of Current and Future Trends.

Gaetano Maugeri, Iana Lychko, Rita Sobral, Ana C A Roque

Abstract readReview
In one paragraph

Review in Biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 1 pooled it
–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

67 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Occurrence of Phenotypic Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Article
  6. Antibacterial properties ofFrontiers in pharmacology · 2026
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. From Species to Genes: A New Diagnostic Paradigm.Antibiotics (Basel, Switzerland) · 2024
    Review
  20. Article

7 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.

Gaetano MaugeriUCIBIO, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2819-516, Caparica, Portugal.
Iana LychkoUCIBIO, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2819-516, Caparica, Portugal.
Rita SobralUCIBIO, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2819-516, Caparica, Portugal.
Ana C A RoqueUCIBIO, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2819-516, Caparica, Portugal.ORCID https://orcid.org/0000-0002-4586-3024

Funding

ERDF POCI-01-0145-FEDER-007728European Research Council 639123European Research Council SCENT-ERC-2014-STG-639123 (2015-2020)The Unidade de Ciências Biomoleculares Aplicadas-UCIBIO FCT/MEC (UID/Multi/04378/2013)
6 · The paper itself

Abstract

Antimicrobial resistance is one of the most worrying threats to humankind with extremely high healthcare costs associated. The current technologies used in clinical microbiology to identify the bacterial agent and profile antimicrobial susceptibility are time-consuming and frequently expensive. As a result, physicians prescribe empirical antimicrobial therapies. This scenario is often the cause of therapeutic failures, causing higher mortality rates and healthcare costs, as well as the emergence and spread of antibiotic resistant bacteria. As such, new technologies for rapid identification of the pathogen and antimicrobial susceptibility testing are needed. This review summarizes the current technologies, and the promising emerging and future alternatives for the identification and profiling of antimicrobial resistance bacterial agents, which are expected to revolutionize the field of clinical diagnostics.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialDrug Resistance, MicrobialMicrobial Sensitivity TestsAnti-Bacterial Agentsantimicrobial resistanceantimicrobial susceptibility profilingbacteria identificationclinical microbiologydiagnostic methodsinfectious diseases

Identifiers

PMID30024110
PMCPMC6330097

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.