Evidence map›Paper›PMID 31354944›Full record

ReviewF1000Research2019

Investigating colistin drug resistance: The role of high-throughput sequencing and bioinformatics.

Dickson Aruhomukama, Ivan Sserwadda, Gerald Mboowa

Open access · goldAbstract readReview
In one paragraph

Review in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Emergence ofmSystems · 2020
    Article
  3. 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

3 authors at 1 institution in 1 country.

Dickson AruhomukamaDepartment of Medical Microbiology, College of Health Sciences, School of Biomedical Sciences, Makerere University, Kampala, 7072, Uganda.ORCID 0000-0003-4643-3162
Ivan SserwaddaDepartment of Immunology and Molecular Biology, College of Health Sciences, School of Biomedical Sciences, Makerere University, Kampala, 7072, Uganda.ORCID 0000-0001-7785-7297
Gerald MboowaDepartment of Medical Microbiology, College of Health Sciences, School of Biomedical Sciences, Makerere University, Kampala, 7072, Uganda.ORCID 0000-0001-8445-9414
Makerere University · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial infections involving antibiotic-resistant gram-negative bacteria continue to increase and represent a major global public health concern. Resistance to antibiotics in these bacteria is mediated by chromosomal and/or acquired resistance mechanisms, these give rise to multi-drug resistant (MDR), extensive-drug resistant (XDR) or pan-drug resistant (PDR) bacterial strains. Most recently, plasmid-mediated resistance to colistin, an antibiotic that had been set apart as the last resort antibiotic in the treatment of infections involving MDR, XDR and PDR gram-negative bacteria has been reported. Plasmid-mediated colistin resistant gram-negative bacteria have been described to be PDR, implying a state devoid of alternative antibiotic therapeutic options. This review concisely describes the evolution of antibiotic resistance to plasmid-mediated colistin resistance and discusses the potential role of high-throughput sequencing technologies, genomics, and bioinformatics towards improving antibiotic resistance surveillance, the search for novel drug targets and precision antibiotic therapy focused at combating colistin resistance, and antibiotic resistance as a whole.

Indexed as

Anti-Bacterial AgentsColistinComputational BiologyDrug Resistance, BacterialGram-Negative BacteriaHigh-Throughput Nucleotide SequencingAnti-Bacterial AgentsColistinAntibiotic resistanceBioinformaticsColistin resistanceGenomicsGram negative bacteriaPan-drug resistance

Identifiers

PMID31354944
PMCPMC6635981
OpenAlexW2911383788

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.