Evidence map›Paper›PMID 33531820›Full record

ArticleInfection and drug resistance2021

Analysis of Antibiotic Resistance and Virulence Traits (Genetic and Phenotypic) in

Wajiha Imtiaz, Zainab Syed, Zara Rafaque, Simon Colin Andrews, Javid Iqbal Dasti

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Genome sequences of four virulentMicrobiology resource announcements · 2026
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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

5 authors at 3 institutions in 2 countries.

Wajiha Imtiaz *Department of Microbiology, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan.
Zainab Syed *Department of Microbiology, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan.
Zara RafaqueDepartment of Microbiology, Hazara University, Mansehra, Pakistan.ORCID 0000-0002-1685-5842
Simon Colin AndrewsSchool of Biological Sciences, Whiteknights, University of Reading, Reading RG6 6AJ, UK.
Javid Iqbal DastiDepartment of Microbiology, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan.ORCID 0000-0002-4277-1650
Quaid-i-Azam University · PKHazara University · PKUniversity of Reading · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of carbapenem-resistant and hypervirulent hypermucoviscous

methodsSusceptibility profiling and phenotypic analysis were performed according to the CLSI guidelines. Genetic determinants of antibiotic resistance and virulence were detected by PCR. Biofilm formation analysis was performed by microtiter plate assay.

resultsThe isolates displayed a high degree of antibiotic resistance: 36% MDR-CRKP; 38% carbapenem resistance; 55% gentamicin resistance; 53% ciprofloxacin resistance; and 59% aztreonam resistance. In particular, the level of resistance against fosfomycin (22%) and colistin (15%) is consistent with previous reports of increased resistance levels. Combined resistance to carbapenem and colistin was 7%. Genetic factors associated with colistin resistance (

conclusionThis report highlights carbapenem-resistant

Indexed as

carbapenemasescolistin resistancehypermucoviscous K. pneumoniaeKlebsiella pneumoniaemultidrug resistance

Identifiers

PMID33531820
PMCPMC7846821
OpenAlexW3126064071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.