Evidence map›Paper›PMID 34163185›Full record

ArticleInfection and drug resistance2021

Characterisation of ESKAPE Pathogens with Special Reference to Multidrug Resistance and Biofilm Production in a Nepalese Hospital.

Rosy Pandey, Shyam Kumar Mishra, Angela Shrestha

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 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 5% 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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  14. Unraveling Biofilm-Forming Uropathogens: Isolation and Antimicrobial Resistance Patterns at Nepal Police Hospital, Kathmandu.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 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

3 authors at 2 institutions in 2 countries.

Rosy PandeySt. Xavier's College (Tribhuvan University), Department of Microbiology, Kathmandu, Nepal.ORCID 0000-0002-3037-376X
Shyam Kumar MishraUNSW Sydney, School of Optometry and Vision Science, Sydney, Australia.ORCID 0000-0002-3888-7319
Angela ShresthaSt. Xavier's College (Tribhuvan University), Department of Microbiology, Kathmandu, Nepal.
Tribhuvan University · NPAustralian College of Optometry · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background"ESKAPE" is an acronym for a group of life-threatening nosocomial pathogens, viz,

methodsA total of 8756 clinical samples were processed for the isolation and identification of ESKAPE pathogens following standard microbiological procedures. These isolates were subjected to antimicrobial sensitivity test as per Clinical and Laboratory Standards Institute (CLSI) guidelines. Test for MDR, extended-spectrum β-lactamase (ESBL), metallo-β-lactamase (MBL), methicillin-resistant

resultsThe percentage distribution of

conclusionThis study estimates the burden of the ESKAPE organisms and their antimicrobial resistance pattern in a hospital setting. A high percentage of drug resistance and biofilm production was noted; hence antimicrobial resistance surveillance targeting ESKAPE pathogens should be incorporated in the infection control policy in Nepal.

Indexed as

ESKAPE pathogensextended-spectrum β-lactamase; ESBLmetallo-β-lactamase; MBLmethicillin-resistant Staphylococcus aureus; MRSAvancomycin-resistant Enterococcus; VRE

Identifiers

PMID34163185
PMCPMC8214009
OpenAlexW3167208152

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.