Evidence map›Paper›PMID 39267936›Full record

ArticleIranian journal of microbiology2024

Phenotypic and genotypic characterization of methicillin resistant

Sharanya Krishnakumar, Abdul Azeez Mohamed Khalid, Jothipandian Sowndarya, Lakshmi Krishnasamy, Paramasivam Nithyanand

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Article in Iranian journal of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sharanya KrishnakumarDepartment of Microbiology, Sree Balaji Medical College and Hospital, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India.
Abdul Azeez Mohamed KhalidBiofilm Biology Laboratory, Centre for Research on Infectious Diseases (CRID), School of Chemical and Biotechnology, SASTRA Deemed University, Tirumalaisamudram, Thanjavur, Tamil Nadu, India.
Jothipandian SowndaryaBiofilm Biology Laboratory, Centre for Research on Infectious Diseases (CRID), School of Chemical and Biotechnology, SASTRA Deemed University, Tirumalaisamudram, Thanjavur, Tamil Nadu, India.
Lakshmi KrishnasamyDepartment of Microbiology, Sree Balaji Medical College and Hospital, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India.
Paramasivam NithyanandBiofilm Biology Laboratory, Centre for Research on Infectious Diseases (CRID), School of Chemical and Biotechnology, SASTRA Deemed University, Tirumalaisamudram, Thanjavur, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Staphylococcal infections are one of the major infectious diseases affecting globally in spite of advances in development of antimicrobial agents. Knowledge and awareness about the local pattern and prevalence of MRSA infections plays a key role in treatment. The aim of this study was to identify MRSA strains by phenotypic and genotypic methods and to analyze the antibiotic susceptibility pattern of MRSA strains from patients attending a tertiary care hospital. Materials and Methods: This study was conducted over a period of 1 year, where 296 isolates of Results: A total of 104 isolates were found to be MRSA and 192 were found to be MSSA. Among the 104 MRSA isolates, 10 strains that were multidrug resistant were subjected to 16S rRNA gene sequencing analysis. All the 10 strains had a 99% match with Conclusion: Hence these phylogenetic analysis aid in treating the patients and combating resistance to antibiotics.

Indexed as

BiofilmHealthcare associated infectionsMethicillin-resistant Staphylococcus aureusMulti drug resistancePenicillin binding proteinsPyogenic infectionStaphylococcus aureus

Identifiers

PMID39267936
PMCPMC11389768

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