Evidence map›Paper›PMID 28577365›Full record

ArticleBMC research notes2017

Prevalence of methicillin resistant Staphylococcus aureus in Lumbini Medical College and Teaching Hospital, Palpa, Western Nepal.

Shristi Raut, Kishor Bajracharya, Janak Adhikari, Sushama Suresh Pant, Bipin Adhikari

Abstract read
In one paragraph

Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. Global prevalence of macrolide-resistantFrontiers in microbiology · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Current Antibiotic Resistance Profile of ESKAPE Pathogens in a Nepalese Hospital: A Cross-Sectional Study.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  6. Nasal Carriage of Methicillin-ResistantInterdisciplinary perspectives on infectious diseases · 2025
    Article
  7. Article
  8. Potential Surviving Effect ofAntibiotics (Basel, Switzerland) · 2024
    Article
  9. Epidemiology ofAntibiotics (Basel, Switzerland) · 2023
    Review
  10. Observational
  11. Infection and drug resistance · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Methicillin-resistant Staphylococcus aureus in Nepal.JNMA; journal of the Nepal Medical Association · 2021
    Article
  16. Article
  17. Methicillin-ResistantInfectious diseases · 2021
    Article
  18. Molecular Confirmation of Vancomycin-ResistantInternational journal of microbiology · 2021
    Article
  19. Methicillin-resistantPathogens and global health · 2020
    Article
  20. Prevalence of methicillin-resistantInfection prevention in practice · 2020
    Article
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.

Shristi RautDepartment of Microbiology, Lumbini Medical College, Palpa, Nepal. rautshristi@gmail.com.ORCID http://orcid.org/0000-0002-5599-7763
Kishor BajracharyaDepartment of Microbiology, Lumbini Medical College, Palpa, Nepal.
Janak AdhikariB.P. Koirala Institute of Health Sciences, Dharan, Nepal.
Sushama Suresh PantDepartment of Microbiology, Lumbini Medical College, Palpa, Nepal.
Bipin AdhikariMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultidrug resistant Staphylococcus aureus is common in both tertiary and primary health care settings. Emergence of methicillin resistance in S. aureus (MRSA) along with macrolide, lincosamide, streptogramin B (MLSB) has made treatment of Staphylococcal infection more challenging. The main objective of this study was to detect MRSA, MLSB (inducible; MLSBi and constitutive; MLSBc) resistant S. aureus using phenotypic methods and to determine their antibiogram.

methodsVarious samples were collected from 1981 patients who attended Lumbini Medical College and Teaching Hospital (LMCTH) during the period of 6 months from September 2015 to February 2016. Out of a total of 1981 samples, 133 S. aureus were isolated. Cefoxitin was used to detect MRSA by the disk diffusion test. Inducible clindamycin resistance (MLSBi) was detected by the D-zone test. The antibiotic profile of all isolates was tested by a modified Kirby Bauer disk diffusion method.

resultsAmong 133 S. aureus, there were 58 (43.6%) MRSA, 34 (25.6%) MLSBi and 30 (22.6%) MLSBc. Of a total of 64 MLSB, a significant proportion (62.5%) was MRSA (p < 0.001). Among 11 different antibiotics that were tested for S. aureus, MRSA showed significant resistance to 9 (p < 0.05) with the exception of vancomycin and linezolid. All the isolates were 100% sensitive to linezolid. MLSBi organisms were 100% sensitive to vancomycin and linezolid. Both MLSBi and MLSBc showed a higher degree of resistance to multiple antibiotics (p < 0.05).

conclusionsIsolation of MRSA, MLSBi and MLSBc were remarkably high. Routine use of simple and cost effective methods such as the disk diffusion test by cefoxitin for MRSA and the D-zone test for MLSBi organisms can easily identify these isolates. Antibiotic resistance profiles from this study can optimize the treatment of multi-drug resistant S. aureus.

Indexed as

Hospitals, TeachingSchools, MedicalAnti-Bacterial AgentsCross InfectionDrug Resistance, Multiple, BacterialHumansLincosamidesMacrolidesMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsNepalPrevalenceStaphylococcal InfectionsStreptogramin BAnti-Bacterial AgentsLincosamidesMacrolidesStreptogramin BCefoxitinD-zone testMRSAStaphylococcus aureus

Identifiers

PMID28577365
PMCPMC5457603

What OpenQuestion holds

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LicenceCC BY
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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.