Evidence map›Paper›PMID 21694881›Full record

ArticleInfection and drug resistance2008

High prevalence of multidrug-resistant MRSA in a tertiary care hospital of northern India.

Hare Krishna Tiwari, Darshan Sapkota, Malaya Ranjan Sen

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

24 citing papers in PubMed, 85 citations in OpenAlex.

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  13. Detection and molecular typing of methicillin-resistantMedical journal, Armed Forces India · 2019
    Article
  14. Penicillin dust exposure and penicillin resistance among pharmaceutical workers in Tehran, Iran.International journal of occupational and environmental health · 2016
    Article
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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 1 institution in 1 country.

Hare Krishna TiwariDepartment of Microbiology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, UP, India;
Darshan Sapkota
Malaya Ranjan Sen
Banaras Hindu University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) is an important nosocomial and community pathogen. The objectives of this study were to estimate the prevalence of multidrug-resistant MRSA strains in clinical specimens and to investigate the sensitivity pattern of these strains against various antibiotics used for treating hospitalized and out patients. Strains were identified using standard procedures, and their sensitivity pattern was investigated using such techniques as disc diffusion, minimum inhibitory concentration (MIC), and the mecA gene PCR. Among 783 isolates of S. aureus, 301 (38.44%) were methicillin-resistant, of which 217 (72.1%) were found to be multidrug-resistant. Almost all MRSA strains were resistant to penicillin, 95.68% were resistant to cotrimoxazole, 92.36% were resistant to chloramphenicol, 90.7% were resistant to norfloxacin, 76.1% were resistant to tetracycline, and 75.75% were resistant to ciprofloxacin. Vancomycin was the most effective drug, with only 0.33% of MRSA strains being resistant to it. It is concluded that antibiotics other than vancomycin can be used as anti-MRSA agents after a sensitivity test so as to preclude the emergence of resistance to it and that prevailing problems in chemotherapy will escalate unless indiscriminate and irrational usage of antibiotics is checked.

Indexed as

Indiamultidrug-resistant MRSAprevalence

Identifiers

PMID21694881
PMCPMC3108723
OpenAlexW2026351285

What OpenQuestion holds

Textmetadata
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.