Evidence map›Paper›PMID 32489961›Full record

ArticleJournal of research in pharmacy practice

Prospective Study of Irrational Prescription of Teicoplanin in a Large Academic Hospital: A Dilemma of Antimicrobial Resistance.

Masoud Hajialigol, Shadi Farsaei, Kiana Shirani

Open access · goldAbstract read
In one paragraph

Article in Journal of research in pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Masoud HajialigolDepartment of Clinical Pharmacy and Pharmacy Practice, Isfahan University of Medical Sciences, Isfahan, Iran.
Shadi FarsaeiDepartment of Clinical Pharmacy and Pharmacy Practice, Isfahan University of Medical Sciences, Isfahan, Iran.
Kiana ShiraniDepartment of Infectious Diseases, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTeicoplanin is an antibiotic used to treat severe Gram-positive infections, especially those caused by methicillin-resistant

methodsIn this descriptive-analytical prospective study, a total of 256 patients were randomly selected to evaluate the pattern of teicoplanin use. The required data were gathered to assess the appropriateness of teicoplanin usage. Also, 100 teicoplanin Etests were used for measuring the MIC.

findingsThe results showed that the appropriateness rate of teicoplanin usage was 21.9%. The mean MIC was 2.24 ± 5.47 mg/L for the MRSA cultures (33 cultures), including 32 sensitive cultures (97%). In addition, the mean MIC was 28.71 ± 8.29 mg/L for the vancomycin-resistant enterococci (VRE) cultures (67 cultures), including five sensitive cultures (7.5%). Moreover, the analysis revealed that only the hospitalization ward was statistically significantly related to irrational usage (

conclusionThe high prevalence of the inappropriate use of teicoplanin will lead to the development of antimicrobial resistance. Furthermore, the high rate of VRE cultures resistant to teicoplanin proves that teicoplanin has no advantage over vancomycin for treating VRE infections. Finally, we recommend guidelines' development for the appropriate administration of teicoplanin.

Indexed as

Drug utilization reviewMethicillin-resistant Staphylococcus aureusmicrobial sensitivity testTeicoplaninVancomycin-resistant enterococci

Identifiers

PMID32489961
PMCPMC7235458
OpenAlexW3013537058

What OpenQuestion holds

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Registered trials

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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.