Evidence map›Paper›PMID 24128420›Full record

ArticleAntimicrobial resistance and infection control2013

Optimizing antimicrobial prescribing: Are clinicians following national trends in methicillin-resistant staphylococcus aureus (MRSA) infections rather than local data when treating MRSA wound infections.

Marin L Schweizer, Eli N Perencevich, Michael R Eber, Xueya Cai, Michelle D Shardell, Nikolay Braykov, Ramanan Laxminarayan

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Observational
  3. Hospital-Acquired Methicillin-resistantHawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2016
    Article
  4. 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

7 authors at 6 institutions in 2 countries.

Marin L SchweizerIowa City VA Health Care System, Iowa City, IA, USA. marin-schweizer@uiowa.edu.
Eli N Perencevich
Michael R Eber
Xueya Cai
Michelle D Shardell
Nikolay Braykov
Ramanan Laxminarayan
Center for Disease Dynamics, Economics & Policy · USIowa City VA Health Care System · USPublic Health Foundation of India · INUniversity of Iowa · USUniversity of Maryland, Baltimore · USUniversity of Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinicians often prescribe antimicrobials for outpatient wound infections before culture results are known. Local or national MRSA rates may be considered when prescribing antimicrobials. If clinicians prescribe in response to national rather than local MRSA trends, prescribing may be improved by making local data accessible. We aimed to assess the correlation between outpatient trends in antimicrobial prescribing and the prevalence of MRSA wound infections across local and national levels.

methodsMonthly MRSA positive wound culture counts were obtained from The Surveillance Network, a database of antimicrobial susceptibilities from clinical laboratories across 278 zip codes from 1999-2007. Monthly outpatient retail sales of linezolid, clindamycin, trimethoprim-sulfamethoxazole and cephalexin from 1999-2007 were obtained from the IMS Health XponentTM database. Rates were created using census populations. The proportion of variance in prescribing that could be explained by MRSA rates was assessed by the coefficient of determination (R2), using population weighted linear regression.

results107,215 MRSA positive wound cultures and 106,641,604 antimicrobial prescriptions were assessed. The R2 was low when zip code-level antimicrobial prescription rates were compared to MRSA rates at all levels. State-level prescriptions of clindamycin and linezolid were not correlated with state MRSA rates. The variance in state-level prescribing of clindamycin and linezolid was correlated with national MRSA rates (clindamycin R2 = 0.17, linezolid R2 = 0.22).

conclusionsClinicians may rely on national, not local MRSA data when prescribing clindamycin and linezolid for wound infections. Providing local resistance data to prescribing clinicians may improve antimicrobial prescribing and would be a possible target for future interventions.

Identifiers

PMID24128420
PMCPMC3853220
OpenAlexW2139443527

What OpenQuestion holds

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LicenceCC BY
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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.