ArticleOpen forum infectious diseases2024
Implementation of an Automated Antibiotic Time-out at a Comprehensive Cancer Center.
Article in Open forum infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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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.
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Who cites it
3 citing papers in PubMed.
- Where antibiotic time-outs work: department- and ward-stratified effects of a pharmacist-led anti-MRSA time-out.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026Article
- Facing antimicrobial resistance in cancer care: what the AIOM survey tells us about oncologists' awareness.JAC-antimicrobial resistance · 2025Article
- Efficiency of a Long-term Infectious Diseases Consultation and Antimicrobial Stewardship Program at a Japanese Cancer Center: An Interrupted Time-Series Analysis.Open forum infectious diseases · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Antimicrobial stewardship programs can optimize antimicrobial use and have been federally mandated in all hospitals. However, best stewardship practices in immunocompromised patients with cancer are not well established. Methods: An antimicrobial time out, in the form of an email, was sent to physicians caring for hospitalized patients reaching 5 days of therapy for targeted antimicrobials (daptomycin, linezolid, tigecycline, vancomycin, imipenem/cilastatin, meropenem) in a comprehensive cancer center. Physicians were to discontinue the antimicrobial if unnecessary or document a rationale for continuation. This is a quasi-experimental, interrupted time series analysis assessing antimicrobial use during the following times: period 1 (before time-out: January 2007-June 2010) and period 2 (after time-out: July 2010-March/2015). The primary antimicrobial consumption metric was mean duration of therapy. Days of therapy per 1000 patient-days were also assessed. Results: Implementation of the time-out was associated with a significant decrease in mean duration of therapy for the following antimicrobials; daptomycin: -0.89 days (95% confidence interval [CI], -1.38 to -.41); linezolid: -0.89 days (95% CI, -1.27 to -.52); meropenem: -0.97 days (95% CI, -1.39 to -.56); tigecycline: -1.41 days (95% CI, -2.19 to -.63); Discussion: A passive day 5 time-out was associated with reduction in targeted antibiotic use in a cancer center and could potentially be successfully adopted to several settings and electronic health records.
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Registered trials
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