ReviewRevista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia2026
The PRECISE framework: a structured approach to antibiogram interpretation for antimicrobial optimization at the bedside.
Review in Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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3 authors.
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Abstract
Antimicrobial resistance claimed an estimated 4.95 million lives in 2019. When clinicians prescribe empiric therapy that follows guidelines, mortality drops by roughly a third; when they de-escalate on the basis of culture results, it drops by more than half. Yet the document that should drive both decisions, the antibiogram, is often read superficially or misinterpreted, particularly by physicians without infectious-disease training. Existing stewardship frameworks address prescribing principles, timing, or ecological impact, but none walks the clinician step by step through an individual susceptibility report and out the other side with a treatment plan. PRECISE is a seven-step mnemonic designed for that purpose. Each letter corresponds to a clinical action: Pathogen assessment, Resistance phenotype interpretation, Evaluate MIC, Curtail spectrum, Individualize PK/PD, Switch route, and Endpoint optimization. Three clinical vignettes (including one in which the steps deliberately collide) illustrate how the framework operates in practice.
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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.