ArticleJAC-antimicrobial resistance2022
CON: Serum biomarker monitoring should not replace primary antifungal chemoprophylaxis in patients with acute leukaemia receiving systemic anti-cancer therapy.
Article in JAC-antimicrobial resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 1 citations in OpenAlex.
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2 authors at 1 institution in 1 country.
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Abstract
Primary antifungal chemoprophylaxis (PAC) is the widespread strategy of choice for the prevention of invasive fungal disease in patients with acute leukaemia (AL). Twice-weekly monitoring of the serum biomarkers (SBM) galactomannan and 1,3-β-d-glucan has been proposed as an alternative prevention strategy to PAC for these patients. This paper outlines the arguments for why PAC should remain as the standard of care in AL, instead of switching to twice-weekly SBM. Arguments put forward in favour of PAC are the strength of evidence for its safety, cost-effectiveness and adaptability, and its adoption by multiple international guidelines as standard of care. The potential implications of PAC for drug interactions and antifungal resistance are also discussed. The drawbacks of twice-weekly SBM are appraised, including missed or delayed diagnoses, unnecessary investigations, deferral of systemic anti-cancer therapy and increased pressure on laboratory services.
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Registered trials
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.