Evidence map›Paper›PMID 38887486›Full record

ArticleOpen forum infectious diseases2024

Patterns and Drivers of Antifungal Prescribing in Acute Leukemia: A Retrospective Cohort Study.

Hamish Houston, Peter Dutey-Magni, Matthew Steel, Selina Patel, Wai Keong Wong, Laura Shallcross, Andrew James Wilson, Neil Stone

Abstract read
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Review
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

8 authors.

Hamish HoustonDepartment of Clinical Microbiology, University College London Hospitals NHS Foundation Trust, London, United Kingdom.ORCID https://orcid.org/0000-0001-5302-7563
Peter Dutey-MagniMedical Research Council Clinical Trials Unit, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-8942-9836
Matthew SteelInstitute for Health Informatics, University College London, London, United Kingdom.
Selina PatelInstitute for Health Informatics, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-7309-1917
Wai Keong WongClinical and Research Informatics Unit, University College London Hospitals NHS Foundation Trust, London, United Kingdom.ORCID https://orcid.org/0000-0002-5742-0108
Laura ShallcrossInstitute for Health Informatics, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-1713-2555
Andrew James WilsonClinical and Research Informatics Unit, University College London Hospitals NHS Foundation Trust, London, United Kingdom.ORCID https://orcid.org/0000-0002-0410-3088
Neil StoneDepartment of Clinical Microbiology, University College London Hospitals NHS Foundation Trust, London, United Kingdom.ORCID https://orcid.org/0000-0002-1210-6166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with hematological malignancy are at high risk of invasive fungal infections (IFIs). Diagnosis is challenging, which can lead to overtreatment. Reducing exposure to inappropriate antifungal prescribing is likely to improve patient safety, but modifying prescribing behavior is difficult. We aimed to describe patterns and drivers of therapeutic antifungal prescribing in a large tertiary hemato-oncology center in the United Kingdom. Methods: We studied adults receiving treatment for acute leukemia at our center between 1 April 2019 and 14 October 2022. We developed a reproducible method to analyze routinely collected data on antifungal therapy episodes in a widely used electronic health record system. We report antifungal use in days of therapy stratified by level of diagnostic confidence, as defined by consensus diagnostic guidelines (European Organisation for Research and Treatment of Cancer/Mycoses Study Group). Results: Two hundred ninety-eight patients were included in the analysis; 21.7% of inpatient antifungal use occurred in cases of proven/probable IFI. Substantial antifungal use occurred in the absence of strong evidence of infection in patients receiving high-intensity first-line chemotherapy or approaching death (81.0% and 77.9%, respectively). Approximately 33% of high-resolution computed tomography (HRCT) reports were indeterminate for IFI. Indeterminate reports were around 8 times more likely to be followed by a new antifungal therapy episode than a negative report. Conclusions: Antifungal stewardship remains challenging in the absence of reliable diagnostics, particularly in more unwell patients. The proportion of antifungal therapy given for proven/probable infection is a new metric that will likely be useful to target antifungal stewardship programs. The thoracic HRCT report is an important contributor to diagnostic uncertainty.

Identifiers

PMID38887486
PMCPMC11181189

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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.