Rapid Differentiation of False Positives of Galactomannan Related to Contaminated Intravenous Fluids via a Pharmacokinetics Model and Innovative Web-Based Tool.

Raeseok Lee, Suein Choi, Hwajun Cha, Dukhee Nho, Sung-Yeon Cho, Seunghoon Han, Dong-Gun Lee

Abstract read

In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Raeseok LeeDivision of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-1168-3666

Suein ChoiDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-5438-7819

Hwajun ChaDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-6047-7236

Dukhee NhoDivision of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Sung-Yeon ChoDivision of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-5392-3405

Seunghoon HanDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Dong-Gun LeeDivision of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-4655-0641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study developed a pharmacokinetic model and web-based tool to distinguish true invasive aspergillosis from false positives caused by contaminated fluids. By analyzing galactomannan kinetics, false positives were identified within 24 hours, improving diagnostic accuracy and aiding clinicians in early decision making while minimizing unnecessary interventions.

Indexed as

aspergillosisfalse-positive reactionsgalactomannanpharmacokineticsweb-based applications

Identifiers

PMID40182132

DOI10.1093/ofid/ofaf088

PMCPMC11965789

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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.