Evidence map›Paper›PMID 40176261›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2025

Plasma Microbial Cell-free DNA Metagenomic Sequencing for Diagnosis of Invasive Fungal Diseases Among High-risk Outpatient and Inpatient Immunocompromised Hosts.

Beatrice Z Sim, Jordan K Mah, Madeleine R Heldman, Kelly L Stanly, Kimberly E Hanson, Angela M Caliendo, David Andes, Luis Ostrosky-Zeichner, John R Wingard, Barbara D Alexander

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Beatrice Z SimDivision of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA.ORCID 0000-0003-1845-4476
Jordan K MahDivision of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA.
Madeleine R HeldmanDivision of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA.ORCID 0000-0002-9424-1870
Kelly L StanlyDivision of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA.
Kimberly E HansonDivision of Infectious Diseases, Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.ORCID 0000-0001-9790-277X
Angela M CaliendoDivision of Infectious Diseases, Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.ORCID 0000-0003-4309-7642
David AndesDivision of Infectious Diseases, Department of Medicine, University of Wisconsin, Madison, Wisconsin, USA.ORCID 0000-0002-7927-9950
Luis Ostrosky-ZeichnerDivision of Infectious Diseases, Department of Medicine, University of Texas Medical School at Houston, Houston, Texas, USA.
John R WingardDepartment of Medicine, University of Florida College of Medicine, Gainesville, Florida, USA.ORCID 0000-0001-7478-5398
Barbara D AlexanderDivision of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA.

Funding

Duke UniversityNIAID NIH HHS HHSN266200700023CNIAID NIH HHS N01-AI-70023
6 · The paper itself

Abstract

backgroundNew and minimally invasive tools to aid the diagnosis of invasive fungal diseases (IFD) are urgently needed as the immunocompromised population at highest risk increases. Advancements in molecular technology have rendered new diagnostics more readily available for clinical use.

methodsThis case-control study used prospectively collected archived plasma specimens and data from the Aspergillus Technology Consortium Repository to investigate the diagnostic performance of microbial cell-free DNA (mcfDNA) sequencing as a minimally invasive diagnostic for IFDs in a population of high-risk immunocompromised hosts including hematologic malignancy, stem cell, and solid organ transplants patients. The 2008 Mycoses Study Group/European Organization for the Research and Treatment of Cancer diagnostic criteria served as the gold standard for test performance.

resultsSixty-five adult subjects with proven or probable IFD and 65 controls without IFD were included. Among IFD episodes Aspergillus was the most common pathogen (70.8%, 46/65), followed by Mucorales (10.8%, 7/65). Overall, sensitivity was 47.7% and specificity was 100%. Sensitivity varied based on disease certainty and pathogen; sensitivity was higher in proven versus probable IFD (60.0% vs 37.1%, respectively) and higher for subjects with invasive mucormycosis (100%) compared with aspergillosis (45.7%).

conclusionsA positive result by mcfDNA sequencing may reduce the need for invasive sampling in patients with suspected IFD. In this exploratory analysis, its high sensitivity and specificity for invasive mucormycosis suggests it could be useful for early treatment and intervention of this IFD. Future studies should focus on understanding how specific factors impact the sensitivity of mcfDNA sequencing for invasive aspergillosis.

Indexed as

Cell-Free Nucleic AcidsImmunocompromised HostInvasive Fungal InfectionsMetagenomicsAdultAgedAspergillusCase-Control StudiesDNA, FungalFemaleHumansInpatientsMaleMiddle AgedOutpatientsProspective StudiesCell-Free Nucleic AcidsDNA, Fungalfungal diagnosticsfungal infectionsimmunocompromised hostmicrobial cell-free DNA metagenomic sequencingminimally invasive diagnostics

Identifiers

PMID40176261
PMCPMC12728277

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Registered trials

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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.