Evidence map›Paper›PMID 39917331›Full record

ArticleOpen forum infectious diseases2025

From Chart Biopsy to Liquid Biopsy: Evaluating the Diagnostic Yield and Clinical Impact of Plasma Microbial Cell-Free DNA Next-Generation Sequencing in the Management of Fever of Unknown Origin.

Nischal Ranganath, Bismarck Bisono Garcia, James Vaillant, Silpita Katragadda, Melissa Kerkelis, Omar Abu Saleh, Madiha Fida

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. 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.

  1. Article
  2. Review
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  4. Article
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  7. What's Hot in Transplant Infectious Diseases?Transplant infectious disease : an official journal of the Transplantation Society
    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

7 authors.

Nischal RanganathDivision of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0001-9538-6214
Bismarck Bisono GarciaDivision of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-4329-4515
James VaillantDivision of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0001-5756-418X
Silpita KatragaddaDivision of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-2065-2586
Melissa KerkelisDivision of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0009-0002-4816-2722
Omar Abu SalehDivision of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-4955-5544
Madiha FidaDivision of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-3630-0668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The underlying cause of fever of unknown origin (FUO) remains unidentified in up to 51% of cases despite systematic evaluation. Microbial cell-free DNA next-generation sequencing (mcfDNA-NGS) offers an agnostic, noninvasive approach to pathogen identification, but the utility and clinical impact of this assay in FUO remain unknown. Methods: This retrospective cohort study evaluated adult patients referred for FUO evaluation at a tertiary medical center between November 2019 and November 2023. Patients underwent both standard microbiologic testing (ST) and mcfDNA-NGS. Diagnostic impact was assessed in 4 domains: new diagnoses, earlier time to diagnosis, avoidance of invasive procedures, and non-hypothesis-driven diagnoses. Logistic regression was used to identify predictors of positive mcfDNA-NGS testing. Results: Among 176 patients, mcfDNA-NGS was positive in 44.3%, with 49% of these cases considered clinically significant. Infectious cause of FUO was identified in 39% of patients, noninfectious in 35%, and unknown in 26%. mcfDNA-NGS contributed to a positive diagnostic impact in 30% of cases, mainly by earlier diagnosis (16%) and potential for avoidance of invasive procedures (10%). Positive mcfDNA-NGS was significantly associated with higher Charlson comorbidity index score (odds ratio [OR], 1.22; Conclusions: mcfDNA-NGS effectively complements ST in diagnosing FUO, providing earlier detection and minimizing invasive testing. Clinical predictors such as high comorbidity and low WBC count may guide the optimal use of mcfDNA-NGS in FUO. Prospective evaluation of optimal timing and use of mcfDNA-NGS and cost-benefit analysis in FUO is needed.

Indexed as

fever of unknown originimmunocompromisedmetagenomicsnovel diagnosticsplasma microbial cell-free DNA

Identifiers

PMID39917331
PMCPMC11800484

What OpenQuestion holds

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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.