Evidence map›Paper›PMID 39554813›Full record

ArticleFrontiers in cellular and infection microbiology2024

Enhancing ascitic fungal infection diagnosis through next-generation sequencing: a pilot study in surgical ICU patients.

Sara Posadas-Cantera, Negin Mehrbarzin, Simon Wetzel, Hanna Goelz, Lampros Kousoulas, Stefan Utzolino, Georg Häcker, Mohamed Tarek Badr

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 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. Article
  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.

Sara Posadas-CanteraInstitute of Medical Microbiology and Hygiene, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Negin MehrbarzinInstitute of Medical Microbiology and Hygiene, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Simon WetzelInstitute of Medical Microbiology and Hygiene, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Hanna GoelzInstitute of Medical Microbiology and Hygiene, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Lampros KousoulasDepartment of General and Visceral Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Stefan UtzolinoDepartment of General and Visceral Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Georg HäckerInstitute of Medical Microbiology and Hygiene, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Mohamed Tarek BadrInstitute of Medical Microbiology and Hygiene, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Ascites, often associated with critical pathologies such as liver cirrhosis or bowel perforation, can be complicated by fungal infection, increasing mortality especially in intensive care settings and demanding rapid diagnosis and adequate treatment. Traditional microbiological diagnostic methods have limited sensitivity in accurately identifying fungal pathogens in ascitic fluid. Alternative diagnostic methods may offer important insights to enable guiding of antifungal therapy and refining empirical treatment strategies. The objective of this study was to evaluate the potential of next-generation sequencing methods to identify specific fungal pathogens responsible for ascitic fluid infections. Methods: We prospectively collected 50 ascitic fluid samples from ICU patients with suspected ascites infection. In addition to standard culture-based microbiological testing, an ascitic fluid aliquot underwent fungal DNA isolation and was analyzed by next-generation sequencing (NGS) methods for identification of fungal species. Results: Of 50 ascitic samples collected, five samples showed growth of Conclusions: Our results show a higher sensitivity for NGS-based diagnostic methods in the identification of ascitic fluid fungal infections compared to culture-based diagnostics. This may be beneficial especially for patients in a critical care setting, who have an increased prevalence of comorbidities and high mortality. The implementation of such methods in standard diagnosis will require increased standardization of the workflows and interpretation of the sequencing results with respect to patients' clinical picture.

Indexed as

Ascitic FluidDNA, FungalHigh-Throughput Nucleotide SequencingIntensive Care UnitsMycosesAdultAgedAged, 80 and overAscitesCandidaFemaleFungiHumansMaleMiddle AgedMolecular Diagnostic TechniquesDNA, Fungalascitic fluid infectionsclinical microbiologyfungal infectionsintensive care unitmolecular diagnosticsmycobiomenext-generation sequencingsurgery

Identifiers

PMID39554813
PMCPMC11564152

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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.