ArticleJournal of clinical microbiology2015
Analytical Comparison of In Vitro-Spiked Human Serum and Plasma for PCR-Based Detection of Aspergillus fumigatus DNA: a Study by the European Aspergillus PCR Initiative.
Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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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.
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.
Who cites it
21 citing papers in PubMed, 48 citations in OpenAlex.
- Trial
- Non-invasive diagnosis of invasive fungal disease with cell-free DNA PCR.Journal of clinical microbiology · 2026Review
- The Molecular Diagnosis of Invasive Fungal Diseases with a Focus on PCR.Diagnostics (Basel, Switzerland) · 2025Review
- Interlaboratory assays from the fungal PCR Initiative and the Modimucor Study Group to improve qPCR detection of Mucorales DNA in serum: one more step toward standardization.Journal of clinical microbiology · 2025Article
- Molecular Diagnostics for Invasive Fungal Diseases: Current and Future Approaches.Journal of fungi (Basel, Switzerland) · 2024Review
- Dynamics and prognostic value of plasma cell-free DNA PCR in patients with invasive aspergillosis and mucormycosis.Journal of clinical microbiology · 2024Article
- An Overview of Systematic Reviews of Polymerase Chain Reaction (PCR) for the Diagnosis of Invasive Aspergillosis in Immunocompromised People: A Report of the Fungal PCR Initiative (FPCRI)-An ISHAM Working Group.Journal of fungi (Basel, Switzerland) · 2023Review
- Recognition of Diagnostic Gaps for Laboratory Diagnosis of Fungal Diseases: Expert Opinion from the Fungal Diagnostics Laboratories Consortium (FDLC).Journal of clinical microbiology · 2021Article
- Recent Advances and Novel Approaches in Laboratory-Based Diagnostic Mycology.Journal of fungi (Basel, Switzerland) · 2021Review
- Molecular Diagnosis of Yeast Infections.Current fungal infection reports · 2021Review
- Multiplex PCR Based Strategy for Detection of Fungal Pathogen DNA in Patients with Suspected Invasive Fungal Infections.Journal of fungi (Basel, Switzerland) · 2020Article
- Blood Aspergillus PCR: The Good, the Bad, and the Ugly.Journal of fungi (Basel, Switzerland) · 2020Review
- Molecular Diagnostic Advances in Transplant Infectious Diseases.Current infectious disease reports · 2019Review
- A New Age in Molecular Diagnostics for Invasive Fungal Disease: Are We Ready?Frontiers in microbiology · 2019Review
- Challenges and Solution of Invasive Aspergillosis in Non-neutropenic Patients: A Review.Infectious diseases and therapy · 2018Review
- Analytical and Clinical Evaluation of the PathoNostics AsperGenius Assay for Detection of Invasive Aspergillosis and Resistance to Azole Antifungal Drugs Directly from Plasma Samples.Journal of clinical microbiology · 2017Article
- PCR Technology for Detection of Invasive Aspergillosis.Journal of fungi (Basel, Switzerland) · 2016Review
- Comparison of Nonculture Blood-Based Tests for Diagnosing Invasive Aspergillosis in an Animal Model.Journal of clinical microbiology · 2016Article
- Comparison of Performance Characteristics of Aspergillus PCR in Testing a Range of Blood-Based Samples in Accordance with International Methodological Recommendations.Journal of clinical microbiology · 2016Article
- Clinical Performance of Aspergillus PCR for Testing Serum and Plasma: a Study by the European Aspergillus PCR Initiative.Journal of clinical microbiology · 2015Article
Corrections and comments
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Authors and funding
13 authors at 9 institutions in 9 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of serum or plasma for Aspergillus PCR testing facilitates automated and standardized technology. Recommendations for serum testing are available, and while serum and plasma are regularly considered interchangeable for use in fungal diagnostics, differences in galactomannan enzyme immunoassay (GM-EIA) performance have been reported and are attributed to clot formation. Therefore, it is important to assess plasma PCR testing to determine if previous recommendations for serum are applicable and also to compare analytical performance with that of serum PCR. Molecular methods testing serum and plasma were compared through multicenter distribution of quality control panels, with additional studies to investigate the effect of clot formation and blood fractionation on DNA availability. Analytical sensitivity and time to positivity (TTP) were compared, and a regression analysis was performed to identify variables that enhanced plasma PCR performance. When testing plasma, sample volume, preextraction-to-postextraction volume ratio, PCR volume, duplicate testing, and the use of an internal control for PCR were positively associated with performance. When whole-blood samples were spiked and then fractionated, the analytical sensitivity and TTP were superior when testing plasma. Centrifugation had no effect on DNA availability, whereas the presence of clot material significantly lowered the concentration (P = 0.028). Technically, there are no major differences in the molecular processing of serum and plasma, but the formation of clot material potentially reduces available DNA in serum. During disease, Aspergillus DNA burdens in blood are often at the limits of PCR performance. Using plasma might improve performance while maintaining the methodological simplicity of serum testing.
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Registered trials
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.