Evidence map›Paper›PMID 42197512›Full record

ArticleMicroorganisms2026

Analytical Performance and Inter-Method Agreement of a Laboratory-Developed CMV qPCR Assay in Clinical Plasma Samples.

Murat Aral, Ayfer Bakır, Cemal Çiçek, Elif Tuğçe Güner, Didem Özkan, Muhammed Furkan Kürkçü, Gülşah Ceylan Yağız, Mehmet Morkoç, Ferit Kulalı, Ahmet Kürşad Güneş

Abstract read
In one paragraph

Article in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Murat AralDepartment of Medical Microbiology, Ankara Etlik City Hospital, Ankara 06170, Türkiye.ORCID 0000-0002-3576-4380
Ayfer BakırDepartment of Medical Microbiology, Ankara Etlik City Hospital, Ankara 06170, Türkiye.ORCID 0000-0002-9006-5267
Cemal ÇiçekDepartment of Medical Microbiology, Ankara Etlik City Hospital, Ankara 06170, Türkiye.
Elif Tuğçe GünerDepartment of Medical Microbiology, Ankara Etlik City Hospital, Ankara 06170, Türkiye.ORCID 0000-0002-8832-2201
Didem ÖzkanDepartment of Medical Microbiology, Ankara Etlik City Hospital, Ankara 06170, Türkiye.
Muhammed Furkan KürkçüDepartment of Medical Microbiology, Ankara Etlik City Hospital, Ankara 06170, Türkiye.
Gülşah Ceylan YağızDepartment of Medical Microbiology, Ankara Etlik City Hospital, Ankara 06170, Türkiye.
Mehmet MorkoçDepartment of Medical Microbiology, Ankara Etlik City Hospital, Ankara 06170, Türkiye.
Ferit KulalıDepartment of Neonatology, Ankara Etlik City Hospital, Ankara 06170, Türkiye.ORCID 0000-0003-0310-1184
Ahmet Kürşad GüneşDepartment of Hematology, Ankara Etlik City Hospital, Ankara 06170, Türkiye.ORCID 0000-0001-5522-8342

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCytomegalovirus (CMV) viral load monitoring forms the basis of preemptive treatment strategies in patients undergoing solid organ and hematopoietic stem cell transplantation. This study aimed to evaluate the analytical performance and inter-method agreement of a laboratory-developed CMV real-time PCR (qPCR) test compared to a commercial reference method using plasma samples.

methodsA total of 100 EDTA plasma samples were analyzed in parallel using a laboratory-developed CMV qPCR test and the reference method (Roche Cobas

resultsThe limit of detection (LoD

conclusionsThe assay demonstrated measurable analytical performance and inter-method agreement; however, its use for quantitative viral load monitoring, particularly at low CMV DNA levels, should be interpreted with caution.

Indexed as

analytical performancecytomegaloviruslaboratory-developed testmethod comparisonreal-time quantitative PCR

Identifiers

PMID42197512
PMCPMC13210100

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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.