Evidence map›Paper›PMID 41412760›Full record

ArticleAnnals of laboratory medicine2026

Transition from Cytomegalovirus Antigenemia Assay and Whole-Blood Quantitative PCR to Automated Plasma Quantitative PCR in Solid Organ Transplant Recipients: Correlation of Viral Loads and Impact on Treatment Eligibility Based on a Single-Center Retrospective Study.

Seung Hoo Lee, Tae Yeul Kim, Jinyoung Yang, Kyungmin Huh, Sun Young Cho, Cheol-In Kang, Doo Ryeon Chung, Kyong Ran Peck, Sunghae Park, Kyo Won Lee and 9 more

Abstract read
In one paragraph

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

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

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

19 authors.

Seung Hoo LeeDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0001-9738-3911
Tae Yeul KimDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6405-5305
Jinyoung YangDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8378-8937
Kyungmin HuhDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5140-3964
Sun Young ChoDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9307-2369
Cheol-In KangDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1741-4459
Doo Ryeon ChungDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9267-101X
Kyong Ran PeckDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7464-9780
Sunghae ParkDivision of Transplantation Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4383-406X
Kyo Won LeeDivision of Transplantation Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2722-7817
Jae Berm ParkDivision of Transplantation Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9117-2278
Namkee OhDivision of Transplantation Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6594-8973
Jinsoo RhuDivision of Transplantation Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9809-8525
Gyu-Seong ChoiDivision of Transplantation Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-2545-3105
Jongman KimDivision of Transplantation Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1903-8354
Wooseong HuhDivision of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8174-5028
Hee Jae HuhDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8999-7561
Eun-Suk KangDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6386-6520
Jae-Hoon KoDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9490-6609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cytomegalovirus (CMV) antigenemia assay (AG) and whole-blood (WB) quantitative (q)PCR have long been used for monitoring CMV reactivation in solid organ transplant (SOT) recipients. Automated plasma qPCR has enabled faster turnaround and timely intervention. We compared automated plasma qPCR with conventional methods to determine CMV pre-emptive therapy thresholds. Methods: In this single-center retrospective study, liver transplant (LT) and kidney transplant (KT) recipients underwent AG, WB qPCR, and plasma qPCR on the same day. Correlations between these assays were assessed using Spearman's rank correlation, linear, and Tobit regression. qPCR performance was evaluated using ROC analysis, with AG thresholds as the reference standard. Results: In total, 618 samples from 248 patients were analyzed. WB and plasma qPCR viral loads showed strong correlation (Spearman ρ=0.854, Conclusions: By establishing organ-specific plasma qPCR thresholds, this study provides a framework for transitioning from AG- or WB-based monitoring to automated plasma qPCR-guided CMV surveillance.

Indexed as

Antigens, ViralCytomegalovirusCytomegalovirus InfectionsReal-Time Polymerase Chain ReactionAdultAgedAntiviral AgentsDNA, ViralFemaleHumansKidney TransplantationLiver TransplantationMaleMiddle AgedRetrospective StudiesROC CurveAntigens, ViralAntiviral AgentsDNA, ViralAntigenemia assayCytomegalovirus InfectionsOrgan TransplantationPCR

Identifiers

PMID41412760
PMCPMC13458182

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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.