Evidence map›Paper›PMID 42056391›Full record

ArticleScientific reports2026

Consistent performance of cytomegalovirus IgG assays across platforms contrasts with marked IgM variability, supporting IgG avidity-based infection classification in a high-prevalence population.

Farah Trad, Marah Abdallah, Nouran Zein, Salma Younes, Parveen B Nizamuddin, Nadin Younes, Hisham ElBanawy, Baheieh Al-Abbadi, Mansour Al-Hiary, Zain Abou-Nouar and 13 more

Abstract read
In one paragraph

Article in Scientific reports, 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

23 authors.

Farah Trad *Biomedical Research Center, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar.
Marah AbdallahDepartment of Biomedical Science, College of Health Sciences, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar.
Nouran Zein *Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar.
Salma YounesDepartment of Biomedical Science, College of Health Sciences, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar.
Parveen B NizamuddinBiomedical Research Center, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar.
Nadin YounesDepartment of Biomedical Science, College of Health Sciences, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar.
Hisham ElBanawyAl Borg Diagnostics, PO Box 5207, Doha, Qatar.
Baheieh Al-AbbadiDepartment of Immunopathology Princess Iman Bint Abdullah II Center for Research and Laboratory Sciences, Royal Medical Services, Amman, Jordan.
Mansour Al-HiaryDepartment of Immunopathology Princess Iman Bint Abdullah II Center for Research and Laboratory Sciences, Royal Medical Services, Amman, Jordan.
Zain Abou-NouarDepartment of Immunopathology Princess Iman Bint Abdullah II Center for Research and Laboratory Sciences, Royal Medical Services, Amman, Jordan.
Oraib Al-SubeihiDepartment of Immunopathology Princess Iman Bint Abdullah II Center for Research and Laboratory Sciences, Royal Medical Services, Amman, Jordan.
Yaser Al-ZubiDepartment of Immunopathology Princess Iman Bint Abdullah II Center for Research and Laboratory Sciences, Royal Medical Services, Amman, Jordan.
Ahmad Al-ManaseerDepartment of Immunopathology Princess Iman Bint Abdullah II Center for Research and Laboratory Sciences, Royal Medical Services, Amman, Jordan.
Anwar Al-JaloudiDepartment of Immunopathology Princess Iman Bint Abdullah II Center for Research and Laboratory Sciences, Royal Medical Services, Amman, Jordan.
Ahmed IsmailLaboratory Section, Medical Commission Department, Ministry of Public Health, Doha, Qatar.
Wanida LaiwattanapaisalDepartment of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Patumwan, Bangkok, 10330, Thailand.
Pattramon AungbamnetMedical Technology Unit, Health Sciences Service Center, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Pollanat LoungjindaMedical Technology Unit, Health Sciences Service Center, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Palanee AmmaranondDepartment of Transfusion Medicine and Clinical Microbiology, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.
Hadi M YassineDepartment of Biomedical Science, College of Health Sciences, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar.
Houssein AyoubMathematics Program, Department of Mathematics and Statistics, College of Arts and Sciences, Qatar University, Doha, Qatar.
Laith J AbuRaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.
Gheyath K NasrallahDepartment of Biomedical Science, College of Health Sciences, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar. gheyath.nasrallah@qu.edu.qa.

Funding

Qatar National Research Fund NPRP13S-0128-200185Qatar Research, Development and Innovation Council ARG01-0524-230321Qatar University QUCG-CAS-23/24-114Qatar University QUST-1-CHS-2025-254
6 · The paper itself

Abstract

CMV serology is vital for screening at-risk populations. While IgG assays show high accuracy, IgM interpretation is challenged by assay variability and the lack of a gold standard, especially in high-prevalence settings. This study evaluates four platforms to refine diagnostic classification. Performance of Mindray (CLIA), Abbott (CMIA), Roche (ECLIA), and NovaLisa (ELISA) was assessed using 319 (IgG) and 237 (IgM) samples against a "composite silver standard" (concordance in ≥ 3 assays). IgG avidity adjudicated discordant IgM results. CMV IgG seropositivity was consistent: Mindray (71.8%), Abbott (71.5%), NovaLisa (69.0%), and Roche (67.1%), aligning with the silver standard (69.6%). IgG assays showed almost perfect agreement (κ = 0.91-0.95), with sensitivities 96.9-99.1% and specificities 90.5-98.9%. Conversely, IgM seropositivity varied significantly: Abbott (18.6%) and NovaLisa (18.1%) were significantly higher than the silver standard (5.5%; p < 0.01), while Mindray (8.9%) and Roche (9.7%) aligned closer. IgM agreement was only fair-to-moderate (κ = 0.34-0.58). Avidity confirmed most isolated IgM-positive results did not reflect recent infection. CMV IgG detection is robust across platforms and suitable for clinical use. However, marked IgM discordance limits its standalone utility, supporting an IgG-based diagnostic strategy supplemented by avidity testing in high-prevalence populations.

Indexed as

Antibodies, ViralCytomegalovirusCytomegalovirus InfectionsImmunoglobulin GImmunoglobulin MAntibody AffinityEnzyme-Linked Immunosorbent AssayFemaleHumansMaleMiddle AgedPrevalenceSensitivity and SpecificityAntibodies, ViralImmunoglobulin GImmunoglobulin MCLIACMV IgGCMV IgMCytomegalovirusMindrayNovaLisa

Identifiers

PMID42056391
PMCPMC13314958

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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.