Evidence map›Paper›PMID 31952516›Full record

ArticleBMC infectious diseases2020

Clinical experience with a novel assay measuring cytomegalovirus (CMV)-specific CD4+ and CD8+ T-cell immunity by flow cytometry and intracellular cytokine staining to predict clinically significant CMV events.

Ralph Rogers, Kapil Saharia, Aditya Chandorkar, Zoe F Weiss, Kendra Vieira, Sophia Koo, Dimitrios Farmakiotis

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% of its field
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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  4. The immune response to human cytomegalovirus: impact of age, co-morbidities and the significance of anti-viral activity assessment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Ralph RogersDivision of Infectious Diseases, Department of Internal Medicine, Warren Alpert Medical School of Brown University, 593 Eddy Street, Gerry House 111, Providence, RI, 02903, USA.
Kapil SahariaDivision of Infectious Diseases and Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
Aditya ChandorkarDivision of Infectious Diseases and Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
Zoe F WeissDivision of Infectious Diseases, Department of Internal Medicine, Warren Alpert Medical School of Brown University, 593 Eddy Street, Gerry House 111, Providence, RI, 02903, USA.
Kendra VieiraDivision of Infectious Diseases, Department of Internal Medicine, Warren Alpert Medical School of Brown University, 593 Eddy Street, Gerry House 111, Providence, RI, 02903, USA.
Sophia KooDivision of Infectious Diseases, Department of Internal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Dimitrios FarmakiotisDivision of Infectious Diseases, Department of Internal Medicine, Warren Alpert Medical School of Brown University, 593 Eddy Street, Gerry House 111, Providence, RI, 02903, USA. dimitrios.farmakiotis@lifespan.org.ORCID http://orcid.org/0000-0001-8489-108X
Brown University · USBrigham and Women's Hospital · USUniversity of Maryland, Baltimore · US

Funding

Brown Physicians Inc Academic Assessment Grant
6 · The paper itself

Abstract

backgroundCytomegalovirus (CMV) infection is one of the most common opportunistic infections following organ transplantation, despite administration of CMV prophylaxis. CMV-specific T-cell immunity (TCI) has been associated with reduced rates of CMV infection. We describe for the first time clinical experience using the CMV T-Cell Immunity Panel (CMV-TCIP), a commercially available assay which measures CMV-specific CD4+ and CD8+ T-cell responses, to predict clinically significant CMV events.

methodsAdult (> 18-year-old) patients with CMV-TCIP results and ≥ 1 subsequent assessment for CMV DNAemia were included at Brown University and the University of Maryland Medical Center-affiliated hospitals between 4/2017 and 5/2019. A clinically significant CMV event was defined as CMV DNAemia prompting initiation of treatment. We excluded indeterminate results, mostly due to background positivity, allogeneic hematopoetic cell transplant (HCT) recipients, or patients who were continued on antiviral therapy against CMV irrespective of the CMV-TCIP result, because ongoing antiviral therapy could prevent a CMV event.

resultsWe analyzed 44 samples from 37 patients: 31 were solid organ transplant recipients, 4 had hematologic malignancies, 2 had autoimmune disorders. The CMV-protection receiver operating characteristic (ROC) area under the curve (AUC) was significant for %CMV-specific CD4+ (AUC: 0.78, P < 0.001) and borderline for CD8+ (AUC: 0.66, P = 0.064) T-cells. At a cut-off value of 0.22% CMV-specific CD4+ T-cells, positive predictive value (PPV) for protection against CMV was 85% (95%CI 65-96%), and negative predictive value (NPV) was 67% (95%CI 41-87%).

conclusionsThe CMV-TCIP, in particular %CMV-specific CD4+ T-cells, showed good diagnostic performance to predict CMV events. The CMV-TCIP may be a useful test in clinical practice, and merits further validation in larger prospective studies.

Indexed as

AdultAgedArea Under CurveCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCytokinesCytomegalovirusCytomegalovirus InfectionsFemaleFlow CytometryHematologic NeoplasmsHumansImmunoassayLinear ModelsMaleMiddle AgedCytokinesCMVCytomegalovirusImmunoassaysTransplantation(val)ganciclovir

Identifiers

PMID31952516
PMCPMC6969482
OpenAlexW3005805071

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.