Evidence map›Paper›PMID 20109463›Full record

ArticleJournal of immunological methods2010

T-cell enumeration from dried blood spots by quantifying rearranged T-cell receptor-beta genes.

Andrew D Redd, Emily J Ciccone, Gertrude Nakigozi, Jeanne C Keruly, Anthony Ndyanabo, Boaz Iga, Ronald H Gray, David Serwadda, Thomas C Quinn

Abstract readMulticenter Study
In one paragraph

Article in Journal of immunological methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

9 authors at 4 institutions in 2 countries.

Andrew D ReddLaboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA. aredd2@jhmi.edu
Emily J Ciccone
Gertrude Nakigozi
Jeanne C Keruly
Anthony Ndyanabo
Boaz Iga
Ronald H Gray
David Serwadda
Thomas C Quinn
National Institute of Allergy and Infectious Diseases · USRakai Health Sciences Program · UGJohns Hopkins University · USMakerere University · UG

Funding

International Center for Excellence in Research (ICER) in Uganda: Impact of ARVsZIAAI001040 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REYNOLDS, STEVEN · 2009 to 2025
$23.5M
International Studies of the Acquired Immune Deficiency Syndrome (AIDS)ZIAAI000361 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REDD, ANDREW · 2009 to 2025
$15.8M
Intramural NIH HHS Z99 AI999999
6 · The paper itself

Abstract

Significant hurdles remain to large-scale implementation of medical interventions in the developing world due to the lack of a modern diagnostic infrastructure. This is especially pertinent to the international roll-out of antiretroviral drugs to treat HIV, which ideally includes a CD4 T-cell count to determine eligibility. We designed a novel technique to estimate mature T-cell numbers by calculating the amount of rearranged T-cell receptor beta genes from dried blood spots of HIV-infected individuals in the United States and Uganda. It was observed that the rearranged T-cell receptor beta count correlated well with total lymphocyte counts from both study populations (Baltimore R=0.602, Uganda R=0.497; p<0.001) and the ability for this measurement to determine antiretroviral initiation was similar to total lymphocyte counts, which can be used to determine eligibility in HIV+children. This technique as well as other dried blood spot based technologies could increase the diagnostic and monitoring capabilities in resource-limited settings.

Indexed as

Blood Specimen CollectionCD4 Lymphocyte CountDeveloping CountriesGene Rearrangement, beta-Chain T-Cell Antigen ReceptorPolymerase Chain ReactionAdultAnti-Retroviral AgentsCD4-Positive T-LymphocytesFemaleHIV InfectionsHumansMaleMiddle AgedPatient SelectionPredictive Value of TestsReproducibility of ResultsAnti-Retroviral Agents

Identifiers

PMID20109463
PMCPMC2844472
OpenAlexW2087158707

What OpenQuestion holds

Textmetadata
LicenceTDM
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.