Evidence map›Paper›PMID 21798607›Full record

ReviewTrends in biotechnology2012

Emerging technologies for point-of-care CD4 T-lymphocyte counting.

David S Boyle, Kenneth R Hawkins, Matthew S Steele, Mitra Singhal, Xuanhong Cheng

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. CD4Sensors (Basel, Switzerland) · 2026
    Pooled it
  2. Article
  3. Review
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  5. Article
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  7. Article
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  9. Article
  10. Review
  11. Article
  12. Review
  13. Near patient CD4 count in a hospitalized HIV patient population.Cytometry. Part B, Clinical cytometry · 2017
    Article
  14. Article
  15. Article
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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

5 authors.

David S BoyleProgram for Appropriate Technology in Health (PATH), Seattle, WA 98121, USA. dboyle@path.org
Kenneth R Hawkins
Matthew S Steele
Mitra Singhal
Xuanhong Cheng

Funding

TrainingU54EB007949 · NIBIB · PATH · PI WEIGL, BERNHARD H. · 2007 to 2011
$8.6M
Recombinase Polymerase Amplification for Point-of-Care Diagnosis of Infant HIV-1R01AI097038 · NIAID · PATH · PI BOYLE, DAVID SCOTT · 2011 to 2013
$1.2M
A Microfluidic Device for Label-free HIV Virion Count at Point of Care SettingsR21AI081638 · NIAID · LEHIGH UNIVERSITY · PI CHENG, XUANHONG · 2009 to 2010
$410k
NIAID NIH HHS 1R21AI081638NIAID NIH HHS R01 AI097038NIAID NIH HHS R21 AI081638NIBIB NIH HHS 1U54EB007949-01NIBIB NIH HHS U54 EB007949
6 · The paper itself

Abstract

A CD4 T-lymphocyte count determines eligibility for antiretroviral therapy (ART) in patients recently diagnosed with HIV and also monitors the efficacy of ART treatment thereafter. ART slows the progression of HIV to AIDS. In the developing world, CD4 tests are often performed in centralized laboratories, typically in urban areas. The expansion of ART programs into rural areas has created a need for rapid CD4 counting because logistical barriers can delay the timely dissemination of test results and affect patient care through delay in intervention or loss of follow-up care. CD4 measurement at the point-of-care (POC) in rural areas could help the facilitation of ART and monitoring of treatment. This review highlights recent technology developments with applications towards determining CD4 counts at the POC.

Indexed as

Health Services Needs and DemandAcquired Immunodeficiency SyndromeAnti-HIV AgentsBiological AssayCD4 Lymphocyte CountCD4-Positive T-LymphocytesFollow-Up StudiesHIV InfectionsHumansSensitivity and SpecificityAnti-HIV Agents

Identifiers

PMID21798607
PMCPMC3386801

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.