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Performance of point-of-care CD4 testing technologies in resource-constrained settings: a systematic review and meta-analysis

Overview of attention for article published in BMC Infectious Diseases, October 2016
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Title
Performance of point-of-care CD4 testing technologies in resource-constrained settings: a systematic review and meta-analysis
Published in
BMC Infectious Diseases, October 2016
DOI 10.1186/s12879-016-1931-2
Pubmed ID
Authors

Minh D. Pham, Paul A. Agius, Lorena Romero, Peter McGlynn, David Anderson, Suzanne M. Crowe, Stanley Luchters

Abstract

Point-of-care (POC) CD4 testing increases patient accessibility to assessment of antiretroviral therapy eligibility. This review evaluates field performance in low and middle-income countries (LMICs) of currently available POC CD4 technologies. Eight electronic databases were searched for field studies published between January 2005 and January 2015 of six POC CD4 platforms: PointCare NOW™, Alere Pima™ CD4, Daktari™ CD4 Counter, CyFlow® CD4 miniPOC, BD FACSPresto™, and MyT4™ CD4. Due to limited data availability, meta-analysis was conducted only for diagnostic performance of Pima at a threshold of 350 cells/μl, applying a bivariate multi-level random-effects modelling approach. A covariate extended model was also explored to test for difference in diagnostic performance between capillary and venous blood. Twenty seven studies were included. Published field study results were found for three of the six POC CD4 tests, 24 of which used Pima. For Pima, test failure rates varied from 2 to 23 % across study settings. Pooled sensitivity and specificity were 0.92 (95 % CI = 0.88-0.95) and 0.87 (95 % CI = 0.85-0.88) respectively. Diagnostic performance by blood sample type (venous vs. capillary) revealed non-significant differences in sensitivity (0.94 vs 0.89) and specificity (0.86 vs 0.87), respectively in the extended model (Wald χ(2)(2) = 4.77, p = 0.09). POC CD4 testing can provides reliable results for making treatment decision under field conditions in low-resource settings. The Pima test shows a good diagnostic performance at CD4 cut-off of 350 cells/μl. More data are required to evaluate performance of POC CD4 testing using venous versus capillary blood in LMICs which might otherwise influence clinical practice.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 23%
Student > Master 9 16%
Other 6 11%
Student > Bachelor 4 7%
Student > Ph. D. Student 4 7%
Other 10 18%
Unknown 11 19%
Readers by discipline Count As %
Medicine and Dentistry 19 33%
Nursing and Health Professions 8 14%
Social Sciences 3 5%
Immunology and Microbiology 3 5%
Unspecified 2 4%
Other 9 16%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 November 2016.
All research outputs
#13,251,755
of 22,899,952 outputs
Outputs from BMC Infectious Diseases
#3,178
of 7,691 outputs
Outputs of similar age
#161,898
of 316,336 outputs
Outputs of similar age from BMC Infectious Diseases
#92
of 220 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,691 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,336 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.