Evidence map›Paper›PMID 19261189›Full record

ArticleJournal of the International AIDS Society2009

Development and evaluation of a clinical algorithm to monitor patients on antiretrovirals in resource-limited settings using adherence, clinical and CD4 cell count criteria.

David Meya, Lisa A Spacek, Hilda Tibenderana, Laurence John, Irene Namugga, Stephen Magero, Robin Dewar, Thomas C Quinn, Robert Colebunders, Andrew Kambugu and 1 more

Abstract read
In one paragraph

Article in Journal of the International AIDS Society, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Accuracy of measures for antiretroviral adherence in people living with HIV.The Cochrane database of systematic reviews · 2022
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  13. Measures of viral load using Abbott RealTime HIV-1 Assay on venous and fingerstick dried blood spots from provider-collected specimens in Malawian District Hospitals.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2014
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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

11 authors.

David MeyaInfectious Diseases Institute, Makerere University, Kampala, Uganda. laurence.karen@btinternet.com.
Lisa A Spacek
Hilda Tibenderana
Laurence John
Irene Namugga
Stephen Magero
Robin Dewar
Thomas C Quinn
Robert Colebunders
Andrew Kambugu
Steven J Reynolds

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
INTERNATIONAL STUDIES ON THE ACQUIRED IMMUNODEFICIENCY SYNDROMEZ01AI000361 · NIAID · NIAID EXTRAMURAL ACTIVITIES · PI QUINN, THOMAS · 1985 to 2008
$3.1M
International Center for Excellence in Research (ICER) in Uganda: Impact of ARVsZ01AI001040 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI QUINN, THOMAS · 2008 to 2008
$2.2M
6 · The paper itself

Abstract

backgroundRoutine viral load monitoring of patients on antiretroviral therapy (ART) is not affordable in most resource-limited settings.

methodsA cross-sectional study of 496 Ugandans established on ART was performed at the Infectious Diseases Institute, Kampala, Uganda. Adherence, clinical and laboratory parameters were assessed for their relationship with viral failure by multivariate logistic regression. A clinical algorithm using targeted viral load testing was constructed to identify patients for second-line ART. This algorithm was compared with the World Health Organization (WHO) guidelines, which use clinical and immunological criteria to identify failure in the absence of viral load testing.

resultsForty-nine (10%) had a viral load of >400 copies/mL and 39 (8%) had a viral load of >1000 copies/mL. An algorithm combining adherence failure (interruption >2 days) and CD4 failure (30% fall from peak) had a sensitivity of 67% for a viral load of >1000 copies/mL, a specificity of 82%, and identified 22% of patients for viral load testing. Sensitivity of the WHO-based algorithm was 31%, specificity was 87%, and would result in 14% of those with viral suppression (<400 copies/mL) being switched inappropriately to second-line ART.

conclusionAlgorithms using adherence, clinical and CD4 criteria may better allocate viral load testing, reduce the number of patients continued on failing ART, and limit the development of resistance.

Identifiers

PMID19261189
PMCPMC2664320

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Registered trials

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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.