Evidence map›Paper›PMID 19770802›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2010

Pooled nucleic acid testing to identify antiretroviral treatment failure during HIV infection.

Susanne May, Anthony Gamst, Richard Haubrich, Constance Benson, Davey M Smith

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
  2. Article
  3. ExploringFrontiers in public health · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Improvement of Sensitivity of Pooling Strategies for COVID-19.Computational and mathematical methods in medicine · 2021
    Article
  11. Review
  12. Article
  13. Group testing case identification with biomarker information.Computational statistics & data analysis · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Developments in CD4 and viral load monitoring in resource-limited settings.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2014
    Review
  19. Article
  20. Article
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.

Susanne MayDivision of Biostatistics and Bioinformatics, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA, USA. sjmay@u.washington.edu
Anthony Gamst
Richard Haubrich
Constance Benson
Davey M Smith

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SONIA JAIN · 1994 to 2026
$78.4M
STRUCTURAL NEUROIMAGING COREP30MH062512 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jessica Lynette Montoya · 2001 to 2026
$50.4M
Southern California Primary Infection ProgramU01AI043638 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 1998 to 2010
$21.3M
WOMEN'S HEALTH AGENDAU01AI027670 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENSON, CONSTANCE ANN · 1988 to 2006
$13.7M
STATISTICAL ISSUES IN AIDS RESEARCHR37AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI JAMES P HUGHES · 1999 to 2026
$9.8M
STATISTICAL ISSUES IN AIDS RESEARCHR01AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI HUGHES, JAMES P · 1989 to 2018
$5.3M
Biomathematical analysis of viral dynamics/evolutionR01AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 2001 to 2011
$3.2M
ANTIVIRAL RESISTANCE IN AIDSR37AI029164 · NIAID · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI RICHMAN, DOUGLAS D · 1994 to 2004
$2.0M
Improving Antiretroviral Management for HIVK24AI064086 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAUBRICH, RICHARD H · 2006 to 2015
$1.8M
Modeling HIV Escape from Neutralizing Antibody ResponesR01AI057167 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FROST, SIMON DAVID WILLIAM · 2004 to 2008
$1.2M
Compartmentalization of HIV within the genital tractK23AI055276 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2003 to 2007
$585k
Assessing the Clinical Consequences of HIV Drug ResistanceR21AI080397 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAUBRICH, RICHARD H · 2008 to 2009
$425k
NIAID NIH HHS AI080353NIAID NIH HHS AI27670NIAID NIH HHS AI29164NIAID NIH HHS AI 36214NIAID NIH HHS AI43638NIAID NIH HHS AI47745NIAID NIH HHS AI55276NIAID NIH HHS AI57167NIAID NIH HHS K23 AI055276NIAID NIH HHS K24 AI064086NIAID NIH HHS K24-AI064086NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI029168NIAID NIH HHS R01 AI047745NIAID NIH HHS R01 AI057167NIAID NIH HHS R21 AI047745NIAID NIH HHS R21 AI080353NIAID NIH HHS R21 AI080397NIAID NIH HHS R37 AI029164NIAID NIH HHS R37 AI029168NIAID NIH HHS R56 AI047745NIAID NIH HHS U01 AI027670NIAID NIH HHS U01 AI043638NIMH NIH HHS MH62512NIMH NIH HHS P30 MH062512
6 · The paper itself

Abstract

backgroundPooling strategies have been used to reduce the costs of polymerase chain reaction-based screening for acute HIV infection in populations in which the prevalence of acute infection is low (less than 1%). Only limited research has been done for conditions in which the prevalence of screening positivity is higher (greater than 1%). METHODS AND

resultsWe present data on a variety of pooling strategies that incorporate the use of polymerase chain reaction-based quantitative measures to monitor for virologic failure among HIV-infected patients receiving antiretroviral therapy. For a prevalence of virologic failure between 1% and 25%, we demonstrate relative efficiency and accuracy of various strategies. These results could be used to choose the best strategy based on the requirements of individual laboratory and clinical settings such as required turnaround time of results and availability of resources.

conclusionsVirologic monitoring during antiretroviral therapy is not currently being performed in many resource-constrained settings largely because of costs. The presented pooling strategies may be used to significantly reduce the cost compared with individual testing, make such monitoring feasible, and limit the development and transmission of HIV drug resistance in resource-constrained settings. They may also be used to design efficient pooling strategies for other settings with quantitative screening measures.

Indexed as

Models, BiologicalAnti-HIV AgentsComputer SimulationDrug Resistance, ViralHIV InfectionsHumansPolymerase Chain ReactionRNA, ViralSpecimen HandlingViral LoadVirus ReplicationAnti-HIV AgentsRNA, Viral

Identifiers

PMID19770802
PMCPMC2915780

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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.