Evidence map›Paper›PMID 20649427›Full record

ReviewThe Journal of infectious diseases2010

Minority variants of drug-resistant HIV.

Sara Gianella, Douglas D Richman

Abstract readReview
In one paragraph

Review in The Journal of infectious diseases, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Full-spectrum HIV drug resistance mutation detection by high-resolution complete pol gene sequencing.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. MiDRMViruses · 2019
    Article
  16. Review
  17. Article
  18. Article
  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

2 authors.

Sara GianellaDepartments of Pathology and Medicine, University of California-San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0679, USA.
Douglas D Richman

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI David Mitchell Smith · 1994 to 2026
$78.4M
UCSD Department of Medicine HIV/AIDS Clinical Trials UnitUM1AI069432 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TIMOTHY J. WILKIN · 2012 to 2026
$50.4M
STRUCTURAL NEUROIMAGING COREP30MH062512 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DAVID J MOORE · 2001 to 2026
$50.4M
Transmission ProbabilityP01AI074621 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 2008 to 2012
$23.1M
UCSD Department of Medicine HIV/AIDS Clinical Trials UnitU01AI069432 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENSON, CONSTANCE ANN · 2007 to 2011
$19.3M
Biomathematical analysis of viral dynamics/evolutionR01AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 2001 to 2011
$3.2M
Targeting regulators of cellular gene transcription to impact HIV latencyP01AI080193 · NIAID · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI RICHMAN, DOUGLAS D · 2009 to 2010
$1.8M
Detection and Characterization of HIV-1 Intraclade Dual InfectionR21AI077304 · NIAID · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI SMITH, DAVID MITCHELL · 2008 to 2009
$381k
Biomathematical Analysis of Viral Dynamics and EvolutionR56AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POND, SERGEI L KOSAKOVSKY · 2012 to 2012
$365k
BIOMATHEMATICAL ANALYSIS OF VIRAL DYNAMICS AND EVOLUTIONR21AI047745 · NIAID · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI RICHMAN, DOUGLAS D · 2000 to 2000
$308k
NIAID NIH HHS AI047745NIAID NIH HHS AI074621NIAID NIH HHS AI077304NIAID NIH HHS AI080193NIAID NIH HHS AI36214NIAID NIH HHS AI69432NIAID NIH HHS P01 AI074621NIAID NIH HHS P01 AI080193NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI047745NIAID NIH HHS R21 AI047745NIAID NIH HHS R21 AI077304NIAID NIH HHS R56 AI047745NIAID NIH HHS U01 AI069432NIAID NIH HHS UM1 AI069432NIMH NIH HHS MH62512NIMH NIH HHS P30 MH062512
6 · The paper itself

Abstract

Minor drug-resistant variants exist in every patient infected with human immunodeficiency virus (HIV). Because these minority variants are usually present at very low levels, they cannot be detected and quantified using conventional genotypic and phenotypic tests. Recently, several assays have been developed to characterize these low-abundance drug-resistant variants in the large, genetically complex population that is present in every HIV-infected individual. The most important issue is what results generated by these assays can predict clinical or treatment outcomes and might guide the management of patients in clinical practice. Cutoff values for the detection of these low-abundance viral variants that predict an increased risk of treatment failure should be determined. These thresholds may be specific for each mutation and treatment regimen. In this review, we summarize the attributes and limitations of the currently available detection assays and review the existing information about both acquired and transmitted drug-resistant minority variants.

Indexed as

HIV-1MutationAnti-HIV AgentsDrug Resistance, ViralHIV InfectionsHumansMicrobial Sensitivity TestsAnti-HIV Agents

Identifiers

PMID20649427
PMCPMC2916955

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.