Evidence map›Paper›PMID 20954840›Full record

ArticleAIDS research and human retroviruses2010

Comparison of methods to detect HIV dual infection.

Mary Pacold, Davey Smith, Susan Little, Pok Man Cheng, Parris Jordan, Caroline Ignacio, Douglas Richman, Sergei Kosakovsky Pond

Open access · greenAbstract readComparative Study
In one paragraph

Article in AIDS research and human retroviruses, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

28 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Frequency and implications of HIV superinfection.The Lancet. Infectious diseases · 2013
    Review
  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

8 authors at 2 institutions in 1 country.

Mary PacoldUniversity of California, San Diego, La Jolla, California 92093-0679, USA. mpacold@ucsd.edu
Davey Smith
Susan Little
Pok Man Cheng
Parris Jordan
Caroline Ignacio
Douglas Richman
Sergei Kosakovsky Pond
University of California, San Diego · USVA San Diego Healthcare System · US

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jamila Kinshasa Stockman · 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 Jessica Lynette Montoya · 2001 to 2026
$50.4M
Transmission ProbabilityP01AI074621 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2008 to 2012
$23.1M
Primary Infection Resource Consortium (PIRC)R24AI106039 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2013 to 2021
$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
HOPE Training GrantT32AI007384 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sara Gianella Weibel, Scott L Letendre · 1990 to 2026
$9.7M
A Multi-Site Investigation into the Effect of HIV Clade on Neurocognitive ImpairmR01MH083552 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2008 to 2012
$3.3M
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
NIAID NIH HHS AI07384NIAID NIH HHS AI074621NIAID NIH HHS AI077304NIAID NIH HHS AI080193NIAID NIH HHS AI69432NIAID NIH HHS P01 AI074621NIAID NIH HHS P01 AI080193NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI047745NIAID NIH HHS R21 AI077304NIAID NIH HHS R24 AI106039NIAID NIH HHS T32 AI007384NIMH NIH HHS MH083552NIMH NIH HHS MH62512NIMH NIH HHS R01 MH083552
6 · The paper itself

Abstract

Current methods to detect intraclade HIV dual infection are poorly suited for determining its prevalence in large cohorts. To investigate the potential of ultra-deep sequencing to screen for dual infection, we compared it to bulk sequence-based synonymous mixture index and the current standard of single genome sequencing. The synonymous mixture index identified samples likely to harbor dual infection, while ultra-deep sequencing captured more intra-host viral diversity than single genome sequencing at approximately 40% of the cost and 20% of the laboratory and analysis time. The synonymous mixture index and ultra-deep sequencing are promising methods for rapid and cost-effective systematic identification of HIV dual infection.

Indexed as

Genetic VariationAdultCluster AnalysisHigh-Throughput Nucleotide SequencingHIVHIV InfectionsHumansMaleMiddle AgedMolecular Sequence DataSequence Analysis, DNASequence HomologyVirology

Identifiers

PMID20954840
PMCPMC3011997
OpenAlexW1976350202

What OpenQuestion holds

Textmetadata
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.