Evidence map›Paper›PMID 14601580›Full record

ArticleAIDS research and human retroviruses2003

Protease and reverse transcriptase mutation patterns in HIV type 1 isolates from heavily treated persons: comparison of isolates from Northern California with isolates from other regions.

Matthew J Gonzales, Ilana Belitskaya, Kathryn M Dupnik, Soo-Yon Rhee, Robert W Shafer

Open access · greenAbstract read
In one paragraph

Article in AIDS research and human retroviruses, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Matthew J GonzalesDivision of Infestious Diseases, Department of Medicine, Stanford University Medical Center, Stanford, CA 94305, USA.
Ilana Belitskaya
Kathryn M Dupnik
Soo-Yon Rhee
Robert W Shafer
Stanford University · US

Funding

Targeting ensembles of Drug Resistant HIV ProteasesP01GM066524 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI RANA, TARIQ M · 2002 to 2011
$16.3M
Vanderbilt-Emory-Cornell-Duke Consortium for Global Health Fellows (VECDor)R25TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, VERMUND, STEN H. · 2012 to 2016
$6.3M
IDENTIFICATION OF MULTIDRUG RESISTANT HIV1 ISOLATESR01AI046148 · NIAID · STANFORD UNIVERSITY · PI SHAFER, ROBERT WILLIAM · 1999 to 2008
$2.4M
FIC NIH HHS R25 TW009337NIAID NIH HHS R01 AI046148NIGMS NIH HHS P01 GM066524
6 · The paper itself

Abstract

We compared HIV-1 subtype B reverse transcriptase (RT) and protease mutation patterns in isolates from heavily treated persons in Northern California with those from persons described in the published literature predominantly from other parts of the United States and Europe. There were few differences in the prevalence of single, double, and triple mutations between the two sets of sequences. More complex patterns of mutations could be characterized by clustering the sequences into eight groups of RT sequences and nine groups of protease sequences according to the presence of known drug-resistance mutations. This clustering accounted for 63% of the variation at RT inhibitor-resistance positions and 68% of the variation at protease inhibitor-resistance positions. The majority of clusters contained Northern California and literature sequences in similar proportions.

Indexed as

CaliforniaGenome, ViralHIV-1HIV ProteaseHIV Reverse TranscriptaseHumansMolecular Sequence DataMutationHIV ProteaseHIV Reverse Transcriptase

Identifiers

PMID14601580
PMCPMC2547469
OpenAlexW2030284869

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.