Evidence map›Paper›PMID 19922681›Full record

Trial reportBMC public health2009

Quantifying the treatment efficacy of reverse transcriptase inhibitors: new analyses of clinical data based on within-host modeling.

Romulus Breban, Sonia Napravnik, James Kahn, Sally Blower

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 3 institutions in 1 country.

Romulus BrebanSemel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA 90024, USA. romulus.breban@pasteur.fr
Sonia Napravnik
James Kahn
Sally Blower
University of California, Los Angeles · USUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · US

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
HIV, TB, HSV 2--EMERGENCE OF DRUG RESISTANCER01AI041935 · NIAID · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI BLOWER, SALLY MARGARET · 1998 to 2012
$6.6M
Observational Cohort of HIV-Infected PersonsK24MH064384 · NIMH · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI KAHN, JAMES O · 2001 to 2005
$573k
NIAID NIH HHS P30 AI50410NIAID NIH HHS R01 AI041935NIMH NIH HHS K24MH064384
6 · The paper itself

Abstract

backgroundCurrent measures of the clinical efficacy of antiretroviral therapy (ART) in the treatment of HIV include the change in HIV RNA in the plasma and the gain in CD4 cells.

methodsWe propose new measures for evaluating the efficacy of treatment that is based upon combinations of non-nucleoside and nucleoside reverse transcriptase inhibitors. Our efficacy measures are: the CD4 gain per virion eliminated, the potential of CD4 count restoration and the viral reproduction number (R0). These efficacy measures are based upon a theoretical understanding of the impact of treatment on both viral dynamics and the immune reconstitution. Patient data were obtained from longitudinal HIV clinical cohorts.

resultsWe found that the CD4 cell gain per virion eliminated ranged from 10(-2) to 600 CD4 cells/virion, the potential of CD4 count restoration ranged from 60 to 1520 CD4 cells/microl, and the basic reproduction number was reduced from an average of 5.1 before therapy to an average of 1.2 after one year of therapy. There was substantial heterogeneity in these efficacy measures among patients with detectable viral replication. We found that many patients who achieved viral suppression did not have high CD4 cell recovery profiles. Our efficacy measures also enabled us to identify a subgroup of patients who were not virally suppressed but had the potential to reach a high CD4 count and/or achieve viral suppression if they had been switched to a more potent regimen.

conclusionWe show that our new efficacy measures are useful for analyzing the long-term treatment efficacy of combination reverse transcriptase inhibitors and argue that achieving a low R0 does not imply achieving viral suppression.

Indexed as

Models, BiologicalAnti-HIV AgentsCD4 Lymphocyte CountFemaleHIV InfectionsHumansMaleReverse Transcriptase InhibitorsRNA, ViralViral LoadAnti-HIV AgentsReverse Transcriptase InhibitorsRNA, Viral

Identifiers

PMID19922681
PMCPMC2779499
OpenAlexW2169879523

What OpenQuestion holds

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LicenceCC BY
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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.