Evidence map›Paper›PMID 27171172›Full record

SynthesisClinical and translational science2016

Characterizing Class-Specific Exposure-Viral Load Suppression Response of HIV Antiretrovirals Using A Model-Based Meta-Analysis.

Y Xu, Y F Li, D Zhang, M Dockendorf, E Tetteh, M L Rizk, J A Grobler, M-T Lai, J Gobburu, W Ankrom

Abstract readMeta-Analysis
In one paragraph

Synthesis in Clinical and translational science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

10 authors.

Y XuMerck Sharp & Dohme Corp, Kenilworth, New Jersey, USA.
Y F LiMerck Sharp & Dohme Corp, Kenilworth, New Jersey, USA.
D ZhangMerck Sharp & Dohme Corp, Kenilworth, New Jersey, USA.
M DockendorfMerck Sharp & Dohme Corp, Kenilworth, New Jersey, USA.
E TettehMerck Sharp & Dohme Corp, Kenilworth, New Jersey, USA.
M L RizkMerck Sharp & Dohme Corp, Kenilworth, New Jersey, USA.
J A GroblerMerck Sharp & Dohme Corp, Kenilworth, New Jersey, USA.
M-T LaiMerck Sharp & Dohme Corp, Kenilworth, New Jersey, USA.
J GobburuCenter of Translational Science, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.
W AnkromMerck Sharp & Dohme Corp, Kenilworth, New Jersey, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We applied model-based meta-analysis of viral suppression as a function of drug exposure and in vitro potency for short-term monotherapy in human immunodeficiency virus type 1 (HIV-1)-infected treatment-naïve patients to set pharmacokinetic targets for development of nonnucleoside reverse transcriptase inhibitors (NNRTIs) and integrase strand transfer inhibitors (InSTIs). We developed class-specific models relating viral load kinetics from monotherapy studies to potency normalized steady-state trough plasma concentrations. These models were integrated with a literature assessment of doses which demonstrated to have long-term efficacy in combination therapy, in order to set steady-state trough concentration targets of 6.17- and 2.15-fold above potency for NNRTIs and InSTIs, respectively. Both the models developed and the pharmacokinetic targets derived can be used to guide compound selection during preclinical development and to predict the dose-response of new antiretrovirals to inform early clinical trial design.

Indexed as

Models, BiologicalAnti-HIV AgentsComputer SimulationHIV Integrase InhibitorsHumansReverse Transcriptase InhibitorsTime FactorsViral LoadAnti-HIV AgentsHIV Integrase InhibitorsReverse Transcriptase Inhibitors

Identifiers

PMID27171172
PMCPMC5351339

What OpenQuestion holds

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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.