Evidence map›Paper›PMID 18635757›Full record

ArticleJournal of clinical pharmacology2008

Practical therapeutic drug management in HIV-infected patients: use of population pharmacokinetic models supplemented by individualized Bayesian dose optimization.

Michael Neely, Roger Jelliffe

Open access · greenAbstract readCase Reports
In one paragraph

Article in Journal of clinical pharmacology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

26 citing papers in PubMed, 55 citations in OpenAlex.

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  5. Training the next generation of pharmacometric modelers: a multisector perspective.Journal of pharmacokinetics and pharmacodynamics · 2024
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  10. Clinical pharmacology applications in clinical drug development and clinical care: A focus on Saudi Arabia.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020
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  18. Are vancomycin trough concentrations adequate for optimal dosing?Antimicrobial agents and chemotherapy · 2014
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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

2 authors at 1 institution in 1 country.

Michael NeelyLaboratory of Applied Pharmacokinetics, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Roger Jelliffe
University of Southern California · US

Funding

Populaton Pharmacokinetic Modeling and Optimal ControlR01GM068968 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NEELY, MICHAEL N. · 2003 to 2015
$3.9M
Optimizing Coordinated Combination Drug TherapyR01EB005803 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JELLIFFE, ROGER W. · 2006 to 2009
$2.2M
NIBIB NIH HHS R01 EB005803NIGMS NIH HHS R01 GM068968
6 · The paper itself

Abstract

Individualized, model-based, target-oriented optimal concentration-controlled dosing of HIV medications can be beneficial to patients for whom there are limited dosing guidelines, such as children, adolescents, or patients with altered physiologic function. Barriers to this approach include lack of training, expertise, and access to appropriate software to assist the clinician. The authors present 4 illustrative clinical cases of HIV-infected patients whose therapy was optimized using population pharmacokinetic models (here generated from published studies) and supplemented by individualized Bayesian adaptive control of dosage regimens as implemented in the MM-USCPACK software. These 4 cases illustrate how clinicians can maximize therapeutic success in (1) patients with reduced drug clearance, (2) young adolescents transitioning to adult physiology, (3) patients with dose-dependent toxicity, and (4) adolescents with limited therapeutic options.

Indexed as

Bayes TheoremComputer SimulationModels, BiologicalAdolescentAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveChildDrug Resistance, ViralFemaleHIV InfectionsHumansMaleMiddle AgedReverse Transcriptase InhibitorsSoftwareAnti-HIV AgentsReverse Transcriptase Inhibitors

Identifiers

PMID18635757
PMCPMC2724306
OpenAlexW2087509275

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.