Evidence map›Paper›PMID 42170807›Full record

Observational studyCPT: pharmacometrics & systems pharmacology2026

External Evaluation of Population Pharmacokinetic Models of Cabotegravir, During Its Oral and Intramuscular Administration in HIV-Infected Patients.

Quentin Renou, Nadège Néant, Alexandre Destere, Jennifer Lagoutte-Renosi, Matthieu Grégoire, François Parant, Sébastien Lalanne, Florian Lemaitre, Peggy Gandia, Nicolas Venisse and 7 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Observational
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

17 authors.

Quentin RenouUnité des Virus Émergents (UVE: Aix-Marseille Univ-IRD 190-Inserm 1207), Marseille, France.ORCID https://orcid.org/0009-0005-6019-1288
Nadège NéantAPHM, Hôpital La Timone, Laboratoire de Pharmacocinétique et Toxicologie, Unité des Virus Émergents (UVE: Aix-Marseille Univ-IRD 190-Inserm 1207), Marseille, France.ORCID https://orcid.org/0000-0002-9193-1120
Alexandre DestereDepartment of Clinical Pharmacology, Université Côte d'Azur Medical Centre, Nice, France.ORCID https://orcid.org/0000-0001-6147-9201
Jennifer Lagoutte-RenosiUniversité Marie et Louis Pasteur, CHU Besançon, SINERGIES (UR 4662), Besançon, France.ORCID https://orcid.org/0000-0003-2405-4778
Matthieu GrégoireNantes Université, CHU Nantes, Service de Pharmacologie Clinique, Nantes, France.ORCID https://orcid.org/0000-0003-1232-5761
François ParantHospices Civils de Lyon, Groupement Hospitalier Sud, Service de Biochimie et Biologie Moléculaire, UM Pharmacologie-Toxicologie, Pierre-Benite, France.ORCID https://orcid.org/0000-0002-4019-532X
Sébastien LalanneUniv Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, Rennes, France.ORCID https://orcid.org/0000-0001-5062-1030
Florian LemaitreUniv Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, Rennes, France.ORCID https://orcid.org/0000-0002-0908-3629
Peggy GandiaINTHERES, Université de Toulouse, INRAE, ENVT, Toulouse, France.ORCID https://orcid.org/0000-0002-4385-7894
Nicolas VenisseUniversité de Poitiers, CNRS - UMR 7267, CHU de Poitiers, Service de Toxicologie et Pharmacocinétique et INSERM-CIC 1402, Poitiers, France.ORCID https://orcid.org/0000-0002-7466-6388
Stéphane BouchetLaboratoire de Pharmacologie et Toxicologie, Service de Pharmacologie Médicale, CHU Pellegrin, INSERM U1219, Bordeaux, France.ORCID https://orcid.org/0000-0002-2214-5505
Minh P LêAP-HP Nord, Pharmacology Department, Bichat Claude-Bernard University Hospital, Paris, France.ORCID https://orcid.org/0000-0002-4670-8288
Patrice MuretUniversité Marie et Louis Pasteur, CHU Besançon, SINERGIES (UR 4662), Besançon, France.ORCID https://orcid.org/0000-0003-1347-9228
Gilles PeytavinAP-HP Nord, Pharmacology Department, Bichat Claude-Bernard University Hospital, Paris, France.ORCID https://orcid.org/0000-0002-4359-537X
Caroline SolasAPHM, Hôpital La Timone, Laboratoire de Pharmacocinétique et Toxicologie, Unité des Virus Émergents (UVE: Aix-Marseille Univ-IRD 190-Inserm 1207), Marseille, France.
Sihem BenaboudService de Pharmacologie Clinique, Hôpital Cochin, AP-HP, Université Paris Cité, Paris, France.ORCID https://orcid.org/0009-0004-1062-2994
CARLA Study Group

Funding

Agence Nationale de Recherches sur le Sida et les Hépatites Virales (ANRS)/Maladies Infectieuses Emergentes ANRS 0255Agence Nationale de Recherches sur le Sida et les Hépatites Virales (ANRS)/Maladies Infectieuses Emergentes ANRS 0691b
6 · The paper itself

Abstract

Cabotegravir (CAB), combined with rilpivirine, is the first long-acting injectable therapy approved for HIV-1 maintenance treatment. While adherence and patient satisfaction have been improved, pharmacokinetic (PK) variability remains a concern. Two population PK models have been developed: one based on data from phase I-III trials and the other on routine clinical data. However, neither model has undergone thorough external evaluation. The aim of this study was to evaluate the predictive performance of these models using an independent prospective dataset to evaluate their suitability to support model-informed precision dosing (MIPD). External validation was performed using data from the French observational and multicenter (n = 14) ANRS0255 CARLAPOP study (736 HIV-infected patients, representing 2192 concentrations). Models were implemented using MONOLIX software and evaluated using goodness-of-fit, prediction-based, and simulation-based diagnostics. For Han's model, regarding plasma concentrations following intramuscular administration, Median Prediction Error (MDPE) was -1.2% (PRED) and -4.4% (IPRED); Median Absolute Prediction Error (MDAPE) was 36.6% (PRED) and 17.9% (IPRED). For Thoueille's model, MDPE was -24.2% (PRED) and -9.2% (IPRED); MDAPE was 39.0% (PRED) and 15.3% (IPRED). However, < 70% of predictions were within a 20% error margin with both models. Graphical analyses of Thoueille's model showed systemic bias, particularly in women, nonsmokers, and patients with higher body mass index. Therefore, neither model was considered reliable enough for MIPD application in our population. Although Han et al.'s model demonstrated higher predictive performances, further improvements are required before it can be reliably applied for MIPD in daily routine.

Indexed as

Anti-HIV AgentsHIV InfectionsModels, BiologicalPyridonesAdministration, OralAdultDiketopiperazinesFemaleHumansInjections, IntramuscularMaleMiddle AgedProspective StudiesSoftware ValidationAnti-HIV AgentscabotegravirDiketopiperazinesPyridonesantiretroviral therapycabotegravirexternal evaluationHIVpopulation pharmacokinetic

Identifiers

PMID42170807
PMCPMC13239761

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.