Evidence map›Paper›PMID 29365101›Full record

ArticleThe Journal of antimicrobial chemotherapy2018

Physiologically based pharmacokinetic modelling prediction of the effects of dose adjustment in drug-drug interactions between levonorgestrel contraceptive implants and efavirenz-based ART.

Owain Roberts, Rajith K R Rajoli, David J Back, Andrew Owen, Kristin M Darin, Courtney V Fletcher, Mohammed Lamorde, Kimberly K Scarsi, Marco Siccardi

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 18 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

9 authors at 4 institutions in 3 countries.

Owain RobertsDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, 70 Pembroke Place, Liverpool L69 3GF, UK.
Rajith K R RajoliDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, 70 Pembroke Place, Liverpool L69 3GF, UK.
David J BackDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, 70 Pembroke Place, Liverpool L69 3GF, UK.
Andrew OwenDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, 70 Pembroke Place, Liverpool L69 3GF, UK.
Kristin M DarinSchool of Professional Studies, Northwestern University, Chicago, IL, USA.
Courtney V FletcherCollege of Pharmacy, University of Nebraska Medical Center, Omaha, NE, USA.
Mohammed LamordeInfectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Kimberly K ScarsiCollege of Pharmacy, University of Nebraska Medical Center, Omaha, NE, USA.
Marco SiccardiDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, 70 Pembroke Place, Liverpool L69 3GF, UK.
University of Liverpool · GBUniversity of Nebraska Medical Center · USMakerere University · UGNorthwestern University · US

Funding

Pharmacological Strategies to use the Levonorgestrel Implant in HIV-infected WomenR01HD085887 · NICHD · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI SCARSI, KIMBERLY K. · 2015 to 2020
$1.4M
NICHD NIH HHS R01 HD085887
6 · The paper itself

Abstract

Background: HIV-positive women receiving efavirenz-based ART and levonorgestrel contraceptive implants are at risk of low levonorgestrel exposure and unintended pregnancy. Objectives: To investigate clinically applicable dose-adjustment strategies to overcome the known drug-drug interaction (DDI) between levonorgestrel and efavirenz, using a physiologically based pharmacokinetic (PBPK) modelling-based approach. Methods: A PBPK model was qualified against clinical data to predict levonorgestrel plasma concentrations when standard-dose (150 mg) levonorgestrel implants were administered alone (control group), as well as when standard-dose or increased-dose (300 mg) levonorgestrel implants were coadministered with either 600 or 400 mg of efavirenz. Results: No difference was seen between in vivo clinical and PBPK-model-simulated levonorgestrel plasma concentrations (P > 0.05). Simulated levonorgestrel plasma concentrations were ∼50% lower at 48 weeks post-implant-placement in virtual individuals receiving standard-dose levonorgestrel with either 600 or 400 mg of efavirenz compared with the control group (efavirenz:control geometric mean ratio = 0.42 and 0.49, respectively). Conversely, increased-dose levonorgestrel in combination with either 600 or 400 mg of efavirenz was sufficient to restore levonorgestrel concentrations to levels similar to those observed in the 150 mg levonorgestrel control group 48 weeks post-implant-placement (efavirenz:control geometric mean ratio = 0.86 and 1.03, respectively). Conclusions: These results suggest that the clinically significant DDI between efavirenz and levonorgestrel is likely to persist despite efavirenz dose reduction, whereas dose escalation of implantable levonorgestrel may represent a successful clinical strategy to circumvent efavirenz-levonorgestrel DDIs and will be of use to inform clinical trial design to assess coadministration of efavirenz and levonorgestrel implants.

Indexed as

Drug InteractionsAdolescentAdultAlkynesAntiretroviral Therapy, Highly ActiveBenzoxazinesContraceptive Agents, FemaleCyclopropanesFemaleHumansLevonorgestrelMiddle AgedModels, StatisticalPlasmaReverse Transcriptase InhibitorsYoung AdultAlkynesBenzoxazinesContraceptive Agents, FemaleCyclopropanesefavirenzLevonorgestrelReverse Transcriptase Inhibitors

Identifiers

PMID29365101
PMCPMC5890694
OpenAlexW2793658277

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.