Evidence map›Paper›PMID 32377759›Full record

ArticleEuropean journal of clinical pharmacology2020

Prediction of the exposure to a 400-mg daily dose of efavirenz in pregnancy: is this dose adequate in extensive metabolisers of CYP2B6?

Manoranjenni Chetty, Michael P Danckwerts, Andrea Julsing

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Article in European journal of clinical pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. The LEAP Process: Streamlining the Development of Long-Acting Products and Formulations for Infectious Diseases.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  4. Review
  5. Review
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

3 authors.

Manoranjenni ChettyCertara UK Ltd, Simcyp Division, Sheffield, UK.
Michael P DanckwertsDepartment of Pharmacy and Pharmacology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. michael.danckwerts@wits.ac.za.ORCID http://orcid.org/0000-0002-7355-2549
Andrea JulsingDepartment of Pharmacy and Pharmacology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA daily dose of 400 mg of efavirenz (EFV) was recently shown to be 'not therapeutically inferior' to a 600-mg daily dose, while providing the added advantage of reduced toxicity risk and cost saving on chronic therapy. However, to our knowledge, the 400-mg dose has not been tested in pregnant women, although significant increases in clearance (CL/F) of EFV have been reported, particularly in CYP2B6 extensive metabolisers (EM).

methodsThis study used PBPK modelling to predict the exposure to a 400-mg dose in pregnant women, in CYP2B6 extensive metabolisers (EM), intermediate metabolisers (IM) and poor metabolisers (PM). The PBPK model was verified using available clinical pharmacokinetic data for a 600-mg dose of EFV in pregnancy and applied to the prediction of the pharmacokinetics of a 400-mg daily dose in pregnancy.

resultsResults predicted about a 2-fold increase in drug CL/F in the third trimester of pregnancy (T3) when compared with CL prior to pregnancy, which was as expected from clinical observations with the 600-mg dose.

conclusionThe recommended reduction in efavirenz dose from 600 to 400 mg may not provide therapeutic drug levels in EM patients during their T3 of pregnancy, which could lead to therapeutic failure. Clinical trials to evaluate the effectiveness of a 400-mg dose of EFV in T3, especially in EM patients, are needed.

Indexed as

Models, BiologicalAlkynesAnti-HIV AgentsBenzoxazinesCyclopropanesCytochrome P-450 CYP2B6FemaleHumansPregnancyAlkynesAnti-HIV AgentsBenzoxazinesCyclopropanesCYP2B6 protein, humanCytochrome P-450 CYP2B6efavirenzCYP2B6EfavirenzPBPK simulationPharmacokineticsPhenotypesPregnancy

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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.