Evidence mapPaperPMID 39403136Full record

ArticleFrontiers in pharmacology2024

A practical assessment protocol for clinically relevant P-glycoprotein-mediated drug-drug interactions.

Leonie Bogaard, Kayan Tsoi, Bas van de Steeg, Esther F A Brandon, Lisanne Geers, Margreet van Herwaarden, Frank Jansman, Dominique Maas, Margje Monster-Simons, David S Y Ong and 1 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Evaluation ofJournal of dietary supplements · 2026
    Article
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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

11 authors.

Leonie BogaardDepartment Clinical Decision Support, Health Base Foundation, Houten, Netherlands.
Kayan TsoiDepartment Clinical Decision Support, Health Base Foundation, Houten, Netherlands.
Bas van de SteegDepartment of Clinical Pharmacy, Canisius Wilhelmina Hospital, Nijmegen, Netherlands.
Esther F A BrandonDutch Medicines Evaluation Board, Utrecht, Netherlands.
Lisanne GeersDepartment of Clinical Pharmacy, Rijnstate Hospital, Arnhem, Netherlands.
Margreet van HerwaardenCommunity Pharmacy Groesbeek, Groesbeek, Netherlands.
Frank JansmanUnit of PharmacoTherapy, Epidemiology and Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, Netherlands.
Dominique MaasDepartment of Internal Medicine, Radboud University medical center, Nijmegen, Netherlands.
Margje Monster-SimonsDutch Medicines Evaluation Board, Utrecht, Netherlands.
David S Y OngDepartment of Medical Microbiology and Infection Control, Franciscus Gasthuis and Vlietland Hospital, Rotterdam, Netherlands.
Sander D BorgsteedeDepartment Clinical Decision Support, Health Base Foundation, Houten, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Drug-drug interactions (DDIs) may influence the effectiveness and safety of medication treatment, which may require additional monitoring, dose adjustment or avoidance of certain drugs. DDIs involving P-glycoprotein (P-gp) affect many drugs, but current official product information is often insufficient to guide the management of these DDIs in clinical practice. The aim of this paper is to describe a protocol to assess DDIs involving P-gp and to develop and implement practice recommendations for clinically relevant P-gp-mediated DDIs that affect clinical outcomes through changes in systemic drug exposure. Methods: A combined literature review and expert opinion approach will be used according to the following seven steps: set up an expert panel (step 1), establish core concepts and definitions (step 2), select potential P-gp-modulators (i.e., P-gp-inducers and -inhibitors) and P-gp-substrates to be evaluated (step 3), select and extract evidence-based data, and present findings in standardized assessment reports (step 4), discuss and adopt classifications and practice recommendations with the expert panel (step 5), publish and integrate information and alerts in clinical decision support systems (CDSS) (step 6), (re)assessments of DDIs and potential new DDIs when new information is available or when initiated by healthcare providers (step 7). Anticipated results: The expert panel will classify potential P-gp-modulators and -substrates as clinically relevant P-gp-inducer, -inhibitor and/or -substrate and draw conclusions about which combinations of classified modulators and substrates will lead to clinically relevant DDIs. This may include the extrapolation of conclusions for DDIs where limited or no data are available, based on the pharmacological characteristics of these drugs. For (potential) DDIs that are considered to be clinically relevant, practice recommendations will be developed. Discussion: This protocol describes a standardized, evidence- and expert opinion-based assessment of P-gp-mediated DDIs that affect clinical outcomes. This approach will generate alerts with practice recommendations for clinically relevant DDIs and transparent rationales for DDIs that are considered to be irrelevant. These recommendations will improve individual patient care by supporting healthcare professionals to make consistent decisions on how to manage P-gp mediated DDIs.

Indexed as

clinical decision supportdrug-drug interactionexpert opinionliterature reviewP-glycoproteinpractice recommendationsstudy protocol

Identifiers

PMID39403136
PMCPMC11472019

What Socratic holds

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Registered trials

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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 Socratic graph.