Evidence map›Paper›PMID 33309232›Full record

ArticleEpilepsy & behavior : E&B2021

Inconsistent reporting of drug-drug interactions for hormonal contraception and antiepileptic drugs - Implications for reproductive health for women with epilepsy.

Barbara M Decker, Emily K Acton, Kathryn A Davis, Allison W Willis

Open access · greenAbstract read
In one paragraph

Article in Epilepsy & behavior : E&B, 2021. 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
1.3field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Barbara M DeckerDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: Barbara.decker@pennmedicine.upenn.edu.
Emily K ActonDepartment of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Kathryn A DavisDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA; Center for Neuroengineering and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Allison W WillisDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA. Electronic address: Allison.willis2@pennmedicine.upenn.edu.
University of Pennsylvania · US

Funding

Neurologic Clinical Epidemiology Training ProgramT32NS061779 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Andrea Lauren Christman Schneider, Allison Willis · 2008 to 2026
$4.6M
Impact of Anticholinergic and Dopamine Receptor Blocking Drug Exposure on Parkinson Disease Trajectory and OutcomesR01NS099129 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI WILLIS, ALLISON · 2017 to 2021
$2.9M
Localizing epileptic networks using novel 7T MRI glutamate imagingK23NS092973 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVIS, KATHRYN ADAMIAK · 2016 to 2020
$980k
NINDS NIH HHS K23 NS092973NINDS NIH HHS R01 NS099129NINDS NIH HHS T32 NS061779
6 · The paper itself

Abstract

Drug compendia are the source of safety prescribing information. We assessed the reporting concordance of drug-drug interactions between hormonal contraception and antiepileptic drugs (AEDs) among eight leading international drug compendia. Antiepileptic drugs reported to interact with ≥1 form of hormonal contraception were reviewed. Scaled concordance was quantified using linearly weighted percent agreement (wPA). Differences in interaction severity rankings between hormonal contraception forms were evaluated using the Wilcoxon signed-rank test. There was high agreement among compendia for interactions of combined hormonal contraception interactions with AEDs (wPA = 0.82-0.84), especially potent enzyme-inducing AEDs (wPA = 0.89). However, concordance was reduced for AED interactions with progestin-only contraception (wPA = 0.69-0.81). Extreme interaction reporting discrepancies were found for less potent enzyme-inducing AEDs. The greatest variability in interaction reporting was observed for injectable and intrauterine contraception (wPA = 0.69 and 0.70, respectively), which are the only hormonal contraception options currently classified as not interacting with enzyme-inducing AEDs. Drug-drug interaction reporting variability can have major clinical implications and highlights critical knowledge gaps in the care of women with epilepsy of childbearing age. Further research on AED-contraceptive interactions is needed to standardize compendia reporting and enhance evidence-based clinical guidelines for women with epilepsy.

Indexed as

EpilepsyPharmaceutical PreparationsAnticonvulsantsContraceptionDrug InteractionsFemaleHormonal ContraceptionHumansReproductive HealthAnticonvulsantsPharmaceutical PreparationsAntiepileptic drugsDrug compendiaDrug–drug interactionsHormonal contraceptionPharmacoepidemiologyWomen with epilepsy

Identifiers

PMID33309232
PMCPMC7855647
OpenAlexW3111524001

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.