Evidence map›Paper›PMID 29881808›Full record

ArticleEpilepsia open2018

Development of EpiRisk: An online clinical tool for estimating the risk of major congenital malformations in pregnant women treated for epilepsy.

Gabriel Davis Jones, Alison Hitchcock, Frank Vajda, John Craig, Terence J O'Brien, Arjune Sen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epilepsia open, 2018. 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, top 97% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 2 countries.

Gabriel Davis JonesOxford Epilepsy Research Group NIHR Biomedical Research Centre Nuffield Department of Clinical Neurosciences John Radcliffe Hospital and The University of Oxford Oxford United Kingdom.
Alison HitchcockThe Departments of Medicine and Neurology The Royal Melbourne Hospital The University of Melbourne Parkville Victoria Australia.
Frank VajdaThe Departments of Medicine and Neurology The Royal Melbourne Hospital The University of Melbourne Parkville Victoria Australia.
John CraigUK Epilepsy & Pregnancy Register Belfast United Kingdom.
Terence J O'BrienThe Departments of Medicine and Neurology The Royal Melbourne Hospital The University of Melbourne Parkville Victoria Australia.
Arjune SenOxford Epilepsy Research Group NIHR Biomedical Research Centre Nuffield Department of Clinical Neurosciences John Radcliffe Hospital and The University of Oxford Oxford United Kingdom.
Oxford BioMedica (United Kingdom) · GBUniversity of Melbourne · AUMonash Alfred Psychiatry Research centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antiepileptic drugs (AEDs) are known to associate with an increased risk of major congenital malformations (MCMs) in children born to women who become pregnant while taking them. As the indications for AEDs continue to diversify, novel AEDs emerge, and polytherapy becomes more prevalent, the volume and complexity of the information relating to teratogenic risk can become unmanageable for the clinician. This in turn makes accurate education of pregnant women treated with AEDs regarding the risk of MCMs challenging. To enable clinicians to provide better information regarding the potential teratogenic risk of AEDs, we outline here the method we have employed to underpin a new system of real-time risk analysis, "

Indexed as

Antiepileptic drugsAppClinical toolEpilepsyPregnancyTeratogenicity

Identifiers

PMID29881808
PMCPMC5983143
OpenAlexW2793091388

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.