Evidence map›Paper›PMID 34852983›Full record

Trial reportSeizure2022

Risk of seizure recurrence in people with single seizures and early epilepsy - Model development and external validation.

Laura J Bonnett, Lois Kim, Anthony Johnson, Josemir W Sander, Nicholas Lawn, Ettore Beghi, Maurizio Leone, Anthony G Marson

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Seizure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Review
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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

8 authors at 7 institutions in 4 countries.

Laura J BonnettDepartment of Health Data Science, University of Liverpool, Block B, Waterhouse Building, Brownlow Hill, Liverpool L69 3GL United Kingdom. Electronic address: L.J.Bonnett@liverpool.ac.uk.
Lois KimCardiovascular Epidemiology Unit, Strangeways Research Laboratory, University of Cambridge, Wort's Causeway, Cambridge CB1 8RN, United Kingdom. Electronic address: lois.kim@medschl.cam.ac.uk.
Anthony JohnsonMedical Research Council Clinical Trials Unit, UCL Institute of Clinical Trials and Methodology, London, WC1V 6LJ, United Kingdom. Electronic address: tony.johnson11@ntlworld.com.
Josemir W SanderNIHR University College London Hospitals Biomedical Research Centre, London W1T 7DN, United Kingdom; UCL Queen Square Institute of Neurology, London WC1N 3BG, United Kingdom; Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0RJ, United Kingdom; Stichting Epilepsie Instelligen Nederland (SEIN), Heemstede 2103 SW, the Netherlands. Electronic address: l.sander@ucl.ac.uk.
Nicholas LawnWestern Australian Adult Epilepsy Service, Perth, Australia. Electronic address: Nicholas.Lawn@health.wa.gov.au.
Ettore BeghiDepartment of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy. Electronic address: ettore.beghi@marionegri.it.
Maurizio LeoneFondazione IRCCS Casa Sollievo della Sofferenza, Unit of Neurology, San Giovanni Rotondo (FG), Italy. Electronic address: m.leone@operapadrepio.it.
Anthony G MarsonDepartment of Pharmacology and Therapeutics, University of Liverpool, Liverpool, United Kingdom. Electronic address: A.G.Marson@liverpool.ac.uk.
University of Liverpool · GBCasa Sollievo della Sofferenza · ITMario Negri Institute for Pharmacological Research · ITMRC Clinical Trials Unit at UCL · GBMRC Epidemiology Unit · GBStichting Epilepsie Instellingen Nederland · NLWA Country Health Service · AU

Funding

British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946
6 · The paper itself

Abstract

purposeFollowing a single seizure, or recent epilepsy diagnosis, it is difficult to balance risk of medication side effects with the potential to prevent seizure recurrence. A prediction model was developed and validated enabling risk stratification which in turn informs treatment decisions and individualises counselling.

methodsData from a randomised controlled trial was used to develop a prediction model for risk of seizure recurrence following a first seizure or diagnosis of epilepsy. Time-to-event data was modelled via Cox's proportional hazards regression. Model validity was assessed via discrimination and calibration using the original dataset and also using three external datasets - National General Practice Survey of Epilepsy (NGPSE), Western Australian first seizure database (WA) and FIRST (Italian dataset of people with first tonic-clonic seizures).

resultsPeople with neurological deficit, focal seizures, abnormal EEG, not indicated for CT/MRI scan, or not immediately treated have a significantly higher risk of seizure recurrence. Discrimination was fair and consistent across the datasets (c-statistics: 0.555 (NGPSE); 0.558 (WA); 0.597 (FIRST)). Calibration plots showed good agreement between observed and predicted probabilities in NGPSE at one and three years. Plots for WA and FIRST showed poorer agreement with the model underpredicting risk in WA, and over-predicting in FIRST. This was resolved following model recalibration.

conclusionThe model performs well in independent data especially when recalibrated. It should now be used in clinical practice as it can improve the lives of people with single seizures and early epilepsy by enabling targeted treatment choices and more informed patient counselling.

Indexed as

AnticonvulsantsEpilepsyAustraliaHumansProbabilitySeizuresAnticonvulsantsIndependent dataNewly diagnosedPrognosisRisk assessment

Identifiers

PMID34852983
PMCPMC8776562
OpenAlexW3216776428

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.