Evidence map›Paper›PMID 31619436›Full record

ArticleBMJ open2019

Investigating imaging network markers of cognitive dysfunction and pharmacoresistance in newly diagnosed epilepsy: a protocol for an observational cohort study in the UK.

Christophe de Bézenac, Marta Garcia-Finana, Gus Baker, Perry Moore, Nicola Leek, Rajiv Mohanraj, Leonardo Bonilha, Mark Richardson, Anthony Guy Marson, Simon Keller

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Christophe de BézenacDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK cedb@liverpool.ac.uk.
Marta Garcia-FinanaDepartment of Biostatistics, University of Liverpool, Liverpool, UK.
Gus BakerDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Perry MooreDepartment of Neurology, Salford Royal NHS Foundation Trust, Salford, UK.
Nicola LeekDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Rajiv MohanrajDepartment of Neurology, Salford Royal NHS Foundation Trust, Salford, UK.
Leonardo BonilhaDepartment of Neurology, Medical University of South Carolina, Charleston, South Carolina, USA.
Mark RichardsonInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Anthony Guy MarsonDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Simon KellerDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
University of Liverpool · GBSalford Royal NHS Foundation Trust · GBWalton Centre · GBKing's College London · GBMedical University of South Carolina · US

Funding

Medical Research Council MR/L010909/1Medical Research Council MR/S00355X/1
6 · The paper itself

Abstract

introductionEpilepsy is one of the most common serious brain disorders, characterised by seizures that severely affect a person's quality of life and, frequently, their cognitive and mental health. Although most existing work has examined chronic epilepsy, newly diagnosed patients present a unique opportunity to understand the underlying biology of epilepsy and predict effective treatment pathways. The objective of this prospective cohort study is to examine whether cognitive dysfunction is associated with measurable brain architectural and connectivity impairments at diagnosis and whether the outcome of antiepileptic drug treatment can be predicted using these measures. METHODS AND ANALYSIS: 107 patients with newly diagnosed focal epilepsy from two National Health Service Trusts and 48 healthy controls (aged 16-65 years) will be recruited over a period of 30 months. Baseline assessments will include neuropsychological evaluation, structural and functional Magnetic Resonance Imaging (MRI), Electroencephalography (EEG), and a blood and saliva sample. Patients will be followed up every 6 months for a 24-month period to assess treatment outcomes. Connectivity- and network-based analyses of EEG and MRI data will be carried out and examined in relation to neuropsychological evaluation and patient treatment outcomes. Patient outcomes will also be investigated with respect to analysis of molecular isoforms of high mobility group box-1 from blood and saliva samples. ETHICS AND DISSEMINATION: This study was approved by the North West, Liverpool East Research Ethics Committee (19/NW/0384) through the Integrated Research Application System (Project ID 260623). Health Research Authority (HRA) approval was provided on 22 August 2019. The project is sponsored by the UoL (UoL001449) and funded by a UK Medical Research Council (MRC) research grant (MR/S00355X/1). Findings will be presented at national and international meetings and conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: IRAS Project ID 260623.

Indexed as

AdolescentAdultAgedClinical ProtocolsCognitive DysfunctionCohort StudiesDrug ResistanceEpilepsyFemaleHumansMaleMiddle AgedObservational Studies as TopicUnited KingdomYoung Adultbrain connectivityepilepsyinflammationneuropsychologynewly diagnosed

Identifiers

PMID31619436
PMCPMC6797398
OpenAlexW2981168846

What OpenQuestion 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 OpenQuestion graph.