Evidence map›Paper›PMID 24328871›Full record

ReviewEpilepsia2013

MRI in the diagnosis and management of epileptomas.

John S Duncan, Jane de Tisi

Open access · hybridAbstract readReview
In one paragraph

Review in Epilepsia, 2013. 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
1.3field-weighted citation impact, top 21% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. 3-T intraoperative MRI (iMRI) for pediatric epilepsy surgery.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2016
    Article
  4. Epilepsy associated tumors: Review article.World journal of clinical cases · 2014
    Review
  5. Review
  6. Highights in the history of epilepsy: the last 200 years.Epilepsy research and treatment · 2014
    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

2 authors at 1 institution in 1 country.

John S DuncanDepartment of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, United Kingdom.
Jane de Tisi
University College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-resolution magnetic resonance imaging (MRI) is invaluable for identifying cerebral tumors that cause epilepsy. Serial voxel-based automated quantitative analyses are more sensitive than visual reading for detecting change in a lesion. Eloquent cortex can be identified with functional MRI (fMRI), with cautions about the precise location and extent of critical cortex. Tractography is useful for delineating critical white matter tracks as are MR venography and computerized tomography (CT) angiography for displaying veins and arteries. These data may be combined into a three-dimensional (3D) multimodal MR data presentation and displayed interoperatively to increase the precision and minimize the risk of neurosurgical treatment, and for the illustrations.

Indexed as

Brain NeoplasmsEpilepsyMagnetic Resonance ImagingHumansNeuronavigationEpilepsy surgeryFunctional MRIGliomaMRITractography

Identifiers

PMID24328871
PMCPMC4429894
OpenAlexW1991429928

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.