Evidence map›Paper›PMID 25113273›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2015

High density EEG-what do we have to lose?

Catherine J Chu

Abstract readEditorialComment
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. [Construction and analysis of brain metabolic network in temporal lobe epilepsy patients based onSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  6. Article
  7. Article
  8. Virtual implantation using conventional scalp EEG delineates seizure onset and predicts surgical outcome in children with epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022
    Article
  9. Source imaging of seizure onset predicts surgical outcome in pediatric epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    Article
  10. Assessing the localization accuracy and clinical utility of electric and magnetic source imaging in children with epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019
    Article
  11. All-in-one interictal presurgical imaging in patients with epilepsy: single-session EEG/PET/(f)MRI.European journal of nuclear medicine and molecular imaging · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Catherine J ChuMassachusetts General Hospital/Harvard Medical School, 175 Cambridge Street, Suite 340, Boston, MA 02144, USA. Electronic address: cjchu@mgh.harvard.edu.

Funding

Pediatric Neurology Physician Scientist Program.K12NS066225 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI STALEY, KEVIN J. · 2011 to 2015
$1.6M
NINDS NIH HHS 5K12NS066225-02NINDS NIH HHS K12 NS066225
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

BrainBrain MappingElectroencephalographyEpilepsies, PartialFemaleHumansMale

Identifiers

PMID25113273
PMCPMC4289454

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.