Evidence map›Paper›PMID 21426327›Full record

ArticleEpilepsia2011

Common data elements in epilepsy research: development and implementation of the NINDS epilepsy CDE project.

David W Loring, Daniel H Lowenstein, Nicholas M Barbaro, Brandy E Fureman, Joanne Odenkirchen, Margaret P Jacobs, Joan K Austin, Dennis J Dlugos, Jacqueline A French, William Davis Gaillard and 6 more

Open access · greenAbstract read
In one paragraph

Article in Epilepsia, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 6 pooled it
5.5field-weighted citation impact, top 4% 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

76 citing papers in PubMed, 6 syntheses or guidelines pooled it, 149 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Guideline
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Seminars in epileptology: Presurgical epilepsy evaluation.Epileptic disorders : international epilepsy journal with videotape · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. A user's guide for the International Classification of Cognitive Disorders in Epilepsy.Epileptic disorders : international epilepsy journal with videotape · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Article

16 more citing papers are in PubMed but not listed here.

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

16 authors at 7 institutions in 1 country.

David W LoringDepartment of Neurology, Emory University, Atlanta, Georgia, USA. dloring@emory.edu
Daniel H Lowenstein
Nicholas M Barbaro
Brandy E Fureman
Joanne Odenkirchen
Margaret P Jacobs
Joan K Austin
Dennis J Dlugos
Jacqueline A French
William Davis Gaillard
Bruce P Hermann
Dale C Hesdorffer
Steven N Roper
Anne C Van Cott
Stacie Grinnon
Alexandra Stout
University of California, San Francisco · USChildren's Hospital of Philadelphia · USChildren's National · USEmory University · USUniversity of Florida · USUniversity of Pittsburgh · USUniversity of Wisconsin–Madison · US

Funding

LARGE SCALE AUTOMATED DNA SEQUENCING OF HUMAN GENESN01NS072372 · NINDS · SERACARE BIOSERVICES · PI JI, JIUPING J · 1997 to 2000
$0k
NIDA NIH HHS N01 NS072372
6 · The paper itself

Abstract

The Common Data Element (CDE) Project was initiated in 2006 by the National Institute of Neurological Disorders and Stroke (NINDS) to develop standards for performing funded neuroscience-related clinical research. CDEs are intended to standardize aspects of data collection; decrease study start-up time; and provide more complete, comprehensive, and equivalent data across studies within a particular disease area. Therefore, CDEs will simplify data sharing and data aggregation across NINDS-funded clinical research, and where appropriate, facilitate the development of evidenced-based guidelines and recommendations. Epilepsy-specific CDEs were established in nine content areas: (1) Antiepileptic Drugs (AEDs) and Other Antiepileptic Therapies (AETs), (2) Comorbidities, (3) Electrophysiology, (4) Imaging, (5) Neurological Exam, (6) Neuropsychology, (7) Quality of Life, (8) Seizures and Syndromes, and (9) Surgery and Pathology. CDEs were developed as a dynamic resource that will accommodate recommendations based on investigator use, new technologies, and research findings documenting emerging critical disease characteristics. The epilepsy-specific CDE initiative can be viewed as part of the larger international movement toward "harmonization" of clinical disease characterization and outcome assessment designed to promote communication and research efforts in epilepsy. It will also provide valuable guidance for CDE improvement during further development, refinement, and implementation. This article describes the NINDS CDE Initiative, the process used in developing Epilepsy CDEs, and the benefits of CDEs for the clinical investigator and NINDS.

Indexed as

AnticonvulsantsData CollectionEpilepsyHumansNational Institute of Neurological Disorders and Stroke (U.S.)Program DevelopmentResearch DesignUnited StatesAnticonvulsants

Identifiers

PMID21426327
PMCPMC3535455
OpenAlexW1564179825

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.