Evidence map›Paper›PMID 25925798›Full record

ReviewDrugs2015

Disease modification in epilepsy: from animal models to clinical applications.

Melissa L Barker-Haliski, Dan Friedman, Jacqueline A French, H Steve White

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Benchmarking the proteomic profile of animal models of mesial temporal epilepsy.Annals of clinical and translational neurology · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
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

4 authors.

Melissa L Barker-HaliskiAnticonvulsant Drug Development Program, Department of Pharmacology and Toxicology, University of Utah, 417 Wakara Way, Suite 3211, Salt Lake City, UT, 84108, USA, melissa.barker@utah.edu.
Dan Friedman
Jacqueline A French
H Steve White

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several relevant animal models of epileptogenesis and biomarkers have emerged for evaluating the antiepileptogenic potential of an investigational drug. Although several promising candidate compounds and approaches have been identified in these preclinical models, no treatment has yet successfully navigated the path from preclinical efficacy to clinical validation. Until such an agent can move from preclinical proof of concept to clinical success, the need remains to continually develop and optimize preclinical models and clinical trial design in an effort to guide potential clinical investigations. This review describes several available models of disease modification and/or epileptogenesis, preclinical studies in these models and potential biomarkers useful for evaluating the efficacy of a potential therapeutic agent in the preclinical setting. The results that emerge from such efforts may then guide the clinical evaluation of a candidate compound. This review discusses some of the known limitations and hurdles to moving compounds found effective in these models to clinical practice, in the hope that knowledge of this information will facilitate the design and conduct of clinical studies and effectively facilitate the identification of a first-in-class disease-modifying or antiepileptogenic agent.

Indexed as

AnimalsAnticonvulsantsBiomarkersDisease Models, AnimalDrug DiscoveryDrug Evaluation, PreclinicalDrugs, InvestigationalEpilepsyHumansAnticonvulsantsBiomarkersDrugs, Investigational

Identifiers

What OpenQuestion holds

Textmetadata
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.