Evidence map›Paper›PMID 25164586›Full record

ReviewMovement disorders : official journal of the Movement Disorder Society2014

Magnetic resonance imaging striatal volumes: a biomarker for clinical trials in Huntington's disease.

Elizabeth H Aylward

Open access · greenAbstract readReview
In one paragraph

Review in Movement disorders : official journal of the Movement Disorder Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. [EJNMMI research · 2018
    Article
  11. Statistical modeling of Huntington disease onset.Handbook of clinical neurology · 2017
    Review
  12. 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

1 author.

Elizabeth H AylwardSeattle Children's Research Institute, Seattle, Washington, USA.

Funding

Genetic modifiers of Predict-HD phenotypesU01NS082079 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GUSELLA, JAMES F · 2013 to 2015
$2.6M
NINDS NIH HHS U01 NS082079NINDS NIH HHS U01NS082079
6 · The paper itself

Abstract

An abundance of research shows that magnetic resonance imaging (MRI) striatal volumes decrease long before diagnosis of Huntington's disease (HD) and closely track disease progression. Additional research indicates that these volumetric measures meet important criteria for a biomarker that can be used in clinical trials: They are 1) objectively measureable; 2) able to predict known endpoints; and 3) associated with known mechanisms of pathology of the disease. Researchers should consider formal application to regulatory agencies for biomarker status of volumetric MRI striatal measures, because these measures are anticipated to contribute significantly in the assessment of treatment effectiveness in HD.

Indexed as

Huntington DiseaseMagnetic Resonance ImagingBiomarkersClinical Trials as TopicCorpus StriatumHumansBiomarkersbiomarkerHuntington's diseaseMRIstriatal volume

Identifiers

PMID25164586
PMCPMC4479278
OpenAlexW2117471869

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.