Evidence map›Paper›PMID 26808982›Full record

ArticlePloS one2016

Application of Diffusion Tensor Imaging Parameters to Detect Change in Longitudinal Studies in Cerebral Small Vessel Disease.

Eva Anna Zeestraten, Philip Benjamin, Christian Lambert, Andrew John Lawrence, Owen Alan Williams, Robin Guy Morris, Thomas Richard Barrick, Hugh Stephen Markus

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
6.3field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Empirical support for the vascular apathy hypothesis: A structured review.International journal of geriatric psychiatry · 2020
    Pooled it
  2. The effect of phosphodiesterase-5 inhibitors on cerebral blood flow in humans: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Cortical microstructural involvement in cerebral small vessel disease.Cerebral circulation - cognition and behavior · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  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

8 authors at 4 institutions in 1 country.

Eva Anna ZeestratenNeuroscience Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's, University of London, London, United Kingdom.
Philip BenjaminNeuroscience Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's, University of London, London, United Kingdom.
Christian LambertNeuroscience Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's, University of London, London, United Kingdom.
Andrew John LawrenceStroke Research Group, Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Owen Alan WilliamsNeuroscience Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's, University of London, London, United Kingdom.
Robin Guy MorrisDepartment of Psychology, King's College Institute of Psychiatry, Psychology, and Neuroscience, London, United Kingdom.
Thomas Richard BarrickNeuroscience Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's, University of London, London, United Kingdom.
Hugh Stephen MarkusStroke Research Group, Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
St George's, University of London · GBUniversity of Cambridge · GBCharing Cross Hospital · GBKing's College London · GB

Funding

Wellcome TrustWellcome Trust 081589
6 · The paper itself

Abstract

Cerebral small vessel disease (SVD) is the major cause of vascular cognitive impairment, resulting in significant disability and reduced quality of life. Cognitive tests have been shown to be insensitive to change in longitudinal studies and, therefore, sensitive surrogate markers are needed to monitor disease progression and assess treatment effects in clinical trials. Diffusion tensor imaging (DTI) is thought to offer great potential in this regard. Sensitivity of the various parameters that can be derived from DTI is however unknown. We aimed to evaluate the differential sensitivity of DTI markers to detect SVD progression, and to estimate sample sizes required to assess therapeutic interventions aimed at halting decline based on DTI data. We investigated 99 patients with symptomatic SVD, defined as clinical lacunar syndrome with MRI confirmation of a corresponding infarct as well as confluent white matter hyperintensities over a 3 year follow-up period. We evaluated change in DTI histogram parameters using linear mixed effect models and calculated sample size estimates. Over a three-year follow-up period we observed a decline in fractional anisotropy and increase in diffusivity in white matter tissue and most parameters changed significantly. Mean diffusivity peak height was the most sensitive marker for SVD progression as it had the smallest sample size estimate. This suggests disease progression can be monitored sensitively using DTI histogram analysis and confirms DTI's potential as surrogate marker for SVD.

Indexed as

Diffusion Tensor ImagingAgedCerebral Small Vessel DiseasesFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedQuality of Life

Identifiers

PMID26808982
PMCPMC4726604
OpenAlexW2261310043

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.