Evidence map›Paper›PMID 32584159›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2021

Characterization of thalamic lesions and their correlates in multiple sclerosis by ultra-high-field MRI.

Ambica Mehndiratta, Constantina A Treaba, Valeria Barletta, Elena Herranz, Russell Ouellette, Jacob A Sloane, Eric C Klawiter, Revere P Kinkel, Caterina Mainero

Open access · greenAbstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Advanced MRI quantification of neuroinflammatory disorders.Journal of neuroscience research · 2022
    Article
  16. Review
  17. 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

9 authors at 4 institutions in 1 country.

Ambica MehndirattaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Constantina A TreabaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-8260-207X
Valeria BarlettaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Elena HerranzAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Russell OuelletteAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Jacob A SloaneDepartment of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Eric C KlawiterDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Revere P KinkelDepartment of Neurosciences, University of California San Diego, La Jolla, CA, USA.
Caterina MaineroAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Harvard University · USMassachusetts General Hospital · USBeth Israel Deaconess Medical Center · USUniversity of California San Diego · US

Funding

Cortical mechanisms of disease progression in early multiple sclerosisR01NS078322 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MAINERO, CATERINA · 2013 to 2017
$1.9M
NINDS NIH HHS R01 NS078322
6 · The paper itself

Abstract

backgroundThalamic pathology is a marker for neurodegeneration and multiple sclerosis (MS) disease progression.

objectiveTo characterize (1) the morphology of thalamic lesions, (2) their relation to cortical and white matter (WM) lesions, and (3) clinical measures, and to assess (4) the imaging correlates of thalamic atrophy.

methodsA total of 90 MS patients and 44 healthy controls underwent acquisition of 7 Tesla images for lesion segmentation and 3 Tesla scans for atrophy evaluation. Thalamic lesions were classified according to the shape and the presence of a central venule. Regression analysis identified the predictors of (1) thalamic atrophy, (2) neurological disability, and (3) information processing speed.

resultsThalamic lesions were mostly ovoid than periventricular, and for the great majority (78%) displayed a central venule. Lesion volume in the thalamus, cortex, and WM did not correlate with each other. Thalamic atrophy was only associated with WM lesion volume (

conclusionThalamic lesions are unrelated to those in the cortex and WM, suggesting that they may not share common pathogenic mechanisms and do not contribute to thalamic atrophy. Combined WM, subpial, and thalamic lesion volumes at 7 Tesla contribute to the disease severity.

Indexed as

Cognitive DysfunctionMultiple SclerosisAtrophyHumansMagnetic Resonance ImagingThalamusatrophycentral venuleMultiple sclerosisovoidperiventricularthalamus

Identifiers

PMID32584159
PMCPMC7759586
OpenAlexW3037105495

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.