Evidence map›Paper›PMID 25662351›Full record

Trial reportMultiple sclerosis (Houndmills, Basingstoke, England)2015

Sample-size calculations for short-term proof-of-concept studies of tissue protection and repair in multiple sclerosis lesions via conventional clinical imaging.

Daniel S Reich, Richard White, Irene Cm Cortese, Luisa Vuolo, Colin D Shea, Tassie L Collins, John Petkau

Abstract readClinical Trial
In one paragraph

Trial report in Multiple sclerosis (Houndmills, Basingstoke, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Multiple Sclerosis.The New England journal of medicine · 2018
    Review
  9. Article
  10. Observational
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

7 authors at 3 institutions in 2 countries.

Daniel S ReichDivision of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA reichds@ninds.nih.gov.
Richard WhiteDepartment of Statistics, University of British Columbia, Canada.
Irene Cm CorteseDivision of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA.
Luisa VuoloDivision of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA.
Colin D SheaDivision of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA.
Tassie L CollinsMyelin Repair Foundation, USA.
John PetkauDepartment of Statistics, University of British Columbia, Canada.
National Institute of Neurological Disorders and Stroke · USNational Institutes of Health · USUniversity of British Columbia · CA

Funding

Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
Intramural NIH HHS Z99 NS999999Intramural NIH HHS ZIA NS003119
6 · The paper itself

Abstract

backgroundNew multiple sclerosis (MS) lesion activity on magnetic resonance imaging (MRI) can test immunomodulatory therapies in proof-of-concept trials. Comparably powerful endpoints to assess tissue protection or repair are lacking.

objectiveThe objective of this paper is to report sample-size calculations for assessment of new lesion recovery.

methodsIn two sets of six active MS cases, new lesions were observed by monthly MRI for approximately 12 months. Averages and quartiles of normalized (proton density/T1/T2 weighted) and quantitative (T1/T2 and mean diffusivity maps for dataset 1, T2 and magnetization transfer ratio maps for dataset 2) measures were used to compare the lesion area before lesion appearance to afterward. A linear mixed-effects model incorporating lesion- and participant-specific random effects estimated average levels and variance components for sample-size calculations.

resultsIn both datasets, greatest statistical sensitivity was observed for the 25th percentile of normalized proton density-weighted signal. At 3T, using new lesions ⩾15 mm(3), as few as nine participants/arm may be required for a six-month placebo-controlled add-on trial postulating a therapeutic effect size of 20% and statistical power of 90%.

conclusionLesion recovery is a powerful outcome measure for proof-of-concept clinical trials of tissue protection and repair in MS. The trial design requires active cases and is therefore best implemented near disease onset.

Indexed as

Magnetic Resonance ImagingAdolescentAdultFemaleHumansImmunomodulationMaleMultiple SclerosisSample SizeTreatment OutcomeWhite Matterclinical trial designMRIrepairT2 lesions

Identifiers

PMID25662351
PMCPMC4527958
OpenAlexW2086900658

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.