Evidence map›Paper›PMID 31205492›Full record

ReviewTherapeutic advances in neurological disorders2019

Clinical trials in multiple sclerosis: potential future trial designs.

Navid Manouchehri, Yinan Zhang, Amber Salter, Rehana Z Hussain, Hans-Peter Hartung, Bernhard Hemmer, Ralf Linker, Benjamin M Segal, Gary Cutter, Olaf Stüve

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in neurological disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Ethyl Pyruvate-Derived Transdifferentiation of Astrocytes to Oligodendrogenesis in Cuprizone-Induced Demyelinating Model.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
    Article
  4. 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

10 authors at 7 institutions in 2 countries.

Navid ManouchehriDepartment of Neurology and Neurotherapeutics, The University of Texas Southwestern Medical Center, Dallas, TX.
Yinan ZhangDepartment of Neurology and Neurotherapeutics, The University of Texas Southwestern Medical Center, Dallas, TX.
Amber SalterDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO.
Rehana Z HussainDepartment of Neurology and Neurotherapeutics, The University of Texas Southwestern Medical Center, Dallas, TX.
Hans-Peter HartungDepartment of Neurology, UKD and Center for Neurology and Neuropsychiatry, LVR Klinikum, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Bernhard HemmerDepartment of Neurology, Klinikum rechts der Isar, Technische Universität München, Germany.
Ralf LinkerDepartment of Neurology, University of Regensburg, Germany.
Benjamin M SegalDepartment of Neurology, University of Michigan, Ann Arbor, MI.
Gary CutterDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL.
Olaf StüveNeurology Section, VA North Texas Health Care System, Medical Service, 500 South Lancaster Rd., Dallas, TX 75216, USA Department of Neurology and Neurotherapeutics, The University of Texas Southwestern Medical Center, Dallas, TX Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Germany.
The University of Texas Southwestern Medical Center · USHeinrich Heine University Düsseldorf · DEKlinikum rechts der Isar · DEUniversity of Alabama at Birmingham · USUniversity of Michigan–Ann Arbor · USUniversity of Regensburg · DEWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical trials of new treatments in multiple sclerosis (MS) currently require large sample sizes and long durations in order to yield reliable results. The differential responses of an already heterogeneous population of MS patients to individual disease-modifying therapies (DMTs) will further complicate future trials. MS trials with smaller samples and faster outcomes are conceivable through the substitution of current clinical and MRI outcomes with objectively measureable genomic and proteomic biomarkers. Currently, biomarkers that could be utilized for diagnosis and monitoring of MS disease activity are in the early validation phase. The power of single biomarkers or multiple correlated biomarkers to predict prognosis and response to treatment could initially be compared with currently accepted methods. These prospectively validated disease biomarkers could then be used to subcategorize the spectrum of MS patients into a finite number of endophenotypes with demonstrable different molecular pathogeneses and DMT response profiles. Newly developed DMT could potentially be assessed within specific endophenotypes and compared with pharmacogenomically relevant active comparator DMT. This approach may increase the efficiency of MS trials through homogenization of patient population and minimization of nonresponders in study groups, providing the potential for the development of targeted therapies.

Indexed as

Clinical trialDisease Modifying therapyEndophenotypesMultiple SclerosisPharmacologyTrial design

Identifiers

PMID31205492
PMCPMC6535717
OpenAlexW2946325327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.