Evidence map›Paper›PMID 36382118›Full record

ArticleNeurology. Clinical practice2022

Predictors of Disease Activity and Worsening in Relapsing-Remitting Multiple Sclerosis.

Yinan Zhang, Stacey Cofield, Gary Cutter, Stephen Krieger, Jerry S Wolinsky, Fred Lublin

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Neurology. Clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00211887 (A Multi-Center, Double-Blind, Randomized Study Comparing the Combined Use of Interferon Beta-1a and Glatiramer Acetate to Either Agent Alone in Patients With Relapsing-Remitting Multiple Sclerosis), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
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.

NCT00211887 phase3completednot on this map

A Multi-Center, Double-Blind, Randomized Study Comparing the Combined Use of Interferon Beta-1a and Glatiramer Acetate to Either Agent Alone in Patients With Relapsing-Remitting Multiple Sclerosis (CombiRx)

TypeinterventionalSponsorFred LublinRan2005 to 2013Enrolled1,008ConditionsRelapsing Remitting Multiple SclerosisArmsInterferon beta 1-a, glatiramer acetate, placebo
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Predictive factors for the progression of multiple sclerosis: a meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Pooled it
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

6 authors at 1 institution in 1 country.

Yinan ZhangDepartment of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).
Stacey CofieldDepartment of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).
Gary CutterDepartment of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).
Stephen KriegerDepartment of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).
Jerry S WolinskyDepartment of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).ORCID https://orcid.org/0000-0002-8197-2762
Fred LublinDepartment of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).
The Ohio State University Wexner Medical Center · US

Funding

Extension of Combination Therapy for Multiple Sclerosis (eCombiRx)U01NS045719 · NINDS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI LUBLIN, FRED D · 2003 to 2012
$44.7M
NINDS NIH HHS U01 NS045719
6 · The paper itself

Abstract

Background and Objectives: Disease activity in multiple sclerosis (MS) is highly variable, and there are limited prospective studies on predictors of disease outcomes. The goal of this study is to identify and assess patient characteristics in MS that predict disease activity and worsening. Methods: The study population consisted of a prospective cohort of 1,008 participants with relapsing-remitting onset MS enrolled in the CombiRx trial. Cox regression analysis was used to determine hazard ratio (HR) associations between baseline (BL) demographics, clinical history, MRI metrics, and treatment with outcomes of time to first new disease activity over up to 7 years of follow-up including relapse, MRI activity, and disease worsening. Results: One thousand eight participants were randomized, with 959 eligible for assessment of disease activity and worsening on follow-up. In multivariable models, the risk of relapse was higher in participants younger than 38 years at BL than in those older (HR range 1.36-1.43), with the presence of gadolinium (Gd)+ lesions at BL (HR 1.38, [95% confidence interval, CI 1.14, 1.67]) and with BL EDSS ≥3.5 vs <3.5 (HR range 1.63-1.67). The risk of new MRI activity was higher in younger participants (HR range 1.58-1.84), with higher preexisting lesion counts greater than the median lesion count with ≥71 T2 hyperintense lesions vs <71 (HR 1.50, [95% CI 1.27, 1.77]), with the presence of BL Gd+ lesions (HR 1.75, [95% CI 1.49, 2.06]), and higher BL T2 lesion volume (HR 1.02 for every unit increase in baseline volume, [95% CI 1.01, 1.03]). The risk of new MRI activity was lower in those receiving combination therapy compared with those that in those receiving either glatiramer acetate (HR range 0.67-0.68) or interferon beta-1a (HR range 0.68-0.70). The risk of disease worsening was higher for those with higher T2 volume (HR for 1 unit increase in volume 1.01, 95% CI 1.004, 1.03) and BL EDSS <2 (HR range 2.79-2.96). There were no associations between sex, race, and disease duration on relapse, MRI activity, or disease worsening in the multivariable analysis. Discussion: Prospective data from a large clinical trial cohort show that younger MS patients with high BL relapses and MRI lesion burden have the highest risk of subsequent disease activity. Trial Registration Information: Clinical trial registration number NCT00211887. CombiRx was registered at ClinicalTrials.gov (NCT00211887) on September 21, 2005. Study enrollment began in January 2005.

Identifiers

PMID36382118
PMCPMC9647819
OpenAlexW4281389829

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.