Evidence map›Paper›PMID 41813749›Full record

SynthesisScientific reports2026

The efficacy of disease-modifying therapies in patients with clinically isolated syndrome: a systematic review and network meta-analysis.

Yanisa Chumpangern, Yanika Seawsirikul, Panisara Keatbundit, Leeyaporn Thongtem, Ekdanai Uawithya, Roongnapa Khampang, Tatchaporn Ongphichetmetha, Sasitorn Siritho, Naraporn Prayoonwiwat, Jiraporn Jitprapaikulsan

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yanisa ChumpangernFaculty of Medicine, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Yanika SeawsirikulFaculty of Medicine, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Panisara KeatbunditFaculty of Medicine, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Leeyaporn ThongtemFaculty of Medicine, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Ekdanai UawithyaSiriraj Neuroimmunology Center, Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Roongnapa KhampangSiriraj Health Policy Unit (SiHP), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Tatchaporn OngphichetmethaSiriraj Neuroimmunology Center, Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Sasitorn SirithoSiriraj Neuroimmunology Center, Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Naraporn PrayoonwiwatSiriraj Neuroimmunology Center, Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Jiraporn JitprapaikulsanSiriraj Neuroimmunology Center, Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. jiraporn.jit@mahidol.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinically isolated syndrome (CIS) is the initial clinical presentation that may indicate the development of multiple sclerosis (MS). While significant advancements have been made in the treatment of MS, there remains no definitive consensus on the effective treatment of CIS. Our study aims to evaluate the outcomes of disease-modifying therapies (DMTs) in the progression of CIS to clinically definite multiple sclerosis (CDMS) and to assess their efficacy in the treatment of CIS. A literature search was conducted through March 2024, focusing on immunotherapies that can treat CIS. The control group consisted of patients who received a placebo. The primary outcomes were the number of patients who converted to CDMS over the course of the study and the progression of the severity of disability in patients with MS using the Expanded Disability Status Scale (EDSS). The secondary outcomes included improvement in CIS symptoms based on MRI lesions, including gadolinium-enhancing (GDE) and T2-weighted (T2W) lesions. A total of 9 studies (8 randomized controlled trials and 1 post hoc analysis) included 3,339 patients diagnosed with CIS who received immunotherapy. The patients had a mean age of 31.4 ± 7.8 years and were followed for a mean duration of 35.7 months. Cladribine showed the strongest evidence in lowering CDMS conversion (HR 0.37; 95% CrI 0.23-0.59; SUCRA 85.40 followed by GA (HR 0.50; 95% CrI 0.34-0.73; SUCRA 62.10), IFN beta-1b (HR 0.51; 95% CrI 0.35-0.74; SUCRA 60.60), teriflunomide (HR 0.59; 95% CrI 0.37-0.92; SUCRA 59.20), and IFN beta-1a (HR 0.62; 95% CrI 0.50-0.77; SUCRA 39.50), respectively. DMTs, including cladribine, teriflunomide, IFN beta-1a, IFN beta-1b, and GA, showed evidence of reducing conversion to CDMS compared with placebo. Cladribine and GA showed the strongest evidence for a high probability of reducing CDMS conversion.

Indexed as

Demyelinating DiseasesMultiple SclerosisAdultCladribineCrotonatesDisease ProgressionHumansHydroxybutyratesImmunotherapyMagnetic Resonance ImagingNitrilesToluidinesTreatment OutcomeCladribineCrotonatesHydroxybutyratesNitrilesteriflunomideToluidinesCladribineClinically isolated syndromeDisease-modifying therapiesGlatiramer acetateInterferon beta-1aInterferon beta-1bMultiple sclerosisTeriflunomide

Identifiers

PMID41813749
PMCPMC13100317

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.