Evidence map›Paper›PMID 33588903›Full record

SynthesisOrphanet journal of rare diseases2021

Dalfampridine in the treatment of multiple sclerosis: a meta-analysis of randomised controlled trials.

Enyao Zhang, Xin Tian, Ruoming Li, Chaoyang Chen, Min Li, Lingyun Ma, Ran Wei, Ying Zhou, Yimin Cui

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Orphanet journal of rare diseases, 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
3.5field-weighted citation impact, top 7% 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, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
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  6. Article
  7. Article
  8. Review
  9. Long-term trajectories of ambulatory impairment in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023
    Article
  10. Review
  11. Review
  12. Article
  13. Article
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  15. Article
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  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 1 institution in 1 country.

Enyao ZhangDepartment of Pharmacy, Peking University First Hospital, 6 Dahongluochang Street, Xicheng District, Beijing, 100034, China.
Xin TianDepartment of Pharmacy, Peking University First Hospital, 6 Dahongluochang Street, Xicheng District, Beijing, 100034, China.
Ruoming LiDepartment of Pharmacy, Peking University First Hospital, 6 Dahongluochang Street, Xicheng District, Beijing, 100034, China.
Chaoyang ChenDepartment of Pharmacy, Peking University First Hospital, 6 Dahongluochang Street, Xicheng District, Beijing, 100034, China.
Min LiDepartment of Pharmacy, Peking University First Hospital, 6 Dahongluochang Street, Xicheng District, Beijing, 100034, China.
Lingyun MaDepartment of Pharmacy, Peking University First Hospital, 6 Dahongluochang Street, Xicheng District, Beijing, 100034, China.
Ran WeiDepartment of Pharmacy, Peking University First Hospital, 6 Dahongluochang Street, Xicheng District, Beijing, 100034, China.
Ying ZhouDepartment of Pharmacy, Peking University First Hospital, 6 Dahongluochang Street, Xicheng District, Beijing, 100034, China. zhouying0321@126.com.
Yimin CuiDepartment of Pharmacy, Peking University First Hospital, 6 Dahongluochang Street, Xicheng District, Beijing, 100034, China. bdyyyljd@126.com.ORCID 0000-0002-4186-1005
Peking University · CN

Funding

National Science and Technology Major Project for Significant New Drugs Development, Platform for Postmarketing Evaluation of New Drugs for Rare Diseases 2017ZX09304029-006-001National Science and Technology Major Project for Significant New Drugs Development, Platform for Research and Development and Industrialization of Pediatric Urgent Drugs in Short Supply 2017ZX09721003-008National Science and Technology Major Project for Significant New Drugs Development, Technology Platform and System Construction of Clinical Evaluation Studies on New Drugs of Pediatric Rare Diseases 2017ZX09304029-006
6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) is a chronic illness involving the central nervous system (CNS) that is characterised by inflammation, demyelination, and degenerative changes. Dalfampridine is one of the available treatments for MS symptoms and comorbidities. This meta-analysis aimed to assess the safety and benefits of dalfampridine versus placebo in MS by summarising data deriving from previously published clinical randomised controlled studies (RCTs).

resultsA total of 9 RCTs were included in this meta-analysis, involving 1691 participants. There were significant differences between dalfampridine and placebo in terms of decreased 12-item Multiple Sclerosis Walking Scale score (weighted mean difference [WMD] =  - 3.68, 95% confidence interval [CI] [- 5.55, - 1.80], p = 0.0001), improved response to the timed 25-foot walk test (relative risk [RR] = 2.57, 95% CI [1.04, 6.33], p = 0.04), increased 6-min walk test (WMD = 18.40, 95% CI [1.30, 35.51], p = 0.03), increased 9-Hole Peg Test score (WMD = 1.33, 95% CI [0.60, 2.05], p = 0.0004), and increased Symbol Digit Modalities Test score (WMD = 4.47, 95% CI [3.91, 5.02], p < 0.00001). Significant differences in the incidence of side effects were also observed (RR = 1.12, 95% CI [1.04, 1.21], p = 0.002).

conclusionDalfampridine exerts positive effects on walking ability, finger dexterity, and cognitive function. Treatment should be administered under the guidance of a physician or pharmacist given the higher incidence of adverse events.

Indexed as

4-AminopyridineMultiple SclerosisHumans4-AminopyridineDalfampridineMeta-analysisMultiple sclerosis

Identifiers

PMID33588903
PMCPMC7885571
OpenAlexW3129960831

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.