Evidence map›Paper›PMID 40574803›Full record

ArticleBrain network and modulation

Efficacy of scrambler therapy in chronic neuropathic pain: pairwise and dose-response meta-analysis.

Mohamed S I Mohamed, Lama Alkahlout, Salma Elgamal, Amna Mohiuddin, Talal Al-Sayed, Hamad Al-Marri, Fatima Zahid, Daniela Martínez-Magallanes, Felipe Fregni, Suhail A R Doi and 4 more

Abstract read
In one paragraph

Article in Brain network and modulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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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

14 authors.

Mohamed S I MohamedDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Lama AlkahloutDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Salma ElgamalDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Amna MohiuddinDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Talal Al-SayedDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Hamad Al-MarriDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Fatima ZahidDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Daniela Martínez-MagallanesNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Felipe FregniNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Suhail A R DoiDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Abdallah M AbdallahDepartment of Basic Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Omran A H MusaDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Muhammad Naseem KhanDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Giridhara R BabuDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0003-4370-8933

Funding

Pragmatic Trial of Remote tDCS and Somatosensory Training for Phantom Limb Pain with Machine Learning to Predict Treatment ResponseR01HD082302 · NICHD · SPAULDING REHABILITATION HOSPITAL · PI Felipe Fregni · 2015 to 2026
$4.7M
NICHD NIH HHS R01 HD082302
6 · The paper itself

Abstract

Chronic neuropathic pain (CNP) affects 7% of the world's population and is challenging to control since existing medications are inadequate and have negative effects. Electro-cutaneous devices, such as Scrambler Therapy (ST), have emerged as a possible option and have shown promising results in multiple randomized controlled trials (RCTs). However, the long-term efficacy of ST remains unknown. We aimed to evaluate the efficacy of ST in CNP reduction over time. We used the data sources including PubMed, Embase, Scopus, and Cochrane Central Register of Controlled Trials from inception to September 2023. Five placebo and three routine-care controlled RCTs were selected among the screened abstracts. Two authors independently extracted the data. Data was pooled using a model under the common parameters assumption. The studies were evaluated for methodological quality using the MethodologicAl STandard for Epidemiological Research (MASTER) scale. The primary outcome measure was pain reduction; pain was converted to a common 0 to 10 scale, and a weighted mean difference of more than 2 points on a 10-point pain scale was considered clinically important. Eight RCTs that evaluated the effect of ST on CNP were included, with a total sample size of 350 participants. None of the participants withdrew in all these trials owing to adverse events or lack of efficacy. There was high-quality evidence that ST reduced pain in the short term, with a mean difference of -3 points. The dose-response meta-analysis demonstrated a significant reduction in pain scores post-treatment, with a peak reduction at day 40. The effect of ST remained below the baseline values for 90 days, although with limited certainty. This study is the first dose-response meta-analysis to assess the duration of efficacy of ST in the treatment of CNP. The results demonstrated a clinically significant and more sustained reduction in pain created by ST compared to conventional treatments. Our findings indicate that ST could be used as a safe and effective alternative for managing CNP.

Indexed as

chronic paindose-responsemeta-analysisneuropathic painscrambler therapy

Identifiers

PMID40574803
PMCPMC12201973

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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.