Evidence map›Paper›PMID 39308135›Full record

Trial reportAnnals of clinical and translational neurology2024

Scrambler therapy for treatment of poststroke pain.

Robert Stowell-Campos, Erin Lawrence, Elisabeth Breese Marsh, Dawn Merbach

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Annals of clinical and translational neurology, 2024. 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

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

4 authors.

Robert Stowell-CamposDepartment of Neurology, The Johns Hopkins Hospital, Baltimore, Maryland, USA.
Erin LawrenceDepartment of Neurology, The Johns Hopkins Hospital, Baltimore, Maryland, USA.
Elisabeth Breese MarshDepartment of Neurology, The Johns Hopkins Hospital, Baltimore, Maryland, USA.ORCID 0000-0002-2385-5074
Dawn MerbachDepartment of Neurology, The Johns Hopkins Hospital, Baltimore, Maryland, USA.ORCID 0009-0002-4214-6182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveStrokes involving sensory pathways can result in contralesional pain syndromes often refractory to pharmacologic interventions. Scrambler therapy (ST) is a noninvasive electroanalgesia device used to treat pain caused by peripheral neuropathy; however, data are scarce regarding its use in conditions secondary to central nervous system pathology. We evaluate the efficacy of ST to treat poststroke pain.

methodsTwenty patients with a history of prior stroke resulting in contralesional pain were randomized to receive ST or Sham as an adjunct to their stable medication regimen. Participants underwent 5 consecutive daily 40-min sessions. The study was blinded to patient and assessor. Pain scores (0-10) were recorded at baseline, pre- and postsession, and 4 weeks after final treatment. Student's t-tests compared differences in the mean change in pain score between groups immediately post-treatment #5, and at 4-weeks. The chi-squared analysis compared the proportion of patients in each group with >50% pain reduction.

resultsParticipants randomized to ST had a mean change in pain score of -3.73 (SD 2.85) postintervention and -2.57 (SD 2.07) at 4 weeks, while the Sham group had a mean change in score of -0.94 (SD 1.36) and -0.25 (SD 0.84) (p between groups = 0.012, 0.004, respectively). Significantly more participants treated with ST reported a >50% reduction in pain immediately postintervention compared to Sham (70% vs. 10%, p = 0.006), but not at follow-up (30% vs. 10%, p = ns).

interpretationST may effectively decrease poststroke pain compared to Sham. Larger studies are needed to evaluate confounders such as stroke location, time from stroke, and concomitant treatment with medications.

Indexed as

StrokeAdultAgedElectric Stimulation TherapyFemaleHumansMaleMiddle AgedPain Management

Identifiers

PMID39308135
PMCPMC11572745

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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.