Evidence map›Paper›PMID 39574995›Full record

ArticleCureus2024

The Potential Role of Matrix Rhythm Therapy in Managing Chronic Low Back Pain: A Scoping Review.

Sumbul Ansari, Kamini Sharma, Zahid Khan

Abstract readScoping Review
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Sumbul AnsariDepartment of Physiotherapy, School of Medical and Allied Health Sciences, Galgotias University, Greater Noida, IND.
Kamini SharmaDepartment of Physiotherapy, Teerthankar Mahaveer University, Bagadpur, IND.
Zahid KhanAcute Medicine, Mid and South Essex National Health Service Foundation Trust, Southend-on-Sea, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic low back pain (CLBP) is a widespread issue, and matrix rhythm therapy (MRT), a non-invasive therapy using low-frequency vibrations, is gaining interest for CLBP. However, evidence for its effectiveness and safety remains unclear. This scoping review aimed to systematically map and synthesise the existing literature on using MRT to manage CLBP. A comprehensive search of Medical Literature Analysis and Retrieval System Online (MEDLINE), PubMed, Web of Science, Directory of Open Access Journals (DOAJ), and Scopus was conducted for randomised controlled trials (RCTs) published through March 2024. The methodological quality was systematically evaluated using the Physiotherapy Evidence Database Scale (PEDro). The initial search yielded a total of 47 articles. After screening the abstracts and full articles, two studies were included, with a mean score of 5/10 on the PEDro scale. A qualitative review was performed of the two selected RCTs. Meta-analysis was not possible because of the small number of articles in the study. While preliminary findings from the two studies suggest that MRT may be superior to Pilates and combined physical therapy for pain and disability in CLBP, these results require cautious interpretation because of limited research. Further high-quality investigations, particularly well-designed RCTs, are warranted to definitively assess the effectiveness of MRT in managing the pain, function, and other aspects of CLBP.

Indexed as

disabilityfunctional impairmentmarhythematrix rhythm therapynon-pathological chronic low back painnon-specific chronic low back painphysical rehabilitationquality of lifethoracic spinal manipulationvibromassage

Identifiers

PMID39574995
PMCPMC11579626

What OpenQuestion holds

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Registered trials

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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.