Evidence map›Paper›PMID 24999365›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2014

A postmarket surveillance study on electro-neuro-adaptive-regulator therapy.

Rod P Bonello, Marc Cohen, John Reece, Arun Aggarwal, Curtis Rigney

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
22.8field-weighted citation impact, top 1% 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

1 citing paper in PubMed, 93 citations in OpenAlex.

  1. Effects of a Single Application of ScenarJournal of clinical medicine · 2021
    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

5 authors at 5 institutions in 2 countries.

Rod P BonelloSchool of Health Professions, Murdoch University, Perth 6150, Australia.
Marc CohenSchool of Health Sciences, RMIT University, Melbourne 3000, Australia.
John ReeceSchool of Health Sciences, RMIT University, Melbourne 3000, Australia ; School of Psychological Science, Australian College of Applied Psychology, Sydney 2000, Australia.
Arun AggarwalUniversity of Sydney, Sydney 2006, Australia.
Curtis RigneyMacquarie University, North Ryde 2109, Australia.
Australian College of Applied Psychology · AUMacquarie University · AUMurdoch University · AURMIT University · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Electro-Neuro-Adaptive-Regulator (ENAR) device is a hand-held electrotherapy which is applied using energetic medicine principles and aspects of acupuncture theory. The aim of this paper is to report the findings of a postmarket survey of persons who have used the ENAR device. The conditions for which the therapy was used and its perceived effectiveness are discussed. A web-based survey of Australian recipients of ENAR therapy was completed by 481 respondents. Most (76%) used ENAR exclusively for pain relief for musculoskeletal disorders, especially back, shoulder, and neck pain; 8% used ENAR exclusively for nonmusculoskeletal disorders; while 16% used ENAR for both. Respondents reported a mean reduction in pain of 70% (t(423) = 38.73, P < .001) and functional improvement of 62% (t(423) = 10.45, P < .001) using 11-point numerical rating scales. Following ENAR treatment, medication reduction was reported by 91% of respondents. Most respondents reported high satisfaction following ENAR therapy, with between 15 and 20% achieving complete pain relief. The self-delivery of ENAR may, in part, account for the high level of satisfaction.

Identifiers

PMID24999365
PMCPMC4068052
OpenAlexW2116963543

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.