Evidence map›Paper›PMID 27417615›Full record

ReviewHealthcare (Basel, Switzerland)2016

Surface Electromyographic (SEMG) Biofeedback for Chronic Low Back Pain.

Randy Neblett

Open access · goldAbstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Ultrasound Imaging as a Visual Biofeedback Tool in Rehabilitation: An Updated Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  2. Trial
  3. Effects of Personal Low-Frequency Stimulation Device on Myalgia: A Randomized Controlled Trial.International journal of environmental research and public health · 2022
    Trial
  4. Trial
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  14. Review
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  16. Complementary therapies for patients with systemic sclerosis.Journal of scleroderma and related disorders · 2019
    Review
  17. Article
  18. [Application progress of surface electromyography and surface electromygraphic biofeedback in low back pain].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2017
    Review
  19. 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

1 author at 1 institution in 1 country.

Randy NeblettProductive Rehabilitation Institute of Dallas for Ergonomics (PRIDE) Research Foundation, 5701 Maple Ave. #100, Dallas, TX 75235, USA. randyneblett@pridedallas.com.
Productive Rehabilitation Institute of Dallas for Ergonomics · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofeedback is a process in which biological information is measured and fed back to a patient and clinician for the purpose of gaining increased awareness and control over physiological domains. Surface electromyography (SEMG), a measure of muscle activity, allows both a patient and clinician to have direct and immediate access to muscle functioning that is not possible with manual palpation or visual observation. SEMG biofeedback can be used to help "down-train" elevated muscle activity or to "up-train" weak, inhibited, or paretic muscles. This article presents a historical and clinical overview of SEMG and its use in chronic low back pain assessment and biofeedback training.

Indexed as

biofeedbackchronic low back pain (CLBP)flexion-relaxationsurface electromyography (SEMG)

Identifiers

PMID27417615
PMCPMC4934580
OpenAlexW2402267163

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.