Evidence map›Paper›PMID 36978691›Full record

ArticleBioengineering (Basel, Switzerland)2023

The Back Muscle Surface Electromyography-Based Fatigue Index: A Digital Biomarker of Human Neuromuscular Aging?

Gerold Ebenbichler, Richard Habenicht, Peter Blohm, Paolo Bonato, Josef Kollmitzer, Patrick Mair, Thomas Kienbacher

Open access · goldFull text read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

7 authors at 4 institutions in 2 countries.

Gerold EbenbichlerKarl-Landsteiner-Institute of Outpatient Rehabilitation Research, 1230 Vienna, Austria.
Richard HabenichtKarl-Landsteiner-Institute of Outpatient Rehabilitation Research, 1230 Vienna, Austria.ORCID 0000-0003-3763-7075
Peter BlohmKarl-Landsteiner-Institute of Outpatient Rehabilitation Research, 1230 Vienna, Austria.
Paolo BonatoDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA 02129, USA.
Josef KollmitzerDepartment of Biomedical Engineering, TGM College for Higher Vocational Education, 1200 Vienna, Austria.
Patrick MairDepartment of Psychology, Harvard University, Cambridge, MA 02138, USA.
Thomas KienbacherKarl-Landsteiner-Institute of Outpatient Rehabilitation Research, 1230 Vienna, Austria.
Karl Landsteiner Society · ATHarvard University · USTgm · ATVienna General Hospital · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As part of our quest for digital biomarkers of neuromuscular aging, and encouraged by recent findings in healthy volunteers, this study investigated if the instantaneous median frequency (IMDF) derived from back muscle surface electromyographic (SEMG) data monitored during cyclic back extensions could reliably differentiate between younger and older individuals with cLBP. A total of 243 persons with cLBP participated in three experimental sessions: at baseline, one to two days after the first session, and then again approximately six weeks later. During each session, the study participants performed a series of three isometric maximal voluntary contractions (MVC) of back extensors using a dynamometer. These were followed by an isometric back extension at 80% MVC, and-after a break-25 slow cyclic back extensions at 50% MVC. SEMG data were recorded bilaterally at L5 (multifidus), L2 (longissimus dorsi), and L1 (iliocostalis lumborum). Linear mixed-effects models found the IMDF-SEMG time-course changes more rapidly in younger than in older individuals, and more prominently in male participants. The absolute and relative reliabilities of the SEMG time-frequency representations were well compared between older and younger participants. The results indicated an overall good relative reliability, but variable absolute reliability levels. IMDF-SEMG estimates derived from cyclic back extensions proved to be successful in reliably detecting differences in back muscle function in younger vs. older persons with cLBP. These findings encourage further research, with a focus on assessing whether an IMDF-SEMG-based index could be utilized as a tool to achieve the preclinical detection of back muscle aging, and possibly predict the development of back muscle sarcopenia.

Indexed as

agingcyclic exerciselow back painmuscle fatiguesurface electromyography

Identifiers

PMID36978691
PMCPMC10045844
OpenAlexW4322629308

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read31
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.