Evidence map›Paper›PMID 37526887›Full record

ReviewAging clinical and experimental research2023

Accelerometry applications and methods to assess standing balance in older adults and mobility-limited patient populations: a narrative review.

Kayla Bohlke, Mark S Redfern, Andrea L Rosso, Ervin Sejdic

Open access · greenAbstract readReview
In one paragraph

Review in Aging clinical and experimental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
8.0field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Article
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  6. Review
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 at 2 institutions in 2 countries.

Kayla BohlkeDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA.
Mark S RedfernDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA.
Andrea L RossoDepartment of Epidemiology, School of Public Health, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA.
Ervin SejdicThe Edward S. Rogers Department of Electrical and Computer Engineering, Faculty of Applied Science and Engineering, University of Toronto, 27 King's College Cir, Toronto, ON, M5S, Canada. esejdic@ieee.org.
University of Pittsburgh · USNorth York General Hospital · CA

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Restoring Central Motor Control to Improve Community Mobility of Older AdultsR01AG057671 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSSO, ANDREA L · 2018 to 2021
$2.5M
Environmental Challenges and the Aging Brain: Implications for Community MobilityK01AG053431 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSSO, ANDREA L · 2016 to 2020
$509k
NIA NIH HHS K01 AG053431NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG057671
6 · The paper itself

Abstract

Accelerometers provide an opportunity to expand standing balance assessments outside of the laboratory. The purpose of this narrative review is to show that accelerometers are accurate, objective, and accessible tools for balance assessment. Accelerometry has been validated against current gold standard technology, such as optical motion capture systems and force plates. Many studies have been conducted to show how accelerometers can be useful for clinical examinations. Recent studies have begun to apply classification algorithms to accelerometry balance measures to discriminate populations at risk for falls. In addition to healthy older adults, accelerometry can monitor balance in patient populations such as Parkinson's disease, multiple sclerosis, and traumatic brain injury. The lack of software packages or easy-to-use applications have hindered the shift into the clinical space. Lack of consensus on outcome metrics has also slowed the clinical adoption of accelerometer-based balance assessments. Future studies should focus on metrics that are most helpful to evaluate balance in specific populations and protocols that are clinically efficacious.

Indexed as

AlgorithmsPostural BalanceAccelerometryAgedHealth StatusHumansPhysical ExaminationAccelerometryAccessibilityBalanceFall risk

Identifiers

PMID37526887
PMCPMC10881067
OpenAlexW4385442831

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.