Evidence map›Paper›PMID 36935866›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

Beyond step counts: Including wear time in prosthesis use assessment for lower-limb amputation.

Nicholas S DeGrasse, Joseph C Mertens, Jacob T Brzostowski, Katheryn J Allyn, Andrew C Vamos, Adam J Krout, Brian J Hafner, Joseph L Garbini, Joan E Sanders

Open access · diamondAbstract read
In one paragraph

Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 37% 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, 6 citations in OpenAlex.

  1. Article
  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

9 authors at 1 institution in 1 country.

Nicholas S DeGrasseDepartment of Bioengineering, University of Washington, Seattle, WA, USA.
Joseph C MertensDepartment of Bioengineering, University of Washington, Seattle, WA, USA.
Jacob T BrzostowskiDepartment of Bioengineering, University of Washington, Seattle, WA, USA.
Katheryn J AllynDepartment of Bioengineering, University of Washington, Seattle, WA, USA.
Andrew C VamosDepartment of Bioengineering, University of Washington, Seattle, WA, USA.
Adam J KroutDepartment of Bioengineering, University of Washington, Seattle, WA, USA.
Brian J HafnerDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA, USA.
Joseph L GarbiniDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.
Joan E SandersDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-8850-243X
University of Washington · US

Funding

Measuring In-Socket Residual Limb Volume FluctuationR01HD060585 · NICHD · UNIVERSITY OF WASHINGTON · PI SANDERS, JOAN E. · 2009 to 2024
$6.6M
An automatically-adjusting prosthetic socket for people with transtibial amputationR01HD103815 · NICHD · UNIVERSITY OF WASHINGTON · PI Joan E. Sanders · 2022 to 2026
$3.2M
NICHD NIH HHS R01 HD060585NICHD NIH HHS R01 HD103815
6 · The paper itself

Abstract

Introduction: The purpose of this study was to test a novel activity monitor that tracks the time a prosthesis is worn, and the nature of the ambulatory activity conducted with the prosthesis. These capabilities allow prosthesis users' wear and accommodation practices (e.g., temporary doffing) to be monitored, and the intensity of their activities to be assessed. Methods: A portable limb-socket motion sensing system was used to monitor doffs, walk bouts (≥5 steps), low locomotion (2-4 steps), stationary positions, and weight shifts in a group of transtibial prosthesis users. The relationship between doff time and active motion time was investigated, and durations of low and high intensity active motions were compared. Results: For the 14 participants tested, the median prosthesis day duration ranged from 12.8-18.8 h. Eleven participants typically doffed five or fewer times per day, and three participants typically doffed 10 or more times per day. Nine participants demonstrated a positive correlation between daily doff duration and active motion duration. Six participants spent more time in weight shifts than walk bouts, while eight participants spent more time in walk bouts than weight shifts. Conclusion: Capturing don time and temporary doffs and distinguishing weight shifts from walks may provide insight relevant to patient care. Longer-term monitoring studies should be conducted, and the clinical utility of the data evaluated.

Indexed as

Amputeesbiomechanical testinglimb prostheticsmotion/posture analysisrehabilitationsensors/sensor applications

Identifiers

PMID36935866
PMCPMC10021104
OpenAlexW4327521595

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.