Evidence map›Paper›PMID 30195705›Full record

ArticlePM & R : the journal of injury, function, and rehabilitation2019

Frequency and Circumstances of Falls Reported by Ambulatory Unilateral Lower Limb Prosthesis Users: A Secondary Analysis.

Janis Kim, Matthew J Major, Brian Hafner, Andrew Sawers

Registry-linked trialAbstract read
In one paragraph

Article in PM & R : the journal of injury, function, and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06937242 (Fall-related Health Outcome in Lower Limb Prosthesis Users), which is not on this map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT06937242 narecruitingnot on this mapstarted 2025, after this paper: background citation

Fall-related Health Outcome in Lower Limb Prosthesis Users: A Pragmatic Clinical Trial to Assess Effectiveness of Microprocessor-controlled Prosthetic Knees

TypeinterventionalSponsorHanger Institute for Clinical Research and Education, LLCRan2025 to 2027Enrolled100ConditionsAmputation, Prosthesis User, Amputation, Traumatic, Leg: Thigh, Between Hip and KneeArmsOttobock C-Leg 4 Microprocessor Knee, Ottobock Kenevo
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Design and Validation of a Tripping-Eliciting Platform Based on Compliant Random Obstacles.IEEE open journal of engineering in medicine and biology · 2025
    Article
  13. Evaluating the partial contribution of the P3 event-related potential elicited by auditory oddball stimuli during the Stroop task.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2023
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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.

Janis KimDepartment of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL.
Matthew J MajorFeinberg School of Medicine, Northwestern University and Jesse Brown VA Medical Center, Chicago, IL.ORCID 0000-0002-2330-4619
Brian HafnerDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA.
Andrew SawersDepartment of Kinesiology and Nutrition, University of Illinois at Chicago, 1919 W Taylor Street, Chicago, IL, IL 60612.

Funding

Interdisciplinary Engineering Career Development Center in Movement and Rehabilitation SciencesK12HD073945 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DEWALD, JULIUS P, REINKENSMEYER, DAVID JAY · 2012 to 2021
$7.9M
Sensory-Motor Mechanisms Underlying Fall Risk in Transtibial AmputeesIK2RX001322 · VA · JESSE BROWN VA MEDICAL CENTER · PI MAJOR, MATTHEW J. · 2015 to 2020
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NICHD NIH HHS K12 HD073945RRD VA IK2 RX001322
6 · The paper itself

Abstract

backgroundMore than 50% of lower limb prosthesis (LLP) users report falling at least once a year, placing them at high risk for adverse health outcomes such as decreased mobility and diminished quality of life. Efforts to decrease falls in LLP users have traditionally focused on developing clinical tests to assess fall risk, designing prosthetic components to improve patient safety, and identifying risk factors to recognize potential fallers. Little attention has been directed toward recording, reporting, and characterizing the circumstances of falls in LLP users. Identifying the most common types of falls could help guide and prioritize clinical and research needs.

objectiveTo characterize the frequency and circumstances of falls reported by unilateral LLP users.

designSecondary analysis of data from 2 cross-sectional studies.

settingOutpatient clinic and research laboratory.

participantsAmbulatory unilateral transtibial and transfemoral LLP users (N = 66).

interventionNone. OUTCOME: A fall-type classification framework was developed based on biomechanical theory and published falls terminology. Self-reported falls and accompanying narrative descriptions of LLP users' falls in the previous 12 months were analyzed with the framework. Frequencies, estimated proportions, and estimated counts were compared across fall circumstances using 95% confidence intervals.

resultsThirty-eight participants (57.6%) reported 90 falls during the previous year. All reported falls were successfully categorized using the proposed framework. Most falls occurred from disruptions to the base of support, intrinsic destabilizing factors, and a diverse set of fall patterns. Walking on level terrain was the most common activity at the time of a fall.

conclusionThis secondary analysis showed that falls remain frequent in ambulatory LLP users and that clinicians and researchers might wish to prioritize falls owing to disruptions of the base of support that occur while walking. Additional research with a larger sample is required to confirm and expand these results. LEVEL OF EVIDENCE: III.

Indexed as

AmputeesArtificial LimbsAccidental FallsAdultAgedFemaleHumansLegMaleMiddle AgedWalkingYoung Adult

Identifiers

PMID30195705
PMCPMC6405319

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Registered trials

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.