Evidence map›Paper›PMID 42106670›Full record

Observational studyBMC musculoskeletal disorders2026

Assessing lower-limb prosthetic users with the amputee mobility predictor with prosthesis and timed up and go tests.

Huthaifa Atallah, Amneh Alshawabka, Mahmoud Alfatafta, Tariq Alkhatib, Marwan Taher, Hadeel R Bakhsh, Saleh Alqahtani, Titeana Qufabz, Anthony McGarry, Bálint Molics

Abstract readObservational Study
In one paragraph

Observational study in BMC musculoskeletal disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Huthaifa AtallahDepartment of Prosthetics and Orthotics, School of Rehabilitation Sciences, The University of Jordan, Amman, 11942, Jordan. h.atallah@ju.edu.jo.
Amneh AlshawabkaDepartment of Prosthetics and Orthotics, School of Rehabilitation Sciences, The University of Jordan, Amman, 11942, Jordan.
Mahmoud AlfataftaDepartment of Prosthetics and Orthotics, School of Rehabilitation Sciences, The University of Jordan, Amman, 11942, Jordan.
Tariq AlkhatibDepartment of Physical Medicine & Rehabilitation, Al Basheer Hospitals Complex, Amman, Jordan.
Marwan TaherDepartment of Physical Medicine & Rehabilitation, Al Basheer Hospitals Complex, Amman, Jordan.
Hadeel R BakhshDepartment of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Saleh AlqahtaniDepartment of prosthetics and Orthotics, School of Rehabilitation Sciences, Taibah University, Medina, Saudi Arabia.
Titeana QufabzDepartment of Biomedical Engineering, Faculty of Engineering and Information Technology, University of Pècs, Pècs, Hungary.
Anthony McGarryBiomedical Engineering Department, University of Strathclyde, Glasgow, UK.
Bálint MolicsDepartment of Sport Physiotherapy, Faculty of Health Sciences, University of Pécs, Pécs, Hungary. molics.balint@etk.pte.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower-limb amputation (LLA) significantly impacts mobility, independence, and quality of life. Reliable assessment tools are essential for evaluating functional capacity, guiding prosthetic prescription, and identifying individuals at risk of falls. The Amputee Mobility Predictor with prosthesis (AMPPro) and Timed Up and Go (TUG) test are commonly used performance-based measures, yet their complementary utility in clinical practice among LLA populations in Jordan remains underexplored.

objectiveTo evaluate functional mobility among lower-limb prosthetic users using AMPPro and TUG, examine associations with demographic and clinical factors, and assess the predictive value of AMPPro for fall risk. STUDY

designCross-sectional observational study.

methodSixty-three adults with unilateral lower-limb amputation were assessed using AMPPro and TUG. Demographic and clinical data, including age, gender, amputation etiology, level, time since amputation, and time since first prosthetic fitting, were collected. Statistical analyses included Spearman correlations, non-parametric tests, and multivariable regression to examine associations and predictors of functional outcomes and fall risk.

resultsParticipants were predominantly male (71.4%) with a mean age of 43.7 ± 14.5 years. Median AMPPro score was 43/47, and median TUG time was 14 s, with 54% at risk of falls. AMPPro and TUG were strongly inversely correlated (ρ = - 0.603, p < 0.001). Age and amputation cause significantly influenced functional outcomes, while time since amputation, time since first fitting, and amputation level did not. Each one-point increase in AMPPro reduced fall risk by 17% (OR = 0.83, p = 0.004).

conclusionAMPPro and TUG provide complementary assessments of mobility in lower-limb prosthetic users. AMPPro effectively distinguishes functional levels and predicts fall risk, supporting its use alongside demographic and clinical data for individualized rehabilitation and fall-prevention strategies.

Indexed as

Amputation, SurgicalAmputeesArtificial LimbsLower ExtremityMobility LimitationAccidental FallsAdultAgedCross-Sectional StudiesFemaleHumansJordanMaleMiddle AgedPredictive Value of TestsAccidental FallsAmputee Mobility PredictorLower-limb amputationMobility LimitationProsthesis FittingRehabilitationTimed Up and Go

Identifiers

PMID42106670
PMCPMC13335210

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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.