Objective: A major barrier to reducing falls among users of lower limb prostheses (LLP) has been an absence of statistical indices required for clinicians to select and interpret scores from performance-based clinical tests. The study aimed to derive estimates of reliability, measurement error, and minimal detectable change values in performance-based clinical tests administered to unilateral LLP users.
Methods: A total of 60 unilateral LLP users were administered the Narrowing Beam Walking Test, Timed ``Up and Go'' (TUG), Four Square Step Test (FSST), and 10-Meter Walk Test on 2 occasions, 3 to 9 days apart. Intraclass correlation coefficients (ICCs) were calculated to assess interrater and test-retest reliability, while standard error of measurement (SEM) and minimal detectable change (MDC90) were derived to establish estimates of measurement error in individual scores or changes in score for each test.
Results: Interrater reliability ICCs (1,1) were high for all tests (ie, ≥0.98). Test-retest ICCs (2,1) varied by test, ranging from .88 for the TUG to .97 for the FSST. SEM and MDC90 varied between .39 and .96 and between .91 seconds and 2.2 seconds for the time-based tests (FSST, TUG, 10-Meter Walk Test). SEM and MDC90 for the Narrowing Beam Walking Test were .07 and .16, respectively.
Conclusion: With the exception of the TUG, studied tests had test-retest ICCs (2,1) that exceeded the minimum required threshold to be considered suitable for group- and individual-level applications (ie, ICC ≥ 0.70 and ≥ 0.90, respectively). Future research on individuals with dysvascular and transfemoral amputations or in specific age categories is required.
Impact: Along with published validity indices, these reliability, error, and change indices can help clinicians select balance tests suitable for LLP users. They can also help clinicians interpret test scores to make informed, evidence-based clinical decisions.
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http://dx.doi.org/10.1093/ptj/pzaa063 | DOI Listing |
J Eval Clin Pract
February 2025
School of Rehabilitaion Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, Canada.
Rational: One of the important considerations to select the appropriate outcome measures is determining if the tool is relevant to patients. Despite the availability of various performance-based tests to objectively assess function, it is unknown which performance-based tests best capture important aspects of function after hip or knee arthroplasty.
Aims And Objectives: Our systematic review aimed to identify the existing performance-based tests used in hip or knee arthroplasty and link the activity component of each test to the modified International Classification of Functioning, Disability and Health (ICF) core set for osteoarthritis (OA).
Clin Neuropsychiatry
December 2024
IRCCS Stella Maris Foundation, Pisa, Italy.
Objective: To describe the relationship between executive functions (EF) and symptom's severity, behavioral problems, and adaptive functioning in autistic preschoolers.
Method: Seventy-six autistic preschoolers (age-range: 37-72 months; SD: 8.67 months) without intellectual disability were assessed.
Discov Oncol
January 2025
School of Medicine, Southeast University, Nanjing, Jiangsu, China.
Background: Nucleolar protein 7 (NOL7), a specific protein found in the nucleolus, is crucial for maintaining cell division and proliferation. While the involvement of NOL7 in influencing the unfavorable prognosis of metastatic melanoma has been reported, its significance in predicting the prognosis of patients with Hepatocellular Carcinoma (HCC) remains unclear.
Methods: Aberrant expression of NOL7 in HCC and its prognostic value were evaluated using multiple databases, including TCGA, GTEx, Xiantao Academic, HCCDB, UALCAN, TISCH, and STRING.
Discov Oncol
January 2025
Department of Thyroid Breast Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Objective: Despite the identification of various prognostic factors for anaplastic thyroid carcinoma (ATC) patients over the years, a precise prognostic tool for these patients is still lacking. This study aimed to develop and validate a prognostic model for predicting survival outcomes for ATC patients using random survival forests (RSF), a machine learning algorithm.
Methods: A total of 1222 ATC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and randomly divided into a training set of 855 patients and a validation set of 367 patients.
J Clin Exp Neuropsychol
January 2025
Department of Psychiatry, University of Illinois Chicago, Chicago, IL, USA.
Introduction: This study cross-validates and expands upon previous research by examining the optimal number of PVT failures necessary to determine invalid performance when 10 PVTs are administered during a neuropsychological evaluation. Additionally, the study assessed the degree of skewness of individual PVTs and PVT intercorrelations for the overall sample and by validity group.
Method: Participants were 283 adult neuropsychology outpatients evaluated at an academic medical center.
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