Trial reportAnnals of biomedical engineering2013
Effects of hemodialysis therapy on sit-to-walk characteristics in end stage renal disease patients.
Trial report in Annals of biomedical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed, 35 citations in OpenAlex.
- Classifying lower extremity muscle fatigue during walking using machine learning and inertial sensors.Annals of biomedical engineering · 2014Trial
- Gait abnormalities and longitudinal fall risk in older patients with end-stage kidney disease and sarcopenia.BMC geriatrics · 2024Article
- Audiological and Vestibular Measurements in Chronic Renal Failure Patients Receiving Hemodialysis Treatment.The journal of international advanced otology · 2024Article
- Reliability and Validity of Inertial Sensor Assisted Reaction Time Measurement Tools among Healthy Young Adults.Sensors (Basel, Switzerland) · 2022Article
- Prediction of fall risk among community-dwelling older adults using a wearable system.Scientific reports · 2021Article
- Smartphone-Based Prediction Model for Postoperative Cardiac Surgery Outcomes Using Preoperative Gait and Posture Measures.Sensors (Basel, Switzerland) · 2021Article
- A Systematic Review of the Acute Effects of Hemodialysis on Skeletal Muscle Perfusion, Metabolism, and Function.Kidney international reports · 2020Article
- Hemodialysis Impact on Motor Function beyond Aging and Diabetes-Objectively Assessing Gait and Balance by Wearable Technology.Sensors (Basel, Switzerland) · 2018Article
- Inertial Sensor-Based Variables Are Indicators of Frailty and Adverse Post-Operative Outcomes in Cardiovascular Disease Patients.Sensors (Basel, Switzerland) · 2018Article
- Older Adults with Weaker Muscle Strength Stand up from a Sitting Position with More Dynamic Trunk Use.Sensors (Basel, Switzerland) · 2018Article
- OVERGROUND WALKING ALONG WITH COUNTING BACKWARDS INFLUENCES MOVEMENT VARIABILITY IN HEALTHY YOUNG AND OLDER ADULTS.Biomedical sciences instrumentation · 2017Article
- The effect of hemodialysis on balance measurements and risk of fall.International urology and nephrology · 2016Article
- Ageing Renal Patients: We Need More Collaboration between Geriatric Services and Nephrology Departments.Healthcare (Basel, Switzerland) · 2015Review
- Understanding the effects of pre-processing on extracted signal features from gait accelerometry signals.Computers in biology and medicine · 2015Article
- Classifying step and spin turns using wireless gyroscopes and implications for fall risk assessments.Sensors (Basel, Switzerland) · 2015Article
- Agreement in gait speed from smartphone and stopwatch for five meter walk in laboratory and clinical environments.Biomedical sciences instrumentation · 2014Article
- LOWER EXTREMITY MUSCLE FATIGUE INFLUENCES NONLINEAR VARIABILITY IN TRUNK ACCELERATIONS.Biomedical sciences instrumentationArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Patients with end stage renal diseases (ESRD) undergoing hemodialysis (HD) have high morbidity and mortality due to multiple causes; one of which is dramatically higher fall rates than the general population. In spite of the multiple efforts aiming to decrease the high mortality and improve quality of life in ESRD patients, limited success has been achieved. If adequate interventions for fall prevention are to be achieved, the functional and mobility mechanisms consistent with falls in this population must be understood. Human movements such as sit-to-walk (STW) tasks are clinically significant, and analysis of these movements provides a meaningful evaluation of postural and locomotor performance in elderly patients with functional limitations indicative of fall risks. In order to assess the effects of HD therapy on fall risks, 22 sessions of both pre- and post-HD measurements were obtained in six ESRD patients utilizing customized inertial measurement units (IMU). IMU signals were denoised using ensemble empirical mode decomposition and Savistky-Golay filtering methods to detect relevant events for identification of STW phases. The results indicated that patients were slower to get out of the chair (as measured by trunk flexion angular accelerations, time to peak trunk flexion, and overall STW completion time) following the dialysis therapy session. STW is a frequent movement in activities of daily living, and HD therapy may influence the postural and locomotor control of these movements. The analysis of STW movement may assist in not only assessing a patient's physical status, but in identifying HD-related fall risk as well. This preliminary study presents a non-invasive method of kinematic measurement for early detection of increased fall risk in ESRD patients using portable inertial sensors for out-patient monitoring. This can be helpful in understanding the pathogenesis better, and improve awareness in health care providers in targeting interventions to identify individuals at risk for fall.
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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.