scholarly journals Instrumented Analysis of the Sit-to-Stand Movement for Geriatric Screening: A Systematic Review

2020 ◽  
Vol 7 (4) ◽  
pp. 139
Author(s):  
Brajesh Shukla ◽  
Jennifer Bassement ◽  
Vivek Vijay ◽  
Sandeep Yadav ◽  
David Hewson
Keyword(s):  
Systematic Review ◽  
At Risk ◽  
Older People ◽  
Search Strategy ◽  
Risk Of Falling ◽  
Sit To Stand ◽  
Risk Of Falls ◽  
Geriatric Screening ◽  
Meta Analyses ◽  
Future Work

The Sit-to-Stand (STS) is a widely used test of physical function to screen older people at risk of falls and frailty and is also one of the most important components of standard screening for sarcopenia. There have been many recent studies in which instrumented versions of the STS (iSTS) have been developed to provide additional parameters that could improve the accuracy of the STS test. This systematic review aimed to identify whether an iSTS is a viable alternative to a standard STS to identify older people at risk of falling, frailty, and sarcopenia. A total of 856 articles were found using the search strategy developed, with 12 articles retained in the review after screening based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Six studies evaluated the iSTS in fallers, five studies in frailty and only one study in both fallers and frailty. The results showed that power and velocity parameters extracted from an iSTS have the potential to improve the accuracy of screening when compared to a standard STS. Future work should focus on standardizing the segmentation of the STS into phases to enable comparison between studies and to develop devices integrated into the chair used for the test to improve usability.

Authors’ Reply to Kahlaee et al: “A Systematic Review and Meta-Analyses of the Association Between Anti-hypertensive Classes and the Risk of Falls Among Older Adults”

Drugs & Aging ◽  
2018 ◽  
Vol 36 (1) ◽  
pp. 95-101
Author(s):  
Ka Keat Lim ◽  
Hui Ting Ang ◽  
Yu Heng Kwan ◽  
Chuen Seng Tan ◽  
Truls Ostbye ◽  
...  
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Risk Of Falls ◽  
Meta Analyses

scholarly journals Machine Learning Algorithms in Cardiology Domain: A Systematic Review (Preprint)

2019 ◽  
Author(s):  
Georgy Kopanitsa ◽  
Aleksei Dudchenko ◽  
Matthias Ganzinger
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Search Strategy ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Learning System ◽  
Prisma Statement ◽  
Meta Analyses ◽  
Conference Papers ◽  
Huge Variety

BACKGROUND It has been shown in previous decades, that Machine Learning (ML) has a huge variety of possible implementations in medicine and can be very helpful. Neretheless, cardiovascular diseases causes about third of of all global death. Does ML work in cardiology domain and what is current progress in that regard? OBJECTIVE The review aims at (1) identifying studies where machine-learning algorithms were applied in the cardiology domain; (2) providing an overview based on identified literature of the state of the art of the ML algorithm applying in cardiology. METHODS For organizing this review, we have employed PRISMA statement. PRISMA is a set of items for reporting in systematic reviews and meta-analyses, focused on the reporting of reviews evaluating randomized trials, but can also be used as a basis for reporting systematic review. For the review, we have adopted PRISMA statement and have identified the following items: review questions, information sources, search strategy, selection criteria. RESULTS In total 27 scientific articles or conference papers written in English and reporting about implementation of an ML-method or algorithm in cardiology domain were included in this review. We have examined four aspects: aims of ML-systems, methods, datasets and evaluation metrics. CONCLUSIONS We suppose, this systematic review will be helpful for researchers developing machine-learning system for a medical domain and in particular for cardiology.

Effects of lifestyle interventions on weight and fat-free mass in older people with obesity – a systematic review with network-meta-analyses

2021 ◽  
Vol 46 ◽  
pp. S740
Author(s):  
G. Torbahn ◽  
D. Schoene ◽  
I. Galicia Ernst ◽  
L. Schwingshackl ◽  
G. Rücker ◽  
...  
Keyword(s):  
Systematic Review ◽  
Older People ◽  
Fat Free Mass ◽  
Lifestyle Interventions ◽  
Meta Analyses

A Systematic Review and Meta-Analyses of the Association Between Anti-Hypertensive Classes and the Risk of Falls Among Older Adults

Drugs & Aging ◽  
2018 ◽  
Vol 35 (7) ◽  
pp. 625-635 ◽  
Author(s):  
Hui Ting Ang ◽  
Ka Keat Lim ◽  
Yu Heng Kwan ◽  
Pui San Tan ◽  
Kai Zhen Yap ◽  
...  
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Risk Of Falls ◽  
Meta Analyses

Assessing gait parameters with accelerometer-based methods to identify older adults at risk of falls: a systematic review

2018 ◽  
Vol 9 (4) ◽  
pp. 435-448 ◽  
Author(s):  
S. Gillain ◽  
M. Boutaayamou ◽  
C. Beaudart ◽  
M. Demonceau ◽  
O. Bruyère ◽  
...  
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
At Risk ◽  
Gait Parameters ◽  
Risk Of Falls

scholarly journals Nutritional interventions for the management of frailty in older adults: systematic review and meta-analysis of randomized clinical trials

2020 ◽  
Author(s):  
Mariana B de Moraes ◽  
Christina Avgerinou ◽  
Fernanda B Fukushima ◽  
Edison I O Vidal
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Muscle Strength ◽  
Older People ◽  
Meta Analysis ◽  
Nutritional Supplements ◽  
Cochrane Central Register ◽  
Nutritional Education ◽  
Nutritional Interventions ◽  
Meta Analyses

Abstract Context Although nutrition is considered an important intervention for the management of frailty, the actual effectiveness of interventions addressing nutrition in frail older people remains unclear. Objective The aim for this systematic review was to appraise the evidence regarding the effectiveness of nutritional interventions for the management of frailty in older adults. Data Extraction We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The MEDLINE, Embase, Cumulative Index to Nursing and Allied Health Literature, Cochrane Central Register of Controlled Trials, Web of Science, and Latin American and Caribbean Health Sciences Literature databases were searched from January 2001 to November 2019. Two independent reviewers extracted relevant data. From 2370 initial records, 19 publications presenting data from 17 studies (1564 individuals; follow-up: 7–96 weeks) were included. Data Analysis None of the Bayesian random-effects meta-analyses comparing nutritional supplements with placebo regarding mortality, body mass index, weight, frailty status, muscle strength, gait speed, body composition, and cognitive function showed statistically significant differences. The same applies to a single meta-analysis comparing nutritional education with general health advice regarding muscle strength. Conclusion Our results suggest, mostly with low to very low degrees of certainty, that nutritional supplements or nutritional education delivered in isolation may not be effective for the management of frailty in older people. Review registration number CRD42018111510 (PROSPERO).

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