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      Sarcopenia is associated with a greater risk of polypharmacy and number of medications: a systematic review and meta‐analysis

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          Abstract

          Polypharmacy in older adults is associated with multiple negative consequences that may affect muscular function, independently from the presence of medical conditions. The aim of this systematic review and meta‐analysis was to investigate the association of sarcopenia with polypharmacy and higher number of medications. A systematic literature search of observational studies using PubMed, Web of Science, Scopus and Cochrane Library databases was conducted from inception until June 2022. To determine if sarcopenia is associated with a higher risk of polypharmacy and increased number of medications, a meta‐analysis using a random‐effects model was used to calculate the pooled effects (CRD42022337539). Twenty‐nine studies were included in the systematic review and meta‐analysis. Sarcopenia was associated with a higher prevalence of polypharmacy (odds ratio [OR]: 1.65, 95% confidence interval [CI] [1.23, 2.20], I 2 = 84%, P < 0.01) and higher number of medications (mean difference: 1.39, 95% CI [0.59, 2.19], I 2 = 95%, P < 0.01) compared with individuals without sarcopenia. Using meta‐regression, a high variance was observed due to different populations (i.e., community‐dwelling, nursing home residents, inpatients, outpatients) for both outcomes of polypharmacy ( r = −0.338, SE = 0.1669, 95% CI [−0.67, −0.01], z = −2.03, P = 0.04) and number of medications ( r = 0.589, SE = 0.2615, 95% CI [0.08, 1.10], z = 2.25, P = 0.02). This systematic review and meta‐analysis reported a significantly increased risk of polypharmacy and higher number of medications in people with sarcopenia compared with individuals without this condition. Future research should clarify whether the specificity and number of medications is a direct contributor in accelerating the progression of muscle wasting and dysfunction contributing to sarcopenia in older adults.

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          Measuring inconsistency in meta-analyses.

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            Sarcopenia: revised European consensus on definition and diagnosis

            Abstract Background in 2010, the European Working Group on Sarcopenia in Older People (EWGSOP) published a sarcopenia definition that aimed to foster advances in identifying and caring for people with sarcopenia. In early 2018, the Working Group met again (EWGSOP2) to update the original definition in order to reflect scientific and clinical evidence that has built over the last decade. This paper presents our updated findings. Objectives to increase consistency of research design, clinical diagnoses and ultimately, care for people with sarcopenia. Recommendations sarcopenia is a muscle disease (muscle failure) rooted in adverse muscle changes that accrue across a lifetime; sarcopenia is common among adults of older age but can also occur earlier in life. In this updated consensus paper on sarcopenia, EWGSOP2: (1) focuses on low muscle strength as a key characteristic of sarcopenia, uses detection of low muscle quantity and quality to confirm the sarcopenia diagnosis, and identifies poor physical performance as indicative of severe sarcopenia; (2) updates the clinical algorithm that can be used for sarcopenia case-finding, diagnosis and confirmation, and severity determination and (3) provides clear cut-off points for measurements of variables that identify and characterise sarcopenia. Conclusions EWGSOP2's updated recommendations aim to increase awareness of sarcopenia and its risk. With these new recommendations, EWGSOP2 calls for healthcare professionals who treat patients at risk for sarcopenia to take actions that will promote early detection and treatment. We also encourage more research in the field of sarcopenia in order to prevent or delay adverse health outcomes that incur a heavy burden for patients and healthcare systems.
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              Estimating the mean and variance from the median, range, and the size of a sample

              Background Usually the researchers performing meta-analysis of continuous outcomes from clinical trials need their mean value and the variance (or standard deviation) in order to pool data. However, sometimes the published reports of clinical trials only report the median, range and the size of the trial. Methods In this article we use simple and elementary inequalities and approximations in order to estimate the mean and the variance for such trials. Our estimation is distribution-free, i.e., it makes no assumption on the distribution of the underlying data. Results We found two simple formulas that estimate the mean using the values of the median (m), low and high end of the range (a and b, respectively), and n (the sample size). Using simulations, we show that median can be used to estimate mean when the sample size is larger than 25. For smaller samples our new formula, devised in this paper, should be used. We also estimated the variance of an unknown sample using the median, low and high end of the range, and the sample size. Our estimate is performing as the best estimate in our simulations for very small samples (n ≤ 15). For moderately sized samples (15 70), the formula range/6 gives the best estimator for the standard deviation (variance). We also include an illustrative example of the potential value of our method using reports from the Cochrane review on the role of erythropoietin in anemia due to malignancy. Conclusion Using these formulas, we hope to help meta-analysts use clinical trials in their analysis even when not all of the information is available and/or reported.
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                Author and article information

                Contributors
                k.prokopidis@liverpool.ac.uk
                Journal
                J Cachexia Sarcopenia Muscle
                J Cachexia Sarcopenia Muscle
                10.1007/13539.2190-6009
                JCSM
                Journal of Cachexia, Sarcopenia and Muscle
                John Wiley and Sons Inc. (Hoboken )
                2190-5991
                2190-6009
                13 February 2023
                April 2023
                : 14
                : 2 ( doiID: 10.1002/jcsm.v14.2 )
                : 671-683
                Affiliations
                [ 1 ] Department of Musculoskeletal Biology, Institute of Life Course and Medical Sciences University of Liverpool Liverpool UK
                [ 2 ] Society of Meta‐research and Biomedical Innovation London UK
                [ 3 ] Department of Life Sciences, Faculty of Natural Sciences Imperial College London London UK
                [ 4 ] WHO Collaborating Center for Epidemiology of Musculoskeletal Health and Aging Liège Belgium
                [ 5 ] Division of Public Health, Epidemiology and Health Economics University of Liège Liège Belgium
                [ 6 ] Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculo‐Skeletal Health and Ageing University of Liège Liège Belgium
                [ 7 ] Section of Geriatrics, Department of Internal Medicine and Paediatrics Ghent University Ghent Belgium
                [ 8 ] Geriatria, Accettazione Geriatrica e Centro di Ricerca per l'Invecchiamento, IRCCS INRCA Ancona Italy
                [ 9 ] Department of Nutrition and Dietetics Homerton University Hospital Foundation Trust London UK
                [ 10 ] Department of Metabolism, Digestion and Reproduction, Faculty of Medicine Imperial College London London UK
                [ 11 ] Medical School, Spinal Cord Injury Rehabilitation Clinic, General University Hospital Patras University of Patras Patras Greece
                [ 12 ] Department of Clinical Sciences and Community Health University of Milan Milan Italy
                [ 13 ] Geriatric Unit IRCCS Istituti Clinici Scientifici Maugeri Milan Italy
                [ 14 ] Academic Geriatric Medicine, Faculty of Medicine, University Hospital Southampton University of Southampton Southampton UK
                [ 15 ] Applied Research Collaboration Wessex, The National Institute of Health and Care Research (NIHR) University of Southampton Southampton UK
                [ 16 ] Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences Deakin University Burwood Victoria Australia
                [ 17 ] Department of Medicine, School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia
                [ 18 ] Department of Internal Medicine and Geriatrics University of Palermo Palermo Italy
                Author notes
                [*] [* ]Correspondence to: Konstantinos Prokopidis, Society of Meta‐research and Biomedical Innovation, London, UK. Email: k.prokopidis@ 123456liverpool.ac.uk
                Author information
                https://orcid.org/0000-0002-6264-9388
                https://orcid.org/0000-0003-1037-1983
                https://orcid.org/0000-0002-3858-4473
                https://orcid.org/0000-0002-9328-289X
                Article
                JCSM13190 JCSM-D-22-00704
                10.1002/jcsm.13190
                10067503
                36781175
                93d22bb7-bcb8-4343-b6cf-cc41f8297d5e
                © 2023 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 January 2023
                : 06 October 2022
                : 16 January 2023
                Page count
                Figures: 3, Tables: 3, Pages: 13, Words: 4548
                Categories
                Review
                Reviews
                Custom metadata
                2.0
                April 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:02.04.2023

                Orthopedics
                polypharmacy,medications,sarcopenia,physical function,ageing
                Orthopedics
                polypharmacy, medications, sarcopenia, physical function, ageing

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