ReviewJournal of clinical medicine2020
Common Musculoskeletal Disorders in the Elderly: The Star Triad.
Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.
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
44 citing papers in PubMed, 3 syntheses or guidelines pooled it, 122 citations in OpenAlex.
- Adverse events among older adults receiving chiropractic spinal manipulation and related treatments: an updated systematic review.Chiropractic & manual therapies · 2026Pooled it
- Prevalence of rheumatic and musculoskeletal diseases (RMDs) in nursing home residents: a systematic literature review.European geriatric medicine · 2024Pooled it
- Experiment protocols for brain-body imaging of locomotion: A systematic review.Frontiers in neuroscience · 2023Pooled it
- Musculoskeletal degeneration and cardiovascular aging: a narrative review of shared mechanobiological pathways.Molecular biology reports · 2026Review
- Smartphone-Based Field Assessment of Trunk Stability and Its Relationship With Whole-Body Balance in Older Adults: Cross-Sectional Study.JMIR aging · 2026Article
- Factors affecting patients' trust in physicians in the cases of prescribing invasive interventions among musculoskeletal patients referring to clinics in Shiraz, 2023: a discrete choice experiment.Scientific reports · 2026Article
- Multivariate genetic analysis reveals three distinct pathological dimensions in musculoskeletal disorders.Nature communications · 2026Article
- Age-related changes in hand function - it's not just about muscle strength.Frontiers in human neuroscience · 2026Review
- The association between body fat distribution and osteosarcopenia in older adults: evidence from the PoCOsteo study.Aging clinical and experimental research · 2025Article
- Prevalence and associated factors of musculoskeletal disorders among older adults living in Bahir Dar City Ethiopia cross-sectional study.Scientific reports · 2025Article
- Lipid metabolism in age-related musculoskeletal disorders: insights into sarcopenia and osteoporosis.BMC biology · 2025Review
- An Integrated Virtual Reality-Based Telerehabilitation Platform to Support Recovery and Maintenance of Functional Abilities Among Older Adults: Protocol for a Usability and Acceptability Study.JMIR research protocols · 2025Article
- Does engagement in healthy ageing differ according to gender? Community-based cross-sectional study.Journal of health, population, and nutrition · 2025Article
- Outcome and complication following single-staged posterior minimally invasive surgery in adult spinal deformity.BMC musculoskeletal disorders · 2025Article
- The Intersection of Sarcopenia and Musculoskeletal Pain: Addressing Interconnected Challenges in Aging Care.International journal of environmental research and public health · 2025Review
- Gender Differences in Predictors of Physical Functioning Limitations Among the Elderly Population in Serbia: A Population-Based Modeling Study.Medicina (Kaunas, Lithuania) · 2025Article
- The Correlations of Sarcopenia and Obesity Status with Prevalence of Osteoarthritis in Older Adults.Geriatric orthopaedic surgery & rehabilitation · 2025Article
- Contemporary small-scale subsistence populations offer unique insights into human musculoskeletal health and aging.Science advances · 2024Review
- Unlocking the Potential of the Elderly Population in Serbia: A Modeling Study on Musculoskeletal Disorders and Associated Factors.Journal of clinical medicine · 2024Article
- Workstation Risk Factors for Work-related Musculoskeletal Disorders Among IT Professionals in Indonesia.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Musculoskeletal disorders are debilitating conditions that significantly impair the state of health, especially in elderly subjects. A pathological triad of inter-related disorders that are highly prevalent in the elderly consists of the following main "components": sarcopenia, tendinopathies, and arthritis. The aim of this review is to critically appraise the literature relative to the different disorders of this triad, in order to highlight the pathophysiological common denominator and propose strategies for personalized clinical management of patients presenting with this combination of musculoskeletal disorders. Their pathophysiological common denominator is represented by progressive loss of (focal or generalized) neuromuscular performance with a risk of adverse outcomes such as pain, mobility disorders, increased risk of falls and fractures, and impaired ability or disability to perform activities of daily living. The precise management of these disorders requires not only the use of available tools and recently proposed operational definitions, but also the development of new tools and approaches for prediction, diagnosis, monitoring, and prognosis of the three disorders and their combination.
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What OpenQuestion holds
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.