SynthesisClinical rheumatology2021
Metabolic syndrome, hypertension, and hyperglycemia were positively associated with knee osteoarthritis, while dyslipidemia showed no association with knee osteoarthritis.
Synthesis in Clinical rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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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.
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Who cites it
29 citing papers in PubMed, 55 citations in OpenAlex.
- Endocrine‑metabolic imbalance drives osteoarthritis: From whole‑joint pathobiology to precision therapy (Review).International journal of molecular medicine · 2026Review
- Association of blood pressure with knee pain progression over 4 years in middle-aged and elderly individuals with or at risks for osteoarthritis: data from the Osteoarthritis Initiative.Clinical rheumatology · 2026Article
- Machine learning-based prediction of Metabolic Syndrome risk in the Quebec population.BMJ digital health & AI · 2026Article
- Evaluating anthropometric indices of obesity for early osteoarthritis detection: focus on body fat percentage and relative fat mass.Clinical rheumatology · 2025Article
- Metabolic Dysregulation in Postmenopause: Implications for Knee Joint Health.Journal of clinical medicine · 2025Article
- Osteoarthritis progression pattern based on patient specific characteristics using machine learning.NPJ digital medicine · 2025Article
- Inverse L-shaped association of triglyceride glucose index with all-cause and cerebral cardiovascular-related mortality in osteoarthritis patients: a cohort of 4145 patients.Clinical rheumatology · 2025Article
- Association Between Joint Pain and Cancer in 8.45 Million Korean Adults: Insights from a National Cross-Sectional Study.Journal of clinical medicine · 2025Article
- Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models.Scientific reports · 2025Article
- Obesity and hyperlipidemia were associated with more severe synovitis and structural abnormalities as well as inferior functional outcomes in knee osteoarthritis: a retrospective comparative study.Journal of orthopaedic surgery and research · 2024Article
- Non-pharmacological and non-surgical interventions to manage patients with knee osteoarthritis: An umbrella review 5-year update.Osteoarthritis and cartilage open · 2024Review
- Machine learning analysis of serum cholesterol's impact on knee osteoarthritis progression.Scientific reports · 2024Article
- Metabolic syndrome and arthritis among Mexican American older adults: findings from a 23-year follow-up.European geriatric medicine · 2024Article
- Blood pressure is associated with knee pain severity in middle-aged and elderly individuals with or at risks for osteoarthritis: data from the Osteoarthritis Initiative.BMC musculoskeletal disorders · 2024Article
- Article
- Phenome-wide causal associations between osteoarthritis and other complex traits through the latent causal variable analysis.BMC musculoskeletal disorders · 2024Article
- Novel insights into the role of metabolic disorder in osteoarthritis.Frontiers in endocrinology · 2024Review
- Causal relationship between modifiable risk factors and knee osteoarthritis: a Mendelian randomization study.Frontiers in medicine · 2024Article
- Article
- Comorbidity in incident osteoarthritis cases and matched controls using electronic health record data.Arthritis research & therapy · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveMetabolic syndrome (MetS) is a clustering of at least three of the following four medical conditions: obesity, hypertension, dyslipidemia, and hyperglycemia. We aimed to discover the relationships between these diseases and osteoarthritis (OA) of the knee.
methodsWe searched four databases (EMBASE, PubMed, Cochrane Library, and MEDLINE), as well as articles on websites and conference materials. Study effect estimates and their 95% confidence intervals (CIs) were extracted and calculated. Sensitivity analyses were undertaken to determine inter-study heterogeneity. Finally, we tested for publication bias to determine whether the outcome of the meta-analysis was robust.
resultsA total of 1609 articles were identified, 40 of which were included. In radiological studies, the relationships with OA were increased for people with the following diseases: metabolic syndrome (OR 1.418, 95% CI 1.162 to 1.730), hypertension (OR 1.701, 95% CI 1.411 to 2.052), and hyperglycemia (OR 1.225, 95% CI 1.054 to 1.424). In symptomatic studies, the outcomes were similar in metabolic syndrome (OR 1.174, 95% CI 1.034 to 1.332) and hypertension (OR 1.324, 95% CI 1.186 to 1.478) studies, while there were no associations in hyperglycemia (OR 0.975, 95% CI 0.860 to 1.106) studies. There was no correlation between dyslipidemia and OA, whether in radiological studies (OR 1.216, 95% CI 0.968 to 1.529) or symptomatic studies (OR 1.050, 95% CI 0.961 to 1.146).
conclusionsIn both studies, metabolic syndrome and hypertension were positively associated with knee OA, and dyslipidemia showed no correlations. Hyperglycemia was associated with OA in radiological studies, while results were reversed in symptomatic studies. Key Points • The hypothesis that metabolic syndrome and its components increase the risk for knee osteoarthritis is attractive; thus, this meta-analysis may help us find out the answer. • There were lots of large-scale studies here, and the total participants were considerable; and this meta-analysis was relatively robust because of reasonable heterogeneity and publication bias. • Targeted education and effective management of risk factors may be helpful for reducing the prevalence of knee osteoarthritis.
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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.