Prevalence of cardiovascular risk factors in osteoarthritis patients derived from primary care records: a systematic review of observational studies
Huang, X.; Wilkie, R.; Mamas, M.; Yu, D.
Show abstract
BackgroundPeople with osteoarthritis are at a high risk of cardiovascular disease (CVD). Detecting CVD risk factors in this high-risk population will help to improve CVD outcomes. Primary care electronic health records (EHRs) provide opportunities for the surveillance of CVD risk factors in the osteoarthritis population. This paper aimed to systematically review evidence of prevalence estimates of CVD risk factors in people with osteoarthritis derived from primary care EHRs. MethodsEight databases including MEDLINE were systematically searched to January 2019. Observational studies using primary care EHRs data to estimate the prevalence of six CVD risk factors in people with osteoarthritis were included. A narrative review was conducted to summarise study results. ResultsSix studies were identified. High heterogeneity between studies prevented the calculation of pooled estimates. One study reported the prevalence of smoking (12.5%); five reported hypertension (range: 19.7%-55.5%); four reported obesity (range: 34.4%-51.6%); two reported dyslipidaemia (6.0%, 13.3%); five reported diabetes (range: 5.2%-18.6%); and one reported chronic kidney disease (1.8%) in people with osteoarthritis. One study reported a higher prevalence of hypertension (Odds Ratio (OR) 1.25, 95% confidence interval (CI) 1.19-1.32), obesity (OR 2.44, 95%CI 2.33-2.55), dyslipidaemia (OR 1.24, 95%CI 1.14-1.35) and diabetes (1.11, 95%CI 1.02-1.22) in the osteoarthritis population compared with the matched non-osteoarthritis population. ConclusionsFrom studies identified in this review that had used primary care EHRs, prevalence estimates of CVD risk factors were higher in people with osteoarthritis compared with those without. These estimates may provide baseline frequency of CVD risk factors in osteoarthritis patients in primary care, although this is limited by the small number of studies and high heterogeneity. Further studies of frequency, using primary care EHRs, will help to answer whether this data source can be used for evaluating approaches to manage CVD risk factors in osteoarthritis patients. Subject AreaPrimary care research
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Mapping the intersection of social status and comorbidity in knee osteoarthritis: a WOMAC-based study 92%
- Intra- and inter-rater reliability, agreement, and minimal detectable change of the handheld dynamometer in individuals with symptomatic hip osteoarthritis 92%
- Costs and models used in the economic analysis of Total Knee Replacement (TKR): A Systematic Review 92%
Similar papers in this journal
- Exploring Risk Factors for Comorbid Depression in Osteoarthritis: A Scoping Review Protocol 95%
- Barriers and facilitators to implementing core osteoarthritis treatments in China: a mixed-method study 93%
- The devil is in the details: Reporting and transparent research practices in sports medicine and orthopedic clinical trials 91%
Similar papers in this journal
- Efficacy of a multiple-component and multifactorial personalized fall prevention program in community-dwelling older adults at moderate-to-high fall risk: The PRE.C.I.S.A. Randomized Controlled Trial 89%
- Factors Impacting Quality of Life in Multiple System Atrophy 88%
- Sleep Duration and the Risk of Metabolic Syndrome: a Systematic Review and Meta-analysis 87%
Similar papers in this journal
- Development and validation of decision rules models to stratify coronary artery disease, diabetes, and hypertension risk in preventive care: cohort study of returning UK Biobank participants 89%
- Depression, anxiety, and chronic fatigue symptoms in acute rheumatoid arthritis are associated with immune-inflammatory, autoimmune, endogenous opioid system and lactosylceramide signaling pathways: a nomothetic network approach 87%
- Impact of Comorbidities on SARS-CoV-2 Viral Entry-Related Genes 87%
Similar papers in this journal
- Home monitoring of HbA1c in diabetes mellitus: A protocol for systematic review and narrative synthesis on reliability, accuracy, and patient acceptability 89%
- A Study of Patients undergoing Trigger Finger Release Surgery in a Primary Care setting – Organisational Capabilities, Outcomes and Benefits 88%
- Drug treatments affecting ACE2 in COVID-19 infection: a systematic review protocol 88%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.