3.2 Study characteristics
The 6 independently conducted observational studies included in the meta-analysis were published between 2007 and 2018 including a total of 388,252 individuals. The female rate was remarkably higher (59%–63.2% female) and very high in the study from Fernando et al (84%). Three studies were based in Asia, two in Europe, and one in South America. The 2 studies from Denmark and the 3 studies from Taiwan were conducted with data from national wide databases. The definition of OA is described in Table 1. Four studies defined OA with clinical ICD codes, including hand-, knee-, hip-, shoulder, and ankle/foot OA.[11,19–21] Two studies did not specify OA.[18,22] One study defined the investigation in dementia by CIM and defined it by MMSE <23. One study defined dementia as AD using registered database. Four studies used ICD codes including AD, vascular dementia, or other subforms.[11,19–21] Three studies adjusted for age and gender[11,20] or used age and gender matched control groups. The median STROBE quality score was 81.7% (range 68%-91%). Five publications had a STROBE quality score ≥75%. The details of the study characteristics are shown in Table 1.
3.3 Osteoarthritis and the risk of dementia
Overall, OA was associated with a significantly increased risk for dementia (OR = 1.20; 95% CI, 1.03–1.39, I 2 = 95.6%, p < .05) (Fig. 2). The overall estimate of OR increased after analysis using fixed effects model (OR 1.24; 95% CI, 1.21–1.26, p < .0001). The heterogeneity across the studies was very high (I 2 = 95.6%, P < .0001). After exclusion of the study with a STROBE Quality score <75% the risk for dementia was slightly increased (OR 1.33; 95% CI, 1.17–1.5, I 2 = 93.5%, P < .0001). After pooling the studies that reported adjustment for age and gender, the risk for dementia increased even more (OR 1.36; 95% CI, 1.22–1.51, I 2 = 75.6%, P < 0.0001). For further sensitivity analysis, we analyzed the pooled estimates after removing different combinations of the studies which extracted their data from the same databases. Two patterns were seen. Pattern one (Korner 2009, Fernando 2014, including one Taiwanese study) showed a persistent increased risk of dementia (OR 1.22–1.37; 95% CI, (1.12–1.13)–(1.33–1.67), P < .001). Pattern two (Kessing 2007, Fernando 2014, including one Taiwanese study) showed a slightly increased risk of dementia without sufficient significant levels (OR 1.11–1.19; 95% CI, (0.67–0.69)–(1.8–1.88), P = .55–.66).
There was a moderate asymmetrical distribution in the funnel plot for the studies presenting the association between OA and dementia (Fig. 3).
This study investigated the potential relationships between OA and the risk of dementia by conducting a systemic review and meta-analysis. The result of our meta-analysis shows an association between OA and increased risk for dementia. The risk slightly increased after pooling for those that adjusted for age and gender, and also after pooling the studies with a STROBE quality score above-equal 75%. Our results provide mounting evidence that OA is not only a local disease but also a systemic-associated disease.
The relationship for the association between OA and increased risk for dementia remains unclear. First, we need to consider possible bias. There are several possible confounders in the relationship between OA and dementia. Firstly, the use of non-steroidal-anti-inflammatory drugs (NSAIDs) is known to increase hypertension and cardiovascular risk, which are both recognized risk factors for dementia and CIM. Second, the population of the included studies contain more female and elderly patients. Female gender and age are not only risk factors for OA but also for dementia. Obesity was not documented in the selected studies but could also be a typical population-based confounder. Our pooled analysis for studies that adjusted for age and gender showed an increased risk for dementia in OA population. Third, in elderly population we also need to consider the increased prevalence of age-associated common diseases and syndromes such as hypertension, cardiovascular diseases, and insulin resistance. They potentially could bias our demonstrated association between OA and risk for dementia (Fig. 4), as they are well recognized risk factors for dementia. Particularly vascular co-morbidities need to be considered as confounders, because they are highly prevalent in OA population. Two out of six studies included in this meta-analysis adjusted for comorbidities and showed an increased risk for dementia in OA population.[11,20] Another OA population-specific characteristic is physical inactivity when lower limbs are affected. Physical inactivity is broadly accepted to increase systemic inflammation and could therefore play an indirect role for the association between OA and the risk of dementia.
A possible explanation for direct role of OA to increase the risk of dementia and CIM could be through local inflammatory cytokines. An experimental OA animal model supports this view: interleukin-1-beta (IL-1beta) was proposed to be one key mediator to mediate neuroinflammation and promote amyloid-beta-plaques deposition, which is a hallmark of AD (Fig. 4). Beta amyloid is a neurotoxin which potentially induces neuronal loss and also potentially enhances plaque formation in cerebral arteries and promote vascular dementia and CIM (Fig. 4). There is a distinct possibility that local cytokines are released from hypertrophic cartilage, sclerotic subchondral bone, or inflamed synovium in OA joints and reach the brain tissue through the blood circulation and lead to neuroinflammation and cerebrovascular alteration. Different possible shared inflammatory mechanism has been reviewed recently. C-reactive protein (CRP), interleukin-6 (IL-6), oxidized LDL (ox-LDL), and reactive oxygen species (ROS) has been proposed as potential key players.
This systemic review and meta-analysis does not claim causal relationship between OA and the pathogenesis of dementia or CIM. However, it points out the importance of further investigations in OA and its associated co-morbidities. Despite our wide literature search, only a few relevant publications were found. There is clearly a lack of studies investigating in this matter.
OA and dementia are both age-associated diseases and because we are facing a growing elderly population, we will face a big burden on our society caused by both diseases. Besides increasing health costs, it has been shown that patients with hip and knee osteoarthritis were found to have a higher risk of death compared to the normal population and the mortality was pronounced with causes of death for dementia. Walking disability has been proposed to be one of the major risk factor in this population.
Another problem within the OA and dementia cohort is that patients with dementia or CIM often be underdiagnosed, because the objectivation of pain and other symptoms are more difficult.
In the literature search we found that OA was often used as a control group, when association between a specific disease and dementia was investigated.[19,21,34,35] The authors legitimize using OA as a control group by claiming that OA does not affect the brain's integrity.[36–38] The result of our meta-analysis suggests that this might not be the case and that the use of OA as a control group could be misleading. This is supported by a clinical study that demonstrated that half of the OA patients were in a depressive state.
This meta-analysis provides a wide search for the very rear data on the link between OA and dementia. However, this study had several limitations. First, due to the lack of published data, we were not able to do subgroup-analyses for different OA localizations. Knee OA might have a different effect than hand OA. Only one abstract found investigating specifically in radiologic knee OA and showed a positive association of increased risk of CIM. The same limitation counts for dementia subgroups like AD, vascular dementia, or cognitive impairment. This study therefore provides an explorative overview between OA and dementia. To further clarify the relationships between OA and dementia, we suggest that the subgroups of dementia and primary joint-specific OA should be carefully investigated in. Prospective studies with clear disease definition could provide evidence for the increased risk and could further explore the causality. Second, we included only six studies in this meta-analysis and excluded 3 abstracts without full-text. Within these six studies the two studies from Denmark and the three studies from Taiwan, although independently conducted, they used the same databases. There is probably an overlap of data between those studies, as they also used overlapping time periods for the data extraction. In our sensitivity analysis, we can see that our result was altered in two patterns. After removing Korner 2009 and two studies from Taiwan, our result was only slightly affected, whereas the statistical significance of the summarized pooled OR was not sufficiently reached when removing Kessing 2007 and two studies from Taiwan. It suggests that the studies from Taiwan might push towards increased risk, whereas the studies from Denmark use very different data from the register. Given the fact that the number of patients in the Korner 2009 study was very small and no adjustment of gender and age was provided, the result from Korner 2009 should be assessed very carefully. Third, the included studies are observational studies and do not clarify if the association is causal and do not elucidate possible underlying mechanism.
In summary, this meta-analysis supports mounting evidence that OA is a systemic associated disease. There is an association between OA and risk of dementia. However, it does not provide causality, nor can we state that the risk of dementia can be improved by treating OA. Further prospective cohort studies are needed to clarify whether OA is an independent risk factor for dementia.
AW takes responsibility for the integrity of the work as a whole, from inception to the finished manuscript.
Conception and design: AW, CW, ShM.
Collection and assembly of data: AW, ShM.
Analysis and interpretation of the data: AW, CW, ShM, FB, JS.
Drafting and final approval of the manuscript: AW, CW, ShM, FB, JS, YH, YPZ.
Conceptualization: Adrian Weber, Shing hung Mak, Chunyi Wen.
Data curation: Adrian Weber, Shing hung Mak, Chunyi Wen.
Formal analysis: Adrian Weber, Shing hung Mak, Chunyi Wen.
Funding acquisition: Chunyi Wen.
Investigation: Adrian Weber, Shing hung Mak, Chunyi Wen.
Methodology: Adrian Weber, Shing hung Mak, Francis Berenbaum, Jérémie Sellam, Yong-Ping Zheng, Chunyi Wen.
Project administration: Adrian Weber, Shing hung Mak, Chunyi Wen.
Resources: Adrian Weber, Shing hung Mak, Chunyi Wen.
Software: Adrian Weber, Shing hung Mak, Chunyi Wen.
Supervision: Adrian Weber, Shing hung Mak, Chunyi Wen.
Validation: Adrian Weber, Shing hung Mak, Francis Berenbaum, Jérémie Sellam, Yong-Ping Zheng, Yifan Han, Chunyi Wen.
Visualization: Adrian Weber, Shing hung Mak, Chunyi Wen.
Writing – original draft: Adrian Weber, Shing hung Mak, Francis Berenbaum, Jérémie Sellam, Yong-Ping Zheng, Chunyi Wen.
Writing – review & editing: Adrian Weber, Shing hung Mak, Francis Berenbaum, Jérémie Sellam, Yong-Ping Zheng, Yifan Han, Chunyi Wen.
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dementia; meta-analysis; osteoarthritis; systematic review
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