scholarly journals Abdominal aortic calcification, bone mineral density and fractures: a systematic review and meta-analysis protocol

BMJ Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. e026232 ◽  
Author(s):  
Alexander J Rodríguez ◽  
Kevin Leow ◽  
Pawel Szulc ◽  
David Scott ◽  
Peter Ebeling ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Meta Analysis ◽  
Group Versus ◽  
Aortic Calcification ◽  
Mineral Density ◽  
Abdominal Aortic Calcification ◽  
Abdominal Aortic ◽  
Study Heterogeneity ◽  
Meta Analyses

IntroductionAbdominal aortic calcification (AAC) is associated with low bone mass and increased fracture risk. Two previous meta-analyses have investigated the association between AAC and fracture. However, these meta-analyses only identified articles until December 2016, undertook limited searches and did not explore potential sources of between-study heterogeneity. We aim to undertake a sensitive and comprehensive assessment of the relationship between AAC, bone mineral density (BMD) as well as prevalent and incident fractures.MethodsWe will search MEDLINE, EMBASE, Web of Science core collection and Google Scholar (top 200 articles sorted by relevance) from their inception to 1 June 2018. Reference lists of included studies and previous systematic reviews will be hand searched for additional eligible studies. Retrospective and prospective cohort studies (cross-sectional, case–control and longitudinal) reporting the association between AAC, BMD and fracture at any site will be included. At least two investigators will independently: (A) evaluate study eligibility and extract data, with a third investigator to adjudicate when discrepancies occur, (B) assess study quality by the Newcastle-Ottawa Scale for each cohort/study. The meta-analysis will be reported in adherence to the Meta-analysis of Observational Studies in Epidemiology criteria. AAC will be grouped as either: (1) AAC present or absent, (2) AAC categorised as ‘low’ (referent—lowest reported group) versus ‘high’ (all other groups) or (3) dose–response when AAC was assessed in ≥3 groups. Where primary event data were reported in individual studies, pooled risk differences and risk ratios with 95% CI will be calculated, from which, a summary estimate will be determined using DerSimonian-Laird random effects models. For the AAC and BMD pooled analyses, estimates will be expressed as standardised mean difference with 95% CI. We will examine the likelihood of publication bias and where possible, investigate potential reasons for between-study heterogeneity using subgroup analyses and meta-regression.Ethics and disseminationThe study will be submitted to a peer- reviewed journal and disseminated via research presentations.PROSPERO registration numberCRD42018088019.

scholarly journals Association Between Abdominal Aortic Calcification, Bone Mineral Density, and Fracture in Older Women

2019 ◽  
Vol 34 (11) ◽  
pp. 2052-2060 ◽  
Author(s):  
Joshua R Lewis ◽  
Celeste J Eggermont ◽  
John T Schousboe ◽  
Wai H Lim ◽  
Germaine Wong ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Older Women ◽  
Bone Mineral ◽  
Aortic Calcification ◽  
Mineral Density ◽  
Abdominal Aortic Calcification ◽  
Abdominal Aortic

scholarly journals Effects of Abdominal Aortic Calcification and Facet Joint Arthritis On Lumbar Bone Mineral Density Using Dual-Energy X-Ray Absorptiometry

2021 ◽  
Author(s):  
Minjoon Cho ◽  
Hong Seok Kim ◽  
Byung Sun Choi ◽  
Jae Hyup Lee
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Facet Joint ◽  
Lumbar Bone Mineral Density ◽  
Dual Energy ◽  
Mineral Density ◽  
Abdominal Aortic Calcification ◽  
X Ray ◽  
Abdominal Aortic ◽  
Joint Arthritis

Abstract Background Abdominal aortic calcification (AAC) may overestimate lumbar bone mineral density (BMD) examined by dual-energy X-ray absorptiometry (DXA); however, the degree of effect of AAC on lumbar BMD has not been quantified. In particular, no study has quantitatively compared and analysed segmental BMD and AAC using computed tomography (CT) scan. Thus, this study aimed to quantify the effect of AAC on BMD measurements using DXA via multiple linear regression analysis. Methods This study retrospectively reviewed participants >30 years of age who underwent DXA and spinal CT scans between 2014 and 2016. Variables that significantly affected the BMD of each lumbar segment were identified. Additionally, segmental facet joint arthritis (FJA) and AAC volume were evaluated using CT. Results A total of 620 subjects (153 males and 467 females) were included. The mean age was 71.6 ± 9.1 years (range, 31–89 years). AAC had the highest prevalence in L3 (45.2%), followed by L4 (41.1%). The average volume of AAC was the highest in L4 at 213.67 ± 443.82 mm3, followed by L3 at 161.95 ± 338.09 mm3. Our regression model found that Ln (L4BMD) was significantly correlated with age, BMI, FJA, and AAC volume in female subjects. Additionally, L4 BMD might be overestimated by approximately 0.90% for every 100 mm3 increase in AAC volume. The results for Ln (L3BMD) were almost identical. However, these relationships were not observed in males. Conclusion According to this model, AAC may overestimate lumbar BMD examined by DXA in a dose-dependent manner in females.

scholarly journals Effect of drugs on bone mineral density in postmenopausal osteoporosis: a Bayesian network meta-analysis

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Filippo Migliorini ◽  
Nicola Maffulli ◽  
Giorgia Colarossi ◽  
Jörg Eschweiler ◽  
Markus Tingart ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bayesian Network ◽  
Postmenopausal Osteoporosis ◽  
Bone Mineral ◽  
Bone Structure ◽  
Meta Analysis ◽  
Mineral Density ◽  
Level Of Evidence ◽  
Hip Bmd ◽  
Meta Analyses

Abstract Background Osteoporosis affects mostly postmenopausal women, leading to deterioration of the microarchitectural bone structure and low bone mass, with an increased fracture risk with associated disability, morbidity and mortality. This Bayesian network meta-analysis compared the effects of current anti-osteoporosis drugs on bone mineral density. Methods The present systematic review and network meta-analysis follows the PRISMA extension statement to report systematic reviews incorporating network meta-analyses of health care interventions. The literature search was performed in June 2021. All randomised clinical trials that have investigated the effects of two or more drug treatments on BMD for postmenopausal osteoporosis were accessed. The network comparisons were performed through the STATA Software/MP routine for Bayesian hierarchical random-effects model analysis. The inverse variance method with standardised mean difference (SMD) was used for analysis. Results Data from 64 RCTs involving 82,732 patients were retrieved. The mean follow-up was 29.7 ± 19.6 months. Denosumab resulted in a higher spine BMD (SMD −0.220; SE 3.379), followed by pamidronate (SMD −5.662; SE 2.635) and zoledronate (SMD −10.701; SE 2.871). Denosumab resulted in a higher hip BMD (SMD −0.256; SE 3.184), followed by alendronate (SMD −17.032; SE 3.191) and ibandronate (SMD −17.250; SE 2.264). Denosumab resulted in a higher femur BMD (SMD 0.097; SE 2.091), followed by alendronate (SMD −16.030; SE 1.702) and ibandronate (SMD −17.000; SE 1.679). Conclusion Denosumab results in higher spine BMD in selected women with postmenopausal osteoporosis. Denosumab had the highest influence on hip and femur BMD. Level of evidence Level I, Bayesian network meta-analysis of RCTs

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