scholarly journals Meta-Analysis of COVID-19 treatments on patients with a previous diagnosis of cardiovascular disease

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
S Ben-Aicha ◽  
J Buchanan ◽  
M Moscarelli ◽  
P Punjabi ◽  
C Emanueli
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Risk Factor ◽  
Quantitative Analysis ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Meta Analysis ◽  
Kappa Coefficient ◽  
Funnel Plot ◽  
Meta Regression

Abstract Background The COVID-19 pandemic has spread globally, infecting and killing millions. Those subjects with cardiovascular disease (CVD) are at higher risk of severe COVID-19 morbidity and mortality following SARS-CoV-2 infection. Purpose To investigate the response to different treatments against COVID-19 in patients with a pre-existing CVD. Methods We conducted a systematic review and meta-analysis following Cochrane, PRISMA and MOOSE guidelines (PROSPERO ref:CRD42020183057). Eligible articles reported in-hospital mortality rate in COVID-19 patients with CVD after testing specific treatments. Statistical concordance was performed by Cohen's kappa coefficient. The primary outcome was in-hospital mortality rate, secondary outcome was the length of hospital stay (LOS). The analysis utilised a random-effects model. Categorical variables were expressed as risk ratio (RR) and continuous variable with weighted mean difference (WMD) and standard deviation with 95% confidence interval (CI). I2 and Chi-tests were used to assess studies' heterogeneity. Publication bias was visualised by L'Abbe' plot and funnel plot with Egger's test. Subgroup analysis (pooling analysis) was also performed to compare the three groups' mortality differences: 'CVD treated' vs.'CVD untreated' vs.'no-CVD (treated and untreated)'. Meta-regression models were used to determine the effects of specific treatments and risk factors on the primary outcomes. R-studio used for analysis. Results Of 1,673 articles retrieved, 46 studies included CVD patients from which 11 included control group, finally five were comparative studies and were included in the quantitative analysis. From those studies, the sample size was 130 (mean age 63.9±2.7 years; 55.3% male). There was 100% concordance between reviewers equating to a Cohen's kappa coefficient of κ=1. The most frequent CV risk factor (CVRF) was hypertension (60%) followed by diabetes (28.5%). The most frequent CVD seen in patients was coronary artery disease at 9.09% and peripheral arterial disease at 5.4%. Mortality rate was significant higher in the CVD treated group (RR:1.52; 95% CI [1.05,2.21], CVD treated vs overall population p=0.03). Meta-regression showed that no treatment was significant associated to mortality and systemic hypertension, but an independent risk factor for mortality. Pooled single analysis showed no difference between treated vs untreated CVD patients. There was certain degree of heterogeneity (I2 50%) across the studies. L'Abbe and funnel plot visualized not significant dispersion (Egger test, p=0.71). There was no difference in terms of LOS [0,79, 95% CI (−0.48, 2,05); p-value 0.22]. Conclusions This quantitative analysis showed that CVD patients despite specific treatments were exposed to significant higher mortality when compared to the overall population. These results remark the clinical relevance to reduce CVD risk factors and ameliorate specific COVID-19 treatments to lower the risk of mortality in this group FUNDunding Acknowledgement Type of funding sources: None.

scholarly journals The relationship of COVID-19 severity with cardiovascular disease and its traditional risk factors: A systematic review and meta-analysis

2020 ◽  
Author(s):  
Kunihiro Matsushita ◽  
Ning Ding ◽  
Minghao Kou ◽  
Xiao Hu ◽  
Mengkun Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Cardiovascular Disease ◽  
Meta Analysis ◽  
Multivariable Analysis ◽  
Renin Angiotensin System ◽  
Regression Analyses ◽  
Male Sex ◽  
Meta Regression ◽  
Traditional Risk Factors

AbstractBackgroundWhether cardiovascular disease (CVD) and its traditional risk factors predict severe coronavirus disease 2019 (COVID-19) is uncertain, in part, because of potential confounding by age and sex.MethodsWe performed a systematic review of studies that explored pre-existing CVD and its traditional risk factors as risk factors of severe COVID-19 (defined as death, acute respiratory distress syndrome, mechanical ventilation, or intensive care unit admission). We searched PubMed and Embase for papers in English with original data (≥10 cases of severe COVID-19). Using random-effects models, we pooled relative risk (RR) estimates and conducted meta-regression analyses.ResultsOf the 661 publications identified in our search, 25 papers met our inclusion criteria, with 76,638 COVID-19 patients including 11,766 severe cases. Older age was consistently associated with severe COVID-19 in all eight eligible studies, with RR >∼5 in >60-65 vs. <50 years. Three studies showed no change in the RR of age after adjusting for covariate(s). In univariate analyses, factors robustly associated with severe COVID-19 were male sex (10 studies; pooled RR=1.73, [95%CI 1.50-2.01]), hypertension (8 studies; 2.87 [2.09-3.93]), diabetes (9 studies; 3.20 [2.26-4.53]), and CVD (10 studies; 4.97 [3.76-6.58]). RR for male sex was likely to be independent of age. For the other three factors, meta-regression analyses suggested confounding by age. Only four studies reported multivariable analysis, but most of them showed adjusted RR ∼2 for hypertension, diabetes, and CVD. No study explored renin-angiotensin system inhibitors as a risk factor for severe COVID-19.ConclusionsDespite the potential for confounding, these results suggest that hypertension, diabetes, and CVD are independently associated with severe COVID-19 and, together with age and male sex, can be used to inform objective decisions on COVID-19 testing, clinical management, and workforce planning.

scholarly journals Cardiovascular risk factors and mortality in hospitalized patients with COVID-19: systematic review and meta-analysis of 45 studies and 18,300 patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Angelo Silverio ◽  
Marco Di Maio ◽  
Rodolfo Citro ◽  
Luca Esposito ◽  
Giuseppe Iuliano ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Cardiovascular Risk ◽  
Hospital Mortality ◽  
Cardiovascular Risk Factors ◽  
Meta Analysis ◽  
Hospital Death ◽  
Male Sex ◽  
Meta Regression ◽  
Meta Regression Analysis

Abstract Background A high prevalence of cardiovascular risk factors including age, male sex, hypertension, diabetes, and tobacco use, has been reported in patients with Coronavirus disease 2019 (COVID-19) who experienced adverse outcome. The aim of this study was to investigate the relationship between cardiovascular risk factors and in-hospital mortality in patients with COVID-19. Methods MEDLINE, Cochrane, Web of Sciences, and SCOPUS were searched for retrospective or prospective observational studies reporting data on cardiovascular risk factors and in-hospital mortality in patients with COVID-19. Univariable and multivariable age-adjusted analyses were conducted to evaluate the association between cardiovascular risk factors and the occurrence of in-hospital death. Results The analysis included 45 studies enrolling 18,300 patients. The pooled estimate of in-hospital mortality was 12% (95% CI 9–15%). The univariable meta-regression analysis showed a significant association between age (coefficient: 1.06; 95% CI 1.04–1.09; p < 0.001), diabetes (coefficient: 1.04; 95% CI 1.02–1.07; p < 0.001) and hypertension (coefficient: 1.01; 95% CI 1.01–1.03; p = 0.013) with in-hospital death. Male sex and smoking did not significantly affect mortality. At multivariable age-adjusted meta-regression analysis, diabetes was significantly associated with in-hospital mortality (coefficient: 1.02; 95% CI 1.01–1.05; p = 0.043); conversely, hypertension was no longer significant after adjustment for age (coefficient: 1.00; 95% CI 0.99–1.01; p = 0.820). A significant association between age and in-hospital mortality was confirmed in all multivariable models. Conclusions This meta-analysis suggests that older age and diabetes are associated with higher risk of in-hospital mortality in patients infected by SARS-CoV-2. Conversely, male sex, hypertension, and smoking did not independently correlate with fatal outcome.

scholarly journals Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis

BMJ ◽  
2020 ◽  
pp. m131 ◽  
Author(s):  
G David Batty ◽  
Catharine R Gale ◽  
Mika Kivimäki ◽  
Ian J Deary ◽  
Steven Bell
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Risk Factor ◽  
Cohort Study ◽  
Health Surveys ◽  
Response Rate ◽  
Meta Analysis ◽  
Uk Biobank ◽  
Hazard Ratios ◽  
Individual Participant

AbstractObjectiveTo compare established associations between risk factors and mortality in UK Biobank, a study with an exceptionally low rate of response to its baseline survey, against those from representative studies that have conventional response rates.DesignProspective cohort study alongside individual participant meta-analysis of other cohort studies.SettingUnited Kingdom.ParticipantsAnalytical sample of 499 701 people (response rate 5.5%) in analyses in UK Biobank; pooled data from the Health Surveys for England (HSE) and the Scottish Health Surveys (SHS), including 18 studies and 89 895 people (mean response rate 68%). Both study populations were linked to the same nationwide mortality registries, and the baseline age range was aligned at 40-69 years.Main outcome measureDeath from cardiovascular disease, selected malignancies, and suicide. To quantify the difference between hazard ratios in the two studies, a ratio of the hazard ratios was used with HSE-SHS as the referent.ResultsRisk factor levels and mortality rates were typically more favourable in UK Biobank participants relative to the HSE-SHS consortium. For the associations between risk factors and mortality endpoints, however, close agreement was seen between studies. Based on 14 288 deaths during an average of 7.0 years of follow-up in UK Biobank and 7861 deaths over 10 years of mortality surveillance in HSE-SHS, for cardiovascular disease mortality, for instance, the age and sex adjusted hazard ratio for ever having smoked cigarettes (versus never) was 2.04 (95% confidence interval 1.87 to 2.24) in UK Biobank and 1.99 (1.78 to 2.23) in HSE-SHS, yielding a ratio of hazard ratios close to unity (1.02, 0.88 to 1.19). The overall pattern of agreement between studies was essentially unchanged when results were compared separately by sex and when baseline years and censoring dates were aligned.ConclusionDespite a very low response rate, risk factor associations in the UK Biobank seem to be generalisable.

The burden of cardiovascular disease risk factors in the Middle East: A systematic review and meta-analysis focusing on primary prevention

2020 ◽  
Vol 18 ◽  
Author(s):  
Akshaya Srikanth Bhagavathula ◽  
Abdullah Shehab ◽  
Anhar Ullah ◽  
Jamal Rahmani
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Cardiovascular Disease ◽  
Family History ◽  
Primary Prevention ◽  
Middle East ◽  
Disease Risk ◽  
Meta Analysis ◽  
Middle Eastern ◽  
History Of

Background: The increasing incidence of cardiovascular disease (CVD) threatens the Middle Eastern population. Several epidemiological studies have assessed CVD and its risk factors in terms of the primary prevention of CVD in the Middle East. Therefore, summarizing the information from these studies is essential. Aim: We conducted a systematic review to assess the prevalence of CVD and its major risk factors among Middle Eastern adults based on the literature published between January 1, 2012 and December 31, 2018 and carried out a meta-analysis. Methods: We searched electronic databases such as PubMed/Medline, ScienceDirect, Embase and Google Scholar to identify literature published from January 1, 2012 to December 31, 2018. All the original articles that investigated the prevalence of CVD and reported at least one of the following factors were included: hypertension, diabetes, dyslipidaemia, smoking and family history of CVD. To summarize CVD prevalence, we performed a random-effects meta-analysis. Results: A total of 41 potentially relevant articles were included, and 32 were included in the meta-analysis (n=191,979). The overall prevalence of CVD was 10.1% (95% confidence interval (CI): 7.1-14.3%, p<0.001) in the Middle East. A high prevalence of CVD risk factors, such as dyslipidaemia (43.3%; 95% CI: 21.5-68%), hypertension (26.2%; 95% CI: 19.6-34%) and diabetes (16%; 95% CI: 9.9-24.8%), was observed. The prevalence rates of other risk factors, such as smoking (12.4%; 95% CI: 7.7-19.4%) and family history of CVD (18.7%; 95% CI: 15.4-22.5%), were also high. Conclusion: The prevalence of CVD is high (10.1%) in the Middle East. The burden of dyslipidaemia (43.3%) in this region is twice as high as that of hypertension (26.2%) and diabetes mellitus (16%). Multifaceted interventions are urgently needed for the primary prevention of CVD in this region.

scholarly journals Incidence and risk factors of delirium after percutaneous coronary intervention in individuals hospitalised for acute myocardial infarction: protocol for a systematic review and meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e044564
Author(s):  
Kaizhuang Huang ◽  
Jiaying Lu ◽  
Yaoli Zhu ◽  
Tao Cheng ◽  
Dahao Du ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Systematic Review ◽  
Acute Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Risk Factor ◽  
Meta Analysis ◽  
Coronary Intervention ◽  
Cochrane Library ◽  
Percutaneous Coronary

IntroductionDelirium in the postoperative period is a wide-reaching problem that affects important clinical outcomes. The incidence and risk factors of delirium in individuals with acute myocardial infarction (AMI) after primary percutaneous coronary intervention (PCI) has not been completely determined and no relevant systematic review and meta-analysis of incidence or risk factors exists. Hence, we aim to conduct a systematic review and meta-analysis to ascertain the incidence and risk factors of delirium among AMI patients undergoing PCI.Methods and analysesWe will undertake a comprehensive literature search among PubMed, EMBASE, Cochrane Library, PsycINFO, CINAHL and Google Scholar from their inception to the search date. Prospective cohort and cross-sectional studies that described the incidence or at least one risk factor of delirium will be eligible for inclusion. The primary outcome will be the incidence of postoperative delirium. The quality of included studies will be assessed using a risk of bias tool for prevalence studies and the Cochrane guidelines. Heterogeneity of the estimates across studies will be assessed. Incidence and risk factors associated with delirium will be extracted. Incidence data will be pooled. Each risk factor reported in the included studies will be recorded together with its statistical significance; narrative and meta-analytical approaches will be employed. The systematic review and meta-analysis will be presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.Ethics and disseminationThis proposed systematic review and meta-analysis is based on published data, and thus there is no requirement for ethics approval. The study will provide an up to date and accurate incidence and risk factors of delirium after PCI among patients with AMI, which is necessary for future research in this area. The findings of this study will be disseminated through publication in a peer-reviewed journal.PROSPERO registration numberCRD42020184388.

scholarly journals Impact of cardiovascular disease and risk factors on fatal outcomes in patients with COVID-19 according to age: a systematic review and meta-analysis

Heart ◽  
2020 ◽  
pp. heartjnl-2020-317901
Author(s):  
SungA Bae ◽  
So Ree Kim ◽  
Mi-Na Kim ◽  
Wan Joo Shim ◽  
Seong-Mi Park
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Relative Risk ◽  
Elderly Patients ◽  
Meta Analysis ◽  
Fatal Outcome ◽  
Young Patients ◽  
Lower Prevalence ◽  
Prevalence Rates ◽  
The Impact

ObjectivePrevious studies that evaluated cardiovascular risk factors considered age as a potential confounder. We aimed to investigate the impact of cardiovascular disease (CVD) and its risk factors on fatal outcomes according to age in patients with COVID-19.MethodsA systematic literature review and meta-analysis was performed on data collected from PubMed and Embase databases up to 11 June 2020. All observational studies (case series or cohort studies) that assessed in-hospital patients were included, except those involving the paediatric population. Prevalence rates of comorbid diseases and clinical outcomes were stratified by mean patient age in each study (ranges: <50 years, 50–60 years and ≥60 years). The primary outcome measure was a composite fatal outcome of severe COVID-19 or death.ResultsWe included 51 studies with a total of 48 317 patients with confirmed COVID-19 infection. Overall, the relative risk of developing severe COVID-19 or death was significantly higher in patients with risk factors for CVD (hypertension: OR 2.50, 95% CI 2.15 to 2.90; diabetes: 2.25, 95% CI 1.89 to 2.69) and CVD (3.11, 95% 2.55 to 3.79). Younger patients had a lower prevalence of hypertension, diabetes and CVD compared with older patients; however, the relative risk of fatal outcomes was higher among the former.ConclusionsThe results of the meta-analysis suggest that CVD and its risk factors (hypertension and diabetes) were closely related to fatal outcomes in COVID-19 for patients across all ages. Although young patients had lower prevalence rates of cardiovascular comorbidities than elderly patients, relative risk of fatal outcome in young patients with hypertension, diabetes and CVD was higher than in elderly patients.Prospero registration numberCRD42020198152.

scholarly journals All-cause mortality and location of death in patients with established cardiovascular disease before, during, and after the COVID-19 lockdown: a Danish Nationwide Cohort Study

2021 ◽  
Author(s):  
Jawad H Butt ◽  
Emil L Fosbøl ◽  
Thomas A Gerds ◽  
Charlotte Andersson ◽  
Kristian Kragholm ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Location Of Death ◽  
All Cause Mortality ◽  
History Of ◽  
Adjusted Incidence Rate ◽  
Artery Disease ◽  
Adjusted Incidence ◽  
Overall Mortality

Abstract Background On 13 March 2020, the Danish authorities imposed extensive nationwide lockdown measures to prevent the spread of the coronavirus disease 2019 (COVID-19) and reallocated limited healthcare resources. We investigated mortality rates, overall and according to location, in patients with established cardiovascular disease before, during, and after these lockdown measures. Methods and results Using Danish nationwide registries, we identified a dynamic cohort comprising all Danish citizens with cardiovascular disease (i.e. a history of ischaemic heart disease, ischaemic stroke, heart failure, atrial fibrillation, or peripheral artery disease) alive on 2 January 2019 and 2020. The cohort was followed from 2 January 2019/2020 until death or 16/15 October 2019/2020. The cohort comprised 340 392 and 347 136 patients with cardiovascular disease in 2019 and 2020, respectively. The overall, in-hospital, and out-of-hospital mortality rate in 2020 before lockdown was significantly lower compared with the same period in 2019 [adjusted incidence rate ratio (IRR) 0.91, 95% confidence interval (CI) CI 0.87–0.95; IRR 0.95, 95% CI 0.89–1.02; and IRR 0.87, 95% CI 0.83–0.93, respectively]. The overall mortality rate during and after lockdown was not significantly different compared with the same period in 2019 (IRR 0.99, 95% CI 0.97–1.02). However, the in-hospital mortality rate was lower and out-of-hospital mortality rate higher during and after lockdown compared with the same period in 2019 (in-hospital, IRR 0.92, 95% CI 0.88–0.96; out-of-hospital, IRR 1.04, 95% CI1.01–1.08). These trends were consistent irrespective of sex and age. Conclusions Among patients with established cardiovascular disease, the in-hospital mortality rate was lower and out-of-hospital mortality rate higher during lockdown compared with the same period in the preceding year, irrespective of age and sex.

scholarly journals Greater cardiorespiratory fitness reduces incidence of atrial fibrillation: a meta-analysis

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
C Verdicchio ◽  
A Elliott ◽  
R Mahajan ◽  
D Linz ◽  
D Lau ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Risk Factor ◽  
Cardiorespiratory Fitness ◽  
Meta Analysis ◽  
Exercise Stress ◽  
Inverse Association ◽  
Exercise Interventions ◽  
Increased Risk ◽  
Statistical Heterogeneity

Abstract Funding Acknowledgements Type of funding sources: None. Introduction  Atrial Fibrillation (AF) is the most common sustained cardiac arrhythmia affecting 1-2% of the global population, with the prevalence of AF increasing dramatically over the past two decades. Although low levels of cardiorespiratory fitness (CRF) and physical activity are predictive of cardiovascular disease onset and mortality, only recently has this emerged as a potential risk factor for AF. Purpose The aim of this meta-analysis was therefore to quantify the relationship between CRF, measured by a symptom limited exercise stress test, and incident AF. We hypothesised that there would be an inverse relationship between CRF and the incidence of AF. Methods The systematic literature review was conducted using PUBMED, MEDLINE and EMBASE databases, with seven studies meeting the inclusion criteria. A random-effects meta-analysis was then used to compare the multivariate risk estimates of the lowest CRF group from each cohort with the group of the highest CRF. Results Data from 206,925 individuals (55.8% males) was used for analysis with a mean age of 55 ± 2.5 years and a mean follow-up period of 10.3 ± 5 years. The total number of AF events across the studies was 19,913. The overall pooled risk of AF in the high-CRF group versus the low-CRF group showed a significant lower risk of incident AF in those with high-CRF (OR: 0.52, 95% CI, 0.44-0.605, p &lt; 0.001). There was evidence of statistical heterogeneity between the studies (I2 = 81%, p &lt; 0.001). AF incidence rates demonstrated an overall decline in rates across the CRF quartiles from low to high. The mean incidence rate for low-CRF was 21 ± 13.4 compared to 6.9 ± 0.7 per 1000 person-years for the high CRF group (p = 0.03). Conclusion There is an inverse association between a lower CRF and an increased risk of AF, with a higher level of CRF protective against AF. This study highlights that low-CRF may be an additional risk factor for AF along with already other established lifestyle-based risk factors such as obesity and hypertension. Exercise interventions should be promoted as a primary prevention strategy in those at risk of developing AF with known risk factors. Future studies are warranted to identify the mechanism(s) through which improved CRF confers a reduction in AF incidence. Abstract Figure. AF risk between high and low-CRF

scholarly journals Effects of a Paleolithic Diet on Cardiovascular Disease Risk Factors: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

2019 ◽  
Vol 10 (4) ◽  
pp. 634-646 ◽  
Author(s):  
Ehsan Ghaedi ◽  
Mohammad Mohammadi ◽  
Hamed Mohammadi ◽  
Nahid Ramezani-Jolfaie ◽  
Janmohamad Malekzadeh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Lipid Profile ◽  
Meta Analysis ◽  
Controlled Trials ◽  
Cvd Risk Factors ◽  
Paleolithic Diet ◽  
Cvd Risk ◽  
Randomized Controlled

ABSTRACTThere is some evidence supporting the beneficial effects of a Paleolithic diet (PD) on cardiovascular disease (CVD) risk factors. This diet advises consuming lean meat, fish, vegetables, fruits, and nuts and avoiding intake of grains, dairy products, processed foods, and added sugar and salt. This study was performed to assess the effects of a PD on CVD risk factors including anthropometric indexes, lipid profile, blood pressure, and inflammatory markers using data from randomized controlled trials. A comprehensive search was performed in the PubMed, Scopus, ISI Web of Science, and Google Scholar databases up to August 2018. A meta-analysis was performed using a random-effects model to estimate the pooled effect size. Meta-analysis of 8 eligible studies revealed that a PD significantly reduced body weight [weighted mean difference (WMD) = −1.68 kg; 95% CI: −2.86, −0.49 kg], waist circumference (WMD = −2.72 cm; 95% CI: −4.04, −1.40 cm), BMI (in kg/m2) (WMD = −1.54; 95% CI: −2.22, −0.87), body fat percentage (WMD = −1.31%; 95% CI: −2.06%, −0.57%), systolic (WMD = −4.75 mm Hg; 95% CI: −7.54, −1.96 mm Hg) and diastolic (WMD = −3.23 mm Hg; 95% CI: −4.77, −1.69 mm Hg) blood pressure, and circulating concentrations of total cholesterol (WMD = −0.23 mmol/L; 95% CI: −0.42, −0.04 mmol/L), triglycerides (WMD = −0.30 mmol/L; 95% CI: −0.55, −0.06 mmol/L), LDL cholesterol (WMD = −0.13 mmol/L; 95% CI: −0.26, −0.01 mmol/L), and C-reactive protein (CRP) (WMD = −0.48 mg/L; 95% CI: −0.79, −0.16 mg/L) and also significantly increased HDL cholesterol (WMD = 0.06 mmol/L; 95% CI: 0.01, 0.11 mmol/L). However, sensitivity analysis revealed that the overall effects of a PD on lipid profile, systolic blood pressure, and circulating CRP concentrations were sensitive to removing some studies and to the correlation coefficients, hence the results must be interpreted with caution. Although the present meta-analysis revealed that a PD has favorable effects on CVD risk factors, the evidence is not conclusive and more well-designed trials are still needed.

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