Assessing the relationship between chronic pain and cardiovascular disease: A systematic review and meta-analysis

2016 ◽  
Vol 13 (1) ◽  
pp. 76-90 ◽  
Author(s):  
Alan Fayaz ◽  
Salma Ayis ◽  
Sukhmeet S. Panesar ◽  
Richard M. Langford ◽  
Liam J. Donaldson
Keyword(s):  
Cardiovascular Disease ◽  
Chronic Pain ◽  
Confidence Intervals ◽  
Dose Response ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Cardiovascular Outcomes ◽  
Pool Data ◽  
Confounding Variables ◽  
The Relationship

AbstractBackground and AimsChronic pain is a potentially disabling condition affecting one in three people through impaired physical function and quality of life. While the psychosocial impact of chronic pain is already well established, little is known about the potential biological consequences. Chronic pain may be associated with an increased prevalence of cardiovascular disease, an effect that has been demonstrated across a spectrum of chronic pain conditions including low back pain, pelvic pain, neuropathic pain and fibromyalgia. The aim of this study was to review and summarize the evidence for a link between chronic pain and cardiovascular disease. We sought to clarify the nature of the relationship by examining the basis for a dose-response gradient (whereby increasing pain severity would result in greater cardiovascular disease), and by evaluating the extent to which potentially confounding variables may contribute to this association.MethodsMajor electronic databases MEDLINE, EMBASE, Psychinfo, Cochrane, ProQuest and Web of Science were searched for articles reporting strengths of association between chronic pain (pain in one or more body regions, present for three months or longer) and cardiovascular outcomes (cardiovascular mortality, cardiac disease, and cerebrovascular disease). Meta-analysis was used to pool data analysing the association between chronic pain and the three principal cardiovascular outcomes. The impact of pain severity, and the role of potentially confounding variables were explored narratively.ResultsThe searches generated 11,141 studies, of which 25 matched our inclusion criteria and were included in the review. Meta-analysis (of unadjusted study outcomes) demonstrated statistically significant associations between chronic pain and mortality from cardiovascular diseases: pooled odds ratio 1.20, (95% confidence intervals 1.05–1.36); chronic pain and cardiac disease: pooled odds ratio 1.73 (95% confidence intervals 1.42–2.04); and chronic pain and cerebrovascular disease: pooled odds ratio 1.81 (95% confidence intervals 1.51–2.10). The systematic review also found evidence supporting a dose-response relationship, with greater pain intensity and distribution producing a stronger association with cardiovascular outcomes.All of the included studies were based on observational data with considerable variation in chronic pain taxonomy, methodology and study populations. The studies took an inconsistent and incomplete approach in their adjustment for potentially confounding variables, making it impossible to pool data after adjustments for confounding variables, so it cannot be concluded that these associations are causal.ConclusionsOur review supports a possible dose-response type of association between chronic pain and cardiovascular disease, supported by a range of observational studies originating from different countries. Such research has so far failed to satisfactorily rule out that the association is due to confounding variables. What is now needed are further population based longitudinal studies that are designed to allow more robust exploration of a cause and effect relationship.ImplicationsGiven the high prevalence of chronic pain in developed and developing countries our results highlight a significant, but underpublicized, public health concern. Greater acknowledgement of the potentially harmful biological consequences of chronic pain may help to support regional, national and global initiatives aimed at reducing the burden of chronic pain.

scholarly journals Associations between statins and adverse events in primary prevention of cardiovascular disease: systematic review with pairwise, network, and dose-response meta-analyses

BMJ ◽  
2021 ◽  
pp. n1537
Author(s):  
Ting Cai ◽  
Lucy Abel ◽  
Oliver Langford ◽  
Genevieve Monaghan ◽  
Jeffrey K Aronson ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cardiovascular Disease ◽  
Primary Prevention ◽  
Adverse Events ◽  
Dose Response ◽  
Odds Ratio ◽  
Absolute Risk ◽  
Meta Analysis ◽  
Risk Difference ◽  
Prevention Of Cardiovascular Disease

Abstract Objective To assess the associations between statins and adverse events in primary prevention of cardiovascular disease and to examine how the associations vary by type and dosage of statins. Design Systematic review and meta-analysis. Data sources Studies were identified from previous systematic reviews and searched in Medline, Embase, and the Cochrane Central Register of Controlled Trials, up to August 2020. Review methods Randomised controlled trials in adults without a history of cardiovascular disease that compared statins with non-statin controls or compared different types or dosages of statins were included. Main outcome measures Primary outcomes were common adverse events: self-reported muscle symptoms, clinically confirmed muscle disorders, liver dysfunction, renal insufficiency, diabetes, and eye conditions. Secondary outcomes included myocardial infarction, stroke, and death from cardiovascular disease as measures of efficacy. Data synthesis A pairwise meta-analysis was conducted to calculate odds ratios and 95% confidence intervals for each outcome between statins and non-statin controls, and the absolute risk difference in the number of events per 10 000 patients treated for a year was estimated. A network meta-analysis was performed to compare the adverse effects of different types of statins. An E max model based meta-analysis was used to examine the dose-response relationships of the adverse effects of each statin. Results 62 trials were included, with 120 456 participants followed up for an average of 3.9 years. Statins were associated with an increased risk of self-reported muscle symptoms (21 trials, odds ratio 1.06 (95% confidence interval 1.01 to 1.13); absolute risk difference 15 (95% confidence interval 1 to 29)), liver dysfunction (21 trials, odds ratio 1.33 (1.12 to 1.58); absolute risk difference 8 (3 to 14)), renal insufficiency (eight trials, odds ratio 1.14 (1.01 to 1.28); absolute risk difference 12 (1 to 24)), and eye conditions (six trials, odds ratio 1.23 (1.04 to 1.47); absolute risk difference 14 (2 to 29)) but were not associated with clinically confirmed muscle disorders or diabetes. The increased risks did not outweigh the reduction in the risk of major cardiovascular events. Atorvastatin, lovastatin, and rosuvastatin were individually associated with some adverse events, but few significant differences were found between types of statins. An E max dose-response relationship was identified for the effect of atorvastatin on liver dysfunction, but the dose-response relationships for the other statins and adverse effects were inconclusive. Conclusions For primary prevention of cardiovascular disease, the risk of adverse events attributable to statins was low and did not outweigh their efficacy in preventing cardiovascular disease, suggesting that the benefit-to-harm balance of statins is generally favourable. Evidence to support tailoring the type or dosage of statins to account for safety concerns before starting treatment was limited. Systematic review registration PROSPERO CRD42020169955.

scholarly journals Association of bisphenol A with puberty timing: a meta-analysis

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Hui Meng ◽  
Yunping Zhou ◽  
Yunxia Jiang
Keyword(s):  
Bisphenol A ◽  
Confidence Intervals ◽  
Random Effects ◽  
Strong Correlation ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Random Effects Models ◽  
Study Heterogeneity ◽  
The Relationship ◽  
Prevalence Ratios

AbstractObjectivesThe results of existing studies on bisphenol A (BPA) and puberty timing did not reach a consensus. Thereby we performed this meta-analytic study to explore the association between BPA exposure in urine and puberty timing.MethodsMeta-analysis of the pooled odds ratios (OR), prevalence ratios (PR) or hazards ratios (HR) with 95% confidence intervals (CI) were calculated and estimated using fixed-effects or random-effects models based on between-study heterogeneity.ResultsA total of 10 studies involving 5621 subjects were finally included. The meta-analysis showed that BPA exposure was weakly associated with thelarche (PR: 0.96, 95% CI: 0.93–0.99), while no association was found between BPA exposure and menarche (HR: 0.99, 95% CI: 0.89–1.12; OR: 1.02, 95% CI: 0.73–1.43), and pubarche (OR: 1.00, 95% CI: 0.79–1.26; PR: 1.00, 95% CI: 0.95–1.05).ConclusionsThere was no strong correlation between BPA exposure and puberty timing. Further studies with large sample sizes are needed to verify the relationship between BPA and puberty timing.

scholarly journals Osteoarthritis, mobility-related comorbidities and mortality: an overview of meta-analyses

2020 ◽  
Vol 12 ◽  
pp. 1759720X2098121
Author(s):  
Gustavo Constantino de Campos ◽  
Raman Mundi ◽  
Craig Whittington ◽  
Marie-Josée Toutounji ◽  
Wilson Ngai ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Inclusion Criteria ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Ischemic Attack ◽  
Meta Analyses ◽  
The Relationship ◽  
Related Mortality

Aims: The objective of this review was to examine the relationship between osteoarthritis (OA) and mobility-related comorbidities, specifically diabetes mellitus (DM) and cardiovascular disease (CVD). It also investigated the relationship between OA and mortality. Methods: An overview of meta-analyses was conducted by performing two targeted searches from inception to June 2020. The association between OA and (i) DM or CVD ( via PubMed and Embase); and (ii) mortality ( via PubMed) was investigated. Meta-analyses were selected if they included studies that examined adults with OA at any site and reported associations between OA and DM, CVD, or mortality. Evidence was synthesized qualitatively. Results: Six meta-analyses met inclusion criteria. One meta-analysis of 20 studies demonstrated a statistically significant association between OA and DM, with pooled odds ratio of 1.41 (95% confidence interval: 1.21, 1.65; n = 1,040,175 patients). One meta-analysis of 15 studies demonstrated significantly increased risk of CVD among OA patients, with a pooled risk ratio of 1.24 (1.12, 1.37, n = 358,944 patients). Stratified by type of CVD, OA was shown to be associated with increased heart failure (HF) and ischemic heart disease (IHD) and reduced transient ischemic attack (TIA). There was no association reported for stroke or myocardial infarction (MI). Three meta-analyses did not find a significant association between OA (any site) and all-cause mortality. However, OA was found to be significantly associated with cardiovascular-related death across two meta-analyses. Conclusion: The identified meta-analyses reported significantly increased risk of both DM and CVD (particularly, HF and IHD) among OA patients. It was not possible to confirm consistent directional or causal relationships. OA was found to be associated with increased mortality, but mostly in relation to CVD-related mortality, suggesting that further study is warranted in this area.

The relationship between migraine and infant colic: A systematic review and meta-analysis

Cephalalgia ◽  
2014 ◽  
Vol 35 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Amy A Gelfand ◽  
Peter J Goadsby ◽  
I Elaine Allen
Keyword(s):  
Systematic Review ◽  
Random Effects ◽  
Odds Ratio ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Random Effects Model ◽  
Fixed Effects Model ◽  
Primary Analysis ◽  
Infant Colic ◽  
The Relationship

Context Infant colic is a common and distressing disorder of early infancy. Its etiology is unknown, making treatment challenging. Several articles have suggested a link to migraine. Objective The objective of this article was to perform a systematic review and, if appropriate, a meta-analysis of the studies on the relationship between infant colic and migraine. Data sources Studies were identified by searching PubMed and ScienceDirect and by hand-searching references and conference proceedings. Study selection For the primary analysis, studies specifically designed to measure the association between colic and migraine were included. For the secondary analysis, studies that collected data on colic and migraine but were designed for another primary research question were also included. Data extraction Data were abstracted from the original studies, through communication with study authors, or both. Two authors independently abstracted data. Main outcomes and measures The main outcome measure was the association between infant colic and migraine using both a fixed-effects model and a more conservative random-effects model. Results Three studies were included in the primary analysis; the odds ratio for the association between migraine and infant colic was 6.5 (4.6–8.9, p < 0.001) for the fixed-effects model and 5.6 (3.3–9.5, p = 0.004) for the random-effects model. In a sensitivity analysis wherein the study with the largest effect size was removed, the odds ratio was 3.6 (95% CI 1.7–7.6, p = 0.001) for both the fixed-effects model and random-effects model. Conclusions In this meta-analysis, infant colic was associated with increased odds of migraine. If infant colic is a migrainous disorder, this would have important implications for treatment. The main limitation of this meta-analysis was the relatively small number of studies included.

scholarly journals Meta-Analysis of the Relationship Between Ethnicity, Obesity, and Type 2 Diabetes of Adults in Urban Populations of Central America

2016 ◽  
Vol 5 (3) ◽  
pp. 274
Author(s):  
William G Wuenstel ◽  
James A. Johnson ◽  
James Humphries ◽  
Cheryl Samuel
Keyword(s):  
Type 2 Diabetes ◽  
Relative Risk ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Central American ◽  
Significance Level ◽  
Study Participants ◽  
The Impact ◽  
The Relationship

<table width="593" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td rowspan="2" valign="top" width="387">The purpose of this meta-analysis was to examine the impact of ethnicity and obesity as it relates to Type-2 Diabetes (T2D) in specific Central American countries. A meta-analysis was conducted to determine the association of ethnicity, obesity, and T2D.  Four studies that qualified for inclusion were identified by searching MEDLINE and PubMed databases. The studies on the association of ethnicity and T2D had a combined population resulted in 265,858 study participants. Two studies on the association of obesity and T2D had 197,899 participants. An analysis of the data was conducted utilizing the relative risk ration, odds ratio, and forest plots. The comparison of the relative risk of T2D across ethnic categories by studies range for Blacks was 1.59 to 2.74, Asians was 1.43 to 2.08, and Hispanics .92 to 2.91.  The ethnic difference in the prevalence of diabetes was almost two-fold higher in all ethnic groups than among the Caucasians with a significance level of 95%. A comparison of relative risk of T2D across weight categories was significantly higher among those with a diagnosed of diabetes in all reported areas. The odds ratio was very close to the risk ratio in both ethnicity and obesity to the development of T2D. The meta-analysis findings documented that an association does exist between ethnicity and obesity to the development of type 2 diabetes.</td><td width="0" height="85"> </td></tr><tr><td width="0" height="82"> </td></tr></tbody></table>

scholarly journals Profile and frequency of antiparkinsonian drugs adverse reactions: a systematic review and meta-analysis

2021 ◽  
Vol 13 (3) ◽  
pp. 75-81
Author(s):  
A. A. Tappakhov ◽  
T. E. Popova ◽  
A. I. Vasilev ◽  
T. G. Govorova ◽  
Yu. I. Khabarova ◽  
...  
Keyword(s):  
Systematic Review ◽  
Odds Ratio ◽  
Adverse Reactions ◽  
Meta Analysis ◽  
Controlled Trials ◽  
Drug Reactions ◽  
Randomized Controlled ◽  
The Relationship ◽  
Ci Calculation ◽  
Antiparkinsonian Drugs

Objective: to assess the predictors and prevalence of adverse drug reactions (ADRs) associated with antiparkinsonian drugs.Materials and methods. 18 clinical studies and randomized controlled trials were included in the analysis. We combined all registered ADRs for each drug and made direct comparisons with odds ratio (OR) and 95% confidence interval (95% CI) calculation.Results and discussion. Levodopa/benserazide (LB) had the best safety profile among levodopa drugs. Levodopa/carbidopa (LC) compared with LB was associated with more frequent development of nausea (OR=2.8; 95% CI: 1.51–5.21), aggravation of parkinsonism (OR=4.44; 95% CI: 2.12–9.28) and dizziness (OR=3.32; 95% CI: 1.5–7.33; p=0.002). Piribedil had the lowest number of ADRs among dopamine receptor agonists. Dizziness was more common with pramipexole and ropinirole than with levodopa (OR=1.82; 95% CI: 1.21–2.74 and OR=1.65; 95% CI: 1.11–2.44 respectively). Increased daytime sleepiness and peripheral edema have also been associated with pramipexole. Arterial hypertension was present in 9.6% of patients prescribed with piribedil. Amantadine compared with pramipexole was associated with a higher risk of hallucinations (OR=2.27; 95% CI: 1.24–4.12) and constipation (OR=2.40; 95% CI: 1.14–5.05). Patients prescribed with selegeline had higher odds of dizziness (OR=3.40; 95% CI: 1.76–6.55) and hallucinations (OR=4.30; 95% CI: 1.83–10.09) compared to rasagiline.Conclusion. Based on the results, we propose a diagram of the relationship between ADRs and their frequency with antiparkinsonian drugs. We hope that the study will find clinical application and allow neurologists to consider the effectiveness and the expected risks of ADRs in the treatment of PD.

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