Association between pioglitazone (PZD) therapy and bladder cancer (BC): A meta-analysis of epidemiologic evidence.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 4546-4546
Author(s):  
Alexei Shimanovsky ◽  
Juliet Appiah ◽  
Basile M. Njei ◽  
Jessica Mary Clement
Keyword(s):  
Insulin Resistance ◽  
Treatment Duration ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Cochrane Library ◽  
Preliminary Review ◽  
Case Control Studies ◽  
Epidemiologic Evidence

4546 Background: There is evidence suggesting that PZD use may be a risk factor for BC, yet these reports are controversial. The aim of this meta-analysis is to review available data and evaluate the association between PZD and BC. Methods: Two independent reviewers conducted a systematic search of the Cochrane Library, OvidSP and PubMed for articles published January 1970 to April 2012. MeSH search terms included PZD, Actos, thiazolidinediones, diabetes mellitus (DM), and BC. Only studies reporting an effect measure for the association between PZD and BC were included. Subgroup analyses by study design and country were performed. Analysis was done using a random effect model after a preliminary review showed evidence of study heterogeneity. This was then assessed using the Cochrane’s Q and I2 statistics. Publication bias was evaluated using the Begg’s and Egger’s tests, and funnel plots. All analyses were performed using REVMAN 5.1. Results: A total of 6 studies (3 cohort and 3 case control) met the inclusion criteria. The overall pooled risk ratio (RR) for the association between PZD and BC was 1.12 (95% CI 1.09, 1.15; P <0.001). The summary RR for cohort and case control studies were 1.13(95% CI 1.07, 1.19; P <0.001) and 1.11(95% CI 1.07, 1.15; P <0.001), respectively. The subgroup analysis showed a significant association with BC in the USA and Europe, but not in Asia (RR 0.98, 95% CI 0.71, 1.34; P = 0.88). The association of PZD and BC was more sensitive for treatment duration (>12 month). Conclusions: Our study analyzed 1,214,071 patients, demonstrating a weak association between PZD and BC. The results were significant with increase in treatment duration, which corresponds to previous studies. This meta-analysis has limitations. Not all studies reported known variables associated with BC, such as smoking or occupational exposure. They did not address patient BMI, time from DM diagnosis or previous drug therapy. These parameters reflect severity of disease and level of insulin-resistance. Future studies should evaluate markers of insulin-resistance with PZD use and correlate with BC. Understanding the link between PZD and BC in the context of DM may allow physicians to determine a more accurate risk of PZD use.

scholarly journals Effects of β-carotene intake on the risk of fracture: A Bayesian meta-analysis

2020 ◽  
Author(s):  
Tesfaye Getachew Charkos ◽  
Yawen Liu ◽  
Kemal Sherefa Oumer ◽  
Ann M Vuong ◽  
Shuman Yang
Keyword(s):  
Hip Fracture ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Risk Of Fracture ◽  
Β Carotene

Abstract Introduction The association between β-carotene intake and risk of fracture has been reported inconsistently. We conducted a meta-analysis to investigate the association between β-carotene intake and risk of fracture using a Bayesian approach. Methods We systematically searched PubMed, EMBASE and Cochrane library database for relevant articles until December 2019. We also performed a hand search based on reference lists from published articles. The Bayesian random effect model was used to synthesize data from individual studies. Results Nine studies with a total of 190,545 men and women were included in this meta-analysis. The participants' average age was 59.8 years old. For β-carotene intake, the pooled RR of any fracture was 0.67 (95% Credible Interval (CrI): 0.51-0.82; heterogeneity: P = 0.66, I 2 =0.00%) and 0.63 (95%CrI: 0.44-0. 82) for hip fracture. By study design, the pooled RRs were 0.55 (95% CrI: 0.14-0.96) for case-control studies and 0.82 (95% CrI: 0.58-0.99) for cohort studies. By geographic region, the pooled RRs were 0.58 (95% CrI: 0.28-0.89) for studies conducted in China, 0.86 (95% CrI: 0.35-0.1.37) in America and 0.91(95% CrI: 0.75-1.00) Europe. By gender: the pooled RRs were 0.88 (95% CrI: 0.73-0.99) for males and 0.76 (95% CrI: 0.44-1.07) for females. The probability that β-carotene intakes reduce the risk of any fracture and hip fracture by more than 20% was 95%. Conclusion The present meta-analysis suggests that β-carotene intake was inversely associated with fracture risk, consistently observed for case-control and cohort studies. Further randomized control trial is warranted to confirm this finding.

scholarly journals Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

2020 ◽  
Author(s):  
Hai-bo Gong ◽  
Shu-tao Gao ◽  
Xiong-Ming Pu ◽  
Xiao-jing Kang ◽  
Xiu-juan Wu
Keyword(s):  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Original Data ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Effect Model

Abstract Background: To date, The pathological mechanisms underlying the occurrence and development of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. This study aimed to investigate the association between TNFAIP3 and TNIP1 gene polymorphisms with psoriasis susceptibility. Methods: Comprehensive literature search was undertook across four online databases—PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI) up to August 25, 2019. Allele model of inheritance was used to analyze the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. Pooled odds ratios and 95% confidence intervals were calculated using the RevMan 5.3 software. Results: In all, 13 case-control studies comprising 13,908 psoriasis patients and 20,051 controls were identified and included in this meta-analysis. The results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random effect model (G vs. T, OR = 1.19, 95 % CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001). Conclusions: This meta-analysis indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

scholarly journals Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

2019 ◽  
Author(s):  
Hai-bo Gong ◽  
Shu-tao Gao ◽  
Xiong-ming Pu ◽  
Xiao-jing Kang ◽  
Xiu-juan Wu
Keyword(s):  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Original Data ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Effect Model

Abstract Background: To date, The pathological mechanisms underlying the occurrence and development of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. This study aimed to investigate the association between TNFAIP3 and TNIP1 gene polymorphisms with psoriasis susceptibility.Methods Comprehensive literature search was undertook across four online databases—PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI) up to August 25, 2019. Allele model of inheritance was used to analyze the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. Pooled odds ratios and 95% confidence intervals were calculated using the RevMan 5.3 software.Results In all, 13 case-control studies comprising 13,908 psoriasis patients and 20,051 controls were identified and included in this meta-analysis. The results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random effect model (G vs. T, OR = 1.19, 95% CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001).Conclusions This meta-analysis indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

scholarly journals Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

2020 ◽  
Author(s):  
Hai-bo Gong ◽  
Shu-tao Gao ◽  
Xiong-ming Pu ◽  
Xiao-jing Kang ◽  
Xiu-juan Wu
Keyword(s):  
Gene Polymorphisms ◽  
Genetic Model ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Effect Model

Abstract Background: To date, the fundamental pathophysiology underlying the occurrence and progression of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. Here, we intended to conduct a survey on the association between TNFAIP3 and TNIP1 gene polymorphisms and psoriasis risk.Methods: A comprehensive search of four online databases—China National Knowledge Infrastructure (CNKI), PubMed, Embase, and Cochrane Library was undertaken up to August 25, 2019. We chose allele genetic model to deal with the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. The RevMan 5.3 software was used to calculate the combined odds ratio and 95% confidence interval.Results: In total, we included 13 case-control studies consist of 13,908 psoriasis patients and 20,051 controls in this work. Our results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random-effect model (G vs. T, OR = 1.19, 95 % CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed-effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001).Conclusions: Our findings indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

scholarly journals ASSOCIATION OF IL-8 -251T>A (RS4073) POLYMORPHISM WITH SUSCEPTIBILITY TO GASTRIC CANCER: A SYSTEMATIC REVIEW AND META-ANALYSIS BASED ON 33 CASE-CONTROL STUDIES

2020 ◽  
Vol 57 (1) ◽  
pp. 91-99
Author(s):  
Mansour MOGHIMI ◽  
Seyed Alireza DASTGHEIB ◽  
Naeimeh HEIRANIZADEH ◽  
Mohammad ZARE ◽  
Elnaz SHEIKHPOUR ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Case Control Studies ◽  
Effect Model ◽  
Increased Risk ◽  
Mixed Populations ◽  
Stratified Analysis

ABSTRACT BACKGROUND: The role of -251A>T polymorphism in the anti-inflammatory cytokine interleukin-8 (IL-8) gene in gastric cancer was intensively evaluated, but the results of these studies were inconsistent. OBJECTIVE: Therefore, we performed a meta-analysis to provide a comprehensive data on the association of IL-8 -251T>A polymorphism with gastric cancer. METHODS: All eligible studies were identified in PubMed, Web of Science, EMBASE, Wanfang and CNKI databases before September 01, 2019. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were derived from a fixed effect or random effect model. RESULTS: A total of 33 case-control studies with 6,192 cases and 9,567 controls were selected. Overall, pooled data showed that IL-8 -251T>A polymorphism was significantly associated with an increased risk of gastric cancer under all five genetic models, i.e., allele (A vs T: OR=1.189, 95% CI 1.027-1.378, P=0.021), homozygote (AA vs TT: OR=1.307, 95% CI 1.111-1.536, P=0.001), heterozygote (AT vs TT: OR=1.188, 95% CI 1.061-1.330, P=0.003), dominant (AA+AT vs TT: OR=1.337, 95% CI 1.115-1.602, P=0.002) and recessive (AA vs AT+TT: OR=1.241, 95% CI 1.045-1.474, P=0.014). The stratified analysis by ethnicity revealed an increased risk of gastric cancer in Asians and mixed populations, but not in Caucasians. Moreover, stratified by country found a significant association in Chinese, Korean and Brazilian, but not among Japanese. CONCLUSION: This meta-analysis suggests that the IL-8 -251T>A polymorphism is associated with an increased risk of gastric cancer, especially by ethnicity (Asian and mixed populations) and country (Chinese, Korean and Brazilian).

scholarly journals The Associations between VEGF Gene Polymorphisms and Diabetic Retinopathy Susceptibility: A Meta-Analysis of 11 Case-Control Studies

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Liyuan Han ◽  
Lina Zhang ◽  
Wenhua Xing ◽  
Renjie Zhuo ◽  
XiaLu Lin ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Recessive Model ◽  
Cochrane Library ◽  
Published Data ◽  
Case Control Studies ◽  
Asian Populations ◽  
Effect Model

Aims. Published data on the associations of VEGF polymorphisms with diabetic retinopathy (DR) susceptibility are inconclusive. A systematic meta-analysis was undertaken to clarify this topic.Methods. Data were collected from the following electronic databases: PubMed, Embase, OVID, Web of Science, Elsevier Science Direct, Excerpta Medica Database (EMBASE), and Cochrane Library with the last report up to January 10, 2014. ORs and 95% CIs were calculated for VEGF–2578C/A (rs699947), –1154G/A (rs1570360), –460T/C (rs833061), −634G>C (rs2010963), and +936C/T (rs3025039) in at least two published studies. Meta-analysis was performed in a fixed/random effect model by using the software STATA 12.0.Results. A total of 11 studies fulfilling the inclusion criteria were included in this meta-analysis. A significant relationship between VEGF+936C/T (rs3025039) polymorphism and DR was found in a recessive model (OR = 3.19, 95% CI = 1.20–8.41, andP(z)=0.01) in Asian and overall populations, while a significant association was also found between –460T/C (rs833061) polymorphism and DR risk under a recessive model (OR = 2.12, 95% CI = 1.12–4.01, andP(z)=0.02).Conclusions. Our meta-analysis demonstrates that +936C/T (rs3025039) is likely to be associated with susceptibility to DR in Asian populations, and the recessive model of –460T/C (rs833061) is associated with elevated DR susceptibility.

scholarly journals Association between serum copper levels and cervical cancer risk: a meta-analysis

2018 ◽  
Vol 38 (4) ◽  
Author(s):  
Min Zhang ◽  
Min Shi ◽  
Yan Zhao
Keyword(s):  
Cervical Cancer ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Serum Copper ◽  
Significant Heterogeneity ◽  
Case Control Studies ◽  
Cervical Cancer Risk

Whether serum copper levels were higher in patients with cervical cancer than that in controls was controversial. Hence, we conducted the present study to explore the relationship between serum copper levels and cervical cancer. We searched PubMed, WanFang, and China National Knowledge Internet (CNKI) for relevant studies before November 30, 2017. Standardized mean difference (SMD) and 95% confidence interval (CI) were used to combine results across studies using the random-effect model. A total of 14 publications involving 747 patients with cervical cancer and 1014 controls were eligible through inclusion criteria. In comparison with controls, serum copper levels were significantly higher in patients with cervical cancer [summary SMD = 1.35; 95%CI: 0.10–2.59], with significant heterogeneity (I2 = 98.8%; P<0.001) was found. Significant association was also found among Asian populations [summary SMD = 1.39; 95%CI: 0.06–2.71]. The association was positive in subgroup analysis of population-based case–control studies (PBCC) [summary SMD = 1.64; 95%CI: 0.02–3.34], but not in hospital-based case–control studies (HBCC). Through a sensitivity analysis, we did not identify any single study to strongly influence the results of our serum copper levels and cervical cancer risk. No publication bias was found in our analysis. In conclusion, our study provided significant evidence of higher serum copper levels in patients with cervical cancer than in controls, suggesting that serum copper exposure was a risk factor on cervical cancer.

scholarly journals DHEA and polycystic ovarian syndrome: Meta-analysis of case-control studies

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261552
Author(s):  
Jiby Jolly Benjamin ◽  
MaheshKumar K. ◽  
Teena Koshy ◽  
Maruthy K. N. ◽  
Padmavathi R.
Keyword(s):  
Polycystic Ovarian Syndrome ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Healthy Controls ◽  
Polycystic Ovaries ◽  
Case Control Studies ◽  
Mesh Terms ◽  
Ovarian Syndrome

Background Polycystic ovarian syndrome is a heterogenous endocrine disorder characterized by irregular menstrual cycles, hirsuitism and polycystic ovaries. It is further complicated by metabolic syndrome, infertility and psychological stress. Although the etiopathogenesis is unclear, many studies have pointed out the role of stress in this syndrome. DHEA, being a stress marker is being used by scientists to compare the stress levels between polycystic ovarian cases and healthy controls. However, the results obtained from previous studies are equivocal. Objective To perform meta-analysis and find the association between stress and the syndrome. Data sources Relevant data till January 2021 were retrieved from PubMed, Scopus, Embase and Web of Science using MeSH terms. Study selection Case-control studies having PCOS subjects as cases and healthy women as controls were selected provided; their basal DHEA levels were mentioned in the published articles. Data extraction Two authors independently extracted the articles and qualified the final studies. Data synthesi Pooled meta-analysis was done using random effect model and showed level of DHEA statistically significant in PCOS compared to healthy controls (SMD = 1.15, 95% CI = 0.59–1.71).Heterogeneity was statistically significant as well (I2 = 95%). Conclusion Thismeta-analysis on DHEA and PCOS has helped in generating evidence regarding the involvement of stress in the pathogenesis of PCOS.

Proton pump inhibitor (PPI) exposure and risk of pancreatic cancer (PC): Meta-analysis.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15755-e15755
Author(s):  
Nasser Mubarak Al Khushaym ◽  
Abdulaali Almutairi ◽  
Saad Fallatah ◽  
Abdulhamid Althagafi ◽  
Mok Oh ◽  
...  
Keyword(s):  
Observational Studies ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cochrane Library ◽  
Diabetic Patients ◽  
Case Control Studies ◽  
Primary Analysis ◽  
Risk Estimates ◽  
Secondary Analyses

e15755 Background: PPIs are widely used in the treatment of various acid related disorders. Observational studies have raised concern about an association of PPI use and PC but findings have been inconsistent. This meta-analysis aimed to estimate from published studies the pooled PC risk among subjects exposed and not exposed to PPIs. Methods: We searched PubMed, EMBASE, Scopus, Cochrane Library and clinicaltrials.gov to identify relevant studies on the association of PPI exposure and PC risk. Three reviewers independently screened search results for eligibility and extracted data from retained studies. Our primary analysis quantified PC risk among subjects exposed vs not exposed to PPI, expressed as the pooled (adjusted) odds ratio (OR/aOR) and 95% confidence interval (95%CI) as estimated in a random effect model. We performed similar secondary analyses in selected subgroups. Results: Of the 2683 reports yielded by the search 1 randomized trial, 2 cohort, and 9 case-control studies with 1,093,766 subjects (123,214 cases; 970,552 controls) were retained. Our main analysis (exposed vs non exposed) revealed a significant overall association between PPI exposure and PC risk (OR 1.77, 95%CI 1.14-2.74). Secondary analyses showed higher risk estimates from high quality (NOS > 7) studies (OR 2.04, 95%CI 1.03-4.02), observational studies (aOR, 1.70 95%CI 1.08-2.68), and studies with PPI use and PC risk as main outcome (aOR 2.01, 95%CI 1.06-3.83). Subgroup analyses by comorbidities showed an association with diabetes (aOR 1.98, 95%CI 1.02-3.82) but not pancreatitis (aOR 1.77, 95%CI 0.93-3.35). PC risk was not associated with duration of PPI use longer 1 (aOR 1.36 95%CI 0.81-2.28 and > 3 yrs (aOR 1.21 95%CI 0.73-2.02). In addition to the overall PPI class effect in the primary analysis, rabeprazole was singularly associated with PC risk (aOR 5.40 95%CI 1.98-14.70). Conclusions: Pooled risk estimates suggest that the class of PPIs is associated with a general 1.77 fold increase in PC risk, independent of duration of PPI exposure. Diabetic patients are at a significant incremental risk over the base risk.

Association between Vitamin C Intake and Glioma Risk: Evidence from a Meta-Analysis

2015 ◽  
Vol 44 (1) ◽  
pp. 39-44 ◽  
Author(s):  
Siru Zhou ◽  
Xiaoya Wang ◽  
Ya Tan ◽  
Lingli Qiu ◽  
Huan Fang ◽  
...  
Keyword(s):  
Vitamin C ◽  
Publication Bias ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Case Control Studies ◽  
Relative Risks ◽  
Effect Model ◽  
Glioma Risk

Background: The field of quantifying the association between the intake of vitamin C and risk of glioma still has conflicts. Thus, we performed a comprehensive meta-analysis to test the hypothesis that a high intake of vitamin C may be a protective effect on glioma risk. Methods: Pertinent studies were identified by a search in PubMed and Web of Knowledge up to June 2014. The random-effect model was used to combine study-specific results. Publication bias was estimated using Begg' funnel plot and Egger's regression asymmetry test. Results: Thirteen articles with 15 studies (2 cohort study and 13 case-control studies) involving 3,409 glioma cases about vitamin C intake and glioma risk were used in this meta-analysis. The combined relative risks (RRs) of glioma associated with vitamin C intake was 0.86 (95% CIs = 0.75-0.99). Overall, significant protective associations were also found in the American population (RRs = 0.85, 95% CIs = 0.73-0.98) and case-control studies (RRs = 0.80, 95% CIs = 0.69-0.93). No publication bias was found. Conclusions: Our analysis indicated that vitamin C intake might decrease the risk of glioma, especially among the Americans.

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