The association between interleukin 6 −174 G/C gene polymorphism and the risk of osteoporosis: A meta-analysis

Fajar, Jonny Karunia; Azharuddin, Azharuddin

doi:10.1016/j.jtumed.2016.07.010

Cited by 17 publications

(14 citation statements)

References 45 publications

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“…In effort to reach this goal, we collected several studies from PubMed and Embase concerning this association to calculate a poolled odd ratio (OR) and 95% confidence interval (CI) using fixed or random effect model. This design of the study was adapted from our previous meta-analysis 51, 52, 53, 54, 55…”

Section: Methodsmentioning

confidence: 99%

The predictors of no reflow phenomenon after percutaneous coronary intervention in patients with ST elevation myocardial infarction: A meta-analysis

Fajar

Heriansyah

Rohman

2018

Indian Heart Journal

103

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ObjectiveTo investigate the no reflow risk factors after percutaneous coronary intervention in ST elevation myocardial infarction patients.MethodSample size, mean ± standard deviation (SD) or frequencies (percent) of normal and no reflow groups were extracted from each study.ResultsOf 27 retrospective and prospective studies, we found that increasing risks of no reflow were associated with advanced age, male, family history of coronary artery disease, smoking, diabetes mellitus, hypertension, delayed reperfusion, killip class ≥2, elevated blood glucose, increased creatinine, elevated creatine kinase (CK), higher heart rate, decreased left ventricular ejection fraction (LVEF), collateral flow ≤1, longer lesion length, multivessel disease, reference luminal diameter, initial thrombolysis in myocardial infarction (TIMI) flow, and high thrombus burden. Moreover, initial TIMI flow ≤1 and high thrombus burden had the greater impact on no reflow (OR95%CI = 3.83 [2.77–5.29], p < 0.0001 and 3.69 [2.39–5.68], p < 0.0001, respectively).ConclusionOur meta-analysis reveals that initial TIMI flow ≤1 and high thrombus burden are the most impacted no reflow risk factors.

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Section: Methodsmentioning

confidence: 99%

The predictors of no reflow phenomenon after percutaneous coronary intervention in patients with ST elevation myocardial infarction: A meta-analysis

Fajar

Heriansyah

Rohman

2018

Indian Heart Journal

103

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“…To reach this goal, several studies regarding the association between hip geometry and femoral neck fractures were collected for calculating combined odds ratios and 95% confidence intervals (ORs 95% CI) and assessed using fixed or random effect model. The design was adapted from our previous studies [20] , [21] , [22] , [23] , [24] . Articles were searched in PubMed and Embase.…”

Section: Methodsmentioning

confidence: 99%

Hip geometry and femoral neck fractures: A meta-analysis

Fajar

Taufan

Syarif³

et al. 2018

Journal of Orthopaedic Translation

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BackgroundSeveral studies have reported hip geometry to predict the femoral neck fractures. However, they showed inconsistency.ObjectivesTo determine the association between hip geometry and femoral neck fractures.MethodsPublished literature from PubMed and Embase databases (until May 25th, 2017) was searched for eligible publications. The information related to (1) name of first author; (2) year of publication; (3) country of origin; (4) sample size of cases and controls and (5) mean and standard deviation of cases and controls were extracted. The pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) for the association between hip geometry and femoral neck fractures were assessed using random or fixed effect model. A Comprehensive Meta-analysis software, version 2.0, was used to analyse the data.ResultsA total of 11 studies were included in this study. Our results showed that increase in hip axis length (OR 95% CI = 1.53 [1.06–2.21], p = 0.025), femoral neck angle (OR 95% CI = 1.47 [1.01–2.15], p = 0.044) and neck width (OR 95% CI = 2.68 [1.84–3.91], p < 0.001) was associated with the risk of femoral neck fractures, whereas we could not find the correlation between femoral neck axis length and the risk of femoral neck fractures.ConclusionThere is strong evidence that elevated hip axis length, femoral neck angle and neck width are the risk factor for femoral neck fractures.The Translational Potential of this Article: Determining the hip axis length, femoral neck angle and neck width that are most highly associated with femoral neck fracture may allow clinicians to more accurately predict which individuals are likely to experience femoral neck fractures in the future.

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“…To reach this purpose, published papers from PubMed, Embase, Cohcrane, and Web of science were collected for calculation of odd ratio (OR) and 95% confidence interval (95%CI) using either random or fixed effect model. The protocols in our current study including papers selection, data extraction, quality assessment, and statistical analysis were adapted from our previous meta-analyses [19][20][21][22], and we also used the checklist of the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) to guide the protocols in our study [23].…”

Section: Methodsmentioning

confidence: 99%

Association between calcium-sensing receptor (CaSR) R990G, CaSR A986S, and CaSR Q1011E gene polymorphisms and the risk of urolithiasis: a meta-analysis

Daryanto

Purnomo

Gunawan

et al. 2019

Egypt J Med Hum Genet

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Backgrounds: In the last two decades, studies have been widely carried out to assess the association between singlenucleotide polymorphisms (SNPs) of calcium-sensing receptor (CaSR) gene in exon 7 and the risk of urolithiasis. However, inconsistency across the studies was reported. Therefore, our current study aimed to perform a meta-analysis concerning the association between the risk of urolithiasis and the gene polymorphisms of CaSR R990G, CaSR A986S, and CaSR Q1011E. Methods: Published papers from PubMed, Embase, Cohcrane, and Web of science were included for the study, and they were analyzed using fixed or random effect model. Results: A total of 11 papers consisting of eight papers evaluating CaSR R990G, nine papers evaluating CaSR A986S, and five papers evaluating CaSR Q1011E were included in our analysis. Our pooled calculation found that protective effect against urolithiasis was observed in R allele and RR genotype of CaSR R990G and A allele and AA genotype of CaSR A986S. Conversely, increased susceptibility to urolithiasis was found in G allele and RG genotype of CaSR R990G and S allele of CaSR A986S. Interestingly, our findings in subgroup analysis confirmed that the correlation between CaSR R990G and urolithiasis was found in Caucasian population. Meanwhile, in Asian population, the association was observed in CaSR A986S. Conclusions: CaSR R990G and CaSR A986S, but not CaSR Q1011E, are associated with the risk of urolithiasis.

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The association between interleukin 6 −174 G/C gene polymorphism and the risk of osteoporosis: A meta-analysis

Cited by 17 publications

References 45 publications

The predictors of no reflow phenomenon after percutaneous coronary intervention in patients with ST elevation myocardial infarction: A meta-analysis

The predictors of no reflow phenomenon after percutaneous coronary intervention in patients with ST elevation myocardial infarction: A meta-analysis

Hip geometry and femoral neck fractures: A meta-analysis

Association between calcium-sensing receptor (CaSR) R990G, CaSR A986S, and CaSR Q1011E gene polymorphisms and the risk of urolithiasis: a meta-analysis

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