scholarly journals Association of TNF-α -308G>A Polymorphism with Susceptibility to Cervical Cancer and Breast Cancer – a Systematic Review and Meta-analysis

2019 ◽  
Vol 32 (3) ◽  
Author(s):  
Meraj Farbod ◽  
Mojgan Karimi-Zarchi ◽  
Naeimeh Heiranizadeh ◽  
Neda Seifi-Shalamzari ◽  
Mohammad Javad Akbarian-Bafghi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Cervical Cancer ◽  
Meta Analysis ◽  
Tnf Α

scholarly journals Accuracy of Self-report for Cervical and Breast Cancer Screening: A Systematic Review and Meta-analysis

2019 ◽  
Author(s):  
Johanna Anderson ◽  
Donald S. Bourne ◽  
Kim A. Peterson ◽  
Katherine M. Mackey
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Cervical Cancer ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Cervical Cancer Screening ◽  
Medical Records ◽  
Meta Analysis ◽  
Self Report ◽  
System Level

Abstract Background: Guideline-based breast and cervical cancer screenings are fundamental components of high-quality preventive women’s health care services. Accurate measurement of screening rates is vital to ensure all women are adequately screened. Our systematic review and meta-analysis aims to provide an updated synthesis of the evidence on the accuracy of self-reported measures of cervical and breast cancer screening compared to medical records. Methods: To identify studies, we searched MEDLINE®, Cochrane Database of Systematic Reviews, and other sources up to July 2019. Two reviewers sequentially selected studies, abstracted data, and assessed internal validity and strength of the evidence. Adjusted summary numbers for sensitivity and specificity were calculated using a bivariate random-effects meta-analysis. Results: Unscreened women tended to over-report screening among 39 included studies examining the accuracy of self-report for cervical and/or breast cancer screening. The specificity of self-report was 48% (95% CI 41 to 56) for cervical cancer screening and 61% (95% CI 53 to 69) for breast cancer screening while the sensitivity of self-report was much higher at 96% (95% CI 94 to 97) for cervical cancer screening and 96% (95% CI 95 to 98). We have moderate confidence in these findings, as they come from a large number of studies directly assessing the accuracy of self-report compared to medical records and are consistent with findings from a previous meta-analysis. Conclusions: Unscreened women tend to over-report cervical and breast cancer screening, while screened women more accurately report their screening. Future research should focus on assessing the impact of over-reporting on clinical and system-level outcomes.

scholarly journals The Risk of Secondary Malignancies in Patients with Ovarian Cancer: A Systematic Review and Meta-Analysis

2020 ◽  
Author(s):  
Keyvan Heydari ◽  
Sahar Rismantab ◽  
Reza Alizadeh-Navaei ◽  
Amir Shamshirian ◽  
Nima Shadmehri ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Ovarian Cancer ◽  
Cervical Cancer ◽  
Connective Tissue ◽  
Web Of Science ◽  
Meta Analysis ◽  
Secondary Malignancies ◽  
Random Effects Models ◽  
Increased Risk

AbstractThis study was performed to systematically asses the risk of secondary malignancies in patients with ovarian cancer. We conducted a systematic search in PubMed, Web of Science, and Scopus databases up to September 2019 to find target studies. In this study, the overall SIR has been calculated with fixed/random-effects models. Sixteen cohort studies including 122715 ovarian cancer patients with 4458 secondary malignancies have been included in this meta-analysis. Combined SIRs showed an increased risk of secondary malignancies prevalence (SIR: 1.81, 95%CI 1.58-2.03). The most prevalence diagnosed malignancies were as follows: breast cancer (1.34, 95%CI 1.5-1.18), intestine (2.36, 95%CI 1.11-3.61), colorectal (1.73, 95%CI 1.44-2.02), pancreatic (1.42, 95%CI 1.13-1.71), cervical cancer (11.57, 95%CI 6.94-16.21), renal (1.43, 95%CI 1.11-1.74), bladder (2.13, 95%CI 1.77-2.50), leukemia (3.33, 95%CI 2.23-4.43), connective tissue (2.61, 95%CI 1.56-3.66), and thyroid (1.59, 95%CI 1.13-2.04). In regards to the results, various malignancies have a greater prevalence in patients with ovarian cancer in comparison to the general public. Corpus cancer, leukemia cancer, endometrium cancer, connective tissue malignancy, and bladder cancer are among the high risks in these patients and need to be considered for them. Hence, the survival rate of the patients can be increased through prevention and early diagnosis.

scholarly journals Association of the s1799724 and rs1800629 Polymorphisms of the TNF-α Gene with Susceptibility to Cervical Cancer: a Systematic Review and Meta-Analysis based on 24 Case-Control Studies

2017 ◽  
Vol 2 (2) ◽  
pp. 29
Author(s):  
Sedigheh Hamadani ◽  
Mahdieh Kamali ◽  
Sedigheh Hantoushzadeh ◽  
Razieh Sadat Tabatabaee ◽  
Hossein Neamatzadeh ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cervical Cancer ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Genetic Models ◽  
Case Control Studies ◽  
Cervical Cancer Risk ◽  
Tnf Α ◽  
Stratified Analysis

Objective: Some studies have recently focused on the association between TNF-α polymorphisms and cervical cancer; however, results have been inconsistent. In order to drive a more precise estimation, the present systematic review and meta-analysis is performed to investigate the relationship of the TNF-α rs1800629 and s1799724 polymorphisms with cervical cancer risk. Methods: An electronic search was conducted on PubMed, Web of Science, and Google scholar databases, for papers that describe the association between TNF-α polymorphisms and cervical cancer risk. Results: A number of 24 case-control studies in 22 publications were identified according to the inclusion criteria. The results showed that rs1800629 polymorphism was significantly associated with the increased cervical cancer risk under four genetic models (A vs. G: OR = 1.277, 95% CI: 1.104-1.477, p = 0.001; AA vs. GG: OR = 1.333, 95% CI: 1.062-1.674, p = 0.013; AG vs. GG: OR = 1.307, 95% CI: 1.064-1.605, p = 0.011; and AA+AG vs. GG: OR = 1.324, 95% CI: 1.104-1.587, p = 0.002). In stratified analysis, there was a significant association between rs1800629 polymorphism and cervical cancer risk in the subgroup of Caucasians and African, but not in Asians. However, no statistically significant association was observed between the s1799724 and cervical cancer risk under all genetic models. Furthermore, stratification by ethnicity indicated no association between the s1799724 and cervical cancer risk.Conclusion: the present meta-analysis suggests that the rs1800629 polymorphism of the TNF-α gene was significantly associated with cervical cancer risk, but not s1799724.  

Copper Concentrations in Breast Cancer: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 27 (37) ◽  
pp. 6373-6383 ◽  
Author(s):  
Leila Jouybari ◽  
Faezeh Kiani ◽  
Farhad Islami ◽  
Akram Sanagoo ◽  
Fatemeh Sayehmiri ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Breast Tissue ◽  
Reference Lists ◽  
Meta Analysis ◽  
Cancer Risks ◽  
Hair Samples ◽  
Significant Difference ◽  
Mean Differences ◽  
Very High

: Breast cancer is the most common neoplasm, comprising 16% of all women's cancers worldwide. Research of Copper (Cu) concentrations in various body specimens have suggested an association between Cu levels and breast cancer risks. This systematic review and meta-analysis summarize the results of published studies and examine this association. We searched the databases PubMed, Scopus, Web of Science, and Google Scholar and the reference lists of relevant publications. The Standardized Mean Differences (SMDs) between Cu levels in cancer cases and controls and corresponding Confidence Intervals (CIs), as well as I2 statistics, were calculated to examine heterogeneity. Following the specimens used in the original studies, the Cu concentrations were examined in three subgroups: serum or plasma, breast tissue, and scalp hair. We identified 1711 relevant studies published from 1984 to 2017. There was no statistically significant difference between breast cancer cases and controls for Cu levels assayed in any studied specimen; the SMD (95% CI) was -0.01 (-1.06 - 1.03; P = 0.98) for blood or serum, 0.51 (-0.70 - 1.73; P = 0.41) for breast tissue, and -0.88 (-3.42 - 1.65; P = 0.50) for hair samples. However, the heterogeneity between studies was very high (P < 0.001) in all subgroups. We did not find evidence for publication bias (P = 0.91). The results of this meta-analysis do not support an association between Cu levels and breast cancer. However, due to high heterogeneity in the results of original studies, this conclusion needs to be confirmed by well-designed prospective studies.

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