scholarly journals Comparing Hypofractionated With Conventional Fractionated Radiotherapy After Breast-Conserving Surgery for Early Breast Cancer: A Meta-Analysis of Randomized Controlled Trials

2021 ◽  
Vol 11 ◽  
Author(s):  
Lihu Gu ◽  
Wei Dai ◽  
Rongrong Fu ◽  
Hongfeng Lu ◽  
Jingyi Shen ◽  
...  

BackgroundThe purpose of this meta-analysis was to compare the safety and efficacy between hypofractionated and conventional fractionation radiotherapy in patients with early-stage breast cancer after breast-conserving surgery.MethodsWe conducted a comprehensive search of PubMed, Embase, Web of Science, and the Cochrane Library to identify relevant randomized controlled trials (RCTs) published before February 2021. At the same time, the hazard ratio (HR), risk ratio (RR), and 95% confidence interval (CI) were calculated to evaluate local recurrence (LR), relapse-free survival (RFS), overall survival (OS), adverse events, and cosmetic outcomes.ResultsA total of 14 articles were included in this meta-analysis. Four thousand eight hundred and sixty-nine patients were randomly assigned to the control group to receive conventional radiotherapy (CFRT); 6,072 patients were randomly assigned to the experimental group and treated with hypofractionated radiotherapy (HFRT). The results showed that there was no statistical difference between HFRT and CFRT in LR (HR = 0.99, 95%CI = 0.97–1.02, p = 0.476), RFS (HR = 0.99, 95%CI = 0.97–1.02, p = 0.485), OS (HR = 1.00, 95%CI = 0.97–1.03, p = 0.879), and cosmetic outcomes (RR = 1.03, 95%CI = 0.95–1.12, p = 0.53). In addition, HFRT showed fewer severe adverse reactions such as acute skin toxicity, induration, breast atrophy, and pain.ConclusionOur results suggest that there is no statistical difference between HFRT and CFRT in terms of LR, RFS, OS, and cosmetic outcomes. HFRT reduces the risk of developing toxicity reactions compared to CFRT. HFRT may be a better option for patients with early breast cancer after breast-conserving surgery.

2020 ◽  
Author(s):  
YongCheng Su ◽  
XiaoGang Zheng

Abstract BACKGROUND: Poly(ADP–ribose) polymerase (PARP) inhibitors are new class of drugs that are currently being studied in several malignancies. However, datas about the efficacy and safety of the PARP inhibitors are limited. Therefore, we conducted a meta-analysis of randomized controlled trials (RCT) in patients with breast cancer.METHODS: Pubmed/Medline, Embase, Cochrane Library, and abstracts presented at the annual meeting of the American Society of Clinical Oncology (ASCO) were searched for articles published from 2000 to June 2018.Summary incidences and the RR, HR with 95% confidence intervals, were calculated by using a random-effects or fixed-effects model.RESULTS: The summary HR indicated PARPi was not associated with OS (HR=0.83, 95%CI 0.66–1.06, Z=1.49, P=0.14), while it could significantly improve PFS ande time to deterioration (TTD) of global health status/quality of life(GHS/QoL) as compared with traditional standard therapy, the HR was 0.60(95%CI 0.50-0.72; Z=5.52, P<0.00001) and 0.4 (95%CI 0.29–0.54,z=5.80 ,p=0.000),respectively.The RR of grade 3 or more anemia ,fatigue and headache was 3.02 (95% CI, 0.69–13.17;p = 0.14,,I2=90%),0.77 (95%CI, 0.34–1.73;p=0.52,I2=7%) and 1.13 (95% CI,0.30–4.18;p=0.86,I2=0%),respectively.CONCLUSION: The findings of this meta-analysis showed that PARPi has no significant effect on OS, while it could significantly improve in PFS and TTD of GHS/QoL for patients with advanced or metastatic breast cancer.Furthermore,our findings also demonstrated that the PARPi treatment is connected with an increased risk of grade 3 or more anemia adverse events.


2010 ◽  
Vol 8 (3) ◽  
pp. 279-286 ◽  
Author(s):  
Davide Mauri ◽  
Antonis Valachis ◽  
Nikolaos P. Polyzos ◽  
Lamprini Tsali ◽  
Dimitris Mavroudis ◽  
...  

To address whether the use of bisphosphonates in the adjuvant setting of breast cancer might have any effect on the natural course of the disease, a meta-analysis was conducted of published and unpublished randomized controlled trials found in PubMed, the Cochrane Central Register of Controlled Trials, the ISI Web of Knowledge, and abstracts of major international conferences up to January 2009. All trials that randomized patients with primary breast cancer to undergo adjuvant treatment with any bisphosphonate versus non-use were considered eligible. Analysis included data from 13 eligible trials involving 6886 patients randomized to treatment with bisphosphonates (n = 3414) or either placebo or no treatment (n = 3472). Compared with no use, adjuvant breast cancer treatment with bisphosphonates did not reduce the overall number of deaths (odds ratio [OR], 0.708; 95% CI, 0.482–1.041; P = .079), bone metastases (OR, 0.925; 95% CI, 0.768–1.114; P = .413), overall disease recurrences (OR, 0.843; 95% CI, 0.602–1.181; P = .321), distant relapse (OR, 0.896; 95% CI, 0.674–1.192; P = .453), visceral recurrences (OR, 1.051; 95% CI, 0.686–1.609; P = .820), or local relapses (OR, 1.056; 95% CI, 0.750–1.487; P = .756). No significant heterogeneity was observed among the trials except for estimates of deaths and disease recurrences (P = .034 and P = .016, respectively). In subgroup analyses, use of zoledronic acid was associated with a statistically significant lower risk for disease recurrence (OR, 0.675; 95% CI, 0.479–0.952; P = .025). However, these results should be interpreted with caution because the statistical significance for this association was weak and might be attributed to chance from multi-test analyses. Use of zoledronic acid was not associated with any significant difference in death (OR, 0.642; 95% CI, 0.388–1.063) and bone metastasis rates (OR, 0.661; 95% CI, 0.379–1.151). Currently available evidence does not support the hypothesis that use of bisphosphonates in adjuvant treatment of early breast cancer will alter the natural course of the disease. Nonetheless, a nonsignificant trend seems to exist for better outcomes in patients undergoing bisphosphonate treatment. Until further evidence from new clinical trials becomes available, adjuvant bisphosphonates should not be recommended routinely.


2021 ◽  
Vol 12 ◽  
Author(s):  
Zeya Yan ◽  
Shujun Chen ◽  
Tao Xue ◽  
Xin Wu ◽  
Zhaoming Song ◽  
...  

Objectives: The clinical results caused by spontaneous intracerebral hemorrhage (ICH) are disastrous to most patient. As tranexamic acid (TXA) has been proved to decrease the influence of ICH, we conducted this research to explore the function of TXA for the prognosis of ICH compared with placebo.Methods: We searched MEDLINE, Embase, Cochrane Library, and Clinicaltrials.gov for randomized controlled trials (RCTs) that were performed to evaluate TXA vs. placebo for ICH up to February 2021. The data were assessed by Review Manager 5.3 software. The risk ratio (RR) and mean difference were analyzed using dichotomous outcomes and continuous outcomes, respectively, with a fixed effect model.Results: We collected 2,479 patients from four RCTs. Then, we took the change of hematoma volume, modified Rankin Scale (mRS), and adverse events as evaluation standard of the treatment for ICH. Through statistical analysis, we found that there is no obvious hematoma expansion effect after the application of TXA (RR = 1.05), and we proceeded the quantitative analysis of percentage change in hematoma volume from baseline, indicating that TXA could inhibit the expansion of hematoma volume (RR = −2.02) compared with placebo. However, according to the outcomes of mRS (0–1, RR = 1.04; 0–2, RR = 0.96), TXA cannot improve neurological functional prognosis. As for the security outcomes—mortality (RR = 1.02), thromboembolic events (RR = 0.99), neurological deterioration (RR = 0.92), infection (RR = 0.86), and craniotomy (RR = 0.41), there seems exist no statistical difference between TXA and placebo.Conclusions: TXA has an advantage in the aspect of preventing hematoma expansion compared with placebo for ICH, but cannot illustrate the efficacy of TXA in improving neurological functional prognosis, which still needs more researches with large sample sizes. Moreover, for safety, we did not find obvious statistical difference between TXA and placebo.


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