scholarly journals Benefits of homeopathic complementary treatment in breast cancer patients. A retrospective cohort.

2021 ◽  
Vol 48 ◽  
pp. 101915
Author(s):  
Mohammed BENNANI ◽  
Jacques MEDIONI ◽  
Yecenia LOPEZ MARQUEZ ◽  
Daniel SCIMECA ◽  
Emmanuelle LERAY ◽  
...  
2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Beuth J ◽  
◽  
Böwe R ◽  

This clinical investigation was performed to evaluate the benefit of Complementary Medicine (CM) in breast cancer patients undergoing adjuvant Chemotherapy (ChT). Patients and Methods: The patients (n=668) were treated according to international guidelines with adjuvant ChT. As to reduce the side effects, the patients were complementarily treated with a combination of sodium selenite, proteolytic plant enzymes (bromelaine and papain) and Lens culinaris lectin. On Case Report Formulas (CRFs) assessment of side effects of ChT was documented at defined times during adjuvant ChT and additional complementary treatment. Validation was carried out by scoring from 1 (no side-effects/optimal tolerability) to 6 (extreme side-effects/extremely bad tolerability), however, only patients suffering from severe side effects (symptom scores 4 and higher) were enrolled into this investigation. Results: The severity of side-effects of ChT was significantly reduced by complementary treatment. Mean scores of symptoms declined for sleep disorder, fatigue, lack of drive (p<0.05) and for arthralgia, hot flushes, mucosal dryness, nausea, vomiting, diarrhea, loss of appetite, pain of tumour (p<0.001). Conclusion: This investigation confirms benefits of indication-based complementary treatment with the combination of sodium selenite, proteolytic enzymes and Lens culinaris lectin in breast cancer patients, e.g. reduction of side-effects of adjuvant ChT.


2020 ◽  
Author(s):  
Chen He ◽  
Wenxi Zhu ◽  
Yunxiang Tang ◽  
Yonghai Bai ◽  
Zheng Luo ◽  
...  

Abstract Background: The health burden of breast cancer is rising in China. The effect of informed diagnosis on long-term survival has not been fully understood. This retrospective cohort study aims at exploring the association between early informed diagnosis and survival time in breast cancer patients.Methods: 12,327 breast cancer patients were enrolled between October 2002 and December 2016. Potential factors including knowing cancer diagnosis status, gender, age, clinical-stage, surgical history, the grade of reporting hospital and diagnostic year were registered. We followed up all participants every 6 months until June 2017.Results: By June 2017, 18.04% of the participants died of breast cancer. Both the 3-year and 5-year survival rate of whom knew cancer diagnosis were longer (P<0.001). By stratified analysis, except subgroups of male patients and patients in stage III, patients knowing diagnosis showed a better prognosis in all the other subgroups (P<0.05). By Cox regression analysis, it was showed that not knowing cancer diagnosis was an independent risk factor for survival in breast cancer patients (P<0.001).Conclusions: Being aware of their cancer diagnosis plays a protective role in extending the survival time in breast cancer patients, which suggests medical staff and patients’ families disclose cancer diagnosis to patients timely.


2020 ◽  
Vol 8 (11) ◽  
pp. 656-660
Author(s):  
Anjali Vinocha ◽  

Introduction:Breast cancer is the most common cancer in women, with 5- and 10-year relative survival rates are 91% and 84%, respectively for women with invasive breast cancer. This study aimed to detect the role of serum breast cancer marker CA 15-3 for early detection of metastasis, relapse or recurrence for management of breast cancer patients. Methods: It was a retrospective cohort study with a total of 132 breast cancer patients from the year 2010 to march 2020 were taken and followed up. For these patients demographic, biochemical parameters, radiological and clico-pathological data were collected and analysed. Result: The mean age at the time of presentation and mean duration of follow-up was 47 years and 31 months respectively. There was elevation in the serum level of CA 15-3 at the time of diagnosis of metastasis, recurrence or residual disease in 41 patients. This shows that sensitivity of elevated CA 15-3 (> 30 IU/ml) level in Ca Breast patients was 84%, 75 % and 75 % with respect to metastasis, recurrence and relapse. Log Rank test Chi- square value was 7.39 which was statistically significant (p=0.007). Cox proportional hazard model was created for effect of age at presentation, CA 15-3 at the time of diagnosis and MRM on distant metastasis and was statistically significant (p=0.037). Conclusion: We recommend that for the management of breast cancer patients, Cancer antigen (CA 15-3) levels can be used as prognostic marker for early diagnosis of metastasis, recurrence or relapse.


2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Mozhgan Safe ◽  
Javad Faradmal ◽  
Hossein Mahjub

Background. Breast cancer which is the most common cause of women cancer death has an increasing incidence and mortality rates in Iran. A proper modeling would correctly detect the factors’ effect on breast cancer, which may be the basis of health care planning. Therefore, this study aimed to practically develop two recently introduced statistical models in order to compare them as the survival prediction tools for breast cancer patients.Materials and Methods. For this retrospective cohort study, the 18-year follow-up information of 539 breast cancer patients was analyzed by “Parametric Mixture Cure Model” and “Model-Based Recursive Partitioning.” Furthermore, a simulation study was carried out to compare the performance of mentioned models for different situations.Results. “Model-Based Recursive Partitioning” was able to present a better description of dataset and provided a fine separation of individuals with different risk levels. Additionally the results of simulation study confirmed the superiority of this recursive partitioning for nonlinear model structures.Conclusion. “Model-Based Recursive Partitioning” seems to be a potential instrument for processing complex mixture cure models. Therefore, applying this model is recommended for long-term survival patients.


2003 ◽  
Vol 27 (4) ◽  
pp. 395-399 ◽  
Author(s):  
Mehmet L. Akin ◽  
Haldun Uluutku ◽  
Cengiz Erenoglu ◽  
Ahmet Karadag ◽  
Bahad?r M. Gulluoglu ◽  
...  

2020 ◽  
Author(s):  
Ming Yang ◽  
Yueyuan Wang ◽  
Zhihao Zhang ◽  
Jingyu Peng ◽  
Xiao Xie ◽  
...  

Abstract Background Metformin, which is cheap and easy to get, is a first-line anti-hyperglycemia drug. Recently, its anti-tumor effect has been revealed. Here we performed a meta-analysis to summarize previous studies and a narrative review to gather the mechanisms involved in the potential relationship. Methods We searched related articles in database of Pubmed, EMbase, Web of science, the Cochrane Library, China National Knowledge Infrastructure (CNKI), the Wanfang and Sinomed and obtained 8 clinic trials that investigated the connection between metformin and breast cancer metastasis, containing 2 randomized controlled trials (RCTs) and 6 retrospective cohort studies. We evaluated each retrospective cohort study by Newcastle-Ottawa Scale (NOS), while RCT by Chcorane Risk of Bias tool. Pooled hazard ratios (HRs), risk ratios (RRs) and we calculated associated 95% confidence intervals (CIs) with a random-effect, generic inverse variance method. We also collected the possible mechanisms of cancer metastasis inhibition from metformin. Results A total of 8 studies containing 13919 breast cancer patients without distant metastasis before they got anticancer treatment. The result showed that adjuvant metformin in treatment of local breast cancer facilitated to suppress metastasis (HR = 0.69, 95% CI = 0.57–0.82, p < 0.0001, I2 = 0%), and the result was consistent with the subgroup of breast cancer patients with type 2 diabetes mellitus (T2DM) (HR = 0.68, 95% CI = 0.57–0.82, p < 0.0001, I2 = 0%). Conclusion The meta-analysis suggested metformin might repress the metastasis and be benefit to distant metastasis-free survival (DMFS) when added to systemic breast cancer therapy, supporting anti-tumor effects of metformin on breast cancer.


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