Chemotherapy leads to positive treatment outcomes in elderly breast cancer patients

2009 ◽  
Vol 9 (3) ◽  
pp. 197-199
2016 ◽  
Vol 26 (12) ◽  
pp. 2175-2185 ◽  
Author(s):  
Sharon L. Manne ◽  
Deborah Kashy ◽  
Scott D. Siegel ◽  
Carolyn J. Heckman

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 586-586 ◽  
Author(s):  
I. M. Lipkus ◽  
G. G. Kimmick ◽  
S. Y. Chui ◽  
D. L. Fifield ◽  
L. A. Werner ◽  
...  

586 Background: Based on clinical anecdotes and existing literature, the general population has trouble understanding and making use of statistical information. We explored the accuracy of breast cancer patients’ (pts) estimates of treatment outcomes (probabilities of remaining cancer free versus recurring) relative to data provided by ‘Adjuvant! Online‘ decision aid program, and whether accuracy differed by pts numeracy skills (i.e. use of mathematical concepts and operations). Methods: 43 ER+ women with early stage, node-negative breast cancer were recruited (mean age 56, 72% Caucasian). After signing an informed consent and completing an assessment of numeracy (Lipkus et al., 2001), pts discussed case-specific Adjuvant! print-outs with an oncologist. Pts then estimated their chances of being cancer free after receiving no further treatment, hormonal therapy only, chemotherapy only, or both. Pts also were asked to select the treatment option that afforded their best chance of remaining cancer free. Results: Compared to the estimates provided by Adjuvant! Online, pts underestimated their chance of being cancer free after receiving no further treatment (M=62 vs. 48 out of 100), hormonal therapy only (M=72 vs. 45), chemotherapy only, (M=71 vs.42), and combined therapy (M=78 vs. 54). 63% correctly selected the treatment option that afforded the highest estimate of being cancer free. More numerate patients were more likely to correctly specify which treatment option provided the best chance of being cancer free (OR=0.67, 95% CI: 0.50, 0.89, p<.006); and less likely to give personal estimates of being cancer free inconsistent with estimates provided by Adjuvant! for hormonal therapy (OR=0.17, 95% CI: 0.04, 0.72, p<.02), chemotherapy (OR=0.62, 95% CI: 0.39, 0.99, p<.05) and combined therapy (OR=0.44, 95% CI: 0.23, 0.85, p<.02). Conclusions: Findings suggest that pt numeracy skills are important in comprehending statistical data about adjuvant treatment outcomes. Numeracy skills may have implications for how statistical information about treatment is presented and discussed, affecting processes of informed decision-making and pt quality of life. No significant financial relationships to disclose.


2022 ◽  
Vol 10 ◽  
pp. 205031212110678
Author(s):  
Mwendwa Dickson Wambua ◽  
Amsalu Degu ◽  
Gobezie T Tegegne

Objectives: Despite breast cancer treatment outcomes being relatively poor or heterogeneous among breast cancer patients, there was a paucity of data in the African settings, especially in Kenya. Hence, this study aimed to determine treatment outcomes among breast cancer patients at Kitui Referral Hospital. Methods: A hospital-based retrospective cohort study design was conducted among adult patients with breast cancer. All eligible breast cancer patients undergoing treatment from January 2015 to June 2020 in the study setting were included. Hence, a total of 116 breast cancer patients’ medical records were involved in the study. Patients’ medical records were retrospectively reviewed using a predesigned data abstraction tool. The data were entered, cleaned, and analyzed using SPSS (Statistical Package for Social Sciences) version 26 software. Descriptive analysis—such as percentage, frequency, mean, and figures—was used to present the data. Kaplan–Meier survival analysis was used to estimate the mean survival estimate across different variables. A Cox regression analysis was employed to determine factors associated with mortality. Results: The study showed that the overall survival and mortality rate was 62.9% (73) and 37.1% (43), respectively. The regression analysis showed that patients who had an advanced stage of disease had a 3.82 times risk of dying (crude hazard ratio= 3.82, 95% confidence interval = 1.5–9.8) than an early stage of the disease. Besides, patients with distant metastasis had 4.4 times more hazards of dying than (crude hazard ratio = 4.4, 95% confidence interval = 2.1–9.4) their counterparts. Conclusion: The treatment outcome of breast cancer patients was poor, and its overall mortality among breast cancer patients was higher in the study setting. In the multivariate Cox regression analysis, the tumor size was the only statistically significant predictor of mortality among breast cancer patients. Stakeholders at each stage should, therefore, prepare a relevant strategy to improve treatment outcomes.


2018 ◽  
Vol 13 (5) ◽  
pp. 641-648 ◽  
Author(s):  
Annelieke E. C. A. B. Willemsen ◽  
Lioe-Fee de Geus-Oei ◽  
Maaike de Boer ◽  
Jolien Tol ◽  
Yvonne Kamm ◽  
...  

The Breast ◽  
2008 ◽  
Vol 17 (6) ◽  
pp. 661-665 ◽  
Author(s):  
Virginia Wolstenholme ◽  
Maria Hawkins ◽  
Sue Ashley ◽  
Diana Tait ◽  
Gillian Ross

2021 ◽  
Author(s):  
Dana Sadaqa ◽  
Ahlam Farraj ◽  
Hani Naseef ◽  
Hamza Alsaid ◽  
Nimeh Alshami ◽  
...  

Abstract Background: Breast cancer (BC) is the most common cancer among women. Studies have shown that cancer patients can develop depression impacting their quality of life, treatment outcomes, and survival rates. This study aimed to determine the risk factors, severity and prevalence of depression among females diagnosed with BC in multiple hospitals across Palestine.Methods: a cross-sectional study was conducted at different cancer treatment centers in Palestine using a previously developed questionnaire consisting of 23 questions to assess the severity of major depressive disorder among females diagnosed with breast cancer. The Patient Health Questionnaire-9 (PHQ-9) was included in the questionnaire. Results: Out of 223 respondents, 79 (35.4%) have developed moderate to severe depression. Chi-square results revealed that the risk of developing moderate to severe depression was higher among females who suffer from side-effects related to BC treatment (P<0.011), females who knew the BC stage at the diagnosis step (P<0.031), and negative implications on BC patients in Palestine (P<0.009).Conclusion: Breast cancer patients have an increased risk of developing major depressive disorder. Patient assessment and treatment for depression at the time of BC diagnosis, during the treatment journey, and monitoring after treatment completion is essential for patient quality of life and BC treatment outcomes.


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