Association between age and survival in a cohort of Brazilian patients with operable breast cancer

Balabram, Débora; Turra, Cássio M.; Gobbi, Helenice

doi:10.1590/0102-311x00114214

Cited by 8 publications

(6 citation statements)

References 33 publications

(52 reference statements)

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“…Unlike most of previous findings (31,36) chemotherapy was found to be an independent predictors of survival that becomes statistically significant in the cox proportional hazard model. Those women who had receiving chemotherapy was significantly predictor to reduced incidence of death, AHR 0.27 (95%CI: 0.130-0.565) patients without chemotherapy had 27% more chance of death than that of patients who was treated.…”

Section: Discussioncontrasting

confidence: 99%

“…This therapy reduced the risk of death among breast cancer patients in the study population. The finding is consistent with previous findings in many studies all over the world (4,31,36).Where, hormone therapy was found to have a protective effect for mortality (AHR, 0.67; 95% CI, 0.451-0.989). The effect of hormone therapy on survival improvement was often mentioned along with the influence of hormone receptors.…”

Section: Discussionsupporting

confidence: 92%

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Survival status and predictors of mortality among Breast Cancer patients in Adult Oncology Unit at Black Lion Specialized Hospital, Addis Ababa, Ethiopia, 2018

Shiferaw

Mulugeta

Areri

et al. 2019

Preprint

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Introduction:Breast cancer is a leading cause of death worldwide, and ranks as the fifth cause of death from all cancers, and the most common cause of cancer death in women in both developing and developed countries. Breast cancer ranks as the first most frequent cancer among women in Ethiopia. In spite of the high incidence and mortality rate, survival status among breast cancer patients was not determined in our country. Hence, this study aimed to assess survival status and predictor of mortality among breast cancer patients in Black Lion Specialized Hospital.Objective: the main aim of the study is to assess the survival status and predictor of mortality among Breast Cancer patients in Black Lion Specialized Hospital Adult Oncology Unit in 2018. Methods: An institution based retrospective longitudinal study was conducted in BLSH AdultOncology Unit. All cases of breast cancer registered from January1 st 2012-December30 th , 2014 in BLSH were followed retrospectively for the six-year survival (until december30 th , 2017).Kaplan-meier survival curve together with log rank test were used to test for the presence of difference in survival among predictor variables. Cox regression were used at 5% level of significance to determine the net effect of each explanatory variable on time to death after diagnosis of breast cancer. Results:In this study incidence of mortality was 9.8 per 100 person years (95% CI: 8.49-11.47).The overall median survival time was 56.5(95% CI (53.46 -60.83)) months. The overall estimated survival rate after diagnosis of breast cancer was nearly 27% (95% CI, 17.09 to 36.67 %) at 72 months of follow up. The overall survival rates at 1, 3, and 5 years were, 97.2%, 80.8%, and 46.2% respectively. Predictors of mortality were clinical stage (III&IV),(AHR =1.86), poorly differentiated histology (AHR: 3.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionsupporting

confidence: 92%

Survival status and predictors of mortality among Breast Cancer patients in Adult Oncology Unit at Black Lion Specialized Hospital, Addis Ababa, Ethiopia, 2018

Shiferaw

Mulugeta

Areri

et al. 2019

Preprint

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“…Of the 1500 Iranian BC patients, 36% had age ≥ 50 years, and the result showed a low number of elderly women with BC in Iran [20]. A nested cohort on 6248 early BC patients was in agreement with this research [13], whereas a cohort of 767 Brazilian BC patients showed the opposite results [21]. The percentage of elderly patients (≥ 50 years) in the present study was 55.9%.…”

Section: Discussionsupporting

confidence: 82%

Prognostic factors influencing prognosis in early breast cancer patients

Najafi

Sadeghi

Abasvandi

et al. 2019

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Aim of the study The present study showed the clinicopathological characteristics and survival of early breast cancer (BC) patients. Material and methods A total of 236 patients were included in the study. The mean follow-up time was 59.5 months (range: 12-204 months). The inclusion criteria consisted of female patients aged > 20 years and early BC patients (stages I and IIA). Results The mean age at diagnosis was 51.2 years (range, 23-83 years), and 55.9% of patients were aged ≥ 50 years. Most patients (92.8%) did not have lymph node metastasis, and luminal B had the highest prevalence (54.2%) in patients. The eight-year overall survival (OS) and disease-free survival (DFS) rates were 98.3% and 92.3%, respectively. Stage IIA and Ki67 index ≥ 14% were more prevalent in the patients with tumour size of 2 ≤ T ≤ 5 cm compared to another tumour size group and Ki67 index. Conclusions The mean age at diagnosis in this study was in agreement with other studies reported in various areas, but with a higher percentage for elderly patients compared to some previous studies. In addition, the survival rate in the present study was higher than the results of previous studies. Future studies need to investigate these factors in a higher number of patients and in different areas and should select similar stages for early BC.

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“…A few studies performed comprehensive analyses involving patients of all ages. Balabram et al[20] performed a retrospective cohort study of 767 breast cancer patients in Brazil, the results of which indicated that women aged ≥70 and ≤35 exhibited shorter cancer-specific survival than patients aged between 36 and 69 years. Roder et al[21] analysed 493 breast cancer patients diagnosed from 1998–2005 in Australia and found that women under 40 years and over 70 years exhibited poorer overall survival than women between 40 and 69 years.…”

Section: Discussionmentioning

confidence: 99%

Effect of Age on Breast Cancer Patient Prognoses: A Population-Based Study Using the SEER 18 Database

et al. 2016

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BackgroundAge is an important risk factor for breast cancer, but data regarding whether patient age at diagnosis is related to breast cancer survival are conflicting. This population-based study evaluated the effect of age on breast cancer prognosis and identified outcome-related factors.Patients and MethodsWe searched the Surveillance, Epidemiology, and End Results (SEER) database and enrolled female primary non-metastatic cases. Patients were subdivided into seven groups, and analyses of the associations between age and overall survival (OS) and breast cancer-specific survival (BCSS) were carried out using the Kaplan-Meier method and Cox regression model, respectively. We also assessed differences in survival among three specific age groups, using the ages of 30 and 50 years as cut-offs. Stratified analyses regarding race, histology, grade, stage and hormone receptor status were also carried out.ResultsA total of 133,057 female patients diagnosed with breast cancer from 2004 to 2008 were included in the current study (6.4% <40 years), Women aged 40 to 49 years and 60 to 69 years exhibited significantly better OS and BCSS, respectively (log-rank, p<0.001), than their counterparts in other groups. Middle-aged women exhibited distinctly better OS (log-rank, p<0.001) and BCSS (log-rank, p<0.001) than their counterparts in the other two age groups. Following adjustments for potential confounding factors, middle-age at breast cancer diagnosis was shown to be an independent predictor of favourable outcomes in terms of OS, but not BCSS (for OS, HR, 0.92; 95%CI, 0.87–0.98; p = 0.007; for BCSS, HR, 0.94; 95%CI, 0.80–1.01; p = 0.075, using the young group as reference). Stratified analysis showed that middle-age was significantly associated with increased survival, except among patients with stage III disease, and that elderly women faced worse prognoses than younger patients.ConclusionOur results indicate that younger breast cancer patients exhibit more aggressive disease than older patients. Middle-aged patients exhibit better OS and BCSS than young and elderly patients but exhibit BCSS rates similar to those of young patients after adjustments for confounders. Stratified analysis demonstrated that middle-aged patients exhibited better survival than young patients, with the exception of patients with stage III disease. An age of 60 years or more was a significant independent predictor of a poor prognosis.

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Association between age and survival in a cohort of Brazilian patients with operable breast cancer

Cited by 8 publications

References 33 publications

Survival status and predictors of mortality among Breast Cancer patients in Adult Oncology Unit at Black Lion Specialized Hospital, Addis Ababa, Ethiopia, 2018

Survival status and predictors of mortality among Breast Cancer patients in Adult Oncology Unit at Black Lion Specialized Hospital, Addis Ababa, Ethiopia, 2018

Prognostic factors influencing prognosis in early breast cancer patients

Effect of Age on Breast Cancer Patient Prognoses: A Population-Based Study Using the SEER 18 Database

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