Prognostic Factors Associated with Survival in Women with Breast Cancer from Veracruz, Mexico

Álvarez-Bañuelos, María Teresa; Rosado-Alcocer, Ligia; Morales-Romero, Jaime; Román-Álvarez, Lizbeth San; García, Raúl Enrique Guzmán; Carvajal-Moreno, Magda

doi:10.4172/1948-5956.1000398

Cited by 3 publications

(5 citation statements)

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“…We found that patients with BC that have advanced stages of the disease have 3.01 times increased risk of death as compared to early stages. This nding is similar to ndings in Mexico, Hawaii, the US, Nigeria, and Uganda (8,10,12,28,29). This implies that earlier presentation or downstaging of BC at the time of diagnosis will have a paramount effect on the survival of BC patients.…”

Section: Discussionsupporting

confidence: 83%

“…In many countries with advanced medical care, the ve-year survival rate of early-stage breast cancers is 80-90 percent, while it falls to 24 percent for advanced stage (6). Five-year survival was 89% in Hawaii, 7.3% in Brazil, 67.6% in Iran, 63% in Mexico (7)(8)(9)(10), and 51.8% in Uganda, 24% in Nigeria (11,12). The only available studies in Ethiopia show that it is far below other developed and developing countries.…”

Section: Introductionmentioning

confidence: 99%

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Survival and Predictors of Mortality among Breast Cancer Patients Diagnosed at Hawassa Comprehensive Specialized and Teaching Hospital and Private Oncology Clinic in Southern Ethiopia: A Retrospective Cohort Study

Shita

Yalew

Tesfaw

et al. 2020

Preprint

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Background: Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death in over 100 countries. Despite the high burden of the problem, the survival status and the predictors for mortality are not yet determined well in Ethiopia. Therefore, we aimed to determine the survival and predictors of mortality among breast cancer patients diagnosed from 2013-2018 at Hawassa comprehensive specialized and teaching hospital and private oncology clinic in Southern Ethiopia.Methods: Hospital-based retrospective cohort study of 302 patients was conducted. Data was collected on breast cancer patients diagnosed from January, 1st, 2013 to December, 30th, 2018 using a data extraction checklist and by telephone interview. The median survival was estimated by Kaplan- Meier. Log Rank test was used to compare survival among groups. Cox proportional hazards model was used to identify predictors. Results were repaired as hazard ratio (HR) along with the corresponding 95% CI. Sensitivity analysis was done with the assumption of loss to follow-ups (LTF) might die 3 months after the last hospital visit. Results: Advanced stage diagnosis of breast cancer was found on 83.4 % of patients with breast cancer. The study participants were followed for a total of 4685.62 person-months. Their median survival was 50.61 months (IQR=18.38-50.80) which declined to 30.57 months in the worst-case analysis (WCA). The overall survival of patients at two years was 73.2% and it declines to 51.3 % in the worst-case analysis. Rural residence (AHR=2.71, 95% CI: 1.44, 5.09), travel time >7 hours (AHR=3.42, 95% CI: 1.05, 11.10), duration of symptom 7-23 months (AHR=2.63, 95% CI: 1.22, 5.64), > 23 months (AHR=2.37, 95% CI: 1.00, 5.59), advanced stage (AHR=3.01, 95% CI: 1.05, 8.59) and not taking chemotherapy (AHR=6.69, 95% CI: 2.20, 20.30) were independent predictors of death. Conclusion: Above two-third of the patients have two years of overall survival in south Ethiopia. Rural residence, advanced stage, and poor adherence to chemotherapy were independent predictors of death. Thus, Improving early detection, diagnosis, and treatment capacity of breast cancer patients are an important way-outs to avert the problem with appropriate intervention means.

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Section: Discussionsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Survival and Predictors of Mortality among Breast Cancer Patients Diagnosed at Hawassa Comprehensive Specialized and Teaching Hospital and Private Oncology Clinic in Southern Ethiopia: A Retrospective Cohort Study

Shita

Yalew

Tesfaw

et al. 2020

Preprint

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“…early stage disease. The finding is similar to study in Mexico, Hawaii, the USA, Nigeria, and Uganda [25][26][27][28][29]. It is therefore evident that earlier presentation or down staging of BC will have a significant impact on survival rates.…”

Section: Plos Onesupporting

confidence: 82%

Survival and predictors of breast cancer mortality in South Ethiopia: A retrospective cohort study

Shita

Yalew²,

Seife³

et al. 2023

PLoS ONE

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Background Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death in over 100 countries. In March 2021, the World Health Organization called on the global community to decrease mortality by 2.5% per year. Despite the high burden of the disease, the survival status and the predictors for mortality are not yet fully determined in many countries in Sub-Saharan Africa, including Ethiopia. Here, we report the survival status and predictors of mortality among breast cancer patients in South Ethiopia as crucial baseline data to be used for the design and monitoring of interventions to improve early detection, diagnosis, and treatment capacity. Methods A hospital-based retrospective cohort study was conducted among 302 female breast cancer patients diagnosed from 2013 to 2018 by reviewing their medical records and telephone interviews. The median survival time was estimated using the Kaplan-Meier survival analysis method. A log-rank test was used to compare the observed differences in survival time among different groups. The Cox proportional hazards regression model was used to identify predictors of mortality. Results are presented using the crude and adjusted as hazard ratios along with their corresponding 95% confidence intervals. Sensitivity analysis was performed with the assumption that loss to follow-up patients might die 3 months after the last hospital visit. Results The study participants were followed for a total of 4,685.62 person-months. The median survival time was 50.81 months, which declined to 30.57 months in the worst-case analysis. About 83.4% of patients had advanced-stage disease at presentation. The overall survival probability of patients at two and three years was 73.2% and 63.0% respectively. Independent predictors of mortality were: patients residing in rural areas (adjusted hazard ratio = 2.71, 95% CI: 1.44, 5.09), travel time to a health facility ≥7 hours (adjusted hazard ratio = 3.42, 95% CI: 1.05, 11.10), those who presented within 7–23 months after the onset of symptoms (adjusted hazard ratio = 2.63, 95% CI: 1.22, 5.64), those who presented more than 23 months after the onset of symptoms (adjusted hazard ratio = 2.37, 95% CI: 1.00, 5.59), advanced stage at presentation (adjusted hazard ratio = 3.01, 95% CI: 1.05, 8.59), and patients who never received chemotherapy (adjusted hazard ratio = 6.69, 95% CI: 2.20, 20.30). Conclusion Beyond three years after diagnosis, patients from southern Ethiopia had a survival rate of less than 60% despite treatment at a tertiary health facility. It is imperative to improve the early detection, diagnosis, and treatment capacities for breast cancer patients to prevent premature death in these women.

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“…Classification of breast cancer stage according to AJCC [5] has a relationship with survival prognosis. This situation is indicated by decreasing survival rate from Stage I 90%, Stage II 65%, Stage II 20% and Stage IV 5% [6].To determine why the survival rate of breast cancer cases is low, it is necessary to identify the prognostic factors survival rate [7]. The major prognostic factors of breast cancer are associated with several possible approaches to diagnosis, including clinic stages [8], and histopathological grade [9] [10].…”

Section: Introductionmentioning

confidence: 99%

“…Survival rate depends also on the type of diagnosis based on the existence of metastasis [11][12][13]; radiologic figure of mammography [14]; and genetic expression [15]. In addition to the clinical stage stage of breast cancer or the type of diagnosis, there are several other prognostic factors associated with survival rate, namely: age [16], race [15] , occupation [17], comorbidity: diabetes [18]; anemia [7] [19], family history [7], tumor size [20] [21], location of lymph node metastasis [11] [21]. Survival rate is also related to type of surgery and treatment, including in chemotherapy [22], breast surgery [23], hormonal [7] and radiotherapy [24].…”

Section: Introductionmentioning

confidence: 99%

Cox Proportional Hazard Survival Analysis to Inpatient Breast Cancer Cases

Bustan

Arman

Aidid

et al. 2018

J. Phys.: Conf. Ser.

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Prognostic Factors Associated with Survival in Women with Breast Cancer from Veracruz, Mexico

Cited by 3 publications

References 0 publications

Survival and Predictors of Mortality among Breast Cancer Patients Diagnosed at Hawassa Comprehensive Specialized and Teaching Hospital and Private Oncology Clinic in Southern Ethiopia: A Retrospective Cohort Study

Survival and Predictors of Mortality among Breast Cancer Patients Diagnosed at Hawassa Comprehensive Specialized and Teaching Hospital and Private Oncology Clinic in Southern Ethiopia: A Retrospective Cohort Study

Survival and predictors of breast cancer mortality in South Ethiopia: A retrospective cohort study

Cox Proportional Hazard Survival Analysis to Inpatient Breast Cancer Cases

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