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Yirga, T.

Publications and source records attributed to Yirga, T..

2 recordsLinked to original sources

Survival status and predictors of mortality among Breast cancer patients at Black lion specialized hospital, Adult oncology unit, Addis Ababa, Ethiopia, 2018. A retrospective follow-up study with survival analysis

IntroductionBreast cancer is a foremost cause of death worldwide, ranks fifth among causes of death from all types of cancers; this is the most common cause of cancer death in women among both developing and developed countries. Breast cancer ranks first among most frequent cancers in women of Ethiopia. In spite of the high incidence, mortality rate, and survival status among breast cancer patients was not determined in Ethiopia.\n\nObjectiveThe main aim of the study is to assess the survival status and predictor the mortality among Breast Cancer patients in Adult Oncology Unit at Black Lion Specialized Hospital in 2018.\n\nMethodsAn institution based retrospective follow up study was conducted in Adult Oncology Unit at Black Lion Specialized Hospital. All cases of breast cancer registered from 1st January 2012 to 31th December,2014 were followed for the six-year survival (until 31th December, 2017). Kaplan-Meier survival curve together with log rank test was deployed to test for variations in the survival among predictor variables. Cox regression was used at 5% level of significance to determine the net effect of each independent variable on time to death of breast cancer clients.\n\nResultsThe results indicate that the incidence rate 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 was recorded 27% (95% CI, 17.09 to 36.67 %) at 72 months of follow up, whereas at odd years (1, 3, and 5 years) were, 97.2%, 80.8%, and 46.2% respectively. Predictors of mortality were assessed at clinical stage (III&IV),(AHR =1.86), poorly differentiated histology (AHR: 3.1) & positive lymph node status (AHR:3.13),Whereas adjuvant hormone therapy (AHR: 0.67) and chemotherapy (AHR:0.72) were protective.\n\nConclusionThe overall probability of survival in Ethiopia was inferior when compared with other high and middle-income countries. Predictors of mortality were at advanced clinical stage, poorly differentiated histology grade, surgical margin involvement and positive lymph node status. In contrary, adjuvant hormone therapy, modified radical mastectomy and chemotherapy were protective factors. Hence, special emphasis could be given to early screening, stage diagnosis and initiation of treatment.

epidemiology

The magnitude of neonatal mortality and its predictors in Ethiopia: a systematic review and meta-analysis.

AbstractsO_ST_ABSBackgroundC_ST_ABSAlthough neonatal death is a global burden, it is the highest in Sub Saharan Africa countries such as Ethiopia. This study was aimed to provide pooled national prevalence and predictors of neonatal mortality in Ethiopia.\n\nObjectiveTo assess the pooled prevalence and predictors of neonatal mortality in Ethiopia.\n\nSearch Strategyglobal databases were systematically explored. Systematically searched using the following databases: Boolean operator, Cochrane library, PubMed, EMBASE, HINARI, and Google Scholar. Selection, screening, reviewing and data extraction was done by two reviewers independently using Microsoft excel spread sheet. The modified Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute Prevalence Critical Appraisal tools were used to assess the quality of evidence\n\nSelection criteriaAll studies conducted in Ethiopia and reporting the prevalence and predictors of neonatal mortality were included\n\nData Collection and AnalysisData were extracted using a Microsoft Excel spreadsheet software and imported into STATA Version 14 s for further analysis. The pooled effect size with 95% confidence interval of neonatal mortality rate was determined using a weighted inverse variance random-effects model. Publication bias was checked using funnel plots, Eggers and baggers regression test. Heterogeneity also checked by Higginss method. A random effects meta-analysis model was computed to estimate the pooled effect size (i.e. prevalence and odds ratio). Moreover, subgroup analysis based on region, sample size and study design were done.\n\nResultsAfter reviewing 88 studies, 12 studies fulfilled the inclusion criteria and were included in the meta-analysis. The pooled national prevalence of neonatal mortality in Ethiopia was 16.3% (95% CI: 11.9, 20.7, I2 =88.6%). The subgroup analysis indicated that the highest prevalence was observed in Amhara region with a prevalence of 20.3% (95% CI: 9.6, 31.1, I2 =98.8) followed by Oromia, 18.8% (95%CI: 11.9,49.4, I2=99.5). Gestational age AOR,1.14 (95% CI: 0.94, 1.3), neonatal sepsis (OR:1.2(95% CI: 0.8, 1.5), respiratory distros (OR: 1.2(95% CI: 0.8, 1.5) and place of residency (OR:1.93 (95% CI:1.1,2.7) were the most important predictor.\n\nConclusionsneonatal mortality in Ethiopia was significantly decreased than the national report. There was evidence that neonatal sepsis, gestational age, respiratory distress were the significant predictors. We strongly recommended that health care workers should give a priority for the identified predictors.

developmental biology