Breast cancer mortality gaps in Romanian women compared to the EU after 10 years of accession: Is breast cancer screening a priority for action in Romania? (Review of the Statistics)

Abstract

Breast cancer remains the most common cause of morbidity and mortality by cancer in females worldwide, even though it is largely preventable through population screening. Despite notable progress in the last years in the EU, breast cancer screening programs still maintain wide variations among countries and socio-economic groups. This statistical review aimed to investigate the breast cancer-related health gaps in Romanian women compared to the average EU female population after 10 years of accession (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016). We evaluated breast cancer-related deaths, age-standardized mortality rates and contribution of breast cancer to life expectancy. Trends and percentage changes were compared between Romania and EU-27 for breast cancer, all cancer and all causes of mortality. We found a higher increase of breast cancer deaths in Romania, an increasing trend of mortality (opposite to EU) and a contribution to life expectancy at birth that increased gradually from 0.45 to 0 48 years. All these health gaps compared to EU are aggravated by the fact that no population screening for breast cancer is organized in the country. The opportunities for organizing such a program are consistent, but they should be increased in the future, in order to control the health gap between Romania and EU.

Prognostic Value Estimation of BRIP1 in Breast Cancer by Exploiting Transcriptomics Data Through Bioinformatics Approaches

“…Cancer is anticipated to remain the foremost reason for death over the next 20 years. 1,2 Among all the types, breast cancer (BC) is the most predominant cancer and the second chief reason of death in women [3][4][5][6] though prognosis and proper treatment can significantly better the conditions by attaining enough time to prepare for combating the situation. 7 In 2019, the anticipated number of BC cases was 271,270 (male 2670 and female 268,600) and the predicted deaths were 42,260 (male 500 and female 41,760) in United States.…”

A Machine Learning Approach to Predict Stress Hormones and Inflammatory Markers Using Illness Perception and Quality of Life in Breast Cancer Patients

“…# example of grid searching key hyperparameters for gradient boosting on a classification dataset from sklearn.datasets import make_classification from sklearn.model_selection import RepeatedStratifiedKFold from sklearn.model_selection import GridSearchCV from sklearn.ensemble import GradientBoostingClassifier # define the model with default hyperparameters model = GradientBoostingClassifier() # define the grid of values to search grid = dict() grid['n_estimators'] = [10, 50, 100, 500] grid['learning_rate'] = [0.0001, 0.001, 0.01, 0.1, 1.0] grid['subsample'] = [0.5, 0.7, 1.0] grid['max_depth'] = [3,7,9] # define the evaluation procedure cv = RepeatedStratifiedKFold(n_splits = 10, n_repeats = 3, random_state = 1) # define the grid search procedure grid_search = GridSearchCV(estimator = model, param_grid = grid, n_jobs = −1, cv = cv, scoring = 'accuracy') # execute the grid search grid_result = grid_search.fit(X, Y) # summarize the best score and configuration print("Best: %f using %s" % (grid_result.best_score_, grid_result.best_params_)) # summarize all scores that were evaluated means = grid_result.cv_results_['mean_test_score'] stds = grid_result.cv_results_['std_test_score'] params = grid_result.cv_results_['params'] for mean, stdev, param in zip(means, stds, params): print("%f (%f) with: %r" % (mean, stdev, param))…”

“…In Western Europe, the 5-year survival rate improved to 80% in the past decade. Romania has one of the lowest survival rates in the European Union, due to reduced breast cancer screening and delayed diagnosis [2,3].…”

Geografia dezvoltării. Abordări centrate pe om

“…Analizând zece țări est-europene prin prisma accesului la facilități medicale pentru cancerul la sân, precum și a mecanismelor și facilităților existente, Dimitrova et al (2020) surprind și situația din România. Furtunescu et al (2021) consideră cancerul la sân o problemă majoră pentru România, analizând statisticile de după aderarea la UE. Discutând cu romi europeni (unii originari din România), Condon et al (2021) au încercat să surprindă perspectiva lor cu privire la prevenția și depistarea cancerului.…”