0000000000629358
AUTHOR
Daniel Herr
showing 4 related works from this author
Does chemotherapy improve survival in patients with nodal positive luminal A breast cancer? A retrospective Multicenter Study.
2019
BackgroundIn this study based on the BRENDA data, we investigated the impact of endocrine ± chemotherapy for luminal A, nodal positive breast cancer on recurrence free (RFS) and overall survival (OS). In addition, we analysed if tumor size of luminal A breast cancer influences survival in patients with the same number of positive lymph nodes.MethodsIn this retrospective multi-centre cohort study data of 1376 nodal-positive patients with primary diagnosis of luminal A breast cancer during 2001-2008 were analysed. The results were stratified by therapy and adjusted by age, tumor size and number of affected lymph nodes.ResultsIn our study population, patients had a good to excellent prognosis …
Standard treatment of female patients with breast cancer decreases substantially for women aged 70 years and older: a German clinical cohort study
2010
Standard treatment of patients with breast cancer decreases with age and older persons are mostly excluded from clinical trials. We hypothesized that non-adherence to treatment guidelines occurs for women agedor =70 years and changes overall survival (OAS) and disease-free survival (DFS).We enrolled 1922 women agedor =50 years with histologically confirmed invasive breast cancer treated at the University of Ulm from 1992 to 2005. Adherence to guidelines and effects on OAS and DFS for women agedor =70 years was compared with that for younger women (50-69 years).Women70 years less often received recommended breast-conserving therapy (70-79 years: 74%-83%;79 years: 54%) than women agedor =69 y…
The value of open-source clinical science in pandemic response
2021
International audience
ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
2022
The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing como…