Repeated observation of breast tumor subtypes in independent gene expression data sets
Top Cited Papers
- 26 June 2003
- journal article
- research article
- Published by Proceedings of the National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 100 (14), 8418-8423
- https://doi.org/10.1073/pnas.0932692100
Abstract
Background and aim: A shutdown of businesses enacted during the SARS-CoV-2 pandemic can serve different goals, e.g., prevent the intensive care unit (ICU) capacity from being overwhelmed ("flattening the curve") or keep the reproduction number substantially below one ("squashing the curve"). The aim of this study was to determine the clinical and economic value of a shutdown that is successful in "flattening" or "squashing the curve" in Germany. Methods: In the base case, the study compared a successful shutdown to a worst-case scenario with no ICU capacity left to treat COVID-19 patients. To this end, a decision model was developed using, e.g., information on age-specific fatality rates, ICU outcomes, and the herd protection threshold. The value of an additional life year was borrowed from new, innovative oncological drugs, as cancer reflects a condition with a similar morbidity and mortality burden in the general population in the short term as COVID-19. Results: A shutdown that is successful in "flattening the curve" is projected to yield an average health gain between 0.02 and 0.08 life years (0.2 to 0.9 months) per capita in the German population. The corresponding economic value ranges between 1543 and 8027 euros per capita or, extrapolated to the total population, 4% to 19% of the gross domestic product (GDP) in 2019. A shutdown that is successful in "squashing the curve" is expected to yield a minimum health gain of 0.10 life years (1.2 months) per capita, corresponding to 24% of the GDP in 2019. Results are particularly sensitive to mortality data and the prevalence of undetected cases. Conclusion: A successful shutdown is forecasted to yield a considerable gain in life years in the German population. Nevertheless, questions around the affordability and underfunding of other parts of the healthcare system emerge.Keywords
This publication has 27 references indexed in Scilit:
- A Gene-Expression Signature as a Predictor of Survival in Breast CancerNew England Journal of Medicine, 2002
- Associations between gene expressions in breast cancer and patient survivalHuman Genetics, 2002
- Gene-expression profiles predict survival of patients with lung adenocarcinomaNature Medicine, 2002
- The Use of Molecular Profiling to Predict Survival after Chemotherapy for Diffuse Large-B-Cell LymphomaNew England Journal of Medicine, 2002
- Molecular characterisation of soft tissue tumours: a gene expression studyThe Lancet, 2002
- Gene expression profiling predicts clinical outcome of breast cancerNature, 2002
- Prediction of central nervous system embryonal tumour outcome based on gene expressionNature, 2002
- Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implicationsProceedings of the National Academy of Sciences, 2001
- Gene-Expression Profiles in Hereditary Breast CancerNew England Journal of Medicine, 2001
- Distinct types of diffuse large B-cell lymphoma identified by gene expression profilingNature, 2000