ArticleInternational journal of environmental research and public health2009
New concepts in breast cancer emerge from analyzing clinical data using numerical algorithms.
Article in International journal of environmental research and public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Oncological safety of autologous breast reconstruction after mastectomy for invasive breast cancer.BMC cancer · 2018Article
- The Relationship Between Regional Anesthesia and Cancer: A Metaanalysis.Ochsner journal · 2017Review
- Article
- Guest Editor's Concluding Remarks-Advances in Usage of ANN, Discussion of an Unsolved Problem, and Some Differences between Papers Written by Engineers and by Physicians.Sensors (Basel, Switzerland) · 2009Article
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Authors and funding
1 author.
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No grant is acknowledged in the PubMed record.
Abstract
A small international group has recently challenged fundamental concepts in breast cancer. As a guiding principle in therapy, it has long been assumed that breast cancer growth is continuous. However, this group suggests tumor growth commonly includes extended periods of quasi-stable dormancy. Furthermore, surgery to remove the primary tumor often awakens distant dormant micrometastases. Accordingly, over half of all relapses in breast cancer are accelerated in this manner. This paper describes how a numerical algorithm was used to come to these conclusions. Based on these findings, a dormancy preservation therapy is proposed.
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