Sentinel lymph node mapping and biopsy for breast cancer: a review of the literature relative to 4791 procedures.

The status of axillary nodes is the most important prognostic factor in breast cancer to select patient subgroups for adjuvant chemotherapy; the current standard of care for surgical management of invasive breast cancer is complete removal of the tumor by either mastectomy or lumpectomy followed by axillary lymph node dissection (ALND). The recent introduction of intraoperative lymphatic mapping and sentinel lymph node biopsy (SLND) represents a major new opportunity for appropriate and less invasive surgical management of many tumors. There is an almost uniformly enthusiasm concerning the potential of this technique in breast carcinoma management, shown by published data. A peculiar attention to the so-called "sentinel node debate" in breast cancer surgery is a constant in the last years issues of the major medical journals. Even patients have become more aware about medical enthusiasm and their request of concise information on the topic and the possibilities of this approach is an increasing reality in medical practice. The aim of this paper is to review recent literature to offer an overview about the main controversial methodological aspects and a wide analysis of reported results. The most significative international literature papers from Medline were retrieved from 1993 to September 1999, and 4782 procedures were analysed. This extensive review of the literature has confirmed accuracy, feasibility and reliability of the SN detecting technique in axillary mapping. Provided a good proficiency in SN localisation and pathological evaluation, human resources and efforts should be mainly focused on its clinical validation as an alternative to ALND instead of on further phase I-lI clinical studies

Influenza interaction with cocirculating pathogens and its impact on surveillance, pathogenesis, and epidemic profile: A key role for mathematical modelling

International audienceEvidence is mounting that influenza virus interacts with other pathogens colonising or infecting the human respiratory tract. Taking into account interactions with other pathogens may be critical to determining the real influenza burden and the full impact of public health policies targeting influenza. This is particularly true for mathematical modelling studies, which have become critical in public health decision-making. Yet models usually focus on influenza virus acquisition and infection alone, thereby making broad oversimplifications of pathogen ecology. Herein, we report evidence of influenza virus interactions with bacteria and viruses and systematically review the modelling studies that have incorporated interactions. Despite the many studies examining possible associations between influenza and Streptococcus pneumoniae, Staphylococcus aureus, Haemophilus influenzae, Neisseria meningitidis, respiratory syncytial virus (RSV), human rhinoviruses, human parainfluenza viruses, etc., very few mathematical models have integrated other pathogens alongside influenza. The notable exception is the pneumococcus-influenza interaction, for which several recent modelling studies demonstrate the power of dynamic modelling as an approach to test biological hypotheses on interaction mechanisms and estimate the strength of those interactions. We explore how different interference mechanisms may lead to unexpected incidence trends and possible misinterpretation, and we illustrate the impact of interactions on public health surveillance using simple transmission models. We demonstrate that the development of multipathogen models is essential to assessing the true public health burden of influenza and that it is needed to help improve planning and evaluation of control measures. Finally, we identify the public health, surveillance, modelling, and biological challenges and propose avenues of research for the coming years