The impact of gender and parenthood on physicians' careers - professional and personal situation seven years after graduation

BACKGROUND: The profile of the medical profession is changing in regard to feminization, attitudes towards the profession, and the lifestyle aspirations of young physicians. The issues addressed in this study are the careers of female and male physicians seven years after graduation and the impact of parenthood on career development. METHODS: Data reported originates from the fifth assessment (T5) of the prospective SwissMedCareer Study, beginning in 2001 (T1). At T5 in 2009, 579 residents (81.4% of the initial sample at T1) participated in the questionnaire survey. They were asked about occupational factors, career-related factors including specialty choice and workplace, work-life balance and life satisfaction. The impact of gender and parenthood on the continuous variables was investigated by means of multivariate and univariate analyses of variance; categorical variables were analyzed using Chi-square tests. RESULTS: Female physicians, especially those with children, have lower rates of employment and show lower values in terms of career success and career support experiences than male physicians. In addition, parenthood has a negative impact on these career factors. In terms of work-life balance aspired to, female doctors are less career-oriented and are more inclined to consider part-time work or to continue their professional career following a break to bring up a family. Parenthood means less career-orientation and more part-time orientation. As regards life satisfaction, females show higher levels of satisfaction overall, especially where friends, leisure activities, and income are concerned. Compared to their male colleagues, female physicians are less advanced in their specialty qualification, are less prone to choosing prestigious surgical fields, have a mentor less often, more often work at small hospitals or in private practice, aspire less often to senior hospital or academic positions and consider part-time work more often. Any negative impact on career path and advancement is exacerbated by parenthood, especially as far as women are concerned. CONCLUSION: The results of the present study reflect socially-rooted gender role stereotypes. Taking into account the feminization of medicine, special attention needs to be paid to female physicians, especially those with children. At an early stage of their career, they should be advised to be more proactive in seeking mentoring and career-planning opportunities. If gender equity in terms of career chances is to be achieved, special career-support measures will have to be provided, such as mentoring programs, role models, flexitime and flexible career structures

Feline low-grade alimentary lymphoma: an emerging entity and a potential animal model for human disease

Background: Low-grade alimentary lymphoma (LGAL) is characterised by the infiltration of neoplastic T-lymphocytes, typically in the small intestine. The incidence of LGAL has increased over the last ten years and it is now the most frequent digestive neoplasia in cats and comprises 60 to 75% of gastrointestinal lymphoma cases. Given that LGAL shares common clinical, paraclinical and ultrasonographic features with inflammatory bowel diseases, establishing a diagnosis is challenging. A review was designed to summarise current knowledge of the pathogenesis, diagnosis, prognosis and treatment of feline LGAL. Electronic searches of PubMed and Science Direct were carried out without date or language restrictions. Results: A total of 176 peer-reviewed documents were identified and most of which were published in the last twenty years. 130 studies were found from the veterinary literature and 46 from the human medicine literature. Heterogeneity of study designs and outcome measures made meta-analysis inappropriate. The pathophysiology of feline LGAL still needs to be elucidated, not least the putative roles of infectious agents, environmental factors as well as genetic events. The most common therapeutic strategy is combination treatment with prednisolone and chlorambucil, and prolonged remission can often be achieved. Developments in immunohistochemical analysis and clonality testing have improved the confidence of clinicians in obtaining a correct diagnosis between LGAL and IBD. The condition shares similarities with some diseases in humans, especially human indolent T-cell lymphoproliferative disorder of the gastrointestinal tract. Conclusions: The pathophysiology of feline LGAL still needs to be elucidated and prospective studies as well as standardisation of therapeutic strategies are needed. A combination of conventional histopathology and immunohistochemistry remains the current gold-standard test, but clinicians should be cautious about reclassifying cats previously diagnosed with IBD to lymphoma on the basis of clonality testing. Importantly, feline LGAL could be considered to be a potential animal model for indolent digestive T-cell lymphoproliferative disorder, a rare condition in human medicine

An example of the use of neural computing techniques in materials science - The modelling of fatigue thresholds in Ni-base superalloys

Two adaptive numerical modelling techniques have been applied to prediction of fatigue thresholds in Ni-base superalloys. A Bayesian neural network and a neurofuzzy network have been compared, both of which have the ability to automatically adjust the network's complexity to the current dataset. In both cases, despite inevitable data restrictions, threshold values have been modelled with some degree of success. However, it is argued in this paper that the neurofuzzy modelling approach offers real benefits over the use of a classical neural network as the mathematical complexity of the relationships can be restricted to allow for the paucity of data, and the linguistic fuzzy rules produced allow assessment of the model without extensive interrogation and examination using a hypothetical dataset. The additive neurofuzzy network structure means that redundant inputs can be excluded from the model and simple sub-networks produced which represent global output trends. Both of these aspects are important for final verification and validation of the information extracted from the numerical data. In some situations neurofuzzy networks may require less data to produce a stable solution, and may be easier to verify in the light of existing physical understanding because of the production of transparent linguistic rules. © 1999 Elsevier Science S.A