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Author: Paul Hermanek Publisher: Springer Science & Business Media ISBN: 3642793959 Category : Medical Languages : en Pages : 303
Book Description
M. K. Gospodarowicz, P. Hermanek, and D. E. Henson Attention to innovations in cancer treatment has tended to eclipse the importance of prognostic assessment. However, the recognition that prognostic factors often have a greater impact on outcome than available therapies and the proliferation of biochemical, molecular, and genetic markers have resulted in renewed interest in this field. The outcome in patients with cancer is determined by a combination of numerous factors. Presently, the most widely recognized are the extent of disease, histologic type of tumor, and treatment. It has been known for some time that additional factors also influence outcome. These include histologic grade, lymphatic or vascular invasion, mitotic index, performance status, symptoms, and most recently genetic and biochemical markers. It is the aim of this volume to compile those prognostic factors that have emerged as important determinants of outcome for tumors at various sites. This compilation represents the first phase of a more extensive process to integrate all prognostic factors in cancer to further enhance the prediction of outcome following treatment. Certain issues surround ing the assessment and reporting of prognostic factors are also considered. Importance of Prognostic Factors Prognostic factors in cancer often have an immense influence on outcome, while treatment often has a much weaker effect. For example, the influence of the presence of lymph node involvement on survival of patients with metastatic breast cancer is much greater than the effect of adjuvant treatment with tamoxifen in the same group of patients [5].
Author: Paul Hermanek Publisher: Springer Science & Business Media ISBN: 3642793959 Category : Medical Languages : en Pages : 303
Book Description
M. K. Gospodarowicz, P. Hermanek, and D. E. Henson Attention to innovations in cancer treatment has tended to eclipse the importance of prognostic assessment. However, the recognition that prognostic factors often have a greater impact on outcome than available therapies and the proliferation of biochemical, molecular, and genetic markers have resulted in renewed interest in this field. The outcome in patients with cancer is determined by a combination of numerous factors. Presently, the most widely recognized are the extent of disease, histologic type of tumor, and treatment. It has been known for some time that additional factors also influence outcome. These include histologic grade, lymphatic or vascular invasion, mitotic index, performance status, symptoms, and most recently genetic and biochemical markers. It is the aim of this volume to compile those prognostic factors that have emerged as important determinants of outcome for tumors at various sites. This compilation represents the first phase of a more extensive process to integrate all prognostic factors in cancer to further enhance the prediction of outcome following treatment. Certain issues surround ing the assessment and reporting of prognostic factors are also considered. Importance of Prognostic Factors Prognostic factors in cancer often have an immense influence on outcome, while treatment often has a much weaker effect. For example, the influence of the presence of lymph node involvement on survival of patients with metastatic breast cancer is much greater than the effect of adjuvant treatment with tamoxifen in the same group of patients [5].
Author: Paul Glare Publisher: Oxford University Press ISBN: 0198530226 Category : Medical Languages : en Pages : 452
Book Description
In order to make decisions and offer quality health care, it is essential to be able to predict survival and other outcomes. This practical, evidence-based book brings together prognosis information for patients with advanced cancer.
Author: Richard D. Riley Publisher: Oxford University Press ISBN: 0192516655 Category : Medical Languages : en Pages : 384
Book Description
"What is going to happen to me?" Most patients ask this question during a clinical encounter with a health professional. As well as learning what problem they have (diagnosis) and what needs to be done about it (treatment), patients want to know about their future health and wellbeing (prognosis). Prognosis research can provide answers to this question and satisfy the need for individuals to understand the possible outcomes of their condition, with and without treatment. Central to modern medical practise, the topic of prognosis is the basis of decision making in healthcare and policy development. It translates basic and clinical science into practical care for patients and populations. Prognosis Research in Healthcare: Concepts, Methods and Impact provides a comprehensive overview of the field of prognosis and prognosis research and gives a global perspective on how prognosis research and prognostic information can improve the outcomes of healthcare. It details how to design, carry out, analyse and report prognosis studies, and how prognostic information can be the basis for tailored, personalised healthcare. In particular, the book discusses how information about the characteristics of people, their health, and environment can be used to predict an individual's future health. Prognosis Research in Healthcare: Concepts, Methods and Impact, addresses all types of prognosis research and provides a practical step-by-step guide to undertaking and interpreting prognosis research studies, ideal for medical students, health researchers, healthcare professionals and methodologists, as well as for guideline and policy makers in healthcare wishing to learn more about the field of prognosis.
Author: Mary K. Gospodarowicz Publisher: Wiley-Liss ISBN: Category : Medical Languages : en Pages : 836
Book Description
Prognostic Factors in Cancer, Second Edition updates the first authoritative monograph on prognostic factors and their use in planning treatment for cancer patients. The text is an extension of the work of the International Union Against Cancer (UICC) on the TNM Classification of Malignant Tumours and their current focus on prognostic factors in cancer. The TNM classification is the most widely used system for staging the progression of cancer. The anatomic extent of disease represented by the TNM system is the single most important predictor for outcomes of most tumors. Prognostic Factors in Cancer, Second Edition is divided into two parts. The first section examines prognosis in general and more specifically prognosis in cancer patients, including issues surrounding accuracy of measurement of prognosis, the methodology of studying and classifying prognostic factors, and the application of prognostic factors in clinical decision-making in the treatment of cancer. The second section provides chapters on site-specific or tumor-specific neoplasms and the prognostic factors associated with them. These chapters contain an overview of the relevant literature and include summaries that classify prognostic factors according to subject and relevance. Prognostic Factors in Cancer, Second Edition illustrates the scope of the field as it stands today, and will provide perspective on likely outcomes of neoplastic disease for all physicians and others responsible for the care of patients with cancer.
Author: Sam Thiagalingam Publisher: Cambridge University Press ISBN: 0521493390 Category : Mathematics Languages : en Pages : 597
Book Description
An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.
Author: Mahul B. Amin Publisher: Lippincott Williams & Wilkins ISBN: 1469857960 Category : Medical Languages : en Pages : 2443
Book Description
Knowledge in the field of urologic pathology is growing at an explosive pace. Today’s pathologists, specialists, and residents require a comprehensive and authoritative text that examines the full range of urological diseases and their diagnosis. Written by recognized leaders and educators in the field, the text provides readers with a detailed understanding of all diagnostic aspects of urological disease. Inside this unique resource, readers will explore a broad spectrum of practical information—including etiology, diagnostic criteria, molecular markers, differential diagnosis, ancillary tests, and clinical management. This is sure to be the new definitive text for urological pathology!
Author: Mitchell G. Scott Publisher: John Wiley & Sons ISBN: 0470086076 Category : Medical Languages : en Pages : 701
Book Description
Using a problem-based approach, Tietz's Applied Laboratory Medicine, Second Edition presents interesting cases to illustrate the current use and interpretation of the most commonly available clinical laboratory tests. The cases present detailed descriptions of the symptoms, diagnosis, and treatment of disease. The book begins with an up-to-date general discussion of selection and use of laboratory diagnostic and prognostic tests. Cases are then grouped by category, including cardiovascular, pulmonary, renal, liver, gastrointestinal, endocrine, gynaecologic & obstetrical, haematological, CNS, lipid, congenital, toxicological, infectious, and autoimmune diseases. Tietz's Applied Laboratory Medicine, Second Edition: Presents over 100 cases organised by disease group Reflects latest treatment and risk factor guidelines, testing algorithms and recommendations Newly covers coagulopathies, infectious diseases, and autoimmune diseases Provides excellent coverage of relevant pathophysiology and biochemistry, and includes cases in molecular diagnostics Discusses legal implications This book is an invaluable resource for all clinical chemists, clinical lab technologists, pathologists, and allied health professionals. It is also of interest for general practitioners, residents, medical students, and educators.
Author: B.A. Stoll Publisher: Springer Science & Business Media ISBN: 940093291X Category : Medical Languages : en Pages : 377
Book Description
The last 30 years have seen little improvement in the age-adjusted mortality rates for most common types of cancer, and until we develop more effective and less damaging treatment modalities for these tumours, selection of each patient's treatment must depend on prognostic pointers. These lead to a calculated trade off between our estimate of likely benefit to the patient, as against cost in terms of quality of life. But changes have occurred recently in our understanding of the traditional prognostic pointers used for selecting such individualised treatment. First, it is increasingly recognised that the stage at which a tumour presents is more related to the chromo logical age of the tumour (how far it has progressed before diagnosis) than to its biological characteristics. While advanced chronological age of the tumour may predict a greater likelihood of early death, only biological criteria can predict the tumour growth rate, the likelihood of prolonged survival, the likely course of the disease after the first recurrence or the likehood of response to systemic therapy. Second, there is increasing use of failure analysis in relating the clinical and biological characteristics of tumours to their response to standard treatments. In the past, the relationship was interpreted mainly in terms of survival rate, but the site and timing of first recurrence and the pattern and timing of subsequent spread provide a better assessment of the control possible from local or systemic therapy.
Author: Luc Duchateau Publisher: Springer Science & Business Media ISBN: 038772835X Category : Mathematics Languages : en Pages : 329
Book Description
Readers will find in the pages of this book a treatment of the statistical analysis of clustered survival data. Such data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. A typical example is the time to death in cancer patients, with patients clustered in hospitals. Frailty models provide a powerful tool to analyze clustered survival data. In this book different methods based on the frailty model are described and it is demonstrated how they can be used to analyze clustered survival data. All programs used for these examples are available on the Springer website.