نتایج جستجو برای: recurrence prediction

تعداد نتایج: 337559  

2009
Hyun Joo Lee Jisuk Jo Dae-Soon Son Jinseon Lee Yong Soo Choi Kwhanmien Kim Young Mog Shim Jhingook Kim

We present a recurrence prediction model using multiple clinical parameters in patients surgically treated for non-small cell lung cancer. Among 1,578 lung cancer patients who underwent complete resection, we compared the early-recurrence group with the 3-yr non-recurrence group for evaluating those factors that influence early recurrence within one year after surgery. Adenocarcinoma and squamo...

Journal: :Journal of thrombosis and haemostasis : JTH 2015
M Marcucci A Iorio J D Douketis S Eichinger A Tosetto T Baglin M Cushman G Palareti D Poli R C Tait P A Kyrle

BACKGROUND In order to stratify patients with a first unprovoked venous thromboembolism (VTE) according to their recurrence risk and to identify those who would actually benefit from indefinite anticoagulation, three prediction models have been developed so far; none of them has been yet externally validated. OBJECTIVE To externally validate the Vienna Prediction Model (VPM), a prediction gui...

2015
Shamira Sridharan Virgilia Macias Krishnarao Tangella Jonathan Melamed Emily Dube Max Xiangtian Kong André Kajdacsy-Balla Gabriel Popescu

Prediction of biochemical recurrence risk of prostate cancer following radical prostatectomy is critical for determining whether the patient would benefit from adjuvant treatments. Various nomograms exist today for identifying individuals at higher risk for recurrence; however, an optimistic under-estimation of recurrence risk is a common problem associated with these methods. We previously sho...

2017
Jie Cheng Katarina Cuk Jörg Heil Michael Golatta Sarah Schott Christof Sohn Andreas Schneeweiss Barbara Burwinkel Harald Surowy

Non-invasive blood-based molecule markers are evaluated as promising biomarkers these days. Here we investigated the potential of cell-free circulating DNA Integrity (cfDI) as blood-based marker for the prediction of recurrence during the follow-up of breast cancer patients within a prospective study cohort. cfDI was determined in plasma of 212 individuals, by measuring ALU and LINE1 repetitive...

2014
Shoon Lei Win Zaw Zaw Htike Faridah Yusof Ibrahim A. Noorbatcha

Cancer is one of the deadliest diseases in the world and is responsible for around 13% of all deaths worldwide. Cancer incidence rate is growing at an alarming rate in the world. Despite the fact that cancer is preventable and curable in early stages, the vast majority of patients are diagnosed with cancer very late. Furthermore, cancer commonly comes back after years of treatment. Therefore, i...

2015
Francis D. LaBarbera Ivan Nikiforov Arvin Parvathenani Varsha Pramil Subhash Gorrepati

BACKGROUND Clostridium difficile infection (CDI) is a growing problem in the community and hospital setting. Its incidence has been on the rise over the past two decades, and it is quickly becoming a major concern for the health care system. High rate of recurrence is one of the major hurdles in the successful treatment of C. difficile infection. There have been few studies that have looked at ...

Journal: :Journal of neurology, neurosurgery, and psychiatry 1970
M R Crompton P C Gautier-Smith

Journal: :BJU international 2009
Florian R Schroeck William J Aronson Joseph C Presti Martha K Terris Christopher J Kane Christopher L Amling Stephen J Freedland

OBJECTIVE To compare the predictive accuracy (PA) of existing models in estimating risk of biochemical recurrence (BCR) vs aggressive recurrence (BCR with a prostate-specific antigen, PSA, doubling time, DT, of <9 months). PATIENTS AND METHODS The study included 1550 men treated with radical prostatectomy (RP) between 1988 and 2007 within the Shared Equal Access Regional Cancer Hospital datab...

2014
Jian Li Wang Scott Patten Jitender Sareen James Bolton Norbert Schmitz Glenda MacQueen

BACKGROUND There exists very little evidence to guide clinical management for preventing recurrence of major depression. The objective of this study was to develop and validate a prediction algorithm for recurrence of major depression. METHODS Wave 1 and wave 2 longitudinal data from the U.S. National Epidemiological Survey on Alcohol and Related Condition (2001/2002–2003/2004) were used. Par...

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