Linked Life Data

11505480

Source:http://linkedlifedata.com/resource/pubmed/id/11505480

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2001-8-15
pubmed:abstractText
In patients with head and neck squamous cell carcinoma (HNSCC) the estimated prognosis is usually based on the TNM classification. The relative weight of the three contributing parameters is often not completely clear. Moreover, the impact of other important clinical variables such as age, gender, prior malignancies, etc is very difficult to substantiate in daily clinical practice. The Cox-regression model allows us to estimate the effect of different variables simultaneously. The purpose of this study was to design a model for application in new HNSCC patients. In our historical data-base of patients with HNSCC, patient, treatment, and follow-up data are stored by trained oncological data managers. With these hospital-based data, we developed a statistical model for risk assessment and prediction of overall survival. This model serves in clinical decision making and appropriate counseling of patients with HNSCC.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1043-3074
pubmed:author
pubmed:copyrightInfo
Copyright 2001 John Wiley & Sons, Inc.
pubmed:issnType
Print
pubmed:volume
23
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
718-24
pubmed:dateRevised
2006-10-5
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Prediction of survival in patients with head and neck cancer.
pubmed:affiliation
Department of Otolaryngology and Head and Neck Surgery, Leiden University Medical Center, P. O. Box 9600, 2300RC Leiden, Holland. r.j.baatenburg_de_jong@lumc.nl
pubmed:publicationType
Journal Article