|
rdf:type |
|
|
lifeskim:mentions |
umls-concept:C0001779,
umls-concept:C0009488,
umls-concept:C0025266,
umls-concept:C0033204,
umls-concept:C0034510,
umls-concept:C0038952,
umls-concept:C0087111,
umls-concept:C0376358,
umls-concept:C0392752,
umls-concept:C0443252,
umls-concept:C0870071,
umls-concept:C2603343
|
|
pubmed:issue |
4
|
|
pubmed:dateCreated |
2004-3-12
|
|
pubmed:abstractText |
We used a propensity risk scoring approach to model long-term survival for men with clinically localized prostate cancer. We developed comprehensive lookup tables for estimating survival probability stratified by patient age, race, readily available clinical variables, comorbidities and treatment type.
|
|
pubmed:language |
eng
|
|
pubmed:journal |
|
|
pubmed:citationSubset |
AIM
|
|
pubmed:status |
MEDLINE
|
|
pubmed:month |
Apr
|
|
pubmed:issn |
0022-5347
|
|
pubmed:author |
|
|
pubmed:issnType |
Print
|
|
pubmed:volume |
171
|
|
pubmed:owner |
NLM
|
|
pubmed:authorsComplete |
Y
|
|
pubmed:pagination |
1513-9
|
|
pubmed:dateRevised |
2004-11-17
|
|
pubmed:meshHeading |
pubmed-meshheading:15017210-Adult,
pubmed-meshheading:15017210-Age Factors,
pubmed-meshheading:15017210-Aged,
pubmed-meshheading:15017210-Case-Control Studies,
pubmed-meshheading:15017210-Cohort Studies,
pubmed-meshheading:15017210-Computer Simulation,
pubmed-meshheading:15017210-Continental Population Groups,
pubmed-meshheading:15017210-Humans,
pubmed-meshheading:15017210-Male,
pubmed-meshheading:15017210-Middle Aged,
pubmed-meshheading:15017210-Prostatic Neoplasms,
pubmed-meshheading:15017210-Retrospective Studies,
pubmed-meshheading:15017210-Survival Rate,
pubmed-meshheading:15017210-Time Factors
|
|
pubmed:year |
2004
|
|
pubmed:articleTitle |
Long-term survival probability in men with clinically localized prostate cancer: a case-control, propensity modeling study stratified by race, age, treatment and comorbidities.
|
|
pubmed:affiliation |
Vattikuti Urology Institute and Josephine Ford Cancer Center, Henry Ford Health System, Detroit, Michigan 48202, USA. ash@TheEhealth.com
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pubmed:publicationType |
Journal Article
|
