rdf:type |
|
lifeskim:mentions |
|
pubmed:issue |
18
|
pubmed:dateCreated |
1999-11-15
|
pubmed:abstractText |
Predicting individual risk is needed to target preventive interventions toward people with the highest probability of benefit over a given time period. We assessed which prognostic factors should be used in predicting risk for hypertensive patients and in searching for treatment modifiers.
|
pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
|
pubmed:month |
Nov
|
pubmed:issn |
1524-4539
|
pubmed:author |
pubmed-author:BoisselJ PJP,
pubmed-author:BoutitieFF,
pubmed-author:CoopeJJ,
pubmed-author:CutlerJJ,
pubmed-author:EkbomTT,
pubmed-author:FagardRR,
pubmed-author:FriedmanLL,
pubmed-author:GueyffierFF,
pubmed-author:KerlikowskeKK,
pubmed-author:PerryMM,
pubmed-author:PocockSS,
pubmed-author:PrineasRR,
pubmed-author:SchronEE
|
pubmed:issnType |
Electronic
|
pubmed:day |
2
|
pubmed:volume |
100
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
e88-94
|
pubmed:dateRevised |
2007-11-15
|
pubmed:meshHeading |
pubmed-meshheading:10545441-Age Factors,
pubmed-meshheading:10545441-Aged,
pubmed-meshheading:10545441-Cardiovascular Diseases,
pubmed-meshheading:10545441-Coronary Disease,
pubmed-meshheading:10545441-Female,
pubmed-meshheading:10545441-Humans,
pubmed-meshheading:10545441-Hypertension,
pubmed-meshheading:10545441-Male,
pubmed-meshheading:10545441-Multivariate Analysis,
pubmed-meshheading:10545441-Odds Ratio,
pubmed-meshheading:10545441-Prognosis,
pubmed-meshheading:10545441-Proportional Hazards Models,
pubmed-meshheading:10545441-Randomized Controlled Trials as Topic,
pubmed-meshheading:10545441-Risk Factors,
pubmed-meshheading:10545441-Sex Factors,
pubmed-meshheading:10545441-Stroke,
pubmed-meshheading:10545441-Survival Analysis
|
pubmed:year |
1999
|
pubmed:articleTitle |
Identification of risk factors in hypertensive patients: contribution of randomized controlled trials through an individual patient database.
|
pubmed:affiliation |
Clinical Pharmacology Department, Claude Bernard University, Lyon Hospitals, Lyon, France. fg@upcl.univ-lyon1.fr
|
pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Meta-Analysis
|