Linked Life Data

19095439

Source:http://linkedlifedata.com/resource/pubmed/id/19095439

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-12-30
pubmed:abstractText
The objectives of this study were to evaluate whether the number of lesions that are used to measure tumour burden affects response assessment and inter-rater variability. In order to accomplish this, a simulation study was conducted. Data were generated from a mixed-effects mixture model. Parameter values to input in the model were obtained from the analysis of real data. Response assessments based on 10, five, three, two and one lesion were evaluated. There was little difference between response assessments based on five lesions and response assessments based on 10 lesions. When fewer than five lesions were used to assess response, there were notable differences from the 10 lesion-based response assessment. Basing response assessment on a small number of lesions tends to overestimate response rates and leads to misclassification of patients' response status. Therefore, measuring five lesions per patient appears to sufficiently capture patients' response to therapy. Measuring fewer than five lesions results in the loss of information that may adversely affect clinical trial results as well as patient management.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1879-0852
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
45
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
300-10
pubmed:dateRevised
2011-5-16
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
A simulation study to evaluate the impact of the number of lesions measured on response assessment.
pubmed:affiliation
Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 307 East 63rd Street, New York, NY 10065, USA. moskowc1@MSKCC.ORG
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural