Linked Life Data

21210576

Source:http://linkedlifedata.com/resource/pubmed/id/21210576

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2011-1-19
pubmed:abstractText
Combining extant datasets with differing outcome measures, an economical method to generate evidence guiding older adults' cancer care, may introduce heterogeneity leading to invalid study results. We recently conducted a study combining extant datasets from five oncology nurse-directed clinical trials (parent studies) using norm-based scoring to standardize the differing outcome measures. The purpose of this article is to describe and analyze our methods in the recently completed study. Despite addressing and controlling for heterogeneity, our analysis found statistically significant heterogeneity (p < 0.0001) in temporal trends among the five parent studies. We concluded that assessing heterogeneity in combined extant datasets with differing outcome measures is important to ensure similar magnitude and direction of findings across parent studies. Future research should include investigating reasons for heterogeneity to generate hypotheses about subgroup differences or differing measurement domains that may have an impact on outcomes.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1940-4921
pubmed:author
pubmed:copyrightInfo
Copyright 2011, SLACK Incorporated.
pubmed:issnType
Print
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
36-46
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Combining extant datasets with differing outcome measures across studies of older adults after cancer surgery.
pubmed:affiliation
New York University College of Nursing, New York, NY 10003, USA. janet.vancleave@nyu.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural, Validation Studies