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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedHoriguchi M, Tian L, Uno H
Quantification of long-term survival benefit in a comparative oncology clinical study.
The authors discuss the quantification of long-term survival benefit in a comparative oncology clinical study. They assert that from the perspective of cost-risk-benefit, using a long-term survival benefit criterion for selecting anticancer therapies may be more appropriate.
AHRQ-funded; HS022193.
Citation: Horiguchi M, Tian L, Uno H .
Quantification of long-term survival benefit in a comparative oncology clinical study.
JAMA Oncol 2018 Jun;4(6):881-82. doi: 10.1001/jamaoncol.2018.0518..
Keywords: Cancer, Comparative Effectiveness, Outcomes, Research Methodologies
Uno H, Claggett B, Tian L
Adding a new analytical procedure with clinical interpretation in the tool box of survival analysis.
The authors discuss the measures that are routinely used to quantify survival time in long-term comparative oncology trials. They discuss progression-free survival or overall survival time which is often the study endpoint, as well as the hazard ratio (HR) which has been utilized to quantify the between-group difference in survival analysis.
AHRQ-funded; HS022193.
Citation: Uno H, Claggett B, Tian L .
Adding a new analytical procedure with clinical interpretation in the tool box of survival analysis.
Ann Oncol 2018 May;29(5):1092-94. doi: 10.1093/annonc/mdy109..
Keywords: Research Methodologies, Cancer
Boland MR, Miotto R, Gao J
Feasibility of feature-based indexing, clustering, and search of clinical trials. A case study of breast cancer trials from ClinicalTrials.gov.
Searching through a large collection of clinical trials using existing technology is a daunting task. This study extracted 1,437 eligibility features from 80 stage III breast cancer clinical trials and found that it is feasible to develop feature-based indexing and clustering methods for clinical trials to identify trials with similar target populations and to improve trial search efficiency.
AHRQ-funded; HS019853.
Citation: Boland MR, Miotto R, Gao J .
Feasibility of feature-based indexing, clustering, and search of clinical trials. A case study of breast cancer trials from ClinicalTrials.gov.
Methods Inf Med. 2013;52(5):382-94. doi: 10.3414/ME12-01-0092..
Keywords: Cancer: Breast Cancer, Cancer, Research Methodologies