This application addresses broad Challenge Area (05) Comparative Effectiveness Research (CER) and specific Challenge Topic, 05-EY-103: Eyes and Vision Systematic Reviews. Comparative effectiveness research is """"""""a rigorous evaluation of the effectiveness and harms of many treatment options available for a given medical condition for a particular set of patients"""""""". Mixed treatment comparison (MTC) meta-analysis is a novel technique attracting considerable interest because of its potential for comparative effectiveness research. It expands the scope of a typical systematic review by comparing the relative benefits and harms among a range of available interventions for a given condition, through synthesizing simultaneously evidence not only within the same trials (""""""""direct evidence"""""""") but also across trials (""""""""indirect evidence""""""""). In doing so, MTC meta-analysis efficiently utilizes existing information and parallels more closely the decisions facing clinicians, patients and policymakers who must choose among a variety of alternative interventions. Working in collaboration with leaders in the field, we propose to assess the comparative effectiveness of multiple medical interventions available for primary open angle glaucoma (POAG) using the state-of-art Bayesian MTC meta-analysis models. POAG poses substantial burdens on patients and health care resources. Utilizing data from existing high quality randomized controlled trials, we will perform MTC meta-analysis and rank multiple medical treatment options for POAG. We will validate the MTC meta-analysis models and assess the impact of publication bias. We will report and disseminate our findings on the comparative effectiveness of medical interventions for POAG, as well as utility and validity of MTC meta-analysis techniques for comparative effectiveness research. By providing evidence on comparative effectiveness of interventions, the outcome of our work will have substantial impact on clinical practice, and influence on development of methodology for comparative effectiveness research. This study will also demonstrate and validate a meta-analytical model for generating comparative effectiveness evidence in an accelerated and practical format, which can be attractive and applied across all health care fields. This application addresses broad Challenge Area (05) Comparative Effectiveness Research (CER) and specific Challenge Topic, 05-EY-103: Eyes and Vision Systematic Reviews.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
NIH Challenge Grants and Partnerships Program (RC1)
Project #
1RC1EY020140-01
Application #
7813060
Study Section
Special Emphasis Panel (ZRG1-HDM-G (58))
Program Officer
Everett, Donald F
Project Start
2009-09-30
Project End
2011-09-29
Budget Start
2009-09-30
Budget End
2010-09-29
Support Year
1
Fiscal Year
2009
Total Cost
$454,142
Indirect Cost
Name
Johns Hopkins University
Department
Internal Medicine/Medicine
Type
Schools of Public Health
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
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Law, Andrew; Lindsley, Kristina; Rouse, Benjamin et al. (2017) Missed opportunity from randomised controlled trials of medical interventions for open-angle glaucoma. Br J Ophthalmol 101:1315-1317
Saldanha, Ian J; Dickersin, Kay; Hutfless, Susan T et al. (2017) Gaps in Current Knowledge and Priorities for Future Research in Dry Eye. Cornea 36:1584-1591
Saldanha, Ian J; Li, Tianjing; Yang, Cui et al. (2017) Clinical trials and systematic reviews addressing similar interventions for the same condition do not consider similar outcomes to be important: a case study in HIV/AIDS. J Clin Epidemiol 84:85-94
Rouse, Benjamin; Chaimani, Anna; Li, Tianjing (2017) Network meta-analysis: an introduction for clinicians. Intern Emerg Med 12:103-111
Li, Tianjing; Lindsley, Kristina; Rouse, Benjamin et al. (2016) Comparative Effectiveness of First-Line Medications for Primary Open-Angle Glaucoma: A Systematic Review and Network Meta-analysis. Ophthalmology 123:129-40
Saldanha, Ian J; Li, Tianjing; Yang, Cui et al. (2016) Social network analysis identified central outcomes for core outcome sets using systematic reviews of HIV/AIDS. J Clin Epidemiol 70:164-75
Rouse, Benjamin; Cipriani, Andrea; Shi, Qiyuan et al. (2016) Network Meta-analysis for Clinical Practice Guidelines: A Case Study on First-Line Medical Therapies for Primary Open-Angle Glaucoma. Ann Intern Med 164:674-82
Li, Tianjing; Lindsley, Kristina; Rouse, Benjamin et al. (2016) Reply. Ophthalmology 123:e66
Li, Tianjing; Vedula, S Swaroop; Hadar, Nira et al. (2015) Innovations in data collection, management, and archiving for systematic reviews. Ann Intern Med 162:287-94

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