| Literature DB >> 21347810 |
Sima P Porten1, Matthew R Cooperberg, Badrinath R Konety, Peter R Carroll.
Abstract
INTRODUCTION: Although randomized controlled trials (RCTs) remain the gold standard for determining evidence-based clinical practices, large disease registries that enroll large numbers of patients have become paramount as a relatively cost-effective additional tool.Entities:
Mesh:
Year: 2011 PMID: 21347810 PMCID: PMC3099175 DOI: 10.1007/s00345-011-0658-3
Source DB: PubMed Journal: World J Urol ISSN: 0724-4983 Impact factor: 4.226
Specialized classifications of randomized controlled trials
| Type | Description | Strengths | Limitations |
|---|---|---|---|
| Cluster | Randomization of subjects as a group rather than on individual basis | Can study interventions that cannot be directed toward selected individuals Can control for contamination across individuals (i.e., when one individual’s behavior can influence another’s) | Needs more subjects to reach statistical power than standard RCT |
| Explanatory | Individual randomization of very selective subjects in a highly controlled setting | Useful to test efficacy (i.e., whether an intervention causes a specific biologic response) Patients blinded Excellent internal validity Good for acute disease processes | External validity and applicability to clinical practice is limited due to subject selection |
| Pragmatic | Individual randomization of non-selective group of patients in a regular clinical setting | Useful to test effectiveness of an intervention in everyday practice Good for chronic disease processes and complex interventions Excellent external validity and directly applicable to clinical practice | Patients unblinded Internal validity limited due to broad inclusion criteria |
| Expertise-based | Individual randomization of subjects to an expertise in the intervention in question | Useful when intervention is non-pharmacologic (i.e., surgical procedures) | External validity limited to only those patients receiving care from a physician with expertise skills |
National registries in the United States used commonly in prostate cancer research
| Database | Description |
|---|---|
| CaPSURE | Community practice-based longitudinal data from 31 sites as reported by urologists and patients |
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| CPDR | Longitudinal data on prostate cancer patients treated in the military health care system as reported by medical practitioners (urologists, medical/radiation oncologists) |
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| Medicare | Population-based data on insurance claims for covered health services for eligible US persons over 65 years old |
| NIS | A cross-sectional database that is part of HCUP which collects information on over 8 million hospital stays annually |
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| PCOS | Cross-sectional, population-based (SEER) data collected from patient chart abstraction |
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| PROST-QA | Longitudinal data collected from prostate cancer patients and spouses at 9 US academic medical centers on prostate cancer treatment outcomes |
| SEARCH | Longitudinal data on men who underwent radical prostatectomy at 4 VA hospitals and 1 military center |
| SEER | Population-based, longitudinal data collected on approximately 28% of all US cancer patients, including cancer staging |
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| SEER-Medicare | Linkage of two of the largest US population-based data sources |
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CaPSURE Cancer of the Prostate Strategic Urologic Research Endeavor
CPDR Center for Prostate Disease Research
HCUP Healthcare Cost and Utilization Project
NIS Nationwide Inpatient Sample
PCOS Prostate Cancer Outcomes Study
PROST-QA The Prostate Cancer Outcomes and Satisfaction with Treatment Quality Assessment
SEARCH Shared Equal Access Regional Cancer Hospital
SEER Surveillance Epidemiology and End Results
VA Veterans Affairs