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ARIC Manuscript Proposal #2150 PC Reviewed: 6/11/13 SC Reviewed: ___Status: A Status: ___Priority: 2 Priority: ___1.a. Full Title: Sickle trait and venous thromboembolism b. Abbreviated Title (Length
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01
Define the research question and objectives of the study.
02
Determine the inclusion and exclusion criteria for participants.
03
Obtain ethical approval from relevant regulatory bodies.
04
Recruit eligible participants and obtain informed consent.
05
Collect baseline data on participants' characteristics and medical history.
06
Follow participants over a specified period of time and collect data on relevant outcomes.
07
Analyze and interpret the data collected.
08
Report the findings in a clear and concise manner.

Who needs prospective study of sickle?

01
Researchers studying sickle cell disease.
02
Healthcare providers looking to improve treatment strategies for sickle cell patients.
03
Public health officials interested in understanding the epidemiology of sickle cell disease.
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A prospective study of sickle is a research design that actively follows individuals with sickle cell disease over time to observe outcomes and gather data on the effects of the disease, treatment options, and quality of life.
Researchers, clinicians, and institutions involved in conducting studies on sickle cell disease are typically required to file a prospective study if they are collecting data that will inform public health, treatment practices, or further research.
Filling out a prospective study of sickle involves submitting a research proposal that outlines the study's objectives, methodology, participant information, consent procedures, and data management plans, to an appropriate review board or regulatory authority.
The purpose of a prospective study of sickle is to improve understanding of sickle cell disease by collecting new data on its progression, treatment effects, and patient experiences to inform healthcare strategies and interventions.
Information that must be reported typically includes study objectives, participant demographics, clinical outcomes, treatment protocols, adverse events, and data analysis methods.
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