Trial no.:
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PACTR201901895954408 |
Date of Approval:
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23/01/2019 |
Trial Status:
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Registered in accordance with WHO and ICMJE standards |
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TRIAL DESCRIPTION |
Public title
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Evaluation of Digital smile design FOR CLOSURE OF maxillary median diastema with porcelain laminate veneers (A randomized controlled clinical trial(
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Official scientific title |
Evaluation of Digital smile design FOR CLOSURE OF maxillary median diastema with porcelain laminate veneers
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Brief summary describing the background
and objectives of the trial
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Rehabilitation treatments protocols can clarify any discrepancy identification as well as guide subsequent decisions. Among aberrations in smile esthetics is the presence of diastema. Maxillary median diastema (MMD) is a common esthetic complaint of patients. To ensure the prosthodontic treatment meets the patient’s aesthetic demand, diagnostic wax-up is strongly recommended prior to the definitive treatment. Digital smile design (DSD) seems to be a useful diagnosis tool for dentogingival alterations. Nowadays, computer aided design and computer aided milling technology (CAD/CAM) requires nothing more than few keyboard clicks in order to design and fabricate accurate restorations. This study aims to Clinical evaluation of using digital smile design (DSD) versus conventional wax up technique to close maxillary median diastema (MMD) with ceramic veneers according to Esthetic parameters of Dentofacial analysis, Occlusal analysis and Phonetic analysis and to evaluate invitro the Asymmetry percentage before and after treatment with digital smile design versus conventional wax up smile design to close maxillary median diastema. |
Type of trial |
RCT |
Acronym (If the trial has an acronym then please provide) |
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Disease(s) or condition(s) being studied |
Oral Health |
Sub-Disease(s) or condition(s) being studied |
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Purpose of the trial |
Treatment: Other |
Anticipated trial start date |
02/02/2019 |
Actual trial start date |
02/02/2019 |
Anticipated date of last follow up |
31/07/2020 |
Actual Last follow-up date |
31/07/2020 |
Anticipated target sample size (number of participants) |
36 |
Actual target sample size (number of participants) |
36 |
Recruitment status |
Not yet recruiting |
Publication URL |
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