A meta-analysis of mandibular intercanine width in treatment and postretention.
The meta-analysis technique of literature review was applied to a total of 26 previous studies to assess the longitudinal stability of postretention mandibular intercanine width. Weighted averages and standard deviations for the means of 1,233 subjects were compared for linear changes in intercanine transverse dimensions during treatment (T1), immediately after treatment (T2), and after removal of all retention (T3). Net change was defined as the difference between means at T3 and T1. Dimensional changes were also evaluated on the basis of patient pretreatment Angle classification, extraction, and nonextraction treatment modalities of each group. Paired two-tail t-tests were performed between T3 and T1 means on all groups at the a priori level of significance set at a < or = 0.05. Statistically significant differences were observed for the following groups: all patients; nonextraction; extraction; Class I; Class I extraction; Class II extraction; and, Class I Division 1 nonextraction. The findings of this study indicate that regardless of patient diagnostic and treatment modalities, mandibular intercanine width tends to expand during treatment on the order of one to two millimeters, and to contract postretention to approximately the original dimension. While statistically significant differences could be demonstrated within various groups, the magnitudes of the differences were not considered clinically important.
Burke
S P
SP
University of Louisville School of Dentistry, Kentucky 40292, USA. amsilv01@ulkyvm.louisville.edu
Silveira
A M
AM
Goldsmith
L J
LJ
Yancey
J M
JM
Van Stewart
A
A
Scarfe
W C
WC
D003724:Dental Arch / Q000473:pathology*; D006801:Humans; D008310:Malocclusion / Q000473:pathology* / Q000628:therapy; D008334:Mandible / Q000473:pathology*; D009971:Orthodontics, Corrective / Q000379:methods*; D010043:Outcome and Process Assessment, Health Care; D012008:Recurrence; D014081:Tooth Extraction / Q000706:statistics & numerical data