A retrospective review of literature was carried out to determine the classification, prevalence, etiology, associated anomalies, clinical implications and treatment options for hypodontia. Many methods of classification have been reported in the literature. Some researchers have classified hypodontia as isolated family form or as an inherited form; others have defined the congenital absence of teeth according to the number of missing teeth and yet classified hypodontia according to the severity of the condition. The prevalence of hypodontia in the primary dentition is found to be very low whereas the occurrence of tooth agenesis varies in the permanent dentition based on ethnic and sex differences. The tooth most commonly found to be missing is the third molar. With regard to the remaining 28 teeth, metaanalysis has revealed that the teeth most commonly affected are the mandibular second premolars, maxillary lateral incisors, maxillary second premolars and the mandibular incisors. From the literature it is evident that the etiology of hypodontia is varied and that genetic, epigenetic and environmental factors may be contributory factors. Tooth anomalies reported in the literature to be associated with hypodontia, include microdontia, canine impaction, taurodontism, transposition and rotation of teeth, and hypoplastic alveolar bone. Researchers have suggested that clinical management of hypodontia requires careful multidisciplinary planning and has financial implications. The suggested members of the team should include general dental practitioners, dental nurses, orthodontists, pediatric dentists, prosthodontists, oral and maxillofacial surgeons, specialist laboratory technicians, clinical psychologists, clinical geneticists, dermatologists, speech and language therapists.

Ellis-van Creveld syndrome (EVC) is a very rare genetic disorder that affects various tissues of ectodermal and mesodermal origin; patients with EVC present with typical oral deficiencies. The affected individuals are quite young at the time of oral evaluation. It is, therefore, important that these individuals are diagnosed and receive dental treatment at an early age for their physiologic and psychosocial well-being. Albeit there are numerous articles penned on the EVC, the treatise from an oral perspective is inadequate, covering only oral exhibitions and the preventive treatments. This article reviews the literature and serves as the first disquisition for oral rehabilitation of an EVC patient utilizing surgical, orthodontic, restorative, and prosthodontic management.

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This within subject clinical experiment assessed oral health impacts before and after Invisalign orthodontic treatment and their relationships with personality characteristics. 50 patients (26 females and 24 males; mean age = 27.62 ± 8.25 years, SE = 1.17, 95% CI = 24.71–29.89 years) were assessed before and after treatment with Invisalign orthodontic treatment. Treatment clinical success was evaluated according defined clinical guidelines. Oral health impacts before and after Invisalign orthodontic treatment were measured via the Oral Health Impact Profile (OHIP). Personality features were measured via the NEO Five-Factor Inventory (NEO-FFI). Probability of α = .05 was utilized to identify significant findings. Females scored less OHIP scores after treatment (had less negative impacts) in comparison to baseline OHIP scores (t = 3.782, df = 25, P = .001, 95% CI of mean difference = 2.750–9.327). Among males, openness scores (R2 = .911, B = 5.235, 95% CI for B = 0.062–10.407, t = 2.601, P = .048) were able to predict OHIP scores before treatment; meanwhile, extraversion (R2 = .959, B = − 8.224, 95% CI for B = − 14.605–1.843, t = − 3.313, P = .021), openness (R2 = .959, B = 21.795, 95% CI for B = 10.737–32.853, t = 5.067, P = .004), and conscientiousness (R2 = .959, B = 10.293, 95% CI for B = 4.796–15.790, t = 4.813, P = .005) scores were useful to predict OHIP scores after treatment (R2 = .959, P < .05). NEO-FFI scores were not useful to predict OHIP scores before or after treatment among females (P > .05). These findings demonstrate that oral health impacts of Invisalign orthodontic treatment and personality profiles contribution to oral health impacts were different between genders.