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Background: Numerous studies in the literature have aimed to evaluate the difficulty level of removing third molars. However, most of these studies have focused on the lower third molars, which can lead to complications. There is a lack of a method to determine the complexity of upper third molar extraction. Therefore, this study's objective was to develop an equation using multiple linear regression to estimate the extraction time of an upper third molar based on its complexity. Methods: This study involved patients enrolled in the Master of Oral Surgery program at the University of Seville. To determine their relationship with surgical time, the researchers analyzed various factors, such as depth, root morphology, and the need for odontosection. They then validated their findings by studying patients treated at Palmaplanas Hospital in Mallorca. Results: The cohort analysis from the University of Seville revealed significant associations between surgical time and the identified factors. A regression equation design was performed to predict the total duration of surgical intervention for wisdom teeth extraction. This equation incorporates several independent variables, represented by Xi, together with a constant term, C, and the corresponding coefficients, Bi, which weight the impact of each variable on the intervention time. The results are as follows: −0.312 (spatial relationship), 0.651 (depth), −0.443 (bone and mucosa integrity), 0.214 (roots), −0.745 (ostectomy), 0.713 (odontosection), and −0.426 (suture). Upon application of the statistical methodology to the Palmaplanas Hospital cohort, a regression coefficient of 0.770 was determined. This indicates a strong correlation between the input data and the estimated surgical time. Conclusions: In conclusion, the proposed formula demonstrates notable validity in predicting the surgical time required to extract upper third molars. [ABSTRACT FROM AUTHOR]

Background Third molar extraction is one of the most common oral surgical procedures globally. This study assessed patients’ knowledge of third molar extraction procedures. Methods A self-administered questionnaire was administered to patients (N=384) of the dental hospital at Imam Abdulrahman bin Faisal University in the eastern province. The questionnaire covered demographic data, knowledge of third molar extraction, and patients’ perception questions. SPSS Version 24 was used for statistical analysis. Chi-square and Fisher’s Exact test were used. P-values less than or equal to 0.05 were considered statistically significant . Results According to the demographical characteristics of the patient who received 3rd molar removal surgery. As per the history of the extraction, 45% had previous 3rd molar extraction experience, whereas 55% had no previous dental surgical experience. There was no significant difference between the groups with the knowledge about the extraction (p-0.187). Patients with no previous history were more aware of the correct time for 3rd molar extraction at 27% vs 19%, respectively (P=0.046*). Patients with a previous history of third molar extraction showed significant results of knowledge in terms of taking medication prior to 3rd molar surgical procedure. Conclusion The patient with previous experience with third molar extraction showed low misconceptions. However, further studies should consider increasing the knowledge and correcting the patients’ perceptions.

There is no current consensus on the parameters that determine the difficulty of mandibular third molar extraction in terms of the time required, which is essential to prevent complications and optimize the time of the intervention. This study aims to obtain, using the mathematical method of multiple linear regression, an equation that allows estimating the extraction time of a lower third molar according to its complexity, as well as to validate this equation in a sample of external wisdom teeth. Methods: A prospective cohort study on a sample of patients of the Master of Oral Surgery of the University of Seville in which multiple linear regression coefficients were calculated with a subsequent validation study of the results in the sample of patients operated in the Hospital Palmaplanas of Mallorca. Results: The regression line obtained after applying the statistical methodology to the cohort of patients from the University of Seville obtained significant dependent variables such as depth, roots, and odontosection. Once applied to the cohort of patients from the Palmaplanas Hospital in Mallorca, a regression coefficient was obtained between the data received and the estimated 0.770. Conclusions: The formula proposed in this article presents significant validity in the prediction of the surgical time of extraction of the lower third molars included. [ABSTRACT FROM AUTHOR]

There is no current consensus on the parameters that determine the difficulty of mandibular third molar extraction in terms of the time required, which is essential to prevent complications and optimize the time of the intervention. This study aims to obtain, using the mathematical method of multiple linear regression, an equation that allows estimating the extraction time of a lower third molar according to its complexity, as well as to validate this equation in a sample of external wisdom teeth. Methods: A prospective cohort study on a sample of patients of the Master of Oral Surgery of the University of Seville in which multiple linear regression coefficients were calculated with a subsequent validation study of the results in the sample of patients operated in the Hospital Palmaplanas of Mallorca. Results: The regression line obtained after applying the statistical methodology to the cohort of patients from the University of Seville obtained significant dependent variables such as depth, roots, and odontosection. Once applied to the cohort of patients from the Palmaplanas Hospital in Mallorca, a regression coefficient was obtained between the data received and the estimated 0.770. Conclusions: The formula proposed in this article presents significant validity in the prediction of the surgical time of extraction of the lower third molars included.

Background: A number of efforts have been made to establish a reliable assessment model for the surgical removal of impacted third molars. Although many such models have been proposed, none is considered universally applicable, and controversy remains. The earlier attempts were based exclusively on radiographic variables, whereas recent evidence is associated with nonradiographic and demographic variables. Purpose: This article aimed to prepare review of the relevant literature to summarize the important indices given till date, tabulating only new indices as old indices are mentioned in almost all text books, their merits and demerits and their specificity and sensitivity (if assessed in the literature). In addition to it, authors also aimed to introduce a new descriptive classification of all indices based on pre- and postoperative assessment and further classify based on clinical, radiographic and demographic factors, surgical technique and time. This article will be of academic and practical help for residents and clinicians. Method: A literature search was conducted in Medline, PubMed, Google Scholar, Science Direct and Cochrane electronic database with keywords—impacted mandibular third molar, difficulty indices, validity of, sensitivity, specificity. No publication year limit was used. The abstracts of the articles were retrieved, reviewed and sorted based on the following inclusion and exclusion criteria. Articles which include a new index, validate difficulty index, compare two or more difficulty indices, specificity and sensitivity of particular index are included. Duplicate articles, articles on complication, flap design, drug study, radiographic relation of inferior alveolar nerve, suturing, classification, only assessing factor affecting difficulty of third molar surgery are not included. Results: Total 39 (36 articles + 3 books) are included. A total of 20 individual indices were found in the literature; each has been described in brief in this review. These indices are also listed in chronological order with their specificity and sensitivity if accessed in the literature. Conclusion: There is a definite need to derive and validate an user-friendly index that could be used for preoperative prediction of difficulty. To the best of our knowledge, this review including all indices till date and classification proposed is the first on this subject. [ABSTRACT FROM AUTHOR]

According to discoursal views on language, variations in textualization strategies are always socio-contextually motivated and never happen at random. The textual forms employed in a text, along with many other discoursal and contextual factors, could certainly affect the readability of the text, making it more or less processable for the same reader. On the basis of these assumptions, the present study set out to examine how our data varied across genres and disciplines in terms of our target textual forms. These forms are as follows: the magnitude of T-unit (MOTU), the degree of embeddedness of the main verb in T-unit (DE), the physical distance between the verb and its satellite elements (PD), the magnitude of the noun phrase appearing before the verb (MOX), and the magnitude of noun phrase appearing after the verb (MOY). Our data consisted of 20 research articles randomly selected from two different disciplines of Biology and Applied Linguistics, to be analyzed in terms of the above-named textual strategies. One way ANOVA and post hoc Tukey tests were used for data analyses. The results revealed cross-generic as well as cross-disciplinary differences in the employment of the above textual forms. These findings were discussed in terms of the academic concepts and discourse on the one hand and the possible effect of the required textual forms on the readability of the text on the other hand.

According to discoursal views on language, variations in textualization strategies are always socio-contextually motivated and never happen at random. The textual forms employed in a text, along with many other discoursal and contextual factors, could certainly affect the readability of the text, making it more or less processable for the same reader. On the basis of these assumptions, the present study set out to examine how our data varied across genres and disciplines in terms of our target textual forms. These forms are as follows: the magnitude of T-unit (MOTU), the degree of embeddedness of the main verb in T-unit (DE), the physical distance between the verb and its satellite elements (PD), the magnitude of the noun phrase appearing before the verb (MOX), and the magnitude of noun phrase appearing after the verb (MOY). Our data consisted of 20 research articles randomly selected from two different disciplines of Biology and Applied Linguistics, to be analyzed in terms of the above-named textual strategies. One way ANOVA and post hoc Tukey tests were used for data analyses. The results revealed cross-generic as well as cross-disciplinary differences in the employment of the above textual forms. These findings were discussed in terms of the academic concepts and discourse on the one hand and the possible effect of the required textual forms on the readability of the text on the other hand.