Yahya Aljabri

Yahya Aljabri

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 December 2023 in Medicina
Verified
Journal Article
Open access
PDF file
SJSaurabh Jain
Saurabh Jain
Mohammed SayedMohammed Sayed
Mohammed Sayed
WIWael Ibraheem
Wael Ibraheem
AAAbrar A. Ageeli
Abrar A. Ageeli
SGSumir Gandhi
Sumir Gandhi
YYahya Aljabri
Yahya Aljabri
Background and Objectives: The present systematic review and meta-analysis undertake a comparison of studies that examine the accuracy of robot-assisted dental implant placement in relation to static computer-assisted implant surgery (SCAIS), dynamic computer-assisted implant surgery (DCAIS), and freehand procedures. This study aims to provide a comprehensive understanding of the precision of robot-assisted dental implant placement and its comparative efficacy in relation to other placement techniques. Methods: The guidelines recommended by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were used to organize and compose this review. Four electronic databases (PubMed, Web of Science, Scopus, and Cochrane) were systematically searched for pertinent articles. Articles were selected following the inclusion and exclusion criteria. Qualitative and quantitative analyses of the selected articles were performed. Results: The initial electronic search resulted in 1087 hits. Based on the inclusion and exclusion criteria, five articles were selected for qualitative analysis, out of which three were considered for quantitative analysis. Three parameters were considered for accuracy evaluation (angular, coronal, and apical deviation). The mean angular deviation was −1.22 degrees (95% CI, −1.06–−1.39), the mean coronal deviation was −0.15 mm (95% CI, −0.24–−0.07), and the mean apical deviation was −0.19 mm (95% CI, −0.27–−0.10). Conclusions: The robotic implant system was found to have significantly lower angular deviations and insignificantly lower coronal and apical deviations compared to DCAIS. Within the limitations of this review, it can be concluded that robot-assisted implant placement in resin models permits higher accuracy compared to DCAIS and SCAIS systems. However, due to the limited number of comparative studies with high heterogeneity, the findings of this review should be interpreted with caution. Further research is necessary to confirm the clinical application of robotics in implant surgery.

25 January 2024 in Medicina
Verified
Journal Article
Open access
PDF file
HFHammam Fageeh
Hammam Fageeh
HFHytham N. Fageeh
Hytham N. Fageeh
ABAshok Bhati
Ashok Bhati
ATAbdulaziz Yahay Thubab
Abdulaziz Yahay Thubab
HSHaitham Mohammed Hassan Sharrahi
Haitham Mohammed Hassan Sharrahi
FAFaisal Ibrahim Alotaibi
Faisal Ibrahim Alotaibi
Background and Objectives: Gingival recession results in adverse aesthetics and root sensitivity, and there is a need to treat and prevent its further progression. To overcome these problems, various advances have been made by clinicians in treating gingival recession based on the type of gingival recession. Miller’s classification has been used for a long time to classify the type of recession. However, certain limitations have been found with use of Miller’s classification such as a lack of clarity in the method for measuring soft and hard tissue loss in the interproximal area. Cairo classification was proposed to overcome limitations of Miller’s classification to classify gingival recession. Cairo’s classification is a treatment-oriented classification based on buccal and interproximal attachment loss. Therefore, the study was conducted to assess and compare the reliability of Miller’s and Cairo’s classifications in determining gingival recession. Material and methods: A total of 220 buccal gingival recession defects were included in the study based on the inclusion and exclusion criteria. Four examiners were included in the study. Two examiners classified the recession defects according to Miller’s classification and the other two examiners classified recession defects according to Cairo’s classification at baseline and at a 1-week interval. Statistical analysis was conducted using SPSS software version 25.0 using Cohen’s kappa correlation coefficient and Chi-square test statistics to determine the intra- and inter-rater agreement among the examiners for the two gingival recession classification systems. A p value of <0.05 was considered statistically significant. Results: The intra-rater agreement for Cairo’s classification was 0.86 and 0.82, whereas for Miller’s classification, it was found to be 0.68. The inter-rater reliability agreement for Cairo’s classification was 0.82 and 0.8, whereas for the Miller’s classification, it was 0.56 and 0.67. Conclusions: Within the limitations of the study, it was found that Cairo’s classification is clearer and more reliable than Miller’s classification in the assessment of gingival recession.

15 November 2023 in Applied Sciences
Verified
Journal Article
Open access
PDF file
WIWael Ibraheem
Wael Ibraheem
ABAshok Bhati
Ashok Bhati
MAManar Ali Alhomood
Manar Ali Alhomood
OAOmaima Ahmed Allayl
Omaima Ahmed Allayl
AQAlzhouor Ali Qsadi
Alzhouor Ali Qsadi
YYahya Aljabri
Yahya Aljabri
Background: Atherosclerosis is the primary cause of cardiovascular death, wherein plaque accumulates in the carotid artery, resulting in the formation of carotid artery calcification (CAC). Chronic infections emulate atherosclerosis development. Periodontitis is a chronic disease commenced by biofilm aggregation on the surface of teeth, which then progresses via deregulated local and inflammatory immune responses. Aim: The aim of this study was to determine the prevalence of calcification in periodontitis patients and to determine if there is a relationship between carotid calcification and periodontitis with risk factors such as age, gender, hypertension, diabetes, smoking. Methods: The data and panoramic radiographs (PR) of 3000 patients from January 2017 to February 2022 were examined. On the basis of the inclusion and exclusion criteria, 500 patients were selected for determining carotid calcification. Non-periodontitis patients, patients <40 years of age, patients without any medical data or incomplete medical records and cases where the OPG was not clear were not included in this study. The data were analyzed using R and GraphPad Prism software version 4.1.2 and Microsoft Excel Worksheet Office 2019. Chi-square tests were used to check the dependency among the categorical variables. Mann–Whitney U-tests were used to compare the distribution of the variables across the groups, and p-values < 0.05 were interpreted as statistically significant. Result: Twenty-five (5%) patients showed carotid calcification. Carotid calcification was seen more in females than in males, which was statistically significant. Gender, percentage of alveolar bone loss and periodontal risk were found to be statistically significantly related to carotid artery calcification. Factors such as age, diabetes and hypertension were found to be statistically nonsignificant. Conclusions: More periodontal destruction was present in the CAC patients. Within the limitations of this study, it can be concluded that CAC is associated with periodontitis. Early recognition of carotid calcification is important, and patients in whom carotid artery calcification is observed via their PR should be referred to medical practitioners for further investigation and treatment care.