Navigating through our history in research: An altmetric analysis for publications by the full-time operative dentistry faculty at the Aga Khan University Hospital in the past decade

Objective: To analyse the social dissemination of publications by fulltime faculty at a tertiary care facility. Methods: The retrospective study was conducted at the Aga Khan University Hospital, Karachi, and comprised publication records of the fulltime Operative Dentistry faculty members between July 2011 till July 2021. The search was done on Google Scholar, Altmetric Explorer and PubMed electronic databases. After final screening, all the publications in PubMed-indexed journals, including in vitro studies, randomised controlled trials, original research articles, case reports and letters to the editor, for which the Altmetric Attention Score was available were included. Results: Of the 225 publications identified, 34 (15%) formed the final sample. The cumulative citation count for the publications was 617 and Altmetric Attention Score was 158. There were 16 Facebook mentions and 163 tweets. Conclusion: The social impact of publications by the Operative Dentistry faculty over a decade was not convincing in terms of Altmetric Attention Score

Cochrane systematic reviews in dentistry: An Altmetric and network analysis

Introduction: Cochrane systematic reviews (CSRs) play an important role in evidence-based decision-making. Therefore, the present study aimed to determine the social impact of CSRs in dentistry and the inclusivity and diversity of researchers contributing to one of the largest databases in health care research.Methodology: The Altmetric and bibliometric data for CSRs in dentistry were obtained through Altmetric Explorer and the Dimensions database and were analysed to determine the trends. Furthermore, the correlation between the number of citations and the Altmetric Attention Score (AAS) was identified using Spearman\u27s correlation co-efficient.Results: Mendeley was found to be the most active Altmetric resource, followed by Twitter. The tweets were more popular among the members of the public (65.5%) and had a diverse geographic spread. The co-authorship network analysis revealed an overall dense network of researchers. In the co-citation network analysis, the Journal of Community Dentistry had the greatest influence. Moreover, a weaker correlation was noticed between the citation counts and AAS (rs=0.325; p \u3c0.01).Conclusion:CSRs had a modest social impact in terms of AAS; however, the social network of contributing researchers was diverse and the researchers affiliated with the University of Manchester, UK were found to have the strongest link

Cost-effectiveness analysis of regenerative endodontics versus MTA apexification

Introduction: With the introduction of stem cell engineering in dentistry, regenerative endodontics has emerged as a potential alternative to mineral trioxide aggregate (MTA) apexification in the management of necrotic immature permanent teeth. However, the utility of this modality in terms of cost-effectiveness has not yet been established. Therefore, we performed cost-effectiveness analysis to determine the dominant treatment modality that would influence decision making from the private payer perspective. Methods: A Markov model was constructed with a necrotic immature permanent tooth in a 7-y-old patient, followed over the lifetime using TreeAge Pro Healthcare 2022. Transition probabilities were estimated based on the existing literature. Costs were estimated based on United States health care, and cost-effectiveness was determined using Monte Carlo microsimulations. The model was validated internally by sensitivity analyses, and face validation was performed by an experienced endodontist and health economist. Results: In the base-case scenario, regenerative endodontics did not turn out to be a dominant treatment option as it was associated with an additional cost of USD$1,012 and fewer retained tooth-years (15.48 y). Likewise, in the probabilistic sensitivity analysis, regenerative endodontics was again dominated by apexification against different willingness-to-pay values. Conclusion: Based on current evidence, regenerative endodontic treatment was not cost-effective compared with apexification in the management of necrotic immature permanent teeth over an individual\u27s lifetime. Knowledge transfer statement: The study provides valuable insight regarding the cost valuation and cost-efficacy of regenerative endodontic treatment versus apexification in the management of necrotic immature permanent teeth, as this would aid in effective clinical decision making, allowing for the functional allocation of resource

Oral mycotic infection caused by a rare verticillium species - a case report

Background: Deep-seated fungal infections of the oral cavity present a diagnostic challenge as the clinical presentation is usually aggressive leading to misdiagnosis of malignancy. Nevertheless, the species of fungi responsible for such diseases in immunocompromised individuals are varied thus, further complicating the diagnosis. Case presentation: Presented below is a case regarding the diagnosis and management of deep mycotic infection of the oral cavity caused by a fungus that very rarely causes disease in humans, the Verticillium species. Conclusions: The case highlights the fact that rare pathogens should also be considered in the differential diagnosis, especially in patients with debilitating conditions like uncontrolled diabetes. Likewise, histopathological evaluation and microbiological investigations are of paramount importance and remain the gold standard to reach a definitive diagnosi

Restoration of endodontically treated teeth: A cost-effectiveness analysis of an endocrown versus a complete crown

Statement of problem: Endocrowns have been proposed as an alternative to post-and-core retained complete crowns for structurally compromised endodontically treated teeth. However, an analysis of their cost-effectiveness is lacking.Purpose: The purpose of this simulation study was to assess the cost-effectiveness of an endocrown versus a complete crown as a definitive restoration for structurally compromised endodontically treated teeth.Material and methods: A Markov simulation model was constructed with endodontically treated permanent molar teeth using TreeAge Pro Healthcare (2023) as a starting point for an 18-year-old patient. Costs were extrapolated from the ADA dental survey based on the United States healthcare, and the probabilities of transition were derived from existing literature. The cost-effectiveness was determined by using Monte Carlo microsimulations. A sensitivity analysis was performed to validate the model internally, whereas an experienced health expert and an endodontist performed the face validation.Results: The complete crown was associated with additional health benefits (1.36 and 0.9 more years over a period of 5 years and lifetime, respectively) but at an increased cost (an additional 1143 USD and 1535 USD over a period of 5 years and lifetime, respectively). Moreover, the endocrown was cost-effective at lower Willingness-To-Pay (WTP) values (92% acceptable at 250 USD for 5 years and 73% acceptable at 250 USD for the lifetime of an individual), whereas at increased WTP threshold values, the complete crown was a cost-effective restoration (98.6% acceptable at 1250 USD for 5 years and 99.5% acceptable at 8000 USD over an individual\u27s lifetime).Conclusions: The endocrown was a cost-effective restorative option at lower WTP values. However, at an increased WTP threshold, the complete crown became a more cost-effective restoration

Leveraging Large Language Models in the delivery of post-operative dental care: A comparison between an embedded GPT model and ChatGPT

Objective: This study underscores the transformative role of Artificial Intelligence (AI) in healthcare, particularly the promising applications of Large Language Models (LLMs) in the delivery of post-operative dental care. The aim is to evaluate the performance of an embedded GPT model and its comparison with ChatGPT-3.5 turbo. The assessment focuses on aspects like response accuracy, clarity, relevance, and up-to-date knowledge in addressing patient concerns and facilitating informed decision-making.Material and methods: An embedded GPT model, employing GPT-3.5-16k, was crafted via GPT-trainer to answer postoperative questions in four dental specialties including Operative Dentistry & Endodontics, Periodontics, Oral & Maxillofacial Surgery, and Prosthodontics. The generated responses were validated by thirty-six dental experts, nine from each specialty, employing a Likert scale, providing comprehensive insights into the embedded GPT model\u27s performance and its comparison with GPT3.5 turbo. For content validation, a quantitative Content Validity Index (CVI) was used. The CVI was calculated both at the item level (I-CVI) and scale level (S-CVI/Ave). To adjust I-CVI for chance agreement, a modified kappa statistic (K*) was computed.Results: The overall content validity of responses generated via embedded GPT model and ChatGPT was 65.62% and 61.87% respectively. Moreover, the embedded GPT model revealed a superior performance surpassing ChatGPT with an accuracy of 62.5% and clarity of 72.5%. In contrast, the responses generated via ChatGPT achieved slightly lower scores, with an accuracy of 52.5% and clarity of 67.5%. However, both models performed equally well in terms of relevance and up-to-date knowledge.Conclusion: In conclusion, embedded GPT model showed better results as compared to ChatGPT in providing post-operative dental care emphasizing the benefits of embedding and prompt engineering, paving the way for future advancements in healthcare applications

Mapping institutional interventions to mitigate suicides : A study of causes and prevention

Suicide is an extreme, tragic act and an important subject for social inquiry. It is the rising public health issue prevalent in the Himalayan range of Pakistan. The young and educated population is more prone to suicide instead of using this prime phase of age productively. Unfortunately, the suicide problem remains unaddressed, the causes remain undefined, solutions are not in the works, and in situations when others play a part in driving someone to commit suicide, no one is being held accountable. This study is aimed at uncovering the root causes of suicide and proposing some preventive measures to mitigate the problem. Our team studied three years’ worth of data (2017– 2019) on suicides from the office of Human Rights Commission of Pakistan, Chitral. In addition, we conducted semi-structured interviews of different stakeholders, including family members, neighbors, lawyers, and police personnel. The findings revealed that extended family pressures, the power dynamic between sustainers and dependents, family conflicts, and inheritance cases were the major causes of the domestic violence that preceded suicide attempts. Mental health issues, forced marriages, academic competitions, and flawed litigation processes were also among the leading causes of suicide. Awareness through education and religious sermons, strengthening healthcare organizations, restructuring family systems, establishing police complaint centers, effective prosecution processes, and imparting lifesaving skills have been identified as measures to prevent suicide. This study has theoretical and practical implications, as it adds certain novel variables regarding the causes and solutions of suicide to the existing body of literature and guides public authorities to strengthen institutions to intervene effectively