Objective: With a combined bibliometric and altmetric study, we aimed to provide a visually detailed perspective on palliative care, which is attracting increasing attention from academia and society. We also evaluated the relationship between supporting and contrasting citation counts and the altmetric attention score (AAS) for the first time in the literature. Methods: Web of Science (WoS) database and Altmetric.com website were used to create Top100 (T100) citation and altmetric lists. Supporting and contrasting citations were found using Scite.ai database. Articles in both lists, published between 1975-2021, were analyzed in terms of study type, topic, first author, publication year, citation count, AAS, scite score, supporting and contrasting citation counts. Impact factor (IF), quartile of journal and journal citation indicator (JCI) were also examined. Results: A search of "Palliative care" in WoS yielded a total of 50.674 articles. A significant correlation was found between AAS and citation counts (p=0.001, r=0.328) in T100 citation list, and AAS and contrasting citations in T100 altmetric list (p=0,024, r=0,225). There was no statistically significant difference between IF, JCI and Q categories in both lists. Topic "PC for non-oncological diseases" were at the top of both lists. The USA, UK and Canada were countries with the most articles in T100 citation list. Conclusions: Palliative care articles that attract the attention of the academia also resonate on social media. Since AAS can be manipulated, it would be beneficial to use altmetric analysis in combination with bibliometric analysis rather than alone to formulate new policies on palliative care.
目的:通过文献计量学和替代计量学相结合的研究，我们旨在提供一个视觉上详细的姑息治疗视角，这越来越受到学术界和社会的关注。我们还首次在文献中评估了支持引用数和对比引用数与替代注意评分(AAS)之间的关系。方法:利用Web of Science (WoS)数据库和Altmetric.com网站建立Top100 (T100)引文和altmetric榜单。使用Scite找到支持和对比的引用。人工智能数据库。这两个列表中发表于1975-2021年间的文章，从研究类型、主题、第一作者、出版年份、引文数量、AAS、引文得分、支持和对比引文数量等方面进行了分析。研究了影响因子(IF)、期刊四分位数和期刊引用指标(JCI)。结果:在WoS中检索“姑息治疗”，共检索到50.674篇。在T100引文表中，AAS与被引频次呈显著相关(p=0.001, r=0.328);在T100替代计量表中，AAS与对比被引频次呈显著相关(p= 0.024, r= 0.225)。两个表中IF、JCI、Q类之间差异无统计学意义。“非肿瘤性疾病的PC”这一主题在两个列表中都名列前茅。美国、英国和加拿大是T100被引用次数最多的国家。结论:引起学术界关注的姑息治疗文章在社交媒体上也会产生共鸣。由于原子吸收光谱是可以操纵的，因此将替代分析与文献计量分析相结合，而不是单独使用，将有利于制定新的姑息治疗政策。
{"title":"Academic and online attention to palliative care: A bibliometric and altmetric perspective","authors":"Bahar Bektan Kanat","doi":"10.58600/eurjther1761","DOIUrl":"https://doi.org/10.58600/eurjther1761","url":null,"abstract":"Objective: With a combined bibliometric and altmetric study, we aimed to provide a visually detailed perspective on palliative care, which is attracting increasing attention from academia and society. We also evaluated the relationship between supporting and contrasting citation counts and the altmetric attention score (AAS) for the first time in the literature.\u0000Methods: Web of Science (WoS) database and Altmetric.com website were used to create Top100 (T100) citation and altmetric lists. Supporting and contrasting citations were found using Scite.ai database. Articles in both lists, published between 1975-2021, were analyzed in terms of study type, topic, first author, publication year, citation count, AAS, scite score, supporting and contrasting citation counts. Impact factor (IF), quartile of journal and journal citation indicator (JCI) were also examined.\u0000Results: A search of \"Palliative care\" in WoS yielded a total of 50.674 articles. A significant correlation was found between AAS and citation counts (p=0.001, r=0.328) in T100 citation list, and AAS and contrasting citations in T100 altmetric list (p=0,024, r=0,225). There was no statistically significant difference between IF, JCI and Q categories in both lists. Topic \"PC for non-oncological diseases\" were at the top of both lists. The USA, UK and Canada were countries with the most articles in T100 citation list.\u0000Conclusions: Palliative care articles that attract the attention of the academia also resonate on social media. Since AAS can be manipulated, it would be beneficial to use altmetric analysis in combination with bibliometric analysis rather than alone to formulate new policies on palliative care.","PeriodicalId":42642,"journal":{"name":"European Journal of Therapeutics","volume":"112 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77744980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dear Editor, Recently, studies and research have focused on the use of artificial intelligence in medical science [1,2]. It's probable that the healthcare industry, especially radiology, is a step or two ahead of the curve when using convolutional neural networks in clinical practice. The number of investigations into the use of radiography in daily life continues to grow, as does the number of accessible methods that have already impacted the issue of patient care, both of which are on the rise. In addition, there is a whole area devoted to Medical Imaging using artificial intelligence (AI). Additionally, a dedicated domain has emerged, focusing on the synergy between artificial intelligence and Medical Imaging, particularly in the context of diagnosing Maxillofacial Disorders. The diagnosis is made based on the patient's medical history, linked testing, and other susceptible variables, all known to be risk factors for human memory retention. Artificial intelligence from human professionals performs much better than human specialists when using primary health data [3]. A study indicated that by using artificial intelligence in conjunction with clinical diagnostics, the accuracy and efficiency of diagnosis might be improved significantly. Recently, several illnesses have been diagnosed using machine learning techniques, including tumors, cancer, and metastases, among others. These algorithms demonstrated excellent reliability in distinguishing periapical cysts from keratocystic odontogenic tumors when manually created parameters [4] were used in their development. When these approaches, such as convolutional neural network (CNN), were employed to examine the cytological pictures gathered, they revealed an inadequate performance error in identifying malignant lesions of the mouth. Although these results are hopeful, existing artificial intelligence algorithms for diagnosing oral and maxillofacial lesions predominantly rely only on a single kind of data, cytopathological reports. Using models that include the patient's medical history is critical to do a very exact analysis [5]. Deep learning (DL) and CNN have made significant contributions to artificial intelligence in caries and endodontics because of their capacity to automate waste categorization and classification. To classify radiographs or photographs, several criteria, including comparable qualities, are used to separate them into many discontinuous sections [6]. This process results in predictable data being generated from unpredictable data. Using understanding network (U-Net), the DL categorizes the cone beam computed tomography (CBCT) vertices into "lesions," "tooth structures," "bones," "restorative materials," and "backgrounds," with the findings being comparable to the diagnosis of total lesions. Apical is a company that supplies doctors [7]. Distal caries lesions may also be detected by DL using imaging data [8]. The clinical signs and symptoms that the patient
{"title":"Artificial Intelligence in the Diagnosis of Maxillofacial Disorders","authors":"M. Bolbolian, M. Tofangchiha","doi":"10.58600/eurjther1806","DOIUrl":"https://doi.org/10.58600/eurjther1806","url":null,"abstract":"Dear Editor,\u0000Recently, studies and research have focused on the use of artificial intelligence in medical science [1,2]. It's probable that the healthcare industry, especially radiology, is a step or two ahead of the curve when using convolutional neural networks in clinical practice. The number of investigations into the use of radiography in daily life continues to grow, as does the number of accessible methods that have already impacted the issue of patient care, both of which are on the rise. In addition, there is a whole area devoted to Medical Imaging using artificial intelligence (AI). Additionally, a dedicated domain has emerged, focusing on the synergy between artificial intelligence and Medical Imaging, particularly in the context of diagnosing Maxillofacial Disorders.\u0000The diagnosis is made based on the patient's medical history, linked testing, and other susceptible variables, all known to be risk factors for human memory retention. Artificial intelligence from human professionals performs much better than human specialists when using primary health data [3]. A study indicated that by using artificial intelligence in conjunction with clinical diagnostics, the accuracy and efficiency of diagnosis might be improved significantly. \u0000Recently, several illnesses have been diagnosed using machine learning techniques, including tumors, cancer, and metastases, among others. These algorithms demonstrated excellent reliability in distinguishing periapical cysts from keratocystic odontogenic tumors when manually created parameters [4] were used in their development. When these approaches, such as convolutional neural network (CNN), were employed to examine the cytological pictures gathered, they revealed an inadequate performance error in identifying malignant lesions of the mouth. Although these results are hopeful, existing artificial intelligence algorithms for diagnosing oral and maxillofacial lesions predominantly rely only on a single kind of data, cytopathological reports. Using models that include the patient's medical history is critical to do a very exact analysis [5]. \u0000Deep learning (DL) and CNN have made significant contributions to artificial intelligence in caries and endodontics because of their capacity to automate waste categorization and classification. To classify radiographs or photographs, several criteria, including comparable qualities, are used to separate them into many discontinuous sections [6]. This process results in predictable data being generated from unpredictable data. Using understanding network (U-Net), the DL categorizes the cone beam computed tomography (CBCT) vertices into \"lesions,\" \"tooth structures,\" \"bones,\" \"restorative materials,\" and \"backgrounds,\" with the findings being comparable to the diagnosis of total lesions. Apical is a company that supplies doctors [7]. Distal caries lesions may also be detected by DL using imaging data [8]. \u0000The clinical signs and symptoms that the patient ","PeriodicalId":42642,"journal":{"name":"European Journal of Therapeutics","volume":"76 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90147452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Grillo, Alexandre Meireles Borba, Mariana Aparecida Brozoski Aparecida Brozoski, Antônio Augusto Campanha, Y. Balel, Andréia Aparecida Traina, M. G. Naclério-Homem
Objective: Orthodontic aligners have become one of the most requested treatments by patients. This study evaluated maxillofacial surgeons´ experience of using orthodontic aligners in preparation for orthognathic surgery. Methods: A survey using an online platform was used to identify some key points about maxillofacial surgeons´ prior experiences with orthodontic aligners in the context of orthognathic surgery. Participants were asked to discuss their experience with orthognathic surgery preparation through orthodontic aligners. Results: In total, 396 surveys were sent, the sample consisted of 92 respondents. The experience of maxillofacial surgeons on this topic is not very large, some of them (45.65%) have not had contact with orthodontic aligners. Advantages include patient convenience and easy postoperative hygiene, while some disadvantages include inefficient postoperative occlusal stability and intermaxillary block and some difficulties in using elastic bands. A very helpful explanation to solve some problems was highlighted by the surgeons, including a more detailed conference on orthodontic preparation. Maxillary segmentation must be avoided according to the majority of surgeons. Conclusion: The results of the study indicate that not all cases are suitable for orthognathic surgery prepared with orthodontic aligners. While orthodontic aligners offer advantages such as patient-friendliness and improved hygiene, the lower number of surgeons reporting these benefits compared to the disadvantages underscores challenges related to postoperative occlusal stability and limitations with intermaxillary blocks and elastic band usage.
{"title":"Assessing the Pros and Cons of Performing Orthognathic Surgery in Patients Undergoing Orthodontic Aligner Treatment","authors":"R. Grillo, Alexandre Meireles Borba, Mariana Aparecida Brozoski Aparecida Brozoski, Antônio Augusto Campanha, Y. Balel, Andréia Aparecida Traina, M. G. Naclério-Homem","doi":"10.58600/eurjther1778","DOIUrl":"https://doi.org/10.58600/eurjther1778","url":null,"abstract":"Objective: Orthodontic aligners have become one of the most requested treatments by patients. This study evaluated maxillofacial surgeons´ experience of using orthodontic aligners in preparation for orthognathic surgery. \u0000Methods: A survey using an online platform was used to identify some key points about maxillofacial surgeons´ prior experiences with orthodontic aligners in the context of orthognathic surgery. Participants were asked to discuss their experience with orthognathic surgery preparation through orthodontic aligners. \u0000Results: In total, 396 surveys were sent, the sample consisted of 92 respondents. The experience of maxillofacial surgeons on this topic is not very large, some of them (45.65%) have not had contact with orthodontic aligners. Advantages include patient convenience and easy postoperative hygiene, while some disadvantages include inefficient postoperative occlusal stability and intermaxillary block and some difficulties in using elastic bands. A very helpful explanation to solve some problems was highlighted by the surgeons, including a more detailed conference on orthodontic preparation. Maxillary segmentation must be avoided according to the majority of surgeons. \u0000Conclusion: The results of the study indicate that not all cases are suitable for orthognathic surgery prepared with orthodontic aligners. While orthodontic aligners offer advantages such as patient-friendliness and improved hygiene, the lower number of surgeons reporting these benefits compared to the disadvantages underscores challenges related to postoperative occlusal stability and limitations with intermaxillary blocks and elastic band usage.","PeriodicalId":42642,"journal":{"name":"European Journal of Therapeutics","volume":"11 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88165297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Taşdemir, C. Öztürk, Rukiye Çiftçi, Ömer Faruk Cihan
Objective: The anatomical features of the renal arteries are important for the diagnosis of various diseases affecting the kidneys and the renal arteries (RA), as well as for preoperative planning of surgical interventions. The objective of this study was to conduct a comprehensive analysis of the morphological and morphometric parameters of renal arteries specific to the Turkish population. Methods: RA diameter, angle, and distance to other vessels were performed on computed tomography angiography images of 299 patients (156 women, 143 men), considering their branching variations and the level of origin from the abdominal aorta. Results: The frequency of RA variations was 16.5%. The right RA was observed to arise between the lower T12 level and middle L4 level, most commonly (25.39%) at the L1-2 disc level. The left RA was found to originate between the upper T12 level and lower L3 level, mostly (27.44%) at the L1-2 disc level. The mean diameter of the right RA was 5.49±1.24 mm in females and 6.01±1.69 mm in males, while the mean diameter of the left RA was 5.96±1.44 mm in females and 6.45±1.74 mm in males. The mean exit angle of the right RA from the abdominal aorta was 57.06±17.27° in females and 57.65±16.62° in males, and that of the left RA was 67.05±18.13° in females and 70.37±17.42° in males. The distance of the right RA to the celiac trunk was 3.1±1.29 cm, and its distance to the aortic bifurcation was 9.56±1.52 cm. The distance of the left RA to the celiac trunk was 3.27±1.25 cm, and its distance to the aortic bifurcation was 9.38±1.41 cm. Analysis of the relationship of the study parameters with age showed statistically significant correlations between age and the left RA diameter and between age and the distance of both the right and left renal arteries to the celiac trunk. Conclusion: This study could contribute to the literature on renal artery morphology and morphometry in the Turkish population and provide guidance to clinicians.
{"title":"Morphological and Morphometric Analysis of the Renal Artery Using Computed Tomographic Angiography","authors":"R. Taşdemir, C. Öztürk, Rukiye Çiftçi, Ömer Faruk Cihan","doi":"10.58600/eurjther1769","DOIUrl":"https://doi.org/10.58600/eurjther1769","url":null,"abstract":"Objective: The anatomical features of the renal arteries are important for the diagnosis of various diseases affecting the kidneys and the renal arteries (RA), as well as for preoperative planning of surgical interventions. The objective of this study was to conduct a comprehensive analysis of the morphological and morphometric parameters of renal arteries specific to the Turkish population.\u0000Methods: RA diameter, angle, and distance to other vessels were performed on computed tomography angiography images of 299 patients (156 women, 143 men), considering their branching variations and the level of origin from the abdominal aorta.\u0000Results: The frequency of RA variations was 16.5%. The right RA was observed to arise between the lower T12 level and middle L4 level, most commonly (25.39%) at the L1-2 disc level. The left RA was found to originate between the upper T12 level and lower L3 level, mostly (27.44%) at the L1-2 disc level. The mean diameter of the right RA was 5.49±1.24 mm in females and 6.01±1.69 mm in males, while the mean diameter of the left RA was 5.96±1.44 mm in females and 6.45±1.74 mm in males. The mean exit angle of the right RA from the abdominal aorta was 57.06±17.27° in females and 57.65±16.62° in males, and that of the left RA was 67.05±18.13° in females and 70.37±17.42° in males. The distance of the right RA to the celiac trunk was 3.1±1.29 cm, and its distance to the aortic bifurcation was 9.56±1.52 cm. The distance of the left RA to the celiac trunk was 3.27±1.25 cm, and its distance to the aortic bifurcation was 9.38±1.41 cm. Analysis of the relationship of the study parameters with age showed statistically significant correlations between age and the left RA diameter and between age and the distance of both the right and left renal arteries to the celiac trunk.\u0000Conclusion: This study could contribute to the literature on renal artery morphology and morphometry in the Turkish population and provide guidance to clinicians.","PeriodicalId":42642,"journal":{"name":"European Journal of Therapeutics","volume":"60 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86952567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dear Editors, I have read your editorials with great interest [1,2]. I am interested in sharing my insights concerning the role of artificial intelligence in composing scholarly articles, along with its potential as a collaborative co-author. I extend my heartfelt gratitude for establishing this profoundly valuable platform for discussion. I am aware of the imperative to renew myself academically daily. Perhaps the most exquisite yet arduous facet of academic life resides herein. Sustaining the currency of my domain knowledge, tracking technological advancements, and aligning with the latest research trends often pose formidable challenges. However, these challenges also furnish avenues for continuous self-improvement and exploring topics demanding more profound comprehension. In addition to the facilitation of information access afforded by computers and the internet, artificial intelligence has been incorporated in recent years—my inaugural encounter with artificial intelligence manifested through applications utilized on telecommunication devices. Artificial intelligence finds application across various domains and displays a swiftly burgeoning spectrum of applications. In recent years, significant advancements have transpired in artificial intelligence, culminating in the emergence of numerous Large Language Models (LLMs). Introducing sophisticated and diverse language models has precipitated a remarkable leap in this domain. One such model is the artificial intelligence conversational robot named ChatGPT, equipped with the GPT-3.5.5 language model, which OpenAI unveiled on November 30, 2022. Impressively, this model garnered one million users within five days. Within the academic literature, ChatGPT, a Chat Generative-Being Transformer, is widely acknowledged as a substantial and versatile information resource [3]. So, can ChatGPT be used safely for manuscript writing? As academics, we know that writing an article and adding new knowledge to the literature requires serious dedication. In this context, using ChatGPT for article writing involves significant risks [4]. The biggest problem is accuracy [5]. Artificial intelligence draws its data from the internet environment, where the veracity and reliability of information are persistently subject to debate. The accuracy and reliability of data on the Internet is always controversial. ChatGPT can produce factually inaccurate and inaccurate texts, create biased texts, and in particular, this can undermine the credibility and authority of researchers. Another most critical problem is that it includes ethical concerns. However, we cannot overlook the fact that with the advancement of technology, artificial intelligence has been progressing toward the core of our lives. As a solution, I think that artificial intelligence should be employed with caution, considering its ethical problems, the potential for misapplications, and plagiarism-related concerns. Notably, it can contribute to refining writte
{"title":"The Role of Artificial Intelligence in Academic Paper Writing and Its Prospective Application as a Co-Author: A Letter to the Editor","authors":"Gulnihal Deniz","doi":"10.58600/eurjther1808","DOIUrl":"https://doi.org/10.58600/eurjther1808","url":null,"abstract":"Dear Editors,\u0000I have read your editorials with great interest [1,2]. I am interested in sharing my insights concerning the role of artificial intelligence in composing scholarly articles, along with its potential as a collaborative co-author. I extend my heartfelt gratitude for establishing this profoundly valuable platform for discussion.\u0000I am aware of the imperative to renew myself academically daily. Perhaps the most exquisite yet arduous facet of academic life resides herein. Sustaining the currency of my domain knowledge, tracking technological advancements, and aligning with the latest research trends often pose formidable challenges. However, these challenges also furnish avenues for continuous self-improvement and exploring topics demanding more profound comprehension. In addition to the facilitation of information access afforded by computers and the internet, artificial intelligence has been incorporated in recent years—my inaugural encounter with artificial intelligence manifested through applications utilized on telecommunication devices. Artificial intelligence finds application across various domains and displays a swiftly burgeoning spectrum of applications. In recent years, significant advancements have transpired in artificial intelligence, culminating in the emergence of numerous Large Language Models (LLMs). Introducing sophisticated and diverse language models has precipitated a remarkable leap in this domain. One such model is the artificial intelligence conversational robot named ChatGPT, equipped with the GPT-3.5.5 language model, which OpenAI unveiled on November 30, 2022. Impressively, this model garnered one million users within five days. Within the academic literature, ChatGPT, a Chat Generative-Being Transformer, is widely acknowledged as a substantial and versatile information resource [3]. So, can ChatGPT be used safely for manuscript writing? As academics, we know that writing an article and adding new knowledge to the literature requires serious dedication. In this context, using ChatGPT for article writing involves significant risks [4]. The biggest problem is accuracy [5]. Artificial intelligence draws its data from the internet environment, where the veracity and reliability of information are persistently subject to debate. The accuracy and reliability of data on the Internet is always controversial. ChatGPT can produce factually inaccurate and inaccurate texts, create biased texts, and in particular, this can undermine the credibility and authority of researchers. Another most critical problem is that it includes ethical concerns.\u0000However, we cannot overlook the fact that with the advancement of technology, artificial intelligence has been progressing toward the core of our lives. As a solution, I think that artificial intelligence should be employed with caution, considering its ethical problems, the potential for misapplications, and plagiarism-related concerns. Notably, it can contribute to refining writte","PeriodicalId":42642,"journal":{"name":"European Journal of Therapeutics","volume":"118 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85264657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dear Editors, We are writing in response to your recent editorials regarding the captivating subject of employing artificial intelligence (AI) in the composition of scholarly documents, with a specific focus on the notion of co-authoring with artificial intelligence [1,2]. We would like to express my appreciation to the European Journal of Therapeutics for its diligent commitment to upholding the ethical standards and academic integrity of scholarly publications. In the context of the swiftly progressing technological era, it is important to exercise caution in the utilization of AI in order to uphold our established academic and scientific customs. We concur with the perspective that the incorporation of AI in the production of scholarly papers ought to be explicitly disclosed within the methodology section, in light of its escalating significance in the composition procedure. Ensuring transparency is crucial, as it facilitates a comprehensive understanding of the impact that AI may have on output, including both good and negative implications [3]. Nevertheless, while we acknowledge the utility of AI, we respectfully hold a dissenting viewpoint about the proposition of attributing co-authorship to an AI system such as ChatGPT. The act of being an author entails a level of responsibility that beyond the capabilities of even the most capable AI tool. The AI system lacks the ability to comprehend, analyze, or morally assess the subtleties inherent in the work it contributed to, therefore cannot be held responsible for the accuracy and implications of the work produced. AI serves as a valuable tool for researchers, enhancing both their efficiency and the overall quality of their work [4]. Sophisticated laboratory equipment and complicated statistical software are not regarded as co-authors. The same logic applies to AI. The recognition of AI's significance in academia is crucial, but only to the extent of AI's essence and constraints. A tool serves as a supplementary resource to expedite and enhance the processes of research and writing, although it should not be regarded as an autonomous contributor. As the dialogue around this topic continues to evolve, we look forward to seeing how international organizations such as ICMJE and COPE will adapt to this development [5]. With their solid criteria and careful tuning, they can guide us towards a future where we use AI effectively and ethically. Thank you for initiating this important conversation. Sincerely yours,
{"title":"Navigating the Impact of Artificial Intelligence on Scholarly Authorship: Transparency and Responsibility in the Technological Era","authors":"Ş. Şahin, Burak Erkmen","doi":"10.58600/eurjther1811","DOIUrl":"https://doi.org/10.58600/eurjther1811","url":null,"abstract":"Dear Editors,\u0000We are writing in response to your recent editorials regarding the captivating subject of employing artificial intelligence (AI) in the composition of scholarly documents, with a specific focus on the notion of co-authoring with artificial intelligence [1,2]. We would like to express my appreciation to the European Journal of Therapeutics for its diligent commitment to upholding the ethical standards and academic integrity of scholarly publications. In the context of the swiftly progressing technological era, it is important to exercise caution in the utilization of AI in order to uphold our established academic and scientific customs. We concur with the perspective that the incorporation of AI in the production of scholarly papers ought to be explicitly disclosed within the methodology section, in light of its escalating significance in the composition procedure. Ensuring transparency is crucial, as it facilitates a comprehensive understanding of the impact that AI may have on output, including both good and negative implications [3].\u0000Nevertheless, while we acknowledge the utility of AI, we respectfully hold a dissenting viewpoint about the proposition of attributing co-authorship to an AI system such as ChatGPT. The act of being an author entails a level of responsibility that beyond the capabilities of even the most capable AI tool. The AI system lacks the ability to comprehend, analyze, or morally assess the subtleties inherent in the work it contributed to, therefore cannot be held responsible for the accuracy and implications of the work produced. AI serves as a valuable tool for researchers, enhancing both their efficiency and the overall quality of their work [4]. Sophisticated laboratory equipment and complicated statistical software are not regarded as co-authors. The same logic applies to AI. The recognition of AI's significance in academia is crucial, but only to the extent of AI's essence and constraints. A tool serves as a supplementary resource to expedite and enhance the processes of research and writing, although it should not be regarded as an autonomous contributor.\u0000As the dialogue around this topic continues to evolve, we look forward to seeing how international organizations such as ICMJE and COPE will adapt to this development [5]. With their solid criteria and careful tuning, they can guide us towards a future where we use AI effectively and ethically. Thank you for initiating this important conversation.\u0000Sincerely yours,","PeriodicalId":42642,"journal":{"name":"European Journal of Therapeutics","volume":"122 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85329663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objectives: This study aimed to unbiasedly identify the quality and readability of the written information about post-endodontic coronal restorations on Turkish websites using accepted formulas and scales by the literature. Methods: The study was carried out by setting national pages and national locations in the Google search engine. The terms "root canal treatment and veneer" and "root canal treatment and filling" were used as keywords. The webpages were assessed independently by two readability formulas (Flesh-Kincaid and Ateşman systems) and DISCERN quality kit. The independent statistical and correlation analysis were performed using Kolmogorov-Smirnov, Shapiro-Wilk, Spearman's rho, and Dunn's tests. The significance level was taken as p<0.05. Results: The initial search identified 60 websites, of which eight were excluded due to non-compliance with the study criteria (n=52). According to the DISCERN score, the web pages were categorized as fair with the highest rate of 57.69%. A statistically significant positive correlation was found between Ateşman Readability Index and the Flesh-Kincaid Reading Ease score (r=0.998; p<0.001). There was no statistically significant correlation between Ateşman Readability Index and DISCERN score (p=0.259). Ateşman reading ease scores of the web pages are evaluated, 80.76% of these are classified as moderately difficult. Conclusions: The readability distribution of the written information about post-endodontic coronal restorations on websites was acceptable to the majority. However, being readable does not indicate that it provides sufficient target technical information. In this context, it can be suggested to use readability and quality scales while preparing websites for dental patient education concerning post-endodontic coronal restorations.
{"title":"Readability and Quality Assessment of Web-Based Information Concerning Post-Endodontic Treatment Selection","authors":"Gülbahar Erdinç, Olcay Özdemir","doi":"10.58600/eurjther1763","DOIUrl":"https://doi.org/10.58600/eurjther1763","url":null,"abstract":"Objectives: This study aimed to unbiasedly identify the quality and readability of the written information about post-endodontic coronal restorations on Turkish websites using accepted formulas and scales by the literature. \u0000Methods: The study was carried out by setting national pages and national locations in the Google search engine. The terms \"root canal treatment and veneer\" and \"root canal treatment and filling\" were used as keywords. The webpages were assessed independently by two readability formulas (Flesh-Kincaid and Ateşman systems) and DISCERN quality kit. The independent statistical and correlation analysis were performed using Kolmogorov-Smirnov, Shapiro-Wilk, Spearman's rho, and Dunn's tests. The significance level was taken as p<0.05. \u0000Results: The initial search identified 60 websites, of which eight were excluded due to non-compliance with the study criteria (n=52). According to the DISCERN score, the web pages were categorized as fair with the highest rate of 57.69%. A statistically significant positive correlation was found between Ateşman Readability Index and the Flesh-Kincaid Reading Ease score (r=0.998; p<0.001). There was no statistically significant correlation between Ateşman Readability Index and DISCERN score (p=0.259). Ateşman reading ease scores of the web pages are evaluated, 80.76% of these are classified as moderately difficult. \u0000Conclusions: The readability distribution of the written information about post-endodontic coronal restorations on websites was acceptable to the majority. However, being readable does not indicate that it provides sufficient target technical information. In this context, it can be suggested to use readability and quality scales while preparing websites for dental patient education concerning post-endodontic coronal restorations.","PeriodicalId":42642,"journal":{"name":"European Journal of Therapeutics","volume":"37 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79610442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saadet Sonmez, E. Menevse, S. B. Baltaci, O. Unal, R. Mogulkoc, A. Baltaci
Objective:In this study, it was aimed to investigate the relationship between the pineal gland and ghrelin and nesfatin-1 hormones in rats. Methods: A total of 36 male rats were used in the study, and the animals were divided into 4 groups. Group 1, Control; Group 2, Pinealectomy (Px); Group 3, Px+Melatonin; Group 4 Melatonin. After the end of the experimental applications, melatonin, ghrelin and nesfatin-1 levels (ELISA) were determined in the blood samples taken from the animals. Results: While pinealectomy resulted in suppression of melatonin levels, melatonin supplementation led to a significant increase in blood melatonin levels (p<0.01). Melatonin supplementation suppressed ghrelin levels, while pinealectomy increased ghrelin levels (P<0.01). On the other hand, Nesfatin-1 levels, which increased with melatonin support, were significantly suppressed by pinealectomy (p<0.01). Conclusion: The results of the current study show that the pineal gland may have important effects on the hormones ghrelin and nesfatin-1, which play critical roles in nutrition. In conclusion melatonin supplementation inhibites ghrelin, and but increases nesfatin-1.
{"title":"Effects of Pinealectomy and Melatonin Application on Serum Melatonin, Nesfatin-1 and Ghrelin Levels","authors":"Saadet Sonmez, E. Menevse, S. B. Baltaci, O. Unal, R. Mogulkoc, A. Baltaci","doi":"10.58600/eurjther1747","DOIUrl":"https://doi.org/10.58600/eurjther1747","url":null,"abstract":"Objective:In this study, it was aimed to investigate the relationship between the pineal gland and ghrelin and nesfatin-1 hormones in rats.\u0000Methods: A total of 36 male rats were used in the study, and the animals were divided into 4 groups. Group 1, Control; Group 2, Pinealectomy (Px); Group 3, Px+Melatonin; Group 4 Melatonin. After the end of the experimental applications, melatonin, ghrelin and nesfatin-1 levels (ELISA) were determined in the blood samples taken from the animals.\u0000Results: While pinealectomy resulted in suppression of melatonin levels, melatonin supplementation led to a significant increase in blood melatonin levels (p<0.01). Melatonin supplementation suppressed ghrelin levels, while pinealectomy increased ghrelin levels (P<0.01). On the other hand, Nesfatin-1 levels, which increased with melatonin support, were significantly suppressed by pinealectomy (p<0.01).\u0000Conclusion: The results of the current study show that the pineal gland may have important effects on the hormones ghrelin and nesfatin-1, which play critical roles in nutrition. In conclusion melatonin supplementation inhibites ghrelin, and but increases nesfatin-1.","PeriodicalId":42642,"journal":{"name":"European Journal of Therapeutics","volume":"22 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84114155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dear Editors, We have read with interest your very valuable editorials on the use of artificial intelligence (AI) applications, which is a very current topic, in academic writing [1,2]. The opinions and thoughts of the authors about writing articles with the help of AI have been the focus of attention recently [1-3]. First of all, thank you very much for creating a discussion platform for the most used and mentioned development of the century (ChatGPT). Today, technology is indispensable in our lives, and in the last ten years, AI and the products obtained with this technology are an indication that Al will take place in all areas of our lives in the future. The one of the most important areas affected by technological developments is undoubtedly the world of science. Scientific articles, which are a product of scientific research, evolve depending on constantly renewed technological developments. Endnote, Zotero, Mendeley, which are frequently used in article writing; Plagiarism programs such as Turnitin, Ithenticate, SmallSEOTools etc. have taken their places among the indispensables of academics [4]. The most up-to-date technology that will help academics and scientific applications is the ChatGPT application, which is a product of AI, which is rapidly advancing in the world and is appreciated by millions of users [5]. Recently, one of the most discussed topics in the academic world is the use of AI as a co-author in academic articles [1-3,6]. Many authors argue that AI cannot be co-authors in article writing [3,6,7], some authors argue that it will be impossible to avoid the benefits that technology can provide us [8,9], while some authors argue that it is useful but needs to be developed [10]. In article writing, taking advantage of the conveniences that AI will offer to academicians shortens the duration of the work and provides ease of access. We think that the use of AI will be beneficial in many stages such as the literature review for a study, the creation of references in article writing, the preparation of the article according to the format of the journal to which it is planned to be sent, etc. Bahşi and Küçükbingöz [3] stated that the most important point is accuracy which may pose a problem in using AI programs such as ChatGPT or GPT4 in writing an article. AI serves information that it scans on the internet, and we do not know whether its source is always correct. Lee [6] emphasized that the inability of AI to take place as an author in article writing is not ethical in terms of not being able to take responsibility. However, there are researchers who emphasize that the main responsibility for article writing lies with the author [9]. When we evaluate the perspectives of the authors on the subject, we think that the parts of ChatGPT that need to be improved in terms of accuracy in citation and lack of ethical controller. Artificial intelligence can be a co-author of articles if a scientific dataset is used, which consists of data
{"title":"The Use of Controlled Artificial Intelligence as a Co-Author in Academic Article Writing","authors":"Duygu Akın Saygın, Anıl Didem Aydın Kabakçı","doi":"10.58600/eurjther1801","DOIUrl":"https://doi.org/10.58600/eurjther1801","url":null,"abstract":"Dear Editors,\u0000We have read with interest your very valuable editorials on the use of artificial intelligence (AI) applications, which is a very current topic, in academic writing [1,2]. The opinions and thoughts of the authors about writing articles with the help of AI have been the focus of attention recently [1-3]. First of all, thank you very much for creating a discussion platform for the most used and mentioned development of the century (ChatGPT). Today, technology is indispensable in our lives, and in the last ten years, AI and the products obtained with this technology are an indication that Al will take place in all areas of our lives in the future. The one of the most important areas affected by technological developments is undoubtedly the world of science. Scientific articles, which are a product of scientific research, evolve depending on constantly renewed technological developments. Endnote, Zotero, Mendeley, which are frequently used in article writing; Plagiarism programs such as Turnitin, Ithenticate, SmallSEOTools etc. have taken their places among the indispensables of academics [4].\u0000The most up-to-date technology that will help academics and scientific applications is the ChatGPT application, which is a product of AI, which is rapidly advancing in the world and is appreciated by millions of users [5]. Recently, one of the most discussed topics in the academic world is the use of AI as a co-author in academic articles [1-3,6]. Many authors argue that AI cannot be co-authors in article writing [3,6,7], some authors argue that it will be impossible to avoid the benefits that technology can provide us [8,9], while some authors argue that it is useful but needs to be developed [10].\u0000In article writing, taking advantage of the conveniences that AI will offer to academicians shortens the duration of the work and provides ease of access. We think that the use of AI will be beneficial in many stages such as the literature review for a study, the creation of references in article writing, the preparation of the article according to the format of the journal to which it is planned to be sent, etc.\u0000Bahşi and Küçükbingöz [3] stated that the most important point is accuracy which may pose a problem in using AI programs such as ChatGPT or GPT4 in writing an article. AI serves information that it scans on the internet, and we do not know whether its source is always correct. Lee [6] emphasized that the inability of AI to take place as an author in article writing is not ethical in terms of not being able to take responsibility. However, there are researchers who emphasize that the main responsibility for article writing lies with the author [9]. When we evaluate the perspectives of the authors on the subject, we think that the parts of ChatGPT that need to be improved in terms of accuracy in citation and lack of ethical controller. Artificial intelligence can be a co-author of articles if a scientific dataset is used, which consists of data ","PeriodicalId":42642,"journal":{"name":"European Journal of Therapeutics","volume":"101 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82451081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: This study aims to provide an in-depth knowledge of the perspectives of young adults on gender roles. There is a lack of literature in the appropriate age classes. Methods: The study is descriptive in nature and includes 473 students. This research was conducted using a questionnaire and the Social Gender Perception Scale (SGPS) to collect data. Results: It was determined that 52.4% of the study participants were female and 47.6% were male. 63% of the participants were affiliated with the Faculty of Health Sciences, while the remainder were students from other faculties. The average SGPS score of the participants was 95.62±18.17, but this score varied based on socio-demographic variables. Specifically, being female, possessing an undergraduate degree or higher, studying in a health sciences faculty, and having a mother who completed primary school or higher were all linked to higher SGPS mean scores. Furthermore, statistical analysis revealed a significant difference between these groups (p<0.05). Conclusion: It is imperative that parents are provided with educational programs aimed at fostering knowledge of social gender roles and cultivating egalitarian attitudes and viewpoints. It is important to strategically design and execute research endeavours aimed at ascertaining the perspectives and attitudes of parents of young individuals with respect to societal gender roles.
{"title":"The Perceptions of Young Adults Towards Social Gender Roles","authors":"B. Kaplan, Sezer Avcı, Tulay Ortabag, Doğan Erkan","doi":"10.58600/eurjther1744","DOIUrl":"https://doi.org/10.58600/eurjther1744","url":null,"abstract":"Objective: This study aims to provide an in-depth knowledge of the perspectives of young adults on gender roles. There is a lack of literature in the appropriate age classes.\u0000Methods: The study is descriptive in nature and includes 473 students. This research was conducted using a questionnaire and the Social Gender Perception Scale (SGPS) to collect data.\u0000Results: It was determined that 52.4% of the study participants were female and 47.6% were male. 63% of the participants were affiliated with the Faculty of Health Sciences, while the remainder were students from other faculties. The average SGPS score of the participants was 95.62±18.17, but this score varied based on socio-demographic variables. Specifically, being female, possessing an undergraduate degree or higher, studying in a health sciences faculty, and having a mother who completed primary school or higher were all linked to higher SGPS mean scores. Furthermore, statistical analysis revealed a significant difference between these groups (p<0.05).\u0000Conclusion: It is imperative that parents are provided with educational programs aimed at fostering knowledge of social gender roles and cultivating egalitarian attitudes and viewpoints. It is important to strategically design and execute research endeavours aimed at ascertaining the perspectives and attitudes of parents of young individuals with respect to societal gender roles.","PeriodicalId":42642,"journal":{"name":"European Journal of Therapeutics","volume":"25 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87685414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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