Presentation of Chemotherapy Options in Cachexia in the Literature: A Scientometric Evaluation

Background: Cachexia is a multifactorial syndrome characterized by weight loss, muscle wasting, and symptoms such as fatigue and anorexia. The primary aim of this study was to quantitatively and qualitatively examine the research trends and hotspots on chemotherapy options in cachexia.Methods: A scientometric analysis was carried out according to the Science Citation Index-Expended database in the Web of Science. By utilizing bibliometric software, the performance of the total articles was covered from records, authors and affiliations, journals and research categories, to burst references, citation relationship network, and the keywords co-occurrence overlay visualization.Results: A total of 1,111 articles were retrieved. The United States occupied the top position both on the total outputs and the cooperation with other countries. Journal of Cachexia, Sarcopenia and Muscle had the highest impact factor and the most publications. Eight main groups were clustered by the similarity of the research topic. Ongoing weight loss has been the main bottleneck either in mechanistic research or therapeutic trials. In addition to nutritional supplements, the major options for pharmacological therapy were progestational agents, such as megestrol acetate and corticosteroids. ‘Computed tomography’ and strategies dealing with ‘skeletal muscle mass’, ‘muscle mass’, ‘sarcopenia’ and ‘muscle atrophy’ might be the breakthrough for the future diagnosis and treatment of cachexia.Conclusions: We considered the publication information by summarizing the literature on the pharmacological treatment of cachexia. In summary, this study provides novel and useful data for related scientific research and will help researchers explore cachexia chemotherapy options more intuitively and effectively.

Mapping Research Trends in Residential Construction Retrofitting: A Scientometric Literature Review

The world is looking to reduce carbon emissions, prevent global warming, and become more energy sustainable. Despite the various strategies for mitigating climate change, the fact remains that 80% of greenhouse gas emissions are attributable to activities associated with the built environment, and this is where a concentrated focus is needed. Moreover, most buildings are residential, not commercial or industrial. In essence, ways must be found to reduce energy consumption and CO2 emissions from existing houses and apartments globally if sustainability is to be realised. The recognised way to achieve this is through the retrofitting of existing residential buildings. Studies in this area have increased in recent times, but the extent of the work remains unmapped and undescribed. If further progress is to be made in this field, researchers’ knowledge domain so far must be documented. This literature review delivers that goal. A scientometric evaluation of research on residential retrofitting is here presented. VOSviewer, Gephi, and CiteSpace are the software packages used. Findings identify retrofitting as an emerging theme, taking off only as recently as 2017. The breadth of research is very limited, primarily concerned with calibrating trade-offs between energy costs and thermal comfort. Emerging and new opportunities to expand retrofitting research are identified. Finally, while several journals accommodate publications on this topic, analysis reveals Energy and Buildings to be the significant citation source.

Scientometric Evaluation of Published Articles in Travel Medicine and Global Health

Introduction: Travel medicine has become firmly established as a medical discipline and, as such, it should undergo periodic assessment of its productivity. Scientometrics is a field of study related to data science, which concerns itself with the measurement and analysis of published scholarly literature. Methods: A scientometric evaluation was conducted of all 240 articles published through February 2021 in the International Journal of Travel Medicine and Global Health (IJTMGH), one of the few academic journals dedicated to the study of travel medicine. Results: The majority of articles belonged to the general category of travel medicine (62%, n=149), with 38% of articles (n=91) being focused on global health and non-travel related infectious diseases. The 149 travel medicine-related articles mapped onto the Body of Knowledge syllabus of the International Society of Travel Medicine, with the majority of articles addressing the domain of pre-travel assessment of travellers (49.7%, n=74), including the sub-domains of patient evaluation, special populations of travellers, special itineraries, prevention and self-treatment, and communication of risks to travellers. The most common thematic designation of IJTMGH articles related to medical and health tourism (12.1%, n=29). High levels of geographic diversity, multi-authorship and inter-institutional collaboration were observed in the journal. The subject matter of the most cited and most popular articles reflected the broad coverage of travel medicine and global health by IJTMGH. Conclusion: We recommend that future bibliometric and citation analyses be performed, which will further enhance our understanding of the evolution of these dynamic fields of academic study.

Idiosyncratic Drug-Induced Liver Injury (DILI) and Herb-Induced Liver Injury (HILI): Diagnostic Algorithm Based on the Quantitative Roussel Uclaf Causality Assessment Method (RUCAM)

Causality assessment in liver injury induced by drugs and herbs remains a debated issue, requiring innovation and thorough understanding based on detailed information. Artificial intelligence (AI) principles recommend the use of algorithms for solving complex processes and are included in the diagnostic algorithm of Roussel Uclaf Causality Assessment Method (RUCAM) to help assess causality in suspected cases of idiosyncratic drug-induced liver injury (DILI) and herb-induced liver injury (HILI). From 1993 until the middle of 2020, a total of 95,865 DILI and HILI cases were assessed by RUCAM, outperforming by case numbers any other causality assessment method. The success of RUCAM can be traced back to its quantitative features with specific data elements that are individually scored leading to a final causality grading. RUCAM is objective, user friendly, transparent, and liver injury specific, with an updated version that should be used in future DILI and HILI cases. Support of RUCAM was also provided by scientists from China, not affiliated to any network, in the results of a scientometric evaluation of the global knowledge base of DILI. They highlighted the original RUCAM of 1993 and their authors as a publication quoted the greatest number of times and ranked first in the category of the top 10 references related to DILI. In conclusion, for stakeholders involved in DILI and HILI, RUCAM seems to be an effective diagnostic algorithm in line with AI principles.

Landscape of Big Data Research in India

We all know that data has become a new fuel to the fast paced technology-driven world. And the academicians and researchers are doing their best for getting better into moulding the data-driven society to keeping it updated every day. Indian academicians and researchers are also doing their best in field of big data research studies. This chapter will focus the research landscape of big data research in India. This scientometric evaluation will let us know how India is going forward in this research area with some specific statistics in scientific community.

Scientometric Evaluation of Research Productivity on Diabetes from the Kingdom of Saudi Arabia over the Last Two Decades (2000-2019)

Background and Objectives. Diabetes Mellitus (DM) is a leading global cause of morbidity and mortality with additional threats from known prevalent risk factors. Despite huge investments and increased publications, it is challenging to assess research output. Importantly, the literature on publication trends and performance evaluation is scarce from regions including the Kingdom of Saudi Arabia (KSA). This study is aimed at analyzing diabetes-related research output from KSA over the last two decades (2000-2019). Materials and Methods. Data was extracted from the Web of Science (WoS) platform and later bibliometric analysis performed using the “R-Bibliometrix” package. A wide range of indicators was explored to measure the quantity and quality of the publications related to diabetes from KSA. Results. Saudi Arabia was 28th in rank with 2600 documents (0.83% of global share). Articles were the main document type (76%). The total number of authors was 9715 from 104 countries. Three authors showed >50 publications and >100 total citations while 2 authors showed an H-index of ≥20. The USA, UK, and Egypt were other leading contributive countries in terms of corresponding authors and total citations per country. King Saud University was the major contributing affiliation followed by King Abdulaziz University. Among 865 sources, Saudi Medical Journal was the leading and consistent source over the years. Diabetes, Diabetes Mellitus, and Type 2 Diabetes were the most frequently used keywords. Conclusion. This study provides a macroscopic overview of diabetes-related research output from KSA. Overall, similar identifications and trends of top authors were observed in terms of productivity, impact, international collaborations, and organizational affiliations. Generally, an increasing productivity trend was observed with the majority published in the last 5 to 10 years. Study findings can benefit relevant stakeholders to better understand the trends and performance of diabetes-related regional research.