Summary: Saudi Arabia (SA) has a reported obesity prevalence greater than the global average. Here, we systematically review firstly the prevalence and associated factors (59 studies) and secondly the pharmacological, lifestyle, and surgical interventions for obesity (body mass index, >30 kg/m²) in SA (29 studies) between December 2020 and March 2021 in PubMed, Medline, Embase, PsycINFO, and Cochrane. Peer‐reviewed articles in Arabic and English on human adults (aged >18 years) were searched. Among the eight largest studies with sample sizes over 10,000 people, the maximum‐reported obesity prevalence was 35.6%, with notable variations in gender and geographic region. Diet, specifically the move towards Western diet and heavy consumption of sugary beverages, and high levels of inactivity are major contributing factors to obesity. The reported obesity‐risk polymorphisms are not specific. Bariatric surgery is underrepresented, and in general, there is a lack of nationally coordinated studies on weight loss interventions. In particular, the systematic review did not find a body of research on psychological interventions. There is no trial data for the use of GLP‐1 analogs in SA, despite their widespread use. These findings can help policymakers, and practitioners prioritize future research efforts to reduce obesity prevalence in SA.

Coronavirus Disease 2019 (COVID-19), during the second wave in early 2021, has caused devastating chaos in India. As daily infection rates rise alarmingly, the number of severe cases has increased dramatically. The country has encountered health infrastructure inadequacy and excessive demand for hospital beds, drugs, vaccines, and oxygen. Adding more burden to such a challenging situation, mucormycosis, an invasive fungal infection, has seen a sudden surge in patients with COVID-19. The rhino-orbital-cerebral form is the most common type observed. In particular, approximately three-fourths of them had diabetes as predisposing comorbidity and received corticosteroids to treat COVID-19. Possible mechanisms may involve immune and inflammatory processes. Diabetes, when coupled with COVID-19–induced systemic immune change, tends to cause decreased immunity and an increased risk of secondary infections. Since comprehensive data on this fatal opportunistic infection are evolving against the backdrop of a major pandemic, prevention strategies primarily involve managing comorbid conditions in high-risk groups. The recommended treatment strategies primarily included surgical debridement and antifungal therapy using Amphotericin B and selected azoles. Several India-centric clinical guidelines have emerged to rightly diagnose the infection, characterise the clinical presentation, understand the pathogenesis involved, and track the disease course. Code Mucor is the most comprehensive one, which proposes a simple but reliable staging system for the rhino-orbital-cerebral form. A staging system has recently been proposed, and a dedicated registry has been started. In this critical review, we extensively analyse recent evidence and guidance on COVID-19–associated mucormycosis in India.

The flood of research output and increasing demands for peer reviewers have necessitated the intervention of artificial intelligence (AI) in scholarly publishing. Although human input is seen as essential for writing publications, the contribution of AI slowly and steadily moves ahead. AI may redefine the role of science communication experts in the future and transform the scholarly publishing industry into a technology-driven one. It can prospectively improve the quality of publishable content and identify errors in published content. In this article, we review various AI and other associated tools currently in use or development for a range of publishing obligations and functions that have brought about or can soon leverage much-demanded advances in scholarly communications. Several AI-assisted tools, with diverse scope and scale, have emerged in the scholarly market. AI algorithms develop summaries of scientific publications and convert them into plain-language texts, press statements, and news stories. Retrieval of accurate and sufficient information is prominent in evidence-based science publications. Semantic tools may empower transparent and proficient data extraction tactics. From detecting simple plagiarism errors to predicting the projected citation impact of an unpublished article, AI’s role in scholarly publishing is expected to be multidimensional. AI, natural language processing, and machine learning in scholarly publishing have arrived for writers, editors, authors, and publishers. They should leverage these technologies to enable the fast and accurate dissemination of scientific information to contribute to the betterment of humankind.

The global threat of noncommunicable diseases (NCDs) is alarmingly increasing. The health and economic burden of improper lifestyle choices is immense. Reducing modifiable risk factors has been demonstrated to significantly prevent chronic diseases. At this crucial time, lifestyle medicine (LM) has been recognized as an evidence-based medical domain applicable to NCDs. Among the tools used in LM, motivational interviewing (MI) is a patient-centered, collaborative counseling approach. In this evidence-based review article, we discuss recent literature on the application of MI in the six LM pillars defined by the British Society of LM (BSLM): healthy eating, mental wellbeing, healthy relationships, physical activity, minimizing harmful substances, and sleep. MI helps strengthen patients’ motivation to ameliorate behaviorally influenced health problems, improve treatment adherence, and optimize medical interventions. Technically correct, theoretically congruent, and psychometrically sound MI interventions yield satisfactory outcomes and help improve patient quality of life. Lifestyle change is often a gradual process involving multiple efforts and setbacks. MI is based on the idea that change is a process rather than an event. Extensive literature evidence supports the benefits of MI treatment, and interest in research on MI application is increasing across all BSLM pillars. MI helps people alter their thoughts and feelings about making changes by recognizing obstacles to change. Even interventions of short duration have been reported to yield better outcomes. Healthcare professionals must understand the relevance and importance of MI in clinical practice.

PURPOSE: Cancer incidence in Saudi Arabia has recently shown an upward trend. Research efforts within the different cancer continuum are pivotal to strengthening control measures. Since cancer research is evolving in the country, it is crucial to understand the current challenges and implement defined interventions to overcome them. The present qualitative study aimed to assess cancer research barriers among researchers and identify potential solutions from their perspectives. METHODS: We conducted a focus group discussion among 17 Saudi-based cancer researchers from diverse research backgrounds, provinces, and institutions. We used descriptive-interpretive thematic analysis following an open-ended approach to investigate the challenges in conducting cancer research. We also captured the solutions suggested based on the researchers' experiences. RESULTS: Six major themes emerged from the analysis: requirements of the data landscape, organizational support, national research roadmap, sustainable funding, clearer policies and regulations, and capacity building. To address challenges in these areas, researchers stressed the need for improved interinstitutional collaborations, immediate availability of research materials, and unlimited and easy access to research data. CONCLUSION: Improving health research is one of the primary goals of Saudi Vision 2030. It is, therefore, essential to overcome the current challenges in cancer research, enabling research findings to inform policies related to cancer control and care provision.

As thousands of 2019 Corona virus disease (Covid-19) clinical trials are continuously getting added to various registries these days, good practices on data sharing and transparency have become one of the prime topics of discussion than ever before. Although trial registration is considered a crucial step, there is a lack of integration between registration and published literature. Trial outcomes are a matter of public interest, but sponsor compliances are not adequate with the recommended guidelines. Although the global recognition of data transparency increases day by day, there is still a long journey to travel. It is high time that scholarly publishing stakeholders should put in a collaborative effort to check author compliance. In this article, we aimed to comprehend and discuss the imperative roles of various scholarly publishing stakeholders in improving clinical trial transparency during this pandemic situation and highlight the changing paradigm towards the pressing need for reporting clinical trial data more effectively.