UNASSIGNED: Musculoskeletal (MSK) disorders, affecting billions of people worldwide, pose significant challenges to the healthcare system and require effective management models. The rapid development of digital healthcare technologies (DHTs) has revolutionized the healthcare industry. DHT-based interventions have shown promising clinical benefits in managing MSK disorders, alleviating pain, and improving functional impairment. There is, however, no bibliometric analysis of the overall trends on this topic.
UNASSIGNED: We extracted all relevant publications from the Web of Science Core Collection (WoSCC) database until April 30, 2023. We performed bibliometric analysis and visualization using CiteSpace, VOSviewer, and R software. Annual trends of publications, countries/regions distributions, funding agencies, institutions, co-cited journals, author contributions, references, core journals, and keywords and research hotspots were analyzed.
UNASSIGNED: A total of 6810 papers were enrolled in this study. Publications have increased drastically from 16 in 1995 to 1198 in 2022, with 4067 articles published in the last five years. In all, 53 countries contributed with publications to this research area. The United States, the United Kingdom, and China were the most productive countries. Harvard University was the most contributing institution. Regarding keywords, research focuses include artificial intelligence, deep learning, machine learning, telemedicine, rehabilitation, and robotics.
UNASSIGNED: The COVID-19 pandemic has further accelerated the adoption of DHTs, highlighting the need for remote care options. The analysis reveals the positive impact of DHTs on improving physician productivity, enhancing patient care and quality of life, reducing healthcare expenditures, and predicting outcomes. DHTs are a hot topic of research not only in the clinical field but also in the multidisciplinary intersection of rehabilitation, nursing, education, social and economic fields. The analysis identifies four promising hotspots in the integration of DHTs in MSK pain management, biomechanics assessment, MSK diagnosis and prediction, and robotics and tele-rehabilitation in arthroplasty care.

Take-all of wheat (Triticum aestivum L.), caused by Gaeumannomyces tritici (syn. G. graminis var. tritici), is perhaps the most important soil-borne disease of wheat globally and can cause substantial yield losses under several cropping scenarios in Oregon. Though resistance to take-all has not been identified in hexaploid wheat, continuous cropping of wheat for several years can reduce take-all severity through the development of suppressive soils, a process called \"take-all decline\" (TAD). Extensive work has shown that TAD is driven primarily by members of the Pseudomonas fluorescens complex that produce 2,4-diacetlyphloroglucinol (DAPG), an antibiotic that is associated with antagonism and induced host resistance against multiple pathogens. Field experiments were conducted to determine the influence of agronomically relevant first year wheat cultivars on take-all levels and ability to accumulate DAPG-producing pseudomonads within their rhizospheres in second-year field trials and in greenhouse trials. One first year wheat cultivar consistently resulted in less take-all in second-year wheat and accumulated significantly more DAPG-producing pseudomonads than other cultivars, suggesting a potential mechanism for take-all reduction associated with that cultivar. An intermediate level of take-all suppression in other other cultivars was not clearly associated with population size of DAPG-producing pseudomonads, however. The first year cultivar effect on take-all dominated in subsequent plantings, and its impact was not specific to the first year cultivar. Our results confirm that wheat cultivars may be used to suppress take-all when deployed appropriately over cropping seasons, an approach that is cost effective, sustainable, and currently being utilized by some wheat growers in Oregon to reduce take-all.

BACKGROUND: People with diabetes, vascular disease, and asthma often struggle to maintain stability in their chronic health conditions, particularly those in rural areas, living in poverty, or racially or ethnically minoritized populations. These groups can experience inequities in healthcare, where one group of people has fewer or lower-quality resources than others. Integrating behavioral healthcare services into primary care holds promise in helping the primary care team better manage patients\' conditions, but it involves changing the way care is delivered in a clinic in multiple ways. Some clinics are more successful than others in fully integrating behavioral health models as shown by previous research conducted by our team identifying four patterns of implementation: Low, Structural, Partial, and Strong. Little is known about how this variation in integration may be related to chronic disease management and if IBH could be a strategy to reduce healthcare inequities. This study explores potential relationships between IBH implementation variation and chronic disease management in the context of healthcare inequities.
METHODS: Building on a previously published latent class analysis of 102 primary care clinics in Minnesota, we used multiple regression to establish relationships between IBH latent class and healthcare inequities in chronic disease management, and then structural equation modeling to examine how IBH latent class may moderate those healthcare inequities.
RESULTS: Contrary to our hypotheses, and demonstrating the complexity of the research question, clinics with better chronic disease management were more likely to be Low IBH rather than any other level of integration. Strong and Structural IBH clinics demonstrated better chronic disease management as race in the clinic\'s location became more White.
CONCLUSIONS: IBH may result in improved care, though it may not be sufficient to resolve healthcare inequities; it appears that IBH may be more effective when fewer social determinants of health are present. Clinics with Low IBH may not be motivated to engage in this practice change for chronic disease management and may need to be provided other reasons to do so. Larger systemic and policy changes are likely required that specifically target the mechanisms of healthcare inequities.

BACKGROUND: Despite 2 decades of cancer survivorship research, policy, and advocacy, primary care in the United States has not fully integrated survivorship care into its generalist role. This manuscript describes innovative roles primary care physicians have adopted in survivorship care and how these roles emerged.
METHODS: We conducted qualitative in-depth interviews with a snowball sample of 10 US primary care physician innovators in survivorship care. Interviews were recorded and professionally transcribed. Our team met weekly as interviews were completed to review transcripts and write summaries. We analyzed data using an immersion-crystallization process.
RESULTS: Innovators did not receive formal survivorship training but gained knowledge experientially and through self-guided education. All worked in academic primary care and/or cancer centers; context strongly influenced role operationalization. We delineated 4 major role-types along a spectrum, with primary care generalist orientations at one end and cancer generalist orientations at the other. Primary care generalists applied survivorship guidelines during regular visits (\"GENERALISTS+\") or focused on cancer treatment effects amid other comorbidities during blocked clinic time (\"oncoGENERALISTS\"). Cancer generalists focused on cancer-related sequalae during and after treatment; some provided continuity care to survivors (\"ONCOGENERALISTS\"), while others incorporated unmet primary care needs into survivorship consults (\"ONCOgeneralists\").
CONCLUSIONS: Primary care survivorship innovations are occurring in academic primary care and cancer centers settings in the US. To move beyond the work of individual innovators, systematic investments are needed to support adoption of such innovations. For wider diffusion of survivorship care into community primary care, additional strategies that include primary care survivorship education and workforce development are needed to facilitate risk-stratified and shared-care models.

Angina pectoris may arise from obstructive coronary artery disease (CAD) or in the absence of significant CAD (ischemia with nonobstructed coronary arteries [INOCA]). Therapeutic strategies for patients with angina and obstructive CAD focus on reducing cardiovascular events and relieving symptoms, whereas in INOCA the focus shifts toward managing functional alterations of the coronary circulation. In obstructive CAD, coronary revascularization might improve angina status, although a significant percentage of patients present angina persistence or recurrence, suggesting the presence of functional mechanisms along with epicardial CAD. In patients with INOCA, performing a precise endotype diagnosis is crucial to allow a tailored therapy targeted toward the specific pathogenic mechanism. In this expert opinion paper, we review the evidence for the management of angina, highlighting the complementary role of coronary revascularization, optimal medical therapy, and lifestyle interventions and underscoring the importance of a personalized approach that targets the underlying pathobiology.

Diabetic cardiomyopathy (DCM) is a severe secondary complication of type 2 diabetes mellitus (T2DM) that is diagnosed as a heart disease occurring in the absence of any previous cardiovascular pathology in diabetic patients. Although it is still lacking an exact definition as it combines aspects of both pathologies - T2DM and heart failure, more evidence comes forward that declares DCM as one complex disease that should be treated separately. It is the ambiguous pathological phenotype, symptoms or biomarkers that makes DCM hard to diagnose and screen for its early onset. This re-view provides an updated look on the novel advances in DCM diagnosis and treatment in the experimental and clinical settings. Management of patients with DCM proposes a challenge by itself and we aim to help navigate and advice clinicians with early screening and pharmacotherapy of DCM.

The De Ritis ratio, defined as the serum aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio, is a widely recognized biochemical marker with significant applications in diagnosing and managing various diseases, particularly liver disorders. This comprehensive review synthesizes current knowledge surrounding the clinical relevance of the De Ritis ratio, examining its historical development, diagnostic utility, and prognostic significance across various medical conditions, including liver diseases, cardiovascular disorders, and muscular pathologies. Through an in-depth analysis of literature spanning several decades, this review highlights the role of the De Ritis ratio not only in differential diagnosis but also as a prognostic indicator for disease progression and patient outcomes. The ratio\'s ability to distinguish between different types of liver pathology, aid in early disease detection, and its potential use in monitoring treatment response are discussed. Additionally, the review addresses the methodological considerations, such as confounding factors and interpretation challenges, that impact the clinical utility of the De Ritis ratio. Given the evolving landscape of clinical diagnostics and the push toward more personalized medicine, the review concludes with recommendations for further research. These include longitudinal studies to explore the ratio\'s changes over time, comparative research across diverse populations, and technological integration to enhance diagnostic accuracy and patient care. This review aims to reaffirm the importance of the De Ritis ratio in modern clinical practice and encourages continued exploration into its potential applications and benefits in healthcare.

BACKGROUND: Using online methods in health education is an effective method that provides individual services to older adults with limited access to health services and allows for low-cost and continuous communication.
METHODS: The study was completed with 52 older adults diagnosed with osteoarthritis, including 26 intervention and 26 control participants. For data collection, a Patient Information Form, Visual Analogue Scale, the Western Ontario and McMaster Universities Osteoarthritis Index, Self-Efficacy Scale in Arthritis, World Health Organization Quality of Life Instrument-Older Adults Module and a Telephone Counselling Follow-up Form were used. Individuals in the intervention group were provided with online training for the first 4 weeks and telephone counselling for the following 4 weeks. Scales were applied to both groups.
RESULTS: The scales were applied to both groups at the first, second and last measurements. It was determined that there was a significant difference between the total pain and functional status scores of the individuals in the intervention and control groups at the second and last measurement (p < 0.05), while the average scores of the intervention group were lower control group. The total self-efficacy score and quality of life total score of the intervention group were statistically significantly higher than the total score of the control group (p < 0.05).
CONCLUSIONS: As a result of the research, it was found that online education and telephone counselling given to elderly individuals with osteoarthritis were effective in reducing pain severity and improving functional status, self-efficacy and quality of life.
BACKGROUND: The trial was registered at ClinicalTrial.gov (NCT04816474/2021-08-10/https://register.
RESULTS: gov/).

Plant-based functional foods have gained wider attention in current scenario with mung bean harboring several bioactive compounds with promising gut health benefits and pharmacological importance. Consumption of mung bean has a positive impact on beneficial gut microbes and microbial metabolite production. The effects of dietary mung bean on gut microbial homeostasis and the management of gut-related diseases along with the possible mechanism of action, have been highlighted through this review paving a way for a promising role of dietary mung bean as a functional food in the management of gut-related diseases for example mung bean peptides can help not only in treating prediabetes but also delaying the aging process by targeting the intestinal microflora. In addition, expanding our knowledge of how diets affect host health and disease, including the effects of mung bean dietary components on gut microbiota-derived metabolites, will eventually allow for the development of tailored diets and nutrients.

OBJECTIVE: The family physician team has become the core carrier for delivery primary health care in China. This study aimed to measure the effect of the network structural characteristics of family physician team processes on health performance. Strategic recommendations for optimizing the family physician team processes with a view to improving performance were presented.
METHODS: A cross-sectional survey was conducted from October to December 2021 in Qianjiang in Hubei Province and Changsha in Hunan Province. Task performance, contextual performance, social networks, and sociodemographic characteristics were collected. Social network analysis was conducted to calculate density and centralization, then hierarchical linear regression analysis was employed to explore the relationship between the network structural characteristics of family physician team processes and performance.
RESULTS: In total, 88 family physician teams attended in this investigation. The transition processes of family physician team showed a distinctive low density (0.272 ± 0.112), high centralization (0.866 ± 0.197) network structure. For family physician team, the density of action processes significantly and positively affected task performance (B = 0.600, P < 0.05); the centralization of action processes positively affected task performance (B = 0.604, P < 0.01); the density of action processes positively affected contextual performance (B = 0.545, P < 0.01); the density of interpersonal processes significantly and positively affected contextual performance (B = 0.326, P < 0.05).
CONCLUSIONS: The network density and centralization of family physician team processes have positive effects on chronic disease management performance. The results from this study help to enhance our conceptual understanding of social network and its implications for team-dynamics. Optimizing family physician team processes is an effective way to strengthen the construction of family physician team and promote the quality and efficiency of family physician-contracted service. It is recommended to strengthen the management of team processes, enhance the internal collaboration mechanism, and optimize the centralized network structure of family physician team.