Periodontitis has emerged as one of the most critical oral diseases, and research on this condition holds great importance for the advancement of stomatology. As the most authoritative national scientific research funding institution in China, the National Natural Science Foundation of China (NSFC) has played a pivotal role in driving the progress of periodontal science by supporting research on periodontitis. This article provides a comprehensive review of the research and development progress related to periodontitis in China from 2014 to 2023, highlighting the significant contributions of the NSFC to this field. We have summarized the detailed funding information from the NSFC, including the number of applicant codes, funded programs and the distribution of funded scholars. These data illustrate the efforts of the NSFC in cultivating young scientists and building research groups to address key challenges in national scientific research. This study offers an overview of the current hot topics, recent breakthroughs and future research prospects related to periodontitis in China.
China ; Periodontitis ; Humans ; Foundations ; Research Support as Topic ; Natural Science Disciplines ; Dental Research/economics*

Objective To analyze the caregiver presence needs and their influencing factors among hospitalized elderly non-surgical patients and provide a basis for formulating relevant policies.Methods A descriptive qualitative study method was adopted.Through purposive sampling,semi-structured interviews were conducted on elderly non-surgical patients and their families and medical staff in Peking Union Medical College Hospital from September to October 2023.MAXQDA 2020 and the 7-step phenomenological analysis method of Colaizzi were used to classify and code the interview contents and identify themes.Results The categories of caregiver presence needs of elderly non-surgical patients included basic living assistance needs,disease monitoring needs,psychological support needs,as well as the needs for family members to provide economic support and participate in treatment decision-making.The influencing factors included advanced age,frailty,the lack of self-care ability in patients with comorbidities,the susceptibility of patients to sudden situations during the disease exacerbation period,the increased risk of unexpected events in patients with psychological distress,and patients' concerns about social support and medical decision-making.Conclusion The caregiver presence needs of elderly non-surgical patients during hospitalization are high and influenced by multiple factors.
Humans ; Caregivers/psychology* ; Aged ; Hospitalization ; Social Support ; Male ; Qualitative Research ; Female

Polygonatum cyrtonema is a famous bulk medicinal material which is the medicinal and edible homologous. With the implementation of the traditional Chinese medicine industry to promote precise poverty alleviation, the planting area of P. cyrtonema in Jinzhai is becoming larger and larger in recent years. Jinzhai is located in the Dabie Mountainous area, which is the largest mountain area and county in Anhui Province. The cultivation of P. cyrtonema is scattered, and the traditional Chinese medicine resources investigation is not only inefficient and accurate. In this study,the "Resource 3"(ZY-3) remote sensing image was used as the best observation phase,and the method of support vector machine classification was used. The method of parallelepiped, minimum distance, mahalanob is distance, maximum likelihood classification and neural net were used to classify and recognize the P. cyrtonema in the whole region. In order to determine the accuracy and reliability of classification results, the accuracy of six supervised classification results was evaluated by confusion matrix method, and the advantages and disadvantages of six supervised classification methods for extracting P. cyrtonema field planting area were compared and analyzed. The results showed that the method of support vector machine classification was more appropriate than that using other classification methods. It provides a scientific basis for monitoring the planting area of P. cyrtonemain field.
Medicine, Chinese Traditional ; Polygonatum ; Reproducibility of Results ; Research Design ; Support Vector Machine

To understand the survival stress of community-dwelling people with mental disorder. Fifteen cases were selected by purposive sampling and received semi-structured individualized interviews.The data were analyzed by Colaizzi framework and themes were extracted. Four themes were extracted:physiological stress due to psychiatric symptoms and side effects of drugs;psychological stress due to the outcome of mental illness and to conflict of roles in daily life;social and environmental stress such as social discrimination,lack of job opportunities,and difficulty in obtaining social welfare resources;and interpersonal stress caused by discrimination and deteriorating family relations. Community-dwelling people with mental illness have a higher level survival stress after returning to their families and society,with the stressors including symptoms of illness,social discrimination,and interpersonal relationship.Eliminating self-discrimination of the patients,improving social support and social welfare system,and increasing individualized community mental rehabilitation activities may reduce the survival stress of these patients and promote their rehabilitation.
Humans ; Independent Living ; Mental Disorders ; Qualitative Research ; Social Support

Introduction: Priority setting in the context of health research is important for developing countries as it assists policymakers and researchers in effectively and efficiently targeting research topics with the greatest benefit for public health. In the local setting, the Philippine National Unified Health Research Agenda (NUHRA) was formulated to prioritize health research topics that address the health needs of the population alongside the health sector’s goal for universal health care. This paper attempts to understand the alignment of the health research outputs by the Philippine Council for Health Research and Development (PCHRD) in addressing the priority health needs of the country. Methods: Review of secondary data and key informant interviews was done. Using a thematic analysis approach, we extracted secondary data from the 2006 to 2017 PCHRD Annual Reports to identify the completed PCHRD-funded health research projects. Excluded in scoping of secondary data were the zonal and other unpublished or not readily available online reports. Results: Results show that most research outputs address NUHRA priorities on health technology development and on the health needs on all life stages and triple burden of diseases under the Philippine Health Agenda. However, for research outputs to improve health outcomes, efforts must first be focused on health systems strengthening and the utilization of existing research information. Conclusion Gaps and challenges in the previous NUHRAs suggest that even as researches are aligned to the agenda, they do not necessarily address the health needs of the Philippines.
Support of Research ; Health Priorities

BACKGROUND: As one of the research councils under the Department of Science and Technology (DOST), health research priority setting has been the mandate of the Philippine Council for Health Research and Development (PCHRD) since its establishment in 1982. The development of the National Unified Health Research Agenda (NUHRA) convenes the major stakeholders for health in the country to establish the priorities for health research. The NUHRA aims to address the most urgent health issues in the country for the generation of solutions to the health concerns of the country.

OBJECTIVES AND METHOD: Through document review, this paper describes the approaches and lessons learned in research priority setting since the establishment of the Philippine National Health Research System.

RESULTS: The Philippines has employed a bottoms-up, top-down, and a combination of both approaches to develop its health research agenda.

CONCLUSION: The health research agenda-setting must consider evolving funding sources, its link to production of researches with high probability of knowledge translation to health technology innovation, and policy formulation. Measuring the impact of the NUHRA to the health systems and health situation of the country is a difficult assessment, but the gradual change in healthcare technology utilization and evidence-informed policies towards health equity can be a subjective measurement of the NUHRA's success.

Artificial intelligence (AI) is projected to substantially influence clinical practice in the foreseeable future. However, despite the excitement around the technologies, it is yet rare to see examples of robust clinical validation of the technologies and, as a result, very few are currently in clinical use. A thorough, systematic validation of AI technologies using adequately designed clinical research studies before their integration into clinical practice is critical to ensure patient benefit and safety while avoiding any inadvertent harms. We would like to suggest several specific points regarding the role that peer-reviewed medical journals can play, in terms of study design, registration, and reporting, to help achieve proper and meaningful clinical validation of AI technologies designed to make medical diagnosis and prediction, focusing on the evaluation of diagnostic accuracy efficacy. Peer-reviewed medical journals can encourage investigators who wish to validate the performance of AI systems for medical diagnosis and prediction to pay closer attention to the factors listed in this article by emphasizing their importance. Thereby, peer-reviewed medical journals can ultimately facilitate translating the technological innovations into real-world practice while securing patient safety and benefit.
Artificial Intelligence* ; Decision Support Techniques ; Diagnosis ; Humans ; Inventions* ; Journalism, Medical ; Machine Learning ; Patient Safety ; Peer Review ; Research Personnel ; Translating

PURPOSE: The purpose of this study was to identify the knowledge structure of cancer survivors. METHODS: For data, 1099 articles were collected, with 365 keywords as a Noun phrase extracted from the articles and standardized for analyzing. Co-occurrence matrix were generated via a cosine similarity measure, and then the network analysis and visualization using PFNet and NodeXL were applied to visualize intellectual interchanges among keywords. RESULTS: According to the result of the content analysis and the cluster analysis of author keywords from cancer survivors articles, keywords such as 'quality of life', 'breast neoplasms', 'cancer survivors', 'neoplasms', 'exercise' had a high degree centrality. The 9 most important research topics concerning cancer survivors were 'cancer-related symptoms and nursing', 'cancer treatment-related issues', 'late effects', 'psychosocial issues', 'healthy living managements', 'social supports', 'palliative cares', 'research methodology', and 'research participants'. CONCLUSION: Through this study, the knowledge structure of cancer survivors was identified. The 9 topics identified in this study can provide useful research direction for the development of nursing in cancer survivor research areas. The Network analysis used in this study will be useful for identifying the knowledge structure and identifying general views and current cancer survivor research trends.
Cluster Analysis ; Databases, Factual ; Humans ; *Models, Nursing ; Neoplasms/pathology/*psychology ; Palliative Care ; Qualitative Research ; Quality of Life ; Social Support ; Survivors/psychology

PURPOSE: Cancer clinical trials in Korea have rapidly progressed in terms of quantity and quality during the last decade. This study evaluates the current status of cancer clinical trials in Korea and their associated problems. MATERIALS AND METHODS: We analyzed the clinical trials approved by the Korea Food and Drug Administration (KFDA) between 2007 and 2013. A nationwide on-line survey containing 22 questions was also performed with several cooperative study groups and individual researchers in 56 academic hospitals. RESULTS: The number of cancer clinical trials approved by the KFDA increased almost twofold from 2007 to 2013. The number of sponsor-initiated clinical trials (SITs) increased by 50% and investigator-initiated clinical trials (IITs) increased by almost 640%. Three hundred and forty-four clinical trials were approved by the KFDA between 2012 and 2013. At the time of the on-line survey (August 2013), 646 SITs and 519 IITs were ongoing in all hospitals. Six high volume hospitals were each conducting more than 50 clinical trials, including both SITs and IITs. Fifty-six investigators (31%) complained of the difficulties in raising funds to conduct clinical trials. CONCLUSION: The number of cancer clinical trials in Korea rapidly increased from 2007 to 2013, as has the number of multicenter clinical trials and IITs run by cooperative study groups. Limited funding for IIT is a serious problem, and more financial support is needed both from government agencies and public donations from non-profit organizations.
4-Acetamido-4'-isothiocyanatostilbene-2,2'-disulfonic Acid ; Financial Management ; Financial Support ; Government Agencies ; Hospitals, High-Volume ; Humans ; Korea* ; Organizations, Nonprofit ; Research Personnel ; United States Food and Drug Administration

PURPOSEThe social network analysis (SNA) is a paradigm for analyzing structural patterns in social re- lations, testing knowledge sharing process and identifying bottlenecks of information flow. The purpose of this study was to determine the status of research in the fleld of violence in Iran using SNA.

METHODSResearch population included all the papers with at least one Iranian affiliation published in violence fleld indexed in SCIE, PubMed and Scopus databases. The co-word maps, co-authorship network and structural holes were drawn using related software. In the next step, the active authors and some measures of our network including degree centrality (DC), closeness, eigenvector, betweeness, density, diameter, compactness and size of the main component were assessed. Likewise, the trend of the published articles was evaluated based on the number of documents and their citations from 1972 to 2014.

RESULTSFive hundred and seventy one records were obtained. The five main clusters and hot spots were mental health, violence, war, psychiatric disorders and suicide. The co-authorship network was complex, tangled and scale free. The top nine authors with cut point role and top ten active authors were identified. The mean (standard deviation) of normalized DC, closeness, eigenvector and betweeness were 0.449 (0.805), 0.609 (0.214), 2.373 (7.353) and 0.338 (1.122), respectively. The density, diameter and mean compactness of our co-authorship network were 0.0494, 3.955 and 0.125, respectively. The main component consisted of 216 nodes that formed 17% of total size of the network. Both the number of the documents and their citations has increased in the field of violence in the recent years.

CONCLUSIONAlthough the number of the documents has recently increased in the field of violence, the information flow is slow and there are not many relations among the authors in the network. However, the active authors have ability to influence the flow of knowledge within the network.