Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

The current bibliometric study is designed to analyse the bibliometric studies in healthcare specific to South Asian countries. Bibliometric and thematic analysis was performed on 85 screened documents and author keywords respectively from Scopus. The current study covered the timespan from 2013 to 2023. Results are classified into three broad themes i.e., bibliometric, healthcare, and technological mapping. These three themes are grouped with the relevant sub-themes. Findings reveal the publication output trend, prominent authors, subject areas, journals, and affiliated institutions. Important and conspicuous words (author keywords) are visualized in bibliometric maps showing the noticeable themes for future research directions such as machine learning, blockchain, deep learning, and scientometrics in the area of healthcare. This study guides the researchers who are involved in conducting bibliometric studies specifically in healthcare. It serves as a compilation of published bibliometric studies through which different uncovered and underexplored aspects of healthcare research have emerged.

The COVID-19 pandemic, which emerged in the light of day toward the end of 2019, has changed almost every field of health care basically, and oncology is no exception. After reflecting on events of the past 2 years, it becomes evident that while the pandemic has put several difficulties in the way of cancer diagnosis, treatment, and research, it has also brought about a few positive changes and once again highlighted how strong the global cancer care community is.

The COVID-19 pandemic, which emerged in the light of day toward the end of 2019, has changed almost every field of health care basically, and oncology is no exception. After reflecting on events of the past 2 years, it becomes evident that while the pandemic has put several difficulties in the way of cancer diagnosis, treatment, and research, it has also brought about a few positive changes and once again highlighted how strong the global cancer care community is.

The COVID-19 pandemic, which emerged in the light of day toward the end of 2019, has changed almost every field of health care basically, and oncology is no exception. After reflecting on events of the past 2 years, it becomes evident that while the pandemic has put several difficulties in the way of cancer diagnosis, treatment, and research, it has also brought about a few positive changes and once again highlighted how strong the global cancer care community is.

Salt-processed Alismatis Rhizoma (SAR) is extensively used in clinical practice and exhibits a more robust urination-promoting effect than Alismatis Rhizoma (AR). This study employed ultra-performance liquid chromatography–quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF-MS) and pattern analysis to compare the terpenoids between AR and SAR. Additionally, this study compared the effects of AR and SAR on the gene expression in the kidneys of the rat model of edema (syndrome of kidney Yin deficiency) by transcriptomics to decipher the mechanism of salt processing. Materials and methods: AR and SAR were extracted by ultrasonication, and data were collected by UPLC-Q-TOF-MS in the positive ionmode. Transcriptome sequencing was employed to determine the gene expression levels of the ratmodel treated with AR and SAR, and the differentially expressed genes (DEGs) were obtained. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment was performed for the DEGs. The protein-protein interaction (PPI) network was built, on the basis of which the core targets were screened out. Finally, real-time quantitative polymerase chain reaction (RT-PCR) was conducted to verify the core targets. Results: A total of 63 terpenoids were detected in AR and SAR, and salt processing had a significant effect on the content of terpenoids. AR and SAR mainly participated in the regulation of inflammation and immune responses, and SAR regulated more DEGs than AR. Additionally, SAR exerted more extensive regulatory effects on the targets than AR. Conclusion: Salt processing mainly changes the content of chemical compounds in AR, which may indirectly optimize the proportion of the main compounds to enhance the therapeutic effect while reducing the toxicity. AR and SAR mainly ameliorate the edema due to kidney Yin deficiency by reducing inflammation and improving immunity. Finally, SAR regulates more genes and signaling pathways and exerts more extensive regulatory effects than AR.