The expert consensus on the clinical treatment of herpes zoster with fire needling was developed, and the commonly used fire needling treatment scheme verified by clinical research was selected to form a standardized diagnosis and treatment scheme for acute herpes zoster and postherpetic neuralgia (PHN), so as to answer the core problems in clinical application. The consensus focuses on patients with herpes zoster, and forms recommendations for 9 key clinical issues, covering simple fire needling and TCM comprehensive therapy based on fire needling, including fire needling combined with cupping, fire needling combined with Chinese herb, fire needling combined with cupping and Chinese herb, fire needling combined with filiform needling, fire needling combined with moxibustion, and provides specific recommendations and operational guidelines for various therapies.
Humans ; Herpes Zoster/therapy* ; Acupuncture Therapy/instrumentation* ; Consensus ; Clinical Protocols

BACKGROUND

The clinical learning environment (CLE) significantly influenced the nursing students' learning experience. While clinical learning is the heart of nursing education, certain non-academic factors might be influenced by CLE. Consequently, CLE may be affected during a health crisis like the COVID-19 pandemic.

To determine the relationship between nursing students’ CLE and their academic grit, self-esteem, and caring behaviors in the Central Philippines.

A descriptive cross-sectional study was conducted involving 462 nursing students enrolled during the COVID-19 pandemic. A purposive sampling technique was used to select the participants. Four self-report questionnaires were adopted to gather the data: a 42-item Clinical Learning Environment Inventory (CLEI) scale, short-form Grit (Grit-S) scale, Rosenberg’s Self-Esteem (RSE) scale, and Caring Behavior Inventory (CBI-24) scale. Spearman rho and rank-biserial correlation tools were used to analyze the data.

The results indicated that the clinical learning environment was positively associated with academic grit, selfesteem, and caring behavior. Some profiles of the participants, such as age, sex, year level, type of school, leadership experiences, clinical setting experience, and willingness to be a nurse, were significantly associated with the clinical learning environment, academic grit, self-esteem, and/or caring behavior.

Students’ CLE influences their academic grit, self-esteem, and caring behavior. That is, students who reported a more positive perception of CLE, the higher their academic grit, self-esteem, and caring behaviors. Furthermore, some students’ profile characteristics influence CLE, academic grit, self-esteem, and caring behavior. Enhancing CLE while promoting grit, self-esteem, and caring behaviors of nursing students affiliated with hospitals or any clinical learning settings and promoting alternative means of meeting CLE competencies when face-to-face interactions are restricted during a health crisis are recommended.

BACKGROUND AND OBJECTIVE

Morbidity and mortality conferences (M&M) have been an important part of the hospital governance since the early 1900s. It has been shown to improve overall quality of care, minimize adverse occurrences and preventable fatalities, and provide chances for educational learning. However, medical trainees have different perceptions of M&M conferences which may affect its effectiveness in improving patient outcomes. The aim of this study is to determine the perception of surgical trainees towards M&M conferences.

The study is a questionnaire-based survey among surgical trainees of the Department of Surgery, Philippine General Hospital (PGH), for the training year of 2023. The survey consisted of 24 questions on their perception regarding the conduct of M&M. A Likert scale was used by the respondents to rate their perceptions (1 – negative, 10 – positive). Descriptive analysis and ANOVA were used to summarize the responses to the survey.

A total of 64 surgical trainees from the Department of Surgery responded to the survey (response rate = 71.9%). Most respondents (68.8%) reported that the ideal frequency of M&M conferences is once a month. 78.1% were not aware of the inclusion criteria of the cases discussed in the departmental M&M conferences. Most reported (64.1%) that M&M conferences did not regularly include data on outpatient events. A mean rating of 5.2 was observed among surgical trainees on how judgmental they feel about the environment of M&M conferences. Surgical trainees were willing to talk openly about their complications (mean rating 7.1). They were fearful of criticism (mean rating 4.4) and the negative repercussions of their presentations (mean rating 4.1) during M&M conferences. The respondents perceive M&M conferences to be conducive for learning and service improvement with both having a mean rating of 7.8. Most felt that M&M conferences focused on the individual performance (mean rating 7.3) while participants were divided regarding the focus on systems and processes (mean rating of 5.6). In terms of dissemination, about half (45.3%) mentioned that they did not know how the discussions/outcomes were disseminated following an M&M conference. The mean rating of willingness to talk openly of complications were significantly higher among senior residents (7.7) compared to junior residents (6.3) (p=0.008).

This study observed variability in the perceptions of surgical trainees on M&M conferences. Surgical trainees tend to feel fear of criticism and negative repercussions during M&M conferences. There are opportunities for improving the format of M&M in terms of clarity of inclusion criteria and dissemination, and focusing on systems and processes rather than individual faults.

BACKGROUND

The migration from classroom learning to real patient encounters during clinical clerkship is a transformative journey that carries with it many challenges which serve as rich sources of meaning. The actual patient interactions are pivotal opportunities that provide transcendental meanings which contribute to the well-rounded development of medical clerks, ultimately enhancing their ability to deliver better patient care.

Utilizing a qualitative phenomenological approach, the study allowed exploration of intricate layers of meaning embedded within the encounters of three female medical clerks in a medical university hospital in Manila, Philippines. The gathered narratives were analyzed and meanings were derived from these statements. The identified meanings were then organized into themes and essential insights that represented the core essence of the phenomenon being studied.

The reflections extracted from narratives revealed the emergence of 10 significant major themes stemming from medical clerks’ patient encounters. These encounters were consistently described as a sacred responsibility, providing opportunities for profound connections, resilience, deepened faith and comprehensive personal and professional development within a caring and compassionate environment.

The transformative journey was marked by profound personal and spiritual growth among medical clerks. Beyond developing their clinical skills, they experienced a transcendence that spoke to human desire for meaning beyond the material world. This "spirituality of encounter" fostered deeper connections with patients and enriched their perspectives on clinical practice that can further enhance their holistic development as medical students.

INTRODUCTION

Documenting a research participant’s awareness of the bill of rights is achieved with an informed consent. In recent years, the informed consent document has increasingly become confounding to research participants in its complexity. As such, the awareness of research participants’ bill of rights has emerged as a lingering issue since studies that test awareness of research participants’ bill of rights are limited. Hence, this study aimed to determine the participants’ awareness of the bill of rights after an educational intervention.

A quasi-experimental study was done where participants’ awareness of clinical trial participants’ bill of rights was determined after an educational intervention.

There was a significant difference (pCONCLUSIONS

Significant difference in the awareness of bill of rights was observed after the educational intervention. Additional intervention could be given to participants who are females, of older age group (middle age and older), did not complete high school, and the unemployed when they participate in clinical trials to ensure their awareness of the bill of rights of clinical trial participants. Varied learning materials must be given to participants to emphasize the clinical research objectives and activities as well.

BACKGROUND

The clinical learning environment (CLE) significantly influenced the nursing students' learning experience. While clinical learning is the heart of nursing education, certain non-academic factors might be influenced by CLE. Consequently, CLE may be affected during a health crisis like the COVID-19 pandemic.

To determine the relationship between nursing students’ CLE and their academic grit, self-esteem, and caring behaviors in the Central Philippines.

A descriptive cross-sectional study was conducted involving 462 nursing students enrolled during the COVID-19 pandemic. A purposive sampling technique was used to select the participants. Four self-report questionnaires were adopted to gather the data: a 42-item Clinical Learning Environment Inventory (CLEI) scale, short-form Grit (Grit-S) scale, Rosenberg’s Self-Esteem (RSE) scale, and Caring Behavior Inventory (CBI-24) scale. Spearman rho and rank-biserial correlation tools were used to analyze the data.

The results indicated that the clinical learning environment was positively associated with academic grit, selfesteem, and caring behavior. Some profiles of the participants, such as age, sex, year level, type of school, leadership experiences, clinical setting experience, and willingness to be a nurse, were significantly associated with the clinical learning environment, academic grit, self-esteem, and/or caring behavior.

Students’ CLE influences their academic grit, self-esteem, and caring behavior. That is, students who reported a more positive perception of CLE, the higher their academic grit, self-esteem, and caring behaviors. Furthermore, some students’ profile characteristics influence CLE, academic grit, self-esteem, and caring behavior. Enhancing CLE while promoting grit, self-esteem, and caring behaviors of nursing students affiliated with hospitals or any clinical learning settings and promoting alternative means of meeting CLE competencies when face-to-face interactions are restricted during a health crisis are recommended.

Artificial intelligence (AI) technology enhances the function of acupuncture clinical decision support system (CDSS) by promoting the accuracy of its diagnosis, assisting the formulation of personalized therapeutic regimen, and realizing the scientific and precise evaluation of its therapeutic effect. This paper deeply analyzes the unique advantages of AI-based acupuncture CDSS, including the intelligence and high efficiency. Besides, it points out the challenges of data security, the lack of model interpretation and the complexity of interdisciplinary cooperation in the development of acupuncture CDSS. With the continuous development and improvement of AI technology, acupuncture CDSS is expected to play a more important role in the fields of personalized medicine, telemedicine and disease prevention, and to further advance the efficiency and effect of acupuncture treatment, drive the modernization of acupuncture, and enhance its position and influence in the global healthcare system.
Humans ; Acupuncture Therapy ; Artificial Intelligence ; Decision Support Systems, Clinical

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male

BACKGROUND: Gluconeogenesis is a critical metabolic pathway for maintaining glucose homeostasis, and its dysregulation can lead to glycometabolic disorders. This study aimed to identify hub biomarkers of these disorders to provide a theoretical foundation for enhancing diagnosis and treatment. METHODS: Gene expression profiles from liver tissues of three well-characterized gluconeogenesis mouse models were analyzed to identify commonly differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA), machine learning techniques, and diagnostic tests on transcriptome data from publicly available datasets of type 2 diabetes mellitus (T2DM) patients were employed to assess the clinical relevance of these DEGs. Subsequently, we identified hub biomarkers associated with gluconeogenesis-related glycometabolic disorders, investigated potential correlations with immune cell types, and validated expression using quantitative polymerase chain reaction in the mouse models. RESULTS: Only a few common DEGs were observed in gluconeogenesis-related glycometabolic disorders across different contributing factors. However, these DEGs were consistently associated with cytokine regulation and oxidative stress (OS). Enrichment analysis highlighted significant alterations in terms related to cytokines and OS. Importantly, osteomodulin ( OMD ), apolipoprotein A4 ( APOA4 ), and insulin like growth factor binding protein 6 ( IGFBP6 ) were identified with potential clinical significance in T2DM patients. These genes demonstrated robust diagnostic performance in T2DM cohorts and were positively correlated with resting dendritic cells. CONCLUSIONS Gluconeogenesis-related glycometabolic disorders exhibit considerable heterogeneity, yet changes in cytokine regulation and OS are universally present. OMD , APOA4 , and IGFBP6  may serve as hub biomarkers for gluconeogenesis-related glycometabolic disorders.
Machine Learning ; Humans ; Computational Biology/methods* ; Biomarkers/metabolism* ; Diabetes Mellitus, Type 2/genetics* ; Animals ; Mice ; Gluconeogenesis/physiology* ; Gene Expression Profiling ; Transcriptome/genetics* ; Gene Regulatory Networks/genetics* ; Clinical Relevance

Basket trial, as an innovative clinical trial design concept, marks the transformation of medical research from the traditional large-scale and single-disease treatment to the precise and individualized treatment. By gradually incorporating the Bayesian method during development, the trial design becomes more scientific and reasonable and increases its efficiency. The fundamental principle of the Bayesian method is the utilization of prior knowledge in conjunction with new observational data to dynamically update the posterior probability. This flexibility enhances the basket trial's capacity to effectively adapt to variations during the research process. Consequently, it enables researchers to dynamically adjust research strategies based on accumulated data and improve the predictive accuracy regarding treatment responses. In addition, the design concept of the basket trial aligns with the traditional Chinese medicine(TCM) principle of "homotherapy for heteropathy". The principle of "homotherapy for heteropathy" emphasizes that under certain conditions, different diseases may have the same treatment. Similarly, basket trials allow using a uniform trial design across multiple diseases, offering enhanced operational and significant practical value in the realm of TCM, particularly within the context of syndrome-based disease research. By introducing basket trials, the design of TCM clinical studies will be more scientific and yield higher-quality evidence. This study systematically categorized various Bayesian methods and models utilized in basket trials, evaluated their strengths and weaknesses, and identified their appropriate application contexts, so as to offer a practical guide for designing basket trials in the realm of TCM.
Bayes Theorem ; Humans ; Medicine, Chinese Traditional/methods* ; Research Design ; Clinical Trials as Topic/methods* ; Drugs, Chinese Herbal/therapeutic use*