1.Distribution characteristics and long-term change trend of body mass index in Chinese older adults aged 65 years and above
Li QI ; Chen CHEN ; Sirui CHEN ; Zhipei LI ; Sixin LIU ; Jinhui ZHOU ; Jiahao CHEN ; Hao QIAN ; Chun TAN ; Xianglong DAI ; Ziyue ZHU ; Jun WANG ; Xi MENG ; Wenhui SHI ; Yuebin LYU ; Xiaoming SHI
Chinese Journal of Preventive Medicine 2025;59(6):908-915
Objective:To describe the body mass index (BMI) level and long-term trends of Chinese older adults aged 65 and above.Methods:Older adults aged 65 and above from six waves (2002-2018) of the China Longitudinal Healthy Longevity Survey were selected as the study population. Multiple cross-sectional design with six survey waves conducted in 2002, 2005, 2008, 2011, 2014, and 2018 was adopted, enrolling 15 647, 15 358, 15 622, 9 166, 6 302, and 12 417 participants, respectively. Additionally, a total of 13, 755 participants were included in the cohort study design. Relevant information was collected through questionnaires and physical examinations. The χ2 trend test was used to compare the changes in the rates of underweight and overweight/obesity over the years, and the linear mixed-e?ects model (LMM) was used to fit trajectory curves of BMI changes with advancing age in older adults. Results:The baseline ages of the participants included in 2002, 2005, 2008, 2011, 2014, and 2018 were (85.16±11.26), (84.23±11.83), (84.99±12.16), (81.10±11.86), (78.89±11.30), and (83.08±12.42) years, respectively, with a relatively high proportion of females and rural residents. In the cohort study, the 13 755 participants had a median ( Q1, Q3) follow-up time of 6.5 (5.2, 10.0) years, with a cumulative follow-up duration of 109 041 person-years. In each wave, males had higher BMI than females, urban residents had higher BMI than rural residents, and BMI gradually decreased with increasing age (all P<0.001). The mean BMI of older adults in China increased from (19.37±3.80) kg/m2 in 2002 to (22.04±4.01) kg/m2 in 2018 ( P<0.001). Across all survey years, the prevalence of underweight was consistently higher in women than in men and in rural areas than in urban areas, with an upward trend as age increased (all P<0.001). In 2018, the underweight rates in the 65-79, 80-89, 90-99, and ≥100-year-old age groups were 8.0%, 16.7%, 26.2%, and 35.5%, respectively. Meanwhile, the prevalence of overweight/obesity was higher in men than in women and in urban areas than in rural areas, showing a declining trend with advancing age (all P<0.001). The prevalence of underweight among the older adults decreased significantly from 45.2% in 2002 to 18.9% in 2018 ( P<0.001), while the prevalence of overweight/obesity increased from 11.0% in 1998 to 29.6% in 2018 ( P<0.001). The trajectory curves fitted by the LMM model showed that individuals born in later decades had higher BMI levels at the same age compared to earlier cohorts. Conclusion:From 2002 to 2018, the BMI level among Chinese older adults showed an increasing trend. The prevalence of underweight showed a declining trend, while the rates of obesity and overweight increased. However, the underweight rate remained notably high among the oldest old.
2.Research progress on big-data-driven analysis strategies for imbalanced data of rare events
Jiangjie ZHOU ; Yutong WANG ; Tian FENG ; Xianglong MENG ; Baosheng LIANG ; Shengfeng WANG
Chinese Journal of Pharmacoepidemiology 2025;34(8):952-961
Rare events are widely prevalent in various disciplines,including rare adverse reactions to vaccines and drugs,clinical rare diseases,and low-probability clinical outcomes.The reason for research interest on such events is that their occurrence often brings incalculable and serious consequences.In the context of big data,numerous methods have emerged for rare event data analysis,including sampling based,category weighting,ensemble learning,and deep learning.This article systematically summarizes the research progress of current rare event data analysis methods,and introduces their basic principles and applicable scenarios.By analyzing the advantages and disadvantages of existing methods,the challenges of rare event research are sorted out and summarized,and potential research directions in related fields are explored to provide references for researchers.
3.Reseavch on the Construction and Evolution of Core Competency Framework for Physician-Scientists Based on International Experiences
Hongyu XIAO ; Ziwen LONG ; Tian ZHAO ; Li LUO ; Xianglong LI ; Gepei ZHANG ; Ping ZHOU
Chinese Hospital Management 2025;45(12):42-47,58
Objective lt focuses on the pivotal role of physician-scientists as a central driving force in the advancement of research-oriented hospitals,with particular emphasis on mapping the cultivation pathways and structural framework of their core competencies,while integrating existing evidence to propose optimization strategies.Methods A systematic review was conducted using PubMed,Web of Science,Embase,CNKl,and Wanfang databases to identify studies published between 2000 and 2024 concerning the core competencies of physician-scientists.Results A total of 29 studies were included.The synthesized core competency framework comprises four domains:clinical research capacity,interdisciplinary integration ability,teamwork ability and leadership,and professional integrity and accountability.Conclusion The core competencies of physician-scientists exhibit a progressive trajectory aligned with career development.Future efforts should further clarify the professional role of physician-scientists and accelerate the research on the core competencies of physician-scientists in line with the requirements of job competence,thereby advancing the high-quality development of research-oriented hospitals.
4.Performance of a prompt engineering method for extracting individual risk factors of precocious puberty from electronic medical records.
Feixiang ZHOU ; Taowei ZHONG ; Guiyan YANG ; Xianglong DING ; Yan YAN
Journal of Central South University(Medical Sciences) 2025;50(7):1224-1233
OBJECTIVES:
Accurate identification of risk factors for precocious puberty is essential for clinical diagnosis and management, yet the performance of natural language processing methods applied to unstructured electronic medical record (EMR) data remains to be fully evaluated. This study aims to assess the performance of a prompt engineering method for extracting individual risk factors of precocious puberty from EMRs.
METHODS:
Based on the capacity and role-insight-statement-personality-experiment (CRISPE) prompt framework, both simple and optimized prompts were designed to guide the large language model GLM-4-9B in extracting 10 types of risk factors for precocious puberty from 653 EMRs. Accuracy, precision, recall, and F1-score were used as evaluation metrics for the information extraction task.
RESULTS:
Under simple and optimized prompt conditions, the overall accuracy, precision, recall, and F1-score of the model were 84.18%, 98.09%, 81.99%, and 89.32% versus 97.15%, 98.31%, 98.16%, and 98.23%, respectively. The optimized prompts achieved more stable performance across age (<9 years vs ≥9 years) and visit-time (<2023 vs ≥2023) subgroups compared with simple prompts. The accuracy range for extracting each risk factor was 60.03%-97.24%, while with optimized prompts, the range improved to 92.19%-99.85%. The largest performance improvement occurred for "beverage intake" (60.03% vs 92.19%), and the smallest for "maternal age of menarche" (97.24% vs 99.23%). In comparing distributions among simple prompts, optimized prompts, and ground truth, statistically significant differences were observed for snack intake, beverage intake, soy milk intake, honey intake, supplement use, tonic use, sleep quality, and sleeping with the light on (all P<0.001), while exercise (P=0.966) and maternal menarche age (P=0.952) showed no significant differences.
CONCLUSIONS
Compared with simple prompts, optimized prompts substantially improved the extraction performance of individual risk factors for precocious puberty from EMRs, underscoring the critical role of prompt engineering in enhancing large language model performance.
Humans
;
Puberty, Precocious/epidemiology*
;
Risk Factors
;
Electronic Health Records
;
Female
;
Child
;
Natural Language Processing
5.Parabacteroides distasonis promotes liver regeneration by increasing β-hydroxybutyric acid (BHB) production and BHB-driven STAT3 signals.
Manlan GUO ; Xiaowen JIANG ; Hui OUYANG ; Xianglong ZHANG ; Shuaishuai ZHANG ; Peng WANG ; Guofang BI ; Ting WU ; Wenhong ZHOU ; Fengting LIANG ; Xiao YANG ; Shicheng FAN ; Jian-Hong FANG ; Peng CHEN ; Huichang BI
Acta Pharmaceutica Sinica B 2025;15(3):1430-1446
The liver regenerative capacity is crucial for patients with end-stage liver disease following partial hepatectomy (PHx). The specific bacteria and mechanisms regulating liver regeneration post-PHx remain unclear. This study demonstrated dynamic changes in the abundance of Parabacteroides distasonis (P. distasonis) post-PHx, correlating with hepatocyte proliferation. Treatment with live P. distasonis significantly promoted hepatocyte proliferation and liver regeneration after PHx. Targeted metabolomics revealed a significant positive correlation between P. distasonis and β-hydroxybutyric acid (BHB), as well as hyodeoxycholic acid and 3-hydroxyphenylacetic acid in the gut after PHx. Notably, treatment with BHB, but not hyodeoxycholic acid or 3-hydroxyphenylacetic acid, significantly promoted hepatocyte proliferation and liver regeneration in mice after PHx. Moreover, STAT3 inhibitor Stattic attenuated the promotive effects of BHB on cell proliferation and liver regeneration both in vitro and in vivo. Mechanistically, P. distasonis upregulated the expression of fatty acid oxidation-related proteins, and increased BHB levels in the liver, and then BHB activated the STAT3 signaling pathway to promote liver regeneration. This study, for the first time, identifies the involvement of P. distasonis and its associated metabolite BHB in promoting liver regeneration after PHx, providing new insights for considering P. distasonis and BHB as potential strategies for promoting hepatic regeneration.
6.Expert consensus on the clinical strategies for orthodontic treatment with clear aligners.
Yan WANG ; Hu LONG ; Zhihe ZHAO ; Ding BAI ; Xianglong HAN ; Jun WANG ; Bing FANG ; Zuolin JIN ; Hong HE ; Yuxin BAI ; Weiran LI ; Min HU ; Yanheng ZHOU ; Hong AI ; Yuehua LIU ; Yang CAO ; Jun LIN ; Huang LI ; Jie GUO ; Wenli LAI
International Journal of Oral Science 2025;17(1):19-19
Clear aligner treatment is a novel technique in current orthodontic practice. Distinct from traditional fixed orthodontic appliances, clear aligners have different material features and biomechanical characteristics and treatment efficiencies, presenting new clinical challenges. Therefore, a comprehensive and systematic description of the key clinical aspects of clear aligner treatment is essential to enhance treatment efficacy and facilitate the advancement and wide adoption of this new technique. This expert consensus discusses case selection and grading of treatment difficulty, principle of clear aligner therapy, clinical procedures and potential complications, which are crucial to the clinical success of clear aligner treatment.
Humans
;
Consensus
;
Orthodontic Appliance Design
;
Orthodontic Appliances, Removable
;
Tooth Movement Techniques/methods*
;
Malocclusion/therapy*
;
Orthodontics, Corrective/instrumentation*
7.Distribution characteristics and long-term change trend of body mass index in Chinese older adults aged 65 years and above
Li QI ; Chen CHEN ; Sirui CHEN ; Zhipei LI ; Sixin LIU ; Jinhui ZHOU ; Jiahao CHEN ; Hao QIAN ; Chun TAN ; Xianglong DAI ; Ziyue ZHU ; Jun WANG ; Xi MENG ; Wenhui SHI ; Yuebin LYU ; Xiaoming SHI
Chinese Journal of Preventive Medicine 2025;59(6):908-915
Objective:To describe the body mass index (BMI) level and long-term trends of Chinese older adults aged 65 and above.Methods:Older adults aged 65 and above from six waves (2002-2018) of the China Longitudinal Healthy Longevity Survey were selected as the study population. Multiple cross-sectional design with six survey waves conducted in 2002, 2005, 2008, 2011, 2014, and 2018 was adopted, enrolling 15 647, 15 358, 15 622, 9 166, 6 302, and 12 417 participants, respectively. Additionally, a total of 13, 755 participants were included in the cohort study design. Relevant information was collected through questionnaires and physical examinations. The χ2 trend test was used to compare the changes in the rates of underweight and overweight/obesity over the years, and the linear mixed-e?ects model (LMM) was used to fit trajectory curves of BMI changes with advancing age in older adults. Results:The baseline ages of the participants included in 2002, 2005, 2008, 2011, 2014, and 2018 were (85.16±11.26), (84.23±11.83), (84.99±12.16), (81.10±11.86), (78.89±11.30), and (83.08±12.42) years, respectively, with a relatively high proportion of females and rural residents. In the cohort study, the 13 755 participants had a median ( Q1, Q3) follow-up time of 6.5 (5.2, 10.0) years, with a cumulative follow-up duration of 109 041 person-years. In each wave, males had higher BMI than females, urban residents had higher BMI than rural residents, and BMI gradually decreased with increasing age (all P<0.001). The mean BMI of older adults in China increased from (19.37±3.80) kg/m2 in 2002 to (22.04±4.01) kg/m2 in 2018 ( P<0.001). Across all survey years, the prevalence of underweight was consistently higher in women than in men and in rural areas than in urban areas, with an upward trend as age increased (all P<0.001). In 2018, the underweight rates in the 65-79, 80-89, 90-99, and ≥100-year-old age groups were 8.0%, 16.7%, 26.2%, and 35.5%, respectively. Meanwhile, the prevalence of overweight/obesity was higher in men than in women and in urban areas than in rural areas, showing a declining trend with advancing age (all P<0.001). The prevalence of underweight among the older adults decreased significantly from 45.2% in 2002 to 18.9% in 2018 ( P<0.001), while the prevalence of overweight/obesity increased from 11.0% in 1998 to 29.6% in 2018 ( P<0.001). The trajectory curves fitted by the LMM model showed that individuals born in later decades had higher BMI levels at the same age compared to earlier cohorts. Conclusion:From 2002 to 2018, the BMI level among Chinese older adults showed an increasing trend. The prevalence of underweight showed a declining trend, while the rates of obesity and overweight increased. However, the underweight rate remained notably high among the oldest old.
8.Research progress on big-data-driven analysis strategies for imbalanced data of rare events
Jiangjie ZHOU ; Yutong WANG ; Tian FENG ; Xianglong MENG ; Baosheng LIANG ; Shengfeng WANG
Chinese Journal of Pharmacoepidemiology 2025;34(8):952-961
Rare events are widely prevalent in various disciplines,including rare adverse reactions to vaccines and drugs,clinical rare diseases,and low-probability clinical outcomes.The reason for research interest on such events is that their occurrence often brings incalculable and serious consequences.In the context of big data,numerous methods have emerged for rare event data analysis,including sampling based,category weighting,ensemble learning,and deep learning.This article systematically summarizes the research progress of current rare event data analysis methods,and introduces their basic principles and applicable scenarios.By analyzing the advantages and disadvantages of existing methods,the challenges of rare event research are sorted out and summarized,and potential research directions in related fields are explored to provide references for researchers.
9.Reseavch on the Construction and Evolution of Core Competency Framework for Physician-Scientists Based on International Experiences
Hongyu XIAO ; Ziwen LONG ; Tian ZHAO ; Li LUO ; Xianglong LI ; Gepei ZHANG ; Ping ZHOU
Chinese Hospital Management 2025;45(12):42-47,58
Objective lt focuses on the pivotal role of physician-scientists as a central driving force in the advancement of research-oriented hospitals,with particular emphasis on mapping the cultivation pathways and structural framework of their core competencies,while integrating existing evidence to propose optimization strategies.Methods A systematic review was conducted using PubMed,Web of Science,Embase,CNKl,and Wanfang databases to identify studies published between 2000 and 2024 concerning the core competencies of physician-scientists.Results A total of 29 studies were included.The synthesized core competency framework comprises four domains:clinical research capacity,interdisciplinary integration ability,teamwork ability and leadership,and professional integrity and accountability.Conclusion The core competencies of physician-scientists exhibit a progressive trajectory aligned with career development.Future efforts should further clarify the professional role of physician-scientists and accelerate the research on the core competencies of physician-scientists in line with the requirements of job competence,thereby advancing the high-quality development of research-oriented hospitals.
10.Clinical observation of venetoclax combined with homoharringtonine and cytarabine in the treatment of acute myeloid leukemia
Ling ZHOU ; Qiuyuan PENG ; Pan ZHAO ; Jin WEI ; Xiaojing LIN ; Xingli ZOU ; Wenfeng LUO ; Jing WANG ; Kunying XIE ; Xianglong LI ; Yang LIU ; Xun NI
China Pharmacy 2024;35(14):1743-1747
OBJECTIVE To observe the short-term efficacy and safety of venetoclax combined with homoharringtonine and cytarabine in the treatment of acute myeloid leukemia (AML). METHODS The data of 40 newly diagnosed AML patients admitted to our hospital from October 2022 to November 2023 were retrospectively collected and divided into observation group and control group according to treatment plan, with 20 cases in each group. The patients in the control group were given Daunorubicin hydrochloride for injection+Cytarabine for injection, and the patients in the observation group were given Venetoclax tablets+ Homoharringtonine injection+Cytarabine for injection. The patients in both groups were given relevant medicine, with 28 days as one cycle. The short-term efficacy, negative rate of minimal residual disease (MRD), duration of granulocyte deficiency, duration of platelet (PLT) <20×109 L-1, transfusion volume of suspended red blood cells and platelet, and the occurrence of adverse drug reactions were evaluated in both groups after 1 cycle of induction chemotherapy. RESULTS The complete remission or complete remission with incomplete hematologic recovery (CR/CRi) rate in the observation group was significantly higher than control group (P<0.05), and the negative rate of MRD in the observation group was also significantly higher than control group (P<0.05). However, in low-, medium- and high-risk patients, there was no statistical significance in CR/CRi rates between the two groups (P>0.05). There were no significant differences in the duration of agranulocytosis, the duration of PLT <20×109 L-1, the amount of suspended red blood cell transfusion, the amount of platelet transfusion, the incidence of hematologic toxicity and the incidence of non-hematologic toxicity between 2 groups (P>0.05). CONCLUSIONS Venetoclax combined with homoharringtonine and cytarabine show good short-term efficacy and safety in the treatment of AML.

Result Analysis
Print
Save
E-mail