Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2024-03-11 Cooperative journals: 《中国全科医学》
Abstract： Background Carotid atherosclerosis（CAS）is a significant indicator of early systemic atherosclerosis. Previous studies have demonstrated a close relationship between elevated remnant cholesterol（RC） levels and the pathogenesis of CAS. However，limited information is available regarding the association between RC and the development of CAS in menopausal women. Objective To investigate the correlation between RC and the pathogenesis of CAS in menopausal women. Methods A total of 307 menopausal women from Fengxiang Town，Anding District，Dingxi City were selected as the research subjects. These women had participated in the national high-risk stroke screening project and completed carotid artery ultrasound examination between January 2020 and October 2023. General information on the ordinary people was collected andparticipants' characteristics of the carotid artery intima were analyzed by means of using color doppler ultrasound. Based on the cervical ultrasound results，the subjects were divided into CAS group and non-CAS group. Spearman rank correlation analysis was used to explore the correlation between RC and other risk factors for CAS. Furthermore，multifactor Logistic regression was employed to analyze and explore the correlation between RC and CAS in menopausal women. Results The findings revealed that participants in the CAS group has higher levels than those in the non-CAS group in terms of menopausal female age，history of stroke and transient ischemic attack（TIA），fasting plasma glucose（FPG），total cholesterol（TC），low density lipoprotein cholesterol（LDL-C），RC and pulse pressure（P<0.05）. Spearman rank correlation analysis indicated a positive correlation between RC and FPG as well as TC（rs=0.113，0.280，P<0.05），while a negative correlation was observed with LDL-C（rs=-0.112， P<0.05）. Furthermore，multivariate logistic regression analysis identified high RC levels（OR=1.539，95%CI=1.185-1.999， P=0.001），age（OR=1.059，95%CI=1.003-1.117，P=0.038），and history of stroke and TIA（OR=1.910，95%CI=1.047- 3.485，P=0.035） as risk factors for the onset of CAS in menopausal women. The menopausal women were further divided into high RC（RC ≥ 0.70）and low RC（RC<0.70）groups based on the median RC. The high RC group had a higher proportion of women with dyslipidemia，CAS，waist circumference，BMI，and TG compared to the low RC group（P<0.05）. Additionally， the high RC group had lower levels of high density lipoprotein cholesterol（HDL-C）compared to the low RC group（P<0.05）. Conclusion High RC levels are associated with CAS in menopausal women and may be an independent risk factor for CAS in menopausal women.
Subjects: Medicine, Pharmacy >> Preventive Medicine and Hygienics submitted time 2024-01-02 Cooperative journals: 《中国全科医学》
Abstract： Background Recent studies have shown that over 40% of middle-aged individuals in China are affected by chronic comorbidities，a number that is on the rise， which reduces the quality of life but also increases the risk of premature death. However，research on the distribution and influencing factors of chronic comorbidities in middle-aged adults is still limited. Objective To provide a scientific basis for managing such patients by retrospectively analyzing the disease distribution and influencing factors of chronic comorbidities among middle-aged inpatients. Methods A total of 1 650 middle aged（45-59 years old）patients hospitalized in the department of general practice at Lanzhou University Second Hospital from July 1，2017，to February 28，2023 were selected as the study subjects， the demographics and chronic comorbidity data were collected. Multivariate Logistic regression analysis was employed to explore the influencing factors for various chronic comorbidities. Results Among the 1 650 middle-aged patients attending the department of general practice， 79 （4.8%），359 （21.8%）， and 1 212 （73.5%） patients suffered from 0， 1， and ≥ 2 chronic diseases， respectively. Comparison of gender， age， ethnicity， occupation， year of admission， and route of admission of patients with 0， 1， and ≥ 2 chronic diseases showed statistically significant differences（P<0.05）. The three most common chronic diseases were heart disease（66.1%，1 091/1 650），hypertension（41.1%，678/1 650），and cerebrovascular disease（20.7%，342/1 650）. The top three comorbid conditions with other chronic diseases were diabetes or hyperglycemia（97.3%，215/221），hypertension （97.1%，668/678），and dyslipidemia（96.1%，246/256）. Of the 1 650 middle-aged patients hospitalized in general practice， 581 （35.2%） had 2 chronic comorbidities and 455 （27.6%） had 3 chronic comorbidities. Among patients with two comorbidities，the most frequent combinations were heart disease+hypertension（22.7%，132/581），heart disease+chronic lung disease（13.1%，76/581），and heart disease+cerebrovascular disease（8.4%，49/581）； for three comorbidities，the top combinations were hypertension+heart disease+cerebrovascular disease（14.5%，66/455），hypertension+heart disease+diabetes or hyperglycemia（10.5%，48/455），and hypertension+heart disease+chronic lung disease（7.9%，36/455）. Multivariate Logistic regression analysis showed that ethnicity of Han（OR=26.778，95%CI=3.120-229.793），Hui（OR=46.143，95%CI=3.456-616.090），or Dongxiang（OR=52.966，95%CI=2.502-121.195）， and the admission year of 2020（OR=0.406，95%CI=0.168-0.981） were influencing factors for middle-aged inpatients with 1 chronic disease（P<0.05）.For ≥ 2 chronic diseases，influencing factors included 50-54 age group（OR=0.461，95%CI=0.266-0.801），being of Han（OR=3.783，95%CI=1.433-9.983）or Hui（OR=6.055，95%CI=1.107-33.126） ethnicity，occupation of farmer（OR=0.460，95%CI=0.252-0.839），and the year of admission being 2020（OR=0.416，95%CI=0.187-0.928）（P<0.05）. Conclusion Approximately one-third of patients in the general practice department of tertiary hospitals are middle-aged，and most of them present with chronic comorbidities. While focusing on the chronic diseases of the elderly， there is a need for enhanced focus on chronic diseases management and clinical awarenes improvement in middle-aged individuals， enhancing the content of health management services provided by general practitioners，and establishing a more comprehensive model of general practice services.
Subjects: Medicine, Pharmacy >> Preventive Medicine and Hygienics submitted time 2023-07-31 Cooperative journals: 《中国全科医学》
Abstract： Background The number of researches on the application of artificial intelligence（AI）to diagnosis and treatment of gastric cancer has been increasing in recent years，but no researcher has systematically analyzed it using bibliometric analysis. Objective To analyze the researches on the application of AI to diagnosis and treatment of gastric cancer，explore the research hotspots and development trends from 2003 to 2022. Methods On November 06，2022，Web of Science（WOS）core collection database was searched by computer to obtain studies on the application of AI to gastric cancer diagnosis and treatment，and VOSviewer 1.6.18 software was used to visualize and analyze inter-country（region），inter-institution，and inter-author collaborations，co-cited authors，keyword co-occurrences and overlays through bibliometric analysis. CiteSpace 5.7.R5 software was used to perform institutional betweenness centrality analysis，journal biplot overlay，cluster analysis of co-cited literature for the last 6 years，Co-cited literature clustering timeline graph analysis and reference bursting analysis. Excel 2019 software was used to plot bar graphs of the volume of publications and descriptive analysis tables of countries（regions），institutions，journals，authors，cited references and keywords. Results A total of 703 papers were included，and the annual publication volume of the application of AI to gastric cancer diagnosis and treatment showed an overall increasing trend from 2003—2022，with a rapid increase after 2017 and the most rapid growth from 2019—2021. The top publishing country，institution and author was China，Chinese Academy of Sciences and TADA TOMOHIRO，respectively. The top three co-cited authors of BRAY FREDDIE，HIRASAWA TOSHIAKI and JIANG YUMING had made significant contributions to the field. Frontiers in Oncology was the journal with the highest publication volume，and Gastrointestinal Endoscopy was the most influential journal among the top ten journals for researches related to the application of AI to the diagnosis and treatment of gastric cancer. The citing journals mainly focused on the two fields of“Medicine，Medical，Clinical” and “Molecular，Biology，Immunology”. And the cited journals mainly focused on the two fields of “Molecular，Biology，Genetics”and “Health，Nursing，Medicine”. The top ranked literature in terms of total citations titled Global cancer statistics 2018：GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. All keywords were classified into 4 categories based on keyword clustering results，including AI-assisted biological research of gastric cancer，AI-assisted endoscopic diagnosis of gastric cancer，AI-assisted pathological diagnosis of gastric cancer，and AI-assisted non-endoscopic treatment and prognosis prediction of gastric cancer. Deep learning，convolutional neural network，imaging histology，gastrointestinal endoscopy，pathology and immunotherapy were the current research hotspots. Conclusion AI has a broad application prospect in gastric cancer diagnosis and treatment，and more and more scholars are devoted to AI in gastric cancer diagnosis and treatment. Currently，AI has been widely studied in the biology，diagnosis，staging，efficacy assessment and prognosis prediction of gastric cancer. The results of this study can provide a reference for scholars engaged in research work related to AI and gastric cancer.
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