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1.
Chinese Medical Journal ; (24): 82-86, 2024.
Article in English | WPRIM | ID: wpr-1007663

ABSTRACT

INTRODUCTION@#Observational studies have revealed an association between waist circumference (WC) and atrial fibrillation (AF). However, it is difficult to infer a causal relationship from observational studies because the observed associations could be confounded by unknown risk factors. Therefore, the causal role of WC in AF is unclear. This study was designed to investigate the causal association between WC and AF using a two-sample Mendelian randomization (MR) analysis.@*METHODS@#In our two-sample MR analysis, the genetic variation used as an instrumental variable for MR was acquired from a genome-wide association study (GWAS) of WC (42 single nucleotide polymorphisms with a genetic significance of P <5 × 10 -8 ). The data of WC (from the Genetic Investigation of ANthropometric Traits consortium, containing 232,101 participants) and the data of AF (from the European Bioinformatics Institute database, containing 55,114 AF cases and 482,295 controls) were used to assess the causal role of WC on AF. Three different approaches (inverse variance weighted [IVW], MR-Egger, and weighted median regression) were used to ensure that our results more reliable.@*RESULTS@#All three MR analyses provided evidence of a positive causal association between high WC and AF. High WC was suggested to increase the risk of AF based on the IVW method (odds ratio [OR] = 1.43, 95% confidence interval [CI], 1.30-1.58, P = 2.51 × 10 -13 ). The results of MR-Egger and weighted median regression exhibited similar trends (MR-Egger OR = 1.40 [95% CI, 1.08-1.81], P = 1.61 × 10 -2 ; weighted median OR = 1.39 [95% CI, 1.21-1.61], P = 1.62 × 10 -6 ). MR-Egger intercepts and funnel plots showed no directional pleiotropic effects between high WC and AF.@*CONCLUSIONS@#Our findings suggest that greater WC is associated with an increased risk of AF. Taking measures to reduce WC may help prevent the occurrence of AF.


Subject(s)
Humans , Atrial Fibrillation/genetics , Genome-Wide Association Study , Waist Circumference/genetics , Computational Biology , Databases, Factual
2.
Journal of Biomedical Engineering ; (6): 51-59, 2023.
Article in Chinese | WPRIM | ID: wpr-970673

ABSTRACT

Fetal electrocardiogram (ECG) signals provide important clinical information for early diagnosis and intervention of fetal abnormalities. In this paper, we propose a new method for fetal ECG signal extraction and analysis. Firstly, an improved fast independent component analysis method and singular value decomposition algorithm are combined to extract high-quality fetal ECG signals and solve the waveform missing problem. Secondly, a novel convolutional neural network model is applied to identify the QRS complex waves of fetal ECG signals and effectively solve the waveform overlap problem. Finally, high quality extraction of fetal ECG signals and intelligent recognition of fetal QRS complex waves are achieved. The method proposed in this paper was validated with the data from the PhysioNet computing in cardiology challenge 2013 database of the Complex Physiological Signals Research Resource Network. The results show that the average sensitivity and positive prediction values of the extraction algorithm are 98.21% and 99.52%, respectively, and the average sensitivity and positive prediction values of the QRS complex waves recognition algorithm are 94.14% and 95.80%, respectively, which are better than those of other research results. In conclusion, the algorithm and model proposed in this paper have some practical significance and may provide a theoretical basis for clinical medical decision making in the future.


Subject(s)
Algorithms , Neural Networks, Computer , Electrocardiography , Databases, Factual , Fetus
3.
China Journal of Chinese Materia Medica ; (24): 1682-1690, 2023.
Article in Chinese | WPRIM | ID: wpr-970640

ABSTRACT

This study aimed to explore the underlying framework and data characteristics of Tibetan prescription information. The information on Tibetan medicine prescriptions was collected based on 11 Tibetan medicine classics, such as Four Medical Canons(Si Bu Yi Dian). The optimal classification method was used to summarize the information structure of Tibetan medicine prescriptions and sort out the key problems and solutions in data collection, standardization, translation, and analysis. A total of 11 316 prescriptions were collected, involving 139 011 entries and 63 567 pieces of efficacy information of drugs in prescriptions. The information on Tibe-tan medicine prescriptions could be summarized into a "seven-in-one" framework of "serial number-source-name-composition-efficacy-appendix-remarks" and 18 expansion layers, which contained all information related to the inheritance, processing, origin, dosage, semantics, etc. of prescriptions. Based on the framework, this study proposed a "historical timeline" method for mining the origin of prescription inheritance, a "one body and five layers" method for formulating prescription drug specifications, a "link-split-link" method for constructing efficacy information, and an advanced algorithm suitable for the research of Tibetan prescription knowledge discovery. Tibetan medicine prescriptions have obvious characteristics and advantages under the guidance of the theories of "three factors", "five sources", and "Ro-nus-zhu-rjes" of Tibetan medicine. Based on the characteristics of Tibetan medicine prescriptions, this study proposed a multi-level and multi-attribute underlying data architecture, providing new methods and models for the construction of Tibetan medicine prescription information database and knowledge discovery and improving the consistency and interoperability of Tibetan medicine prescription information with standards at all levels, which is expected to realize the "ancient and modern connection-cleaning up the source-data sharing", so as to promote the informatization and modernization research path of Tibetan medicine prescriptions.


Subject(s)
Medicine, Tibetan Traditional , Knowledge Discovery , Drug Prescriptions , Databases, Factual , Algorithms , Medicine, Chinese Traditional , Drugs, Chinese Herbal/therapeutic use
4.
China Journal of Chinese Materia Medica ; (24): 1132-1136, 2023.
Article in Chinese | WPRIM | ID: wpr-970585

ABSTRACT

In observational studies, herbal prescriptions are usually studied in the form of "similar prescriptions". At present, the classification of prescriptions is mainly based on clinical experience judgment, but there are some problems in manual judgment, such as lack of unified criteria, labor consumption, and difficulty in verification. In the construction of a database of integrated traditional Chinese and western medicine for the treatment of coronavirus disease 2019(COVID-19), our research group tried to classify real-world herbal prescriptions using a similarity matching algorithm. The main steps include 78 target prescriptions are determined in advance; four levels of importance labeling shall be carried out for the drugs of each target prescription; the combination, format conversion, and standardization of drug names of the prescriptions to be identified in the herbal medicine database; calculate the similarity between the prescriptions to be identified and each target prescription one by one; prescription discrimination is performed based on the preset criteria; remove the name of the prescriptions with "large prescriptions cover the small". Through the similarity matching algorithm, 87.49% of the real prescriptions in the herbal medicine database of this study can be identified, which preliminarily proves that this method can complete the classification of herbal prescriptions. However, this method does not consider the influence of herbal dosage on the results, and there is no recognized standard for the weight of drug importance and criteria, so there are some limitations, which need to be further explored and improved in future research.


Subject(s)
Humans , COVID-19 , Algorithms , Databases, Factual , Prescriptions , Plant Extracts
5.
China Journal of Chinese Materia Medica ; (24): 555-561, 2023.
Article in Chinese | WPRIM | ID: wpr-970492

ABSTRACT

This study was conducted to evaluate the efficacy and safety of Simotang Oral Liquid in the treatment of functional dyspepsia in adults. "Simotang Oral Liquid" "Simotang" "Si Mo Tang" "Si Mo Tang Oral Liquid" were used for retrieval of the relevant papers from CNKI, Wanfang, VIP, SinoMed, PubMed, Cochrane Library, Springer Link, and Web of Science from database inception to June 2021. Randomized controlled trial(RCT) of Simotang Oral Liquid in the treatment of functional dyspepsia in adults was screened out for Meta-analysis which was conducted in RevMan 5.3. A total of 16 RCTs were included. Meta-analysis showed that compared with the control group, Simotang Oral Liquid increased the total response rate and lowered the traditional Chinese medicine syndrome scores, serum cholecystokinin(CCK), serum nitric oxide(NO), and incidence of adverse reactions. However, the serum substance P(SP) had no statistical difference between the two groups. Simotang Oral Liquid is effective and safe in the treatment of functional dyspepsia in adults. However, this study has evidence and limitations, so the conclusions need to be further verified by large sample and multicenter clinical studies.


Subject(s)
Adult , Humans , Databases, Factual , Drugs, Chinese Herbal/therapeutic use , Dyspepsia/drug therapy , Medicine, Chinese Traditional , Multicenter Studies as Topic , Randomized Controlled Trials as Topic
6.
Chinese Medical Journal ; (24): 2050-2057, 2023.
Article in English | WPRIM | ID: wpr-1007573

ABSTRACT

BACKGROUND@#There are limited data on the resource utilization of total knee arthroplasty (TKA) in China. This study aimed to examine the length of stay (LOS) and inpatient charges of TKA in China, and to investigate their determinants.@*METHODS@#We included patients undergoing primary TKA in the Hospital Quality Monitoring System in China between 2013 and 2019. LOS and inpatient charges were obtained, and their associated factors were further assessed using multivariable linear regression.@*RESULTS@#A total of 184,363 TKAs were included. The LOS decreased from 10.8 days in 2013 to 9.3 days in 2019. The admission-to-surgery interval decreased from 4.6 to 4.2 days. The mean inpatient charges were 61,208.3 Chinese Yuan. Inpatient charges reached a peak in 2016, after which a gradual decrease was observed. Implant and material charges accounted for a dominating percentage, but they exhibited a downward trend, whereas labor-related charges gradually increased. Single marital status, non-osteoarthritis indication, and comorbidity were associated with longer LOS and higher inpatient charges. Female sex and younger age were associated with higher inpatient charges. There were apparent varieties of LOS and inpatient charges among provincial or non-provincial hospitals, hospitals with various TKA volume, or in different geographic regions.@*CONCLUSIONS@#The LOS following TKA in China appeared to be long, but it was shortened during the time period of 2013 to 2019. The inpatient charges dominated by implant and material charges exhibited a downward trend. However, there were apparent sociodemographic and hospital-related discrepancies of resource utilization. The observed statistics can lead to more efficient resource utilization of TKA in China.


Subject(s)
Humans , Male , Female , Middle Aged , Aged , Aged, 80 and over , Length of Stay , Fees and Charges , Arthroplasty, Replacement, Knee/economics , China , Databases, Factual , Inpatients
7.
Chinese Acupuncture & Moxibustion ; (12): 1315-1323, 2023.
Article in English | WPRIM | ID: wpr-1007489

ABSTRACT

OBJECTIVES@#To evaluate the report quality, methodological quality and evidence quality of the systematic reviews and meta-analyses (SRs/MAs) of acupuncture for in vitro fertilization-embryo transfer (IVF-ET).@*METHODS@#The SRs/MAs of acupuncture for IVF-ET were searched electronically from databases of CNKI, Wanfang, VIP, SinoMed, PubMed, Embase, Cochrane Library, from inception of each database to September 27th, 2022. Two reviewers independently screened the literature and extracted the data. Using PRISMA statement, the AMSTAR 2 scale and the GRADE system, the report quality, methodological quality and evidence quality of the included SRs/MAs were assessed.@*RESULTS@#A total of 28 SRs/MAs were included, with PRISMA scores ranging from 8.5 points to 27 points. The problems of report quality focused on protocol and registration, retrieval, risk of bias in studies, additional analysis, limitations and funding. The methodological quality of included studies was generally low, reflecting on items 2, 3, 7, 10, 12 and 16. A total of 85 outcome indexes were included in the GRADE system for evidence grade evaluation. Most of the evidences were low or very low in quality. The reasons for the downgrade were related to study limitations, inconsistency, imprecision and publication bias.@*CONCLUSIONS@#Acupuncture therapy improves the outcomes of IVF-ET, but the methodological quality and evidence quality of related SRs/MAs are low. It is recommended to conduct more high-quality studies in the future to provide more reliable evidences.


Subject(s)
Acupuncture Therapy/methods , Databases, Factual , Embryo Transfer , Fertilization in Vitro , Publication Bias , Systematic Reviews as Topic
8.
Chinese Acupuncture & Moxibustion ; (12): 1086-1093, 2023.
Article in Chinese | WPRIM | ID: wpr-1007447

ABSTRACT

OBJECTIVE@#To analyze the report status of outcomes and measurement instruments of randomized controlled trials (RCTs) of acupuncture for post-stroke dysphagia, so as to provide a basis for designing clinical trials and developing the core outcome set in acupuncture for post-stroke dysphagia.@*METHODS@#RCTs of acupuncture for post-stroke dysphagia were searched in databases i.e. CNKI, SinoMed, Wanfang, PubMed, EMbase, Web of Science and clinical trial registries i.e. ClinicalTrials.gov and Chinese Clinical Trial Registry (ChiCTR), from January 1st, 2012 to October 30th, 2021. By literature screening and data extraction, outcomes and measurement instruments were summarized and analyzed.@*RESULTS@#A total of 172 trials (including 165 RCTs and 7 ongoing trials registrations) were included, involving 91 outcomes. The outcomes could be classified into 7 domains according to functional attributes, namely clinical manifestation, physical and chemical examination, quality of life, TCM symptoms/syndromes, long-term prognosis, safety assessment and economic evaluation. It was found that there were various measurements instruments with large differences, inconsistent measurement time point and without discriminatively reporting primary or secondary outcomes.@*CONCLUSION@#The status quo of outcomes and measurement instruments of RCTs of acupuncture for post-stroke dysphagia is not conducive to the summary and comparison of each trial's results. Thus, it is suggested to develop a core outcome set for acupuncture for post-stroke dysphagia to improve the normative and research quality of their clinical trial design.


Subject(s)
Humans , Deglutition Disorders/therapy , Randomized Controlled Trials as Topic , Acupuncture Therapy , Databases, Factual , Physical Examination , Stroke/complications
9.
Annals of the Academy of Medicine, Singapore ; : 71-79, 2023.
Article in English | WPRIM | ID: wpr-970013

ABSTRACT

INTRODUCTION@#To compare epidemiological features and clinical presentations of deep infiltrating endometriosis with endometrioma and adenomyosis, as well as to identify risk factors for the respective histologically confirmed conditions.@*METHOD@#Patients undergoing index surgery at the National University Hospital, Singapore for endometriosis or adenomyosis over a 7-year period-from 2015 to 2021-were identified from hospital databases using the Table of Surgical Procedures coding. Social and epidemiological features of cases with histologically confirmed diagnoses of endometrioma only, adenomyosis only, and deep infiltrating endometriosis were compared. Significant variables from univariate analysis were entered into 3 binary multivariate logistic regression models to obtain independent risk factors for: deep infiltrating endometriosis versus endometrioma only, deep infiltrating endometriosis versus adenomyosis only, and adenomyosis only versus endometrioma only.@*RESULTS@#A total of 258 patients were included with 59 ovarian endometrioma only, 47 adenomyosis only, and 152 deep infiltrating endometrioses. Compared to endometrioma only, deep infiltrating endometriosis was associated with higher rates of severe dysmenorrhoea (odds ratio [OR] 2.80, 95% confidence interval [CI] 1.02-7.70) and out-of-pocket private surgical care (OR 4.72, 95% CI 1.85-12.04). Compared to adenomyosis only, deep infiltrating endometriosis was associated with a higher fertility desire (OR 13.47, 95% CI 1.01-180.59) and a lower body mass index (OR 0.89, 95% CI 0.79-0.99). In contrast, heavy menstrual bleeding was the hallmark of adenomyosis, being less common in patients with endometriosis.@*CONCLUSION@#Deep infiltrating endometriosis is associated with severe dysmenorrhoea, pain related to urinary and gastrointestinal tracts, higher fertility desire and infertility rate. Patients with pain symptomatology and subfertility should be referred early to a tertiary centre with the capability to diagnose and manage deep infiltrating endometriosis.


Subject(s)
Female , Humans , Endometriosis/surgery , Adenomyosis/surgery , Dysmenorrhea/etiology , Risk Factors , Databases, Factual
10.
Chinese Acupuncture & Moxibustion ; (12): 362-366, 2023.
Article in Chinese | WPRIM | ID: wpr-969999

ABSTRACT

The patents of acupuncture and moxibustion in China and abroad was analyzed, aiming to provide support for the innovative development of acupuncture industry. With the China Think Tank of Patent of Traditional Chinese Medicine and the PatSnap database as data sources, based on the mathematical statistics method, the application trend, legal status, patent types, transformation and distribution of major technical fields of acupuncture patents in China and abroad were analyzed. As a result, a total of 53,422 acupuncture patents were screened, involving 49 countries and 4 organizations. The patent types were mainly utility model patents. Although the application number of acupuncture patent had increased rapidly, the average patent conversion rate was generally low, approximately 4%. In the context of global economic integration, the acupuncture industry is developing at a high speed. It is suggested to take advantage of the "Belt and Road Initiative" to improve the international acceptance of acupuncture and moxibustion, adhere to the principle of attaching equal importance to the number and quality of patents, promote the in-depth cooperation of industry-university-research, and promote high-quality development of acupuncture and moxibustion.


Subject(s)
Humans , Moxibustion , Acupuncture Therapy , China , Medicine, Chinese Traditional , Databases, Factual
11.
Singapore medical journal ; : 155-162, 2023.
Article in English | WPRIM | ID: wpr-969674

ABSTRACT

Addressing weight stigma is essential to obesity management as it causes inequalities in healthcare and impacts the outcomes of health. This narrative review summarises systematic review findings about the presence of weight bias in healthcare professionals, and interventions to reduce weight bias or stigma in these professionals. Two databases (PubMed and Cumulative Index to Nursing and Allied Health Literature [CINAHL]) were searched. Seven eligible reviews were identified from 872 search results. Four reviews identified the presence of weight bias, and three investigated trials to reduce weight bias or stigma in healthcare professionals. The findings may help further research and the treatment, health and well-being of individuals with overweight or obesity in Singapore. Weight bias was prevalent among qualified and student healthcare professionals globally, and there is a lack of clear guidance for effective interventions to reduce it, particularly in Asia. Future research is essential to identify the issues and inform initiatives to reduce weight bias and stigma among healthcare professionals in Singapore.


Subject(s)
Humans , Weight Prejudice , Singapore , Asia , Databases, Factual , Health Facilities
12.
Journal of Biomedical Engineering ; (6): 474-481, 2023.
Article in Chinese | WPRIM | ID: wpr-981565

ABSTRACT

In the diagnosis of cardiovascular diseases, the analysis of electrocardiogram (ECG) signals has always played a crucial role. At present, how to effectively identify abnormal heart beats by algorithms is still a difficult task in the field of ECG signal analysis. Based on this, a classification model that automatically identifies abnormal heartbeats based on deep residual network (ResNet) and self-attention mechanism was proposed. Firstly, this paper designed an 18-layer convolutional neural network (CNN) based on the residual structure, which helped model fully extract the local features. Then, the bi-directional gated recurrent unit (BiGRU) was used to explore the temporal correlation for further obtaining the temporal features. Finally, the self-attention mechanism was built to weight important information and enhance model's ability to extract important features, which helped model achieve higher classification accuracy. In addition, in order to mitigate the interference on classification performance due to data imbalance, the study utilized multiple approaches for data augmentation. The experimental data in this study came from the arrhythmia database constructed by MIT and Beth Israel Hospital (MIT-BIH), and the final results showed that the proposed model achieved an overall accuracy of 98.33% on the original dataset and 99.12% on the optimized dataset, which demonstrated that the proposed model can achieve good performance in ECG signal classification, and possessed potential value for application to portable ECG detection devices.


Subject(s)
Humans , Electrocardiography , Algorithms , Cardiovascular Diseases , Databases, Factual , Neural Networks, Computer
13.
Journal of Biomedical Engineering ; (6): 465-473, 2023.
Article in Chinese | WPRIM | ID: wpr-981564

ABSTRACT

Arrhythmia is a significant cardiovascular disease that poses a threat to human health, and its primary diagnosis relies on electrocardiogram (ECG). Implementing computer technology to achieve automatic classification of arrhythmia can effectively avoid human error, improve diagnostic efficiency, and reduce costs. However, most automatic arrhythmia classification algorithms focus on one-dimensional temporal signals, which lack robustness. Therefore, this study proposed an arrhythmia image classification method based on Gramian angular summation field (GASF) and an improved Inception-ResNet-v2 network. Firstly, the data was preprocessed using variational mode decomposition, and data augmentation was performed using a deep convolutional generative adversarial network. Then, GASF was used to transform one-dimensional ECG signals into two-dimensional images, and an improved Inception-ResNet-v2 network was utilized to implement the five arrhythmia classifications recommended by the AAMI (N, V, S, F, and Q). The experimental results on the MIT-BIH Arrhythmia Database showed that the proposed method achieved an overall classification accuracy of 99.52% and 95.48% under the intra-patient and inter-patient paradigms, respectively. The arrhythmia classification performance of the improved Inception-ResNet-v2 network in this study outperforms other methods, providing a new approach for deep learning-based automatic arrhythmia classification.


Subject(s)
Humans , Arrhythmias, Cardiac/diagnostic imaging , Cardiovascular Diseases , Algorithms , Databases, Factual , Electrocardiography
14.
Journal of Biomedical Engineering ; (6): 458-464, 2023.
Article in Chinese | WPRIM | ID: wpr-981563

ABSTRACT

Sleep staging is the basis for solving sleep problems. There's an upper limit for the classification accuracy of sleep staging models based on single-channel electroencephalogram (EEG) data and features. To address this problem, this paper proposed an automatic sleep staging model that mixes deep convolutional neural network (DCNN) and bi-directional long short-term memory network (BiLSTM). The model used DCNN to automatically learn the time-frequency domain features of EEG signals, and used BiLSTM to extract the temporal features between the data, fully exploiting the feature information contained in the data to improve the accuracy of automatic sleep staging. At the same time, noise reduction techniques and adaptive synthetic sampling were used to reduce the impact of signal noise and unbalanced data sets on model performance. In this paper, experiments were conducted using the Sleep-European Data Format Database Expanded and the Shanghai Mental Health Center Sleep Database, and achieved an overall accuracy rate of 86.9% and 88.9% respectively. When compared with the basic network model, all the experimental results outperformed the basic network, further demonstrating the validity of this paper's model, which can provide a reference for the construction of a home sleep monitoring system based on single-channel EEG signals.


Subject(s)
China , Sleep Stages , Sleep , Electroencephalography , Databases, Factual
15.
Chinese Acupuncture & Moxibustion ; (12): 843-853, 2023.
Article in Chinese | WPRIM | ID: wpr-980805

ABSTRACT

The efficacy on chronic obstructive pulmonary disease (COPD) at stable stage treated with different methods of acupuncture and moxibustion was evaluated using network Meta-analysis method. The articles of the randomized controlled trial (RCT) on stable COPD treated with acupuncture and moxibustion were searched electronically in CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, Web of Science and Cochrane library. The search was conducted from the inception of the databases to March 20th, 2022. Data analysis was performed using R4.1.1, Stata16.0 and RevMan5.3 softwares. A total of 48 RCTs were included, involving 15 kinds of acupuncture and moxibustion interventions and a sample size of 3 900 cases. The results of network Meta-analysis showed that: ① For the forced expiratory volume in one second predicted (FEV1%), both the governor vessel moxibustion combined with conventional treatment (G+C therapy) and the yang-supplementing moxibustion combined with conventional treatment (Y+C therapy) obtained the better effect than that of the conventional treatment (P<0.05), and the G+C therapy was more effective compared with the thread-embedding therapy combined with conventional treatment (E+C therapy) and warm needling (P<0.05). ② Concerning to COPD assessment test (CAT) score, the results indicated that the Y+C therapy, and the mild moxibustion combined with conventional treatment (M+C therapy) were more effective when compared with the conventional treatment (P<0.05), and the effect of the Y+C therapy was better than that of the E+C therapy (P<0.05). ③ Regarding six-minute walking distance (6MWD), the effect of acupuncture combined with conventional treatment (A+C therapy) was better than that of either the E+C therapy or the conventional treatment (P<0.05). The effect of the G+C therapy was optimal for improving FEV1%, the Y+C therapy obtained the best effect for improving CAT score, and A+C therapy was the most effective for improving 6MWD. Due to the limitation of the quality and quantity of included studies, this conclusion needs to be further verified through high-quality RCT.


Subject(s)
Humans , Moxibustion , Network Meta-Analysis , Acupuncture Therapy , Databases, Factual , Pulmonary Disease, Chronic Obstructive/therapy
16.
Chinese Journal of Stomatology ; (12): 505-513, 2023.
Article in Chinese | WPRIM | ID: wpr-986120

ABSTRACT

Artificial intelligence revealed its application prospects that could bring change in oral medicine. Artificial intelligence related papers in oral medicine field increased year by year since the 1990s. In order to provide reference for further research, the literature on artificial intelligence studies and its application in oral medicine were retrieved from multiple databases and summarized. The evolution of hot spots on artificial intelligence and related state of the art technology in oral medicine were analyzed.


Subject(s)
Humans , Artificial Intelligence , Databases, Factual , Oral Medicine , Technology
17.
Chinese Journal of Epidemiology ; (12): 837-844, 2023.
Article in Chinese | WPRIM | ID: wpr-985570

ABSTRACT

Objective: To understand the status of autism spectrum disorder (ASD) cohort studies and explore the feasibility of constructing ASD disease-specific cohorts based on real-world data (RWD). Methods: ASD cohort studies published by December 2022 were collected by literature retrieval from major Chinese and English databases. And the characteristics of the cohort were summarized. Results: A total of 1 702 ASD cohort studies were included, and only 60 (3.53%) were from China. A total of 163 ASD-related cohorts were screened, of which 55.83% were birth cohorts, 28.22% were ASD-specific cohorts, and 4.91% were ASD high-risk cohorts. Most cohorts used RWD such as hospital registries or conducted community-based field surveys to obtain participant information and identified patients with ASD by scales or clinical diagnoses. The contents of the studies included ASD incidence and prognostic risk factors, ASD comorbidity patterns and the impact of ASD on self-health and their offspring's health. Conclusions: ASD cohort studies in developed countries have been in the advanced stage, while the Chinese studies are still in their infancy. RWD provides the data basis for ASD-specific cohort construction and offers new opportunities for research, but work such as case validation is still needed to ensure the scientific nature of cohort construction.


Subject(s)
Humans , Autism Spectrum Disorder , Cohort Studies , Databases, Factual
18.
Chinese Journal of Epidemiology ; (12): 575-580, 2023.
Article in Chinese | WPRIM | ID: wpr-985529

ABSTRACT

Objective: To analyze the global epidemiology of renal cell carcinoma (RCC) in 2020. Methods: The incidence and mortality data of RCC in the cooperative database GLOBOCAN 2020 of International Agency for Research on Cancer of WHO and the human development index (HDI) published by the United Nations Development Programme in 2020 were collated. The crude incidence rate (CIR), age-standardized incidence rate (ASIR), crude mortality rate (CMR), age-standardized mortality rate (ASMR) and mortality/incidence ratio (M/I) of RCC were calculated. Kruskale-Wallis test was used to analyze the differences in ASIR or ASMR among HDI countries. Results: In 2020, the global ASIR of RCC was 4.6/100 000, of which 6.1/100 000 for males and 3.2/100 000 for females and ASIR was higher in very high and high HDI countries than that in medium and low HDI countries. With the rapid increase of age after the age of 20, the growth rate of ASIR in males was faster than that in females, and slowed down at the age of 70 to 75. The truncation incidence rate of 35-64 years old was 7.5/100 000 and the cumulative incidence risk of 0-74 years old was 0.52%. The global ASMR of RCC was 1.8/100 000, 2.5/100 000 for males and 1.2/100 000 for females. The ASMR of males in very high and high HDI countries (2.4/100 000-3.7/100 000) was about twice that of males (1.1/100 000-1.4/100 000) in medium and low HDI countries, while the ASMR of female (0.6/100 000-1.5/100 000) did not show significant difference. ASMR continued to increase rapidly with age after the age of 40, and the growth rate of males was faster than that of females. The truncation mortality rate of 35-64 years old was 2.1/100 000, and the cumulative mortality risk of 0-74 years old was 0.20%. M/I decreases with the increase of HDI, with M/I as 0.58 in China, which was higher than the global average of 0.39 and the United States' 0.17. Conclusion: The ASIR and ASMR of RCC presented significant regional and gender disparities globally, and the heaviest burden was in very high HDI countries.


Subject(s)
Male , Humans , Female , Adult , Middle Aged , Infant, Newborn , Infant , Child, Preschool , Child , Adolescent , Young Adult , Aged , Carcinoma, Renal Cell/epidemiology , Incidence , Databases, Factual , China , Kidney Neoplasms/epidemiology , Global Health
19.
Chinese Journal of Traumatology ; (6): 363-368, 2023.
Article in English | WPRIM | ID: wpr-1009497

ABSTRACT

PURPOSE@#Hip fractures in elderly have a high mortality. However, there is limited literature on the excess mortality seen in hip fractures compared to the normal population. The purpose of this study was to compare the mortality of hip fractures with that of age and gender matched Indian population.@*METHODS@#There are 283 patients with hip fractures aged above 50 years admitted at single centre prospectively enrolled in this study. Patients were followed up for 1 year and the follow-up record was available for 279 patients. Mortality was assessed during the follow-up from chart review and/or by telephonic interview. One-year mortality of Indian population was obtained from public databases. Standardized mortality ratio (SMR) (observed mortality divided by expected mortality) was calculated. Kaplan-Meir analysis was used.@*RESULTS@#The overall 1-year mortality was 19.0% (53/279). Mortality increased with age (p < 0.001) and the highest mortality was seen in those above 80 years (aged 50 - 59 years: 5.0%, aged 60 - 69 years: 19.7%, aged 70 - 79 years: 15.8%, and aged over 80 years: 33.3%). Expected mortality of Indian population of similar age and gender profile was 3.7%, giving a SMR of 5.5. SMR for different age quintiles were: 3.9 (aged 50 - 59 years), 6.6 (aged 60 - 69 years), 2.2 (aged 70 - 79 years); and 2.0 (aged over 80 years). SMR in males and females were 5.7 and 5.3, respectively.@*CONCLUSIONS@#Indian patients sustaining hip fractures were about 5 times more likely to die than the general population. Although mortality rates increased with age, the highest excess mortality was seen in relatively younger patients. Hip fracture mortality was even higher than that of myocardial infarction, breast cancer, and cervical cancer.


Subject(s)
Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Asian People , Databases, Factual , Hip Fractures/mortality , Hospitalization , Risk Factors , India
20.
Chinese Journal of Traumatology ; (6): 267-275, 2023.
Article in English | WPRIM | ID: wpr-1009483

ABSTRACT

PURPOSE@#To systematically review the risk of permanent disability related to road traffic injuries (RTIs) and to determine the implications for future research regarding permanent impairment following road traffic crashes.@*METHODS@#We conducted this systematic review according to the preferred reporting items for systematic reviews and meta-analysis statement. An extended search of the literature was carried out in 4 major electronic databases for scientific research papers published from January 1980 to February 2020. Two teams include 2 reviewers each, screened independently the titles/abstracts, and after that, reviewed the full text of the included studies. The quality of the studies was assessed using the strengthening the reporting of observational studies in epidemiology (STROBE) checklist. A third reviewer was assessed any discrepancy and all data of included studies were extracted. Finally, the data were systematically analyzed, and the related data were interpreted.@*RESULTS@#Five out of 16 studies were evaluated as high-quality according to the STROBE checklist. Fifteen studies ranked the initial injuries according to the abbreviated injury scale 2005. Five studies reported the total risk of permanent medical impairment following RTIs which varied from 2% to 23% for car occupants and 2.8% to 46% for cyclists. Seven studies reported the risk of permanent medical impairment of the different body regions. Eleven studies stated the most common body region to develop permanent impairment, of which 6 studies demonstrated that injuries of the cervical spine and neck were at the highest risk of becoming permanent injured.@*CONCLUSION@#The finding of this review revealed the necessity of providing a globally validated method to evaluate permanent medical impairment following RTIs across the world. This would facilitate decision-making about traffic injuries and efficient management to reduce the financial and psychological burdens for individuals and communities.


Subject(s)
Humans , Accidents, Traffic , Disabled Persons , Abbreviated Injury Scale , Databases, Factual , Wounds and Injuries/etiology
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