Although patients with stage pT 2-3N 0M 0 thoracic esophageal squamous cell carcinoma are staged earlier, their postoperative local recurrence and distant metastasis rates are higher, resulting in a low five-year survival rate of such patients. The current neoadjuvant treatment for such patients is still in the research stage, and whether to give adjuvant radiotherapy and chemotherapy after surgery is still controversial. In addition, the prognostic factors of patients with pT 2-3N 0M 0 thoracic esophageal squamous cell carcinoma have not yet been clarified, and the causes of recurrence and metastasis are not yet clear. Therefore, it is of great significance to clarify treatment strategies and explore the impact of prognostic factors on improving the survival rate of such patients, which is expected to provide new directions for improving the prognosis and survival rate of patients with pT 2-3N 0M 0 thoracic esophageal squamous cell carcinoma.

Objective To evaluate the occupational health literacy (OHL) level and its influencing factors among individuals of six key industries from Jiulongpo District, Chongqing City. Methods A total of 2 022 frontline workers from six key industries in the Jiulongpo District of Chongqing City were selected as the research subjects using a cluster sampling method. The OHL level of the workers were assessed using the Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level among the 2 022 frontline workers was 51.43%. The OHL level in the four dimensions of basic knowledge of occupational health protection, healthy work practices and behaviors, legal knowledge of occupational health, and basic skills of occupational health protection were 81.45%, 56.08%, 43.42%, and 37.59%, respectively. The OHL levels of the six key industries from high to low were electrical machinery and equipment manufacturing, healthcare, education, express delivery/food delivery, transportation, and environmental hygiene, accounted for 91.43%, 61.98%, 52.64%, 40.58%, 36.70% and 31.15% (P<0.01). The results of logistic regression analysis showed that population of Han had higher OHL level than ethnic minorities (P<0.01), married individuals had lower OHL level than unmarried individuals (P<0.05), individuals with college education or above had higher OHL level than those with junior high school education or below (P<0.01), and higher personal monthly income was associated with higher OHL levels (all P<0.05). The OHL levels of workers of environmental hygiene, transportation, education, express delivery/food delivery, and healthcare were lower than those in electrical machinery and equipment manufacturing (all P<0.01). Conclusion The OHL level among occupational populations in the six key industries in Jiulongpo District, Chongqing City, needs to be further improved. And the OHL monitoring and intervention should be focused on the occupational population of express delivery/food delivery industry, transportation, environmental hygiene, and occupational population with low income, low educated, and ethnic minorities.

This article summarizes Professor Tan Yong's approach to the treatment of polycystic ovary syndrome(PCOS)based on the lipid turbidity theory.It is believed that multiple factors such as improper diet,emotional injury,insufficient endowment,and im-proper work and rest lead to dysfunction of spleen and stomach,which cannot normally transport and transform water and grain essence and body fluid,and lipids cannot be effectively transformed and utilized,thus accumulating in the body to form lipid turbidity.Lipid turbidity is not only a pathological product but also an independent pathogenic factor,characterized by stickiness,concealment,heavy turbidity,lodging in collaterals,combined pathogenicity,and obstruction of qi and blood.Based on this theory,the etiology and patho-genesis of PCOS are explored,with its pathological progression divided into three stages:spleen deficiency and liver depression,phlegm and blood stasis,and kidney deficiency with lipid turbidity.In the early stage,impaired spleen transportation and liver disper-sion functions lead to lipid metabolism disorders,forming lipid turbidity.In the middle stage,lipid stagnation and obstruction of the meridians affect the circulation of qi and blood,leading to internal stasis and the formation of a pathological pattern of phlegm and blood stasis.In the later stage,prolonged illness affects the kidney,resulting in kidney qi deficiency,unresolved lipid turbidity,and imbal-ance of qi,blood,yin and yang,which leads to long-term metabolic and reproductive dysfunction.In terms of treatment,emphasis is placed on strengthening the spleen and eliminating turbidity,soothing the liver and nourishing blood in the early stage;eliminating phlegm and blood stasis,unblocking the collaterals and eliminating lipid in the middle stage;nourishing the kidney and replenishing essence,and regulating yin and yang in the late stage,providing new insights and theoretical basis for the integrated diagnosis and treatment of PCOS with traditional Chinese and Western medicine.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Recently, intelligent care is gradually changing the traditional care way, and artificial intelligence (AI) application is gradually broadening in the field of assisted reproduction. This review systematically analyzes the AI application in multiple aspects of reproductive health care. It also indicates the challenge during the process, including data privacy, technical reliability, ethics and legal provisions, and humanistic care. Both the opportunities of AI in assisted reproduction are highlighted and the ensuing problems are analyzed in depth. The purpose is to provide ideas for future studies to ensure that AI technology can be safely, efficiently and responsibly integrated with the field of reproductive health care.

Oocyte maturation disorders and fertilization failures are caused by a variety of factors, including complex factors such as chromosomal abnormalities and poor oocyte quality. With the widespread use of high-throughput sequencing technology, more and more genetic mutations have been found to be associated with oocyte maturation and fertilization process in infertile patients. This paper summarizes and discusses 11 key genes ( TRIP13, TBPL2, LHX8, PATL2, TUBB8, CDC20, WEE2, ZP, ASTL, JUNO and CD9) related to oocyte maturation and fertilization-related disorders in females, providing a basis for research on the prevention of diseases associated with oocyte maturation blockage and fertilization failure and the development of targeted therapies.

The adverse effects of fine particulate matter (PM 2.5) on human health have become a major global public health concern. Pregnant women and fetuses, as susceptible populations, are more vulnerable to the threat of PM 2.5 pollution. Increasing studies indicate that PM 2.5 exposure is an important risk factor of fetal growth restriction (FGR), and oxidative stress, inflammatory response, endocrine disorders, epigenetic modifications, autophagic abnormalities, and gut microbiota dysbiosis may be the biological mechanisms underlying PM 2.5-induced FGR. This study offers insights for the development of targeted preventive and therapeutic methods for FGR caused by PM 2.5.

Non-classical congenital adrenal hyperplasia (NCCAH), an autosomal recessive disorder, stems from genetic mutations affecting the enzymes and cofactors integral to adrenal steroidogenesis. These mutations may result in diminished activity or a complete loss of function for critical enzymes, such as 21-hydroxylase, 11β-hydroxylase, 3β-hydroxysteroid dehydrogenase, 17α-hydroxylase, and the steroidogenic acute regulatory protein (StAR). The impairment of these enzymatic processes has profound implications for reproductive health in females, mediated through both genetic and endocrine pathways. This review aims to explore the pathogenesis of various enzyme defects in different types of NCCAH, their clinical features, and their impact on female fertility. It is hoped that this will help refine the diagnostic strategies for infertility associated with NCCAH, thereby enhancing fertility of patients and providing new directions and opportunities for further research in this field.

Objective:To compare the effects of using cone beam CT (CBCT) and oral scanning registration on implant positional accuracy during robot-assisted implant surgery, and to provide a basis for selecting the appropriate registration for robot-assisted implant surgical options.Methods:One patient with dentition defect, specifically missing teeth at positions 21 and 26 and having natural teeth adjacent mesially and distally to the edentulous area, who visited the Department of Oral Implantology, School of Hospital of Stomatology Wuhan University in 2024 were selected. Based on reconstructed imaging data, 30 identical jaw models were printed. These models were divided into a CBCT registration group and an intra-oral scanning registration group (15 models per group). An associate chief physician with extensive experience in implant surgery performed preoperative registration using the implant robot and completed the implant surgeries. Postoperative CBCT scans were used to determine the three-dimensional position of the implants. The deviations between the planned implant position and the actual position were evaluated, including deviations at the implantation point, apical point, and angular deviation. The differences between the two groups were compared.Results:The implantation deviation was 0.675 (0.490) mm, apical deviation was (0.680±0.272) mm, and the angular deviation was 0.566°±0.147° in the CBCT registration group, and in the intra-oral scanning registration group, implantation deviation was 0.695 (0.313) mm, apical deviation was (0.667±0.217) mm, and the angular deviation was 0.523°±0.168°. There was no statistically significant error in implant precision between the two groups ( P>0.05). Conclusions:This in vitro experiment found that the use of intra-oral scanning registration in robot-assisted implant surgery can achieve similar implant placement accuracy as CBCT registration.

Objective:To compare minimally invasive surgery with traditional open surgery, analyze the current application status of health economic evaluations in the treatment of digestive tract cancers, such as esophageal cancer, gastric cancer, and colorectal cancer by minimally invasive surgery and provide evidence for the rational selection of clinical treatment, alleviation of disease-related economic burdens, and rational allocation of healthcare resources.Methods:By using five databases, i.e. China National Knowledge Infrastructure, Wanfang data, Chinese Biomedical Literature Database, PubMed, and Embase, a database was established to retrieve all the papers about health economic studies of minimally invasive surgery for esophageal cancer, gastric cancer, and colorectal cancer published until December 31, 2023. Literature was analyzed by using software NoteExpress 3.8, and data were processed using Excel 2021. The quality of included papers was evaluated using the CHEERS 2022 checklist, and Meta-analysis was conducted by using software Stata 17.0.Results:A total of 10 919 relevant papers were retrieved, and 59 studies were included. Only 14 studies (23.7%) used standard health economic evaluation methods. Meta-analysis results revealed no significant differences in direct medical expenditure and total expenditure between minimally invasive surgery and open surgery. However, the expenditure for minimally invasive surgery exhibited a significant increase [mean difference ( MD)=5 973.12 yuan, P<0.001], while hospital stay and indirect expenditure significantly decreased ( MD: -4.85 days and -733.79 yuan, P<0.001). In China, for gastric cancer, the direct medical expenditure of endoscopic surgery was lower than that of open surgery ( MD=-33 000.00 yuan) with no significant difference ( P<0.001). In colorectal cancer cases, the direct medical and surgical expenditures for laparoscopic surgery were higher than those for open surgery ( MD: 4 277.94 yuan and 4 267.80 yuan, P<0.001), while the indirect and total medical expenditures decreased ( MD: -768.34 yuan and -159.10 yuan). Hospital stays in patients who had minimally invasive surgery for all three types of cancer were shorter than those who had open surgery ( P<0.001). Conclusions:In the treatment of gastrointestinal cancer, compared with open surgery, minimally invasive surgery shows higher expenditure, but has advantages, such as shorter hospital stay and lower indirect expenditure, and there were no significant differences in direct medical and total expenditures between the two approaches. When conducting health economic evaluation, factors such as postoperative complications, hospital stay, and patient's economic status should be considered for their impact on total medical expenditure. It is necessary to pay attention to the application of health economic evaluations in healthcare decision-making.