Objective To analyze the developmental trends and research hotspots of anoikis in cancer research from 2005 to 2024.Methods Relevant literature was retrieved from the Web of Sci-ence Core Collection.Visualization tools including CiteSpace,VOSviewer and SCImago Graphica were employed to analyze publication volume,countries,institutions,authors,journals,keywords and other bibliometric indicators.Results A total of 2,252 articles were included in this study,showing an overall upward trend in publication volume,with a notable increase after 2012.China and the United States ranked highest in terms of publication volume and citation frequency.Representative institutions included Shanghai Jiao Tong University,Chulalongkorn University and MD Anderson Cancer Center,while a representative scholar was CHANVORACHOTE Pithi.The core journal was Oncogene.Keyword and co-citation analyses revealed that research focused on genetic characteristics,cancer treatment,prognostic prediction and metabolic reprogramming,with core terms including"ex-pression""metastasis"and"anoikis".Conclusion Research interest in the field of anoikis contin-ues to rise,with future directions focusing on drug resistance mechanisms,the tumor microenvironment,immunotherapy,signaling pathways and epithelial-mesenchymal transition(EMT).

Artificial intelligence(AI)is revolutionizing traditional drug discovery and development models by seamlessly integrating data,computational power,and algorithms.This synergy enhances the efficiency,accuracy,and success rates of drug research,shortens development timelines,and reduces costs.Coupled with machine learning(ML)and deep learning(DL),AI has demonstrated significant advancements across various domains,including drug characterization,target discovery and validation,small molecule drug design,and the acceleration of clinical trials.Through molecular generation techniques,AI facili-tates the creation of novel drug molecules,predicting their properties and activities,while virtual screening(VS)optimizes drug candidates.Additionally,AI enhances clinical trial efficiency by predicting outcomes,designing trials,and enabling drug repositioning.However,AI's application in drug devel-opment faces challenges,including the need for robust data-sharing mechanisms and the establishment of more comprehensive intellectual property protections for algorithms.AI-driven pharmaceutical companies must also integrate biological sciences and algorithms effectively,ensuring the successful fusion of wet and dry laboratory experiments.Despite these challenges,the potential of AI in drug development remains undeniable.As AI technology evolves and these barriers are addressed,AI-driven therapeutics are poised for a broader and more impactful future in the pharmaceutical industry.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.

ObjectiveTo analyze the data structure and standards of rehabilitation outpatient medical records, to provide data support for improving the quality of rehabilitation outpatient care and developing medical insurance payment policies. MethodsBased on the normative documents issued by the National Health Commission, Basic Standards for Medical Record Writing and Standards for Electronic Medical Record Sharing Documents, in accordance with the Quality Management Regulations for Outpatient (Emergency) Diagnosis and Treatment Information Pages (Trial), reference to the framework of the World Health Organization Family of International Classifications (WHO-FICs), the data framework and content of rehabilitation outpatient medical records were determined, and the data standards were discussed. ResultsThis study constructed a data framework for rehabilitation outpatient medical records, including four main components: patient basic information, visit process information, diagnosis and treatment information, and cost information. Three major reference classifications of WHO-FICs, International Classification of Diseases, International Classification of Functioning, Disability and Health, and International Classification of Health Interventions,were used to establish diagnostic standards and standardized terminology, as well as coding disease diagnosis, functional description, functional assessment, and rehabilitation interventions, to improve the quality of data reporting, and level of quality control in rehabilitation. ConclusionThe structuring and standardization of rehabilitation outpatient medical records are the foundation for sharing of rehabilitation data. The using of the three major classifications of WHO-FICs is valuable for the terminology and coding of disease diagnosis, functional description and assessment, and intervention in rehabilitation outpatient medical records, which is significant for sharing and interconnectivity of rehabilitation outpatient data, as well as for optimizing the quality and safety of rehabilitation medical services.

ObjectiveTo explore the standardization of inpatient rehabilitation medical record summary sheet, encompassing its structure, content and data standards, to enhance the standardization level of inpatient rehabilitation medical record summary sheet, improve data reporting quality, and provide accurate data support for medical insurance payment, hospital performance evaluation, and rehabilitation discipline evaluation. MethodsBased on the relevant specifications of the National Health Commission's Basic Norms for Medical Record Writing, Specifications for Sharing Documents of Electronic Medical Records, and Quality Management and Control Indicators for Inpatient Medical Record Summary Sheet (2016 Edition), this study analyzed the structure and content of the inpatient rehabilitation medical record summary sheet. The study systematically applied the three major reference classifications of the World Health Organization Family of International Classifications, International Classification of Diseases (ICD-10/ICD-11, ICD-9-CM-3), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), for disease diagnosis, functional description and assessment, and rehabilitation intervention, forming a standardized terminology system and coding methods. ResultsThe inpatient rehabilitation medical record summary sheet covered four major sections: inpatient information, hospitalization information, diagnosis and treatment information, and cost information. ICD-10/ICD-11 were the standards and coding tools for admission and discharge diagnoses in the inpatient rehabilitation medical record summary sheet. The three functional assessment tools recommended by ICD-11, the 36-item version of World Health Organization Disability Assessment Schedule 2.0, Brief Model Disability Survey and Generic Functioning domains, as well as ICF, were used for rehabilitation functioning assessment and the coding of outcomes. ICHI Beta-3 and ICD-9-CM-3 were used for coding surgical procedures and operations in the medical record summary sheet, and also for coding rehabilitation intervention items. ConclusionThe inpatient rehabilitation medical record summary sheet is a summary of the relevant content of the rehabilitation medical record and a tool for reporting inpatient rehabilitation data. It needs to be refined and optimized according to the characteristics of rehabilitation, with necessary data supplemented. The application of ICD-11/ICD-10, ICF and ICHI Beta-3/ICD-9-CM-3 classification standards would comprehensively promote the accuracy of inpatient diagnosis of diseases and functions. Based on ICD-11 and ICF, relevant functional assessment result data would be added, and ICHI Beta-3/ICD-9-CM-3 should be used to code rehabilitation interventions. Improving the quality of rehabilitation medical records and inpatient rehabilitation medical record summary sheet is an important part of rehabilitation quality control, and also lays an evidence-based data foundation for the analysis and application of inpatient rehabilitation medical record summary sheet.

Artificial Intelligence (AI) is revolutionizing traditional drug discovery and development models by seamlessly integrating data, computational power, and algorithms. This synergy enhances the efficiency, accuracy, and success rates of drug research, shortens development timelines, and reduces costs. Coupled with machine learning (ML) and deep learning (DL), AI has demonstrated significant advancements across various domains, including drug characterization, target discovery and validation, small molecule drug design, and the acceleration of clinical trials. Through molecular generation techniques, AI facilitates the creation of novel drug molecules, predicting their properties and activities, while virtual screening (VS) optimizes drug candidates. Additionally, AI enhances clinical trial efficiency by predicting outcomes, designing trials, and enabling drug repositioning. However, AI's application in drug development faces challenges, including the need for robust data-sharing mechanisms and the establishment of more comprehensive intellectual property protections for algorithms. AI-driven pharmaceutical companies must also integrate biological sciences and algorithms effectively, ensuring the successful fusion of wet and dry laboratory experiments. Despite these challenges, the potential of AI in drug development remains undeniable. As AI technology evolves and these barriers are addressed, AI-driven therapeutics are poised for a broader and more impactful future in the pharmaceutical industry.

AIM:To establish a model of meibomian gland dysfunction in rats induced by eyeliner tattoo and investigate its potential mechanisms.METHODS:A total of 40 SD rats were selected, with 30 randomly chosen to have eyeliner tattoo applied their right eyes and designated as the eyeliner group. The remaining 10 rats were not given any treatment and served as the normal group. The corneal morphology of both groups was observed using a slit lamp at 1, 2, and 4 wk after establishment, and the tear film break-up time(BUT), Schirmer I test(SIt), corneal fluorescein staining score, and corneal irregularity score were calculated. The corneal Placido rings were examined using an ocular surface analyzer, and the corneal tissue structures of both groups were observed under a confocal microscope. After 4 wk and completion of clinical indicator recording, the eyeballs and upper and lower eyelid tissues were taken for pathological examination. The meibomian gland structures were observed through HE staining, the conjunctival goblet cells were observed using PAS staining, and the lipid droplets were observed with ORO staining.RESULTS:The slit lamp examination results showed that the eyeliner group rats exhibited in situ black pigmentation in the eyelids, with no eyelid deformation or scarring. The corneal epithelium was rough, with positive fluorescein staining, presenting as spotty staining that worsened over time. Compared with the normal group, the BUT was significantly shortened, tear secretion volume was significantly decreased, and the corneal fluorescein staining score and corneal irregularity score were significantly increased at 1, 2, and 4 wk after modeling in the eyeliner group(all P<0.01). The corneal confocal microscopy results showed a decrease in corneal epithelial cells in the eyeliner group, with the appearance of abnormally bright cells, and inflammatory cell infiltration visible in the stromal layer. The ORO staining results revealed a decrease in lipid droplets in the eyeliner group, showing a downward trend with increasing observation time. The HE staining results showed that pigment blocked the meibomian gland openings in the eyeliner group, and the density of meibomian gland acini showed a downward trend over time. The PAS staining results showed a decreasing trend in the number of PAS-positive cells in the eyeliner group.CONCLUSION:Eyeliner tattoo can induce meibomian gland dysfunction, and the blockage of meibomian gland openings caused by the pigment particles used may be an important cause of meibomian gland dysfunction.

Objective:To gain a deeper understanding of the comorbidity status of elderly patients with coronary heart disease and the effect of comorbidity on their hospitalization costs.Methods:Using the convenient sampling method, a total of 8 334 elderly hospitalized patients diagnosed with coronary heart disease in Beijing Hospital from January 2018 to December 2021 were selected as the research objects. General Inforamtion Questionnaire and Charson comorbidity index (CCI) were used to investigate the comorbidity of patients.Results:Among the 8 334 elderly patients with coronary heart disease included, 88.18% (7 349/8 334) had comorbidity, and there was a statistically significant difference in hospital costs among patients with different CCI scores ( P<0.01). Elderly patients with coronary heart disease with comorbidity had higher hospital costs. The results of the binomial logistic regression analysis showed that comorbidities increased the hospitalization costs of elderly coronary heart disease patients in both the unadjusted model and the gradually adjusted model for age, gender, occupation, education level, admission department, admission status, admission year, admission mode length of stay and disease classification ( P<0.05) . Conclusions:The comorbidity in elderly patients with coronary heart disease is serious, which is an important factor affecting hospitalization costs. In medical practice, it is necessary to strengthen the comprehensive management of elderly patients with coronary heart disease, pay attention to the influencing factors of hospitalization costs, optimize prevention and treatment strategies, control the occurrence and progression of comorbidities among patients, deepen the reform of medical insurance payment methods such as grouping payments based on disease diagnosis, so as to accurately reduce hospitalization costs and promote the sustainable and healthy development of the medical and health system.

OBJECTIVE To analyze the public participation mechanism of National Institute for Health and Care Excellence （NICE） health technology assessment in England and to provide experience for the dynamic adjustment of Chinese medical insurance catalog. METHODS By retrieving related literature and official websites， types and mechanisms of public participation （management organization， selection method， participation mode， evaluation feedback） in NICE health technology assessment were analyzed comprehensively； and based on this， suggestions were put forward to adjust the public participation in Chinese medical insurance catalog. RESULTS & CONCLUSIONS The current public participation types of NICE health technology assessment were patient and carer organizations， HTA committee lay members， patient expert and public observers. At the management level， NICE has set up a public participation team and made guidelines on public participation matters. For different public participation types， NICE has established different selection procedures， such as expression of interest， NICE invitation， open recruitment， nomination， NICE decision， etc. The public participation types are various and in the whole assessing process from the initial determination of the scope of the health technology assessment to the final appeal. Also， NICE has established a flexible and dynamic evaluation feedback system to optimize the way of public participation and the health technology assessment process； NICE has undertaken extensive international cooperation and exchanges to promote public participation at the national and international levels. It is suggested that our country should combine the national conditions， clarify the channel of public participation in health technology evaluation， set up a working group of public participation affairs， strengthen patients’ participation in evaluation and feedback， improve decision-making transparency， and improve the public participation mechanism of health technology evaluation from the aspects of channel opening， management mechanism， evaluation feedback， information disclosure and so on.

ObjectiveTo observe the effects of inspiration, expiration, and the contraction of muscle groups outside the pelvis combined on Kegel exercise for contraction of pelvic floor muscles. MethodsFrom October, 2021 to February, 2022, 20 healthy female were invited to perform simple Kegel exercise, and Kegel exercise as inspiration or expiration, and/or with contraction of muscle group outside the pelvis (transverse abdominal muscle, hip adductors and hip extortors), while the maximum distance of bladder bottom up was measured with ultrasonography. ResultsCompared with traditional Kegel exercise, the maximum distance of bladder bottom up was more as expiration, as well as with contraction of transverse abdominal muscle (P < 0.05). ConclusionKegel exercise as expiration or with transverse abdominal muscle contraction is more effective on pelvic floor muscle training.