Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.

Objective:To retrospectively analyze a pediatric case of X-linked hypophosphatemic rickets treated with Burosumab and improve clinicians′ awareness of the safety and effectiveness of the drug.Methods:Clinical data of the child were collected. Whole-exon genetic testing after parental consent confirmed X-linked hypophosphatemic rickets. During 18 months of Burosumab treatment, fasting blood phosphorus, alkaline phosphate, calcium, and calcium phosphate product were monitored every 11-14 days. Parathyroid hormone and 25 hydroxyvitamin D were checked every 2-6 weeks, while knee spacing, liver and kidney function, urinary calcium creatinine ratio, electrocardiogram were assessed every 3 months. Radiological imaging was performed every 6 months, with continuous follow-up of the child.Results:Whole-exon sequencing results showed a c. 1080_1081insCAATGTTA(p.T361Qfs*3) spontaneous heterozygous frameshift mutation in the PHEX gene in the child, which has not been reported previously. After the patient was treated with Burosumab for 18 months, the biochemical indexes were significantly improved, and the rickets score was reduced, without gingival abscess or other adverse events.Conclusion:The variant c. 1080_1081insCAATGTTA(p.T361Qfs*3) in the PHEX gene was identified as the cause of the patient′s condition. Burosumab, as a targeted therapeutic agent for X-linked hypophosphatemic rickets, showed significant treatment efficacy.

To reduce the subjectivity and uncertainty present in the current international methods of drug value pricing when converting value into monetary prices,based on the hedonic pricing theory,it considers the post-negotiation price between manufacturers and payers as a reasonable price reference in the value pricing of Chinese patent medicine.By constructing an indicator system for the characteristics of Chinese patent medicine,it selects and measures the value characteristic variables that affect the price of Chinese patent medicine.It serves as the theoretical foundation and research basis for establishing a Hedonic price model between characteristic price variables and negotiation prices,thereby promoting the enhancement of rationality and objectivity in value-guided pricing of Chinese patent medicine.

To reduce the subjectivity and uncertainty present in the current international methods of drug value pricing when converting value into monetary prices,based on the hedonic pricing theory,it considers the post-negotiation price between manufacturers and payers as a reasonable price reference in the value pricing of Chinese patent medicine.By constructing an indicator system for the characteristics of Chinese patent medicine,it selects and measures the value characteristic variables that affect the price of Chinese patent medicine.It serves as the theoretical foundation and research basis for establishing a Hedonic price model between characteristic price variables and negotiation prices,thereby promoting the enhancement of rationality and objectivity in value-guided pricing of Chinese patent medicine.

This paper summarized the key points and methods in terms of the establishment of the guideline working group and the management of conflict of interests， trying to provide reference for the development of clinical practice guidelines for Chinese patent medicine （CPM）. The establishment of the working group is the first important step for developing CPM guidelines. Considering the characteristics of the clinical practice guidelines for CPM， this study suggests that the three key elements of ‘multidisciplinarity’， ‘clinical relevance’ and ‘geographical representativeness’ should be put focus on when forming the working group. The guideline advisory committee， clinical expert group， evidence systematic evaluation group， secretary group and the external review group should be established. All group members should clarify the conflict of interest， and the process and management method of the conflict of interest should be clearly reported.

OBJECTIVE To provide a detailed report and interpretation of the method and results for determining the weights of the technical indicators from the “multi-dimensional and multi-criteria comprehensive evaluation index system （first edition）” stated in Guideline for Multi-dimensional and Multi-criteria Comprehensive Evaluation of Chinese Patent Medicine. METHODS Normalization calculations were performed on the comprehensive weight values calculated by the analytic hierarchy process and expert weighting method to obtain the objective weights of the indicators. RESULTS The weight results of the six primary dimensions in the current comprehensive evaluation indicator system of Chinese patent medicine showed effectiveness dimension＞ safety dimension＞standard dimension＞application dimension＞scientific dimension＞economic dimension， with weight values of 0.281 0， 0.268 5， 0.195 8， 0.107 3， 0.096 1 and 0.051 3 respectively， consistent with the results of most researches currently. CONCLUSIONS The process of weight determination in this indicator system is scientifically reasonable， with clear methods and clear interpretations， and is worthy of further optimization and widespread application.

Lecanemab is a new drug used to treat early Alzheimer's disease (AD) with mild cognitive impairment or mild dementia. It is a human anti-Aβ fibril monoclonal IgG1 antibody, which is injected intravenously into the patient, through the blood-brain barrier into the brain, clearing amyloid plaque, thereby slowing the rate of cognitive decline in patients and delaying disease progression. This article reviews the pharmacological studies, clinical studies, safety and limitations of lecanemab, in order to help clinical understand the current research status and existing achievements of this drug.

Tafamidis is a selective stabilizer for transthyretin （TTR）， used for the treatment of transthyretin amyloidosis with cardiomyopathy （ATTR-CM） and transthyretin amyloidosis with polyneuropathy （ATTR-PN）. This article provides a review of the basic information and clinical studies on the efficacy and safety of tafamidis. It is found that tafamidis slows down or prevents the progression of TTR amyloidosis by inhibiting the dissociation of TTR tetramers. Multiple clinical studies have shown that tafamidis has good efficacy and safety， significantly reducing all-cause mortality and cardiovascular-related hospitalization rates in patients with amyloidosis， and delaying disease progression. Although tafamidis treatment may have certain limitations， it is still a key drug for the treatment of TTR amyloidosis， and the first drug approved for the treatment of ATTR-CM.

Objective To understand the epidemiological characteristics of Chlamydia trachomatis infection in Hubei province, and to provide scientific basis for prevention and control. Methods The data of Chlamydia trachomatis infection cases reported through the China Information System for Disease Control and Prevention from 2008 to 2022 were collected for epidemiological statistical analysis. Results The incidence of Chlamydia trachomatis infection in Hubei Province showed an increasing trend from 2008 to 2022, with an average annual reported incidence of 2.26/100 000. The top three reported incidence areas were Shiyan (6.04/100 000), Yichang (5.62/100 000) and Shennongjia (3.47/ 100 000). The reported incidence in southeast area was significantly higher than that in other areas (χ²=2869.603 , P < 0.001). The high incidence age group was 20-39 years old, accounting for more than 70%. The reported incidence in females was higher than that in males (χ²=1429.27 , P < 0.001). Housework and unemployment were the most common professions (43.54%). The case reporting institutions were mainly comprehensive hospitals (87.29%). Conclusion To effectively control the infection and transmission of Chlamydia trachomatis, it is necessary to strengthen the health popularization of STD knowledge, intervention and early active screening of high-risk groups.

To reduce the subjectivity and uncertainty present in the current international methods of drug value pricing when converting value into monetary prices,based on the hedonic pricing theory,it considers the post-negotiation price between manufacturers and payers as a reasonable price reference in the value pricing of Chinese patent medicine.By constructing an indicator system for the characteristics of Chinese patent medicine,it selects and measures the value characteristic variables that affect the price of Chinese patent medicine.It serves as the theoretical foundation and research basis for establishing a Hedonic price model between characteristic price variables and negotiation prices,thereby promoting the enhancement of rationality and objectivity in value-guided pricing of Chinese patent medicine.