Objective To summarize the current status of outcome indicators in randomized controlled trials of TCM intervention in pediatric myocarditis,to explore the existing problems,and to provide a reference for the construction of a core set of indicators for the treatment of pediatric myocarditis with TCM.Methods Randomized controlled trial literature on the treatment of pediatric myocarditis with TCM was retrieved from CNKI,Wanfang Data,VIP,SinoMed,PubMed,Embase,Cochrane Library and Web of Science from the establishment of the databases to 16th,Nov.2024.The basic characteristics,diagnostic criteria,TCM evidence,interventions and outcome indicators of the studies were extracted.The risk of bias was assessed for the selected studies using the Cochrane Collaboration's risk of bias tool(RoB 2.0),and the outcome indicators were statistically analyzed using Excel 2019.Results Finally,totally of 250 articles were included in the literature.The outcome indicators were counted to obtain 187 outcome indicators with a cumulative total of 1 540 occurrences,which were categorized into six indicator domains:symptoms and signs,physicochemical testing,TCM symptoms/signs,clinical efficacy evaluation,safety evaluation and quality of life evaluation;among them,the physicochemical testing indicators(112 types,926 times)had the highest frequency of occurrences,followed by the clinical efficacy evaluation(13 types.340 times),and safety evaluation(24 types,193 times).Conclusion The overall quality of randomized controlled trials of TCM treatment of pediatric myocarditis is low,and there are problems with primary and secondary differentiation of outcome indicators and lack of TCM characteristics.There is an urgent need to improve the core set of endpoint indicators that highlight the characteristics of TCM in order to improve the quality of clinical research.

Objective To analyze the deployment of policy instruments and the distribution of stakeholder engagement in provincial policies on nursing assistant training and management.Methods The relevant policy texts on nursing assistant training and management were systematically searched and collected from the official websites of provincial governments and their direct departments,CNKI,and the PKU Law Database.A two-dimensional framework of policy instruments-stakeholder was constructed,and the content analysis was used to classify,encode and quantify policy clauses.Results The study encompassed 20 provincial-level nursing assistant training and management policies,yielding a total of 359 codes.Within the policy instruments dimension,environmental,supply,and demand instruments constituted 66.30％,28.97％,and 4.74％,respectively.In terms of stakeholders,the management-side accounted for 56.55％,providers and trainers for 18.11％each,partners for 5.01％,and demand-side for 2.23％.Both management-side and trainers engaged with 3 policy instruments,providers with 2,and partners and demand-side with one each.Conclusion In the provincial nursing assistant training and management policies,there are differences in the deployment of policy instruments,and the distribution of stakeholders is uneven.Managers should pay attention to publicity guidance and platform construction,improve incentive mechanisms and training programs,and innovate cooperation models with stakeholders,as well as strengthen communication and exchange.

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.

Objective:To investigate the role of alkylation repair homolog 5(ALKBH5)-mediated N6-methyladenosine(m6A)modifi-cation in endometrial decidualization.Methods:The mouse models of pregnancy and pseudopregnancy were established,and quantita-tive real-time PCR and Western blot were used to measure the expression pattern of ALKBH5 in the endometrium.The mouse and cell models of artificially induced decidualization were established,and quantitative real-time PCR,Western blot,and immunohistochemis-try were used to measure the expression levels of decidualization-related markers.The EpiQuik m6A RNA methylation quantification kit was used to measure the level of m6A.The mouse and cell models of artificially induced decidualization with interference of ALKBH5 expression were established,and quantitative real-time PCR,Western blot,and immunohistochemistry were used to measure the expression levels of decidualization-related markers,cell proliferation marker molecules,and apoptosis molecules.Flow cytometry was used to measure cell apoptosis rate.Results:In the mouse model of pregnancy,the expression level of ALKBH5 at the uterine em-bryo implantation site was significantly higher than that adjacent to the implantation site,and in the mouse and cell models of artifi-cially induced decidualization,compared with the control group,the induction group had a significant increase in the expression level of ALKBH5 and a significant reduction in the level of m6A.Inhibiting the expression of ALKBH5 led to an increase in the level of m6A,which in turn inhibited the proliferation of stromal cells,induced cell apoptosis,and ultimately impaired the normal process of en-dometrial decidualization.Conclusion:ALKBH5 deficiency leads to an increase in the level of m6A and decidualization injury in the en-dometrium,which lays a foundation for the research on m6A modifi-cation in decidualization.

Objective To systematically evaluate the influencing factors for antiretroviral therapy(ART)discontinuation in Chinese human immunodeficiency virus(HIV)/acquired immuno deficiency syn-drome(AIDS)patients.Methods A computer-based search was conducted in PubMed,Web of Science,Em-base,The Cochrane Library,CNKI,Wanfang,VIP,and China Biology Medicine(CBM)databases for studies on influencing factors of ART discontinuation in Chinese HIV/AIDS patients from the establishment of the databases to August 2024.Meta-analysis was performed on the included studies by using Stata16.0.Results A total of 17 studies were included.Meta-analysis showed that the following factors were associated with ART discontinuation:male gender(OR=1.301,95%CI:1.099-1.540),age≥50 years(OR=1.212,95%CI:1.109-1.324),unmarried/divorced/widowed marital status(OR=1.198,95%CI:1.060-1.354),education level was or below senior high school(OR=1.778,95%CI:1.508-2.096),infection route was in-travenous drug use(OR=2.420,95%CI:1.989-2.945),baseline CD4 cell count>500 cells/μL(OR=1.157,95%CI:1.020-1.313),tuberculosis co-infection before ART(OR=1.559,95%CI:1.398-1.739),hepatitis B co-infection before ART(OR=1.554,95%CI:1.305-1.851),AIDS-related symptoms occur be-fore ART(OR=1.245,95%CI:1.148-1.351),time from diagnosis to treatment initiation≥365 days(OR=1.449,95%CI:1.301-1.615),initial treatment regimen containing zidovudine(OR=1.573,95%CI:1.206-2.052),treatment at county-level or lower institutions(OR=1.204,95%CI:1.153-1.257),exist drug adverse reactions(OR=7.043,95%CI:3.142-15.786),and compliance education(OR=0.182,95%CI:0.094-0.352).Conclusion There are multiple factors influencing ART discontinuation in Chinese HIV/AIDS patients.Early identification of individuals at risk of discontinuation and targeted interventions are nec-essary to promote their maintenance of ART.

BACKGROUND: Meningeal metastasis (MM) is a form of malignant metastasis where tumor cells spread from the primary site to the pia mater, dura mater, arachnoid, subarachnoid space, and other cerebrospinal fluid compartments. Lung cancer is one of the most common malignant tumor types with MM. MM not only signifies that the lung cancer has progressed to an advanced stage but also leads to a range of severe clinical symptoms due to meningeal involvement. Currently, the risk factors associated with the development of MM are not fully elucidated. The aim of this study was to investigate the risk factors for MM in patients with lung adenocarcinoma (LUAD) who underwent non-surgical interventions, in order to identify LUAD patients at high risk for MM. METHODS: This retrospective study analyzed the clinical data of patients diagnosed with LUAD at the First Affiliated Hospital of Zhengzhou University from January 2020 to July 2024. Missing data were imputed using multiple imputation methods, and risk factors were identified through LASSO, univariate, and multivariate Logistic regression analyses. RESULTS: A total of 170 patients with LUAD were included in this study and divided into two groups: 87 patients with MM and 83 patients without MM. Univariate and multivariate Logistic regression analyses revealed that younger age at diagnosis (P=0.004), presence of the epidermal growth factor receptor (EGFR) L858R gene mutation (P=0.008), and concurrent liver metastasis at baseline (P=0.004) were independent risk factors for developing MM in LUAD patients who did not undergo surgical intervention. Conversely, higher baseline globulin levels (P=0.039) and the presence of the anaplastic lymphoma kinase (ALK) gene mutation (P=0.040) were associated with a reduced risk of MM development. CONCLUSIONS Age at diagnosis, EGFR L858R mutation status, ALK gene mutation status, concurrent liver metastasis, globulin levels at baseline were significantly associated with the risk of developing MM in patients with LUAD patients who did not undergo surgical intervention. For patients diagnosed at a younger age, carrying the EGFR L858R mutation, or presenting with baseline liver metastasis, early implementation of tertiary prevention strategies for MM is crucial. Regular monitoring of MM status should be conducted in these high-risk groups.
Humans ; Male ; Adenocarcinoma of Lung/therapy* ; Female ; Middle Aged ; Risk Factors ; Lung Neoplasms/therapy* ; Retrospective Studies ; Aged ; Meningeal Neoplasms/genetics* ; Adult

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.

Objective To summarize the current status of outcome indicators in randomized controlled trials of TCM intervention in pediatric myocarditis,to explore the existing problems,and to provide a reference for the construction of a core set of indicators for the treatment of pediatric myocarditis with TCM.Methods Randomized controlled trial literature on the treatment of pediatric myocarditis with TCM was retrieved from CNKI,Wanfang Data,VIP,SinoMed,PubMed,Embase,Cochrane Library and Web of Science from the establishment of the databases to 16th,Nov.2024.The basic characteristics,diagnostic criteria,TCM evidence,interventions and outcome indicators of the studies were extracted.The risk of bias was assessed for the selected studies using the Cochrane Collaboration's risk of bias tool(RoB 2.0),and the outcome indicators were statistically analyzed using Excel 2019.Results Finally,totally of 250 articles were included in the literature.The outcome indicators were counted to obtain 187 outcome indicators with a cumulative total of 1 540 occurrences,which were categorized into six indicator domains:symptoms and signs,physicochemical testing,TCM symptoms/signs,clinical efficacy evaluation,safety evaluation and quality of life evaluation;among them,the physicochemical testing indicators(112 types,926 times)had the highest frequency of occurrences,followed by the clinical efficacy evaluation(13 types.340 times),and safety evaluation(24 types,193 times).Conclusion The overall quality of randomized controlled trials of TCM treatment of pediatric myocarditis is low,and there are problems with primary and secondary differentiation of outcome indicators and lack of TCM characteristics.There is an urgent need to improve the core set of endpoint indicators that highlight the characteristics of TCM in order to improve the quality of clinical research.

Objective To analyze the deployment of policy instruments and the distribution of stakeholder engagement in provincial policies on nursing assistant training and management.Methods The relevant policy texts on nursing assistant training and management were systematically searched and collected from the official websites of provincial governments and their direct departments,CNKI,and the PKU Law Database.A two-dimensional framework of policy instruments-stakeholder was constructed,and the content analysis was used to classify,encode and quantify policy clauses.Results The study encompassed 20 provincial-level nursing assistant training and management policies,yielding a total of 359 codes.Within the policy instruments dimension,environmental,supply,and demand instruments constituted 66.30％,28.97％,and 4.74％,respectively.In terms of stakeholders,the management-side accounted for 56.55％,providers and trainers for 18.11％each,partners for 5.01％,and demand-side for 2.23％.Both management-side and trainers engaged with 3 policy instruments,providers with 2,and partners and demand-side with one each.Conclusion In the provincial nursing assistant training and management policies,there are differences in the deployment of policy instruments,and the distribution of stakeholders is uneven.Managers should pay attention to publicity guidance and platform construction,improve incentive mechanisms and training programs,and innovate cooperation models with stakeholders,as well as strengthen communication and exchange.

Objective To observe MRI manifestations of angiocentric glioma(AG).Methods Twenty-one AG patients confirmed by pathology were retrospectively collected,and MRI manifestations were observed.Results Single AG lesion was detected in 18 cases,while multiple AG lesions were found in 3 cases(the largest lesions were selected for analysis).There were 5 cases of cortical swelling type and 16 cases of mass type(including solid component dominant type and cystic component dominant type)AG.Among 21 AG lesions,there were 20 supratentorial area lesions(20/21,95.24％),including 8 in frontal lobe,6 in temporal lobe,2 in parietal lobe,3 involved multicerebral lobes and 1 in lateral ventricle,whereas only 1 brainstem lesion was found(1/21,4.76％).On MR T1WI,all lesions showed slight hypo-intensity,and rim-like hyper-intensity was found in 10 lesions(10/21,47.62％).On T2WI,all lesions showed hyper-intensity,9 lesions(9/21,42.86％)extended to lateral ventricle("stem-like sign"),while 11 lesions(11/21,52.38％)present fissure-like hyper-intensity.Diffusion weighted imaging showed that 20 lesions(20/21,95.24％)had no obvious limited diffusion which was observed in 1 lesion(1/21,4.76％).On enhanced T1WI,14(14/21,66.67％)lesions showed no enhancement,5(5/21,23.81％)showed slightly enhancement and 2(2/21,9.52％)showed significant enhancement.Conclusion MRI manifestations of AG had certain characteristics.