BACKGROUND:The sports medicine community has widely called for the use of machine learning technology to efficiently process the huge and complicated sports data resources,and construct intelligent sports injury prediction models,enabling accurate early warning of sports injuries.It is of great significance to comprehensively summarize and review such research results so as to grasp the direction of early warning model improvement and to guide the construction of sports injury prediction models in China. OBJECTIVE:To systematically review and analyze relevant research on sports injury prediction models based on machine learning technology,thereby providing references for the development of sports injury prediction models in China. METHODS:Literature search was conducted on CNKI,Web of Science and EBSCO databases,which mainly searched for literature related to machine learning techniques and sports injuries.Finally,61 articles related to sports injury prediction models were included for analysis. RESULTS AND CONCLUSION:(1)In terms of external risk feature indicators,there is a lack of competition scenario indicators,and the inclusion of related feature indicators needs to be further improved to further enrich the dimensions of the dataset for model training.In addition,the inclusion feature weighting methods of the sports injury prediction model are mainly based on filtering methods and the use of embedding and wrapping weighting methods needs to be strengthened in order to enhance the analysis of the interaction effects of multiple risk factors.(2)In terms of model body training,supervised learning algorithms become the mainstream choice.Such algorithms have higher requirements for the completeness of sample labeling information,and the application scenarios are easily limited.Therefore,the application of unsupervised and semi-supervised algorithms can be increased in the later stage.(3)In terms of model performance evaluation and optimization,the current studies mainly adopt two verification methods:HoldOut crossover and k-crossover.The range of AUC values is(0.76±0.12),the range of sensitivity is(75.92±11.03)%,the range of specificity is(0.03±4.54)%,the range of F1 score is(80.60±10.63)%,the range of accuracy is(69.96±13.10)%,and the range of precision is(70±14.71)%.Data augmentation and feature optimization are the most common model optimization operations.The accuracy and precision of the current sports injury prediction model are about 70%,and the early warning effect is good.However,the model optimization operation is relatively single,and data augmentation methods are often used to improve model performance.Further adjustments to the model algorithm and hyperparameters are needed to further improve model performance.(4)In terms of model feature extraction,most of the internal risk profile indicators included are mainly based on anthropometrics,training load,years of training,and injury history,but there is a lack of sports recovery and physical function indicators.

ObjectiveTo compare the clinical features of patients with hepatitis B virus （HBV）-related early-onset liver cancer and those with late-onset liver cancer， to assess the severity of the disease， and to provide a theoretical basis for the early diagnosis and treatment of liver cancer. MethodsA retrospective analysis was performed for 695 patients who were diagnosed with HBV-related liver cancer for the first time in Guangzhou Eighth People’s Hospital， Guangzhou Medical University， from January 2019 to August 2023， among whom 93 had early-onset liver cancer （defined as an age of50 years for female patients and40 years for male patients） and 602 had late-onset liver cancer （defined as an age of ≥50 years for female patients and ≥40 years for male patients）. Related clinical data were collected， including demographic data， clinical symptoms at initial diagnosis， comorbidities， smoking history， drinking history， family history， routine blood test results， biochemical parameters of liver function， serum alpha-fetoprotein（AFP）， virological indicators， coagulation function， and imaging findings. The pan-inflammatory indices neutrophil-to-lymphocyte ratio （NLR）， platelet-to-lymphocyte ratio （PLR）， and lymphocyte-to-monocyte ratio （LMR） were calculated， as well as FIB-4 index， aspartate aminotransferase-to-platelet ratio index （APRI）， S index， Model for End-Stage Liver Disease （MELD） score， Child-Turcotte-Pugh （CTP） score， albumin-bilirubin （AIBL） grade， and Barcelona Clinic Liver Cancer （BCLC） stage. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test or Fisher’s exact test were used for comparison of categorical data between two groups. ResultsThere were significant differences between the two groups in the proportion of male patients and the incidence rates of diabetes， hypertension， and fatty liver disease （χ²=6.357， 15.230， 11.467， and 14.204， all P0.05）， and compared with the late-onset liver cancer group， the early-onset liver cancer group had a significantly higher proportion of patients progressing to liver cancer without underlying cirrhosis （χ²=24.657， P0.001） and a significantly higher proportion of patients with advanced BCLC stage （χ²=6.172， P=0.046）. For the overall population， the most common clinical symptoms included abdominal distension， abdominal pain， poor appetite， weakness， a reduction in body weight， edema of both lower limbs， jaundice， yellow urine， and nausea， and 55 patients （7.9%） had no obvious symptoms at the time of diagnosis and were found to have liver cancer by routine reexamination， physical examination suggesting an increase in AFP， or radiological examination indicating hepatic space-occupying lesion； compared with the late-onset liver cancer group， the patients in the early-onset liver cancer group were more likely to have the symptoms of abdominal distension， abdominal pain， and jaundice （all P0.05）. Compared with the late-onset liver cancer group， the early-onset liver cancer group had a significantly larger tumor diameter （Z=2.845， P=0.034）， with higher prevalence rates of multiple tumors and intrahepatic， perihepatic， or distant metastasis （χ²=5.889 and 4.079， both P0.05）， and there were significant differences between the two groups in tumor location and size （χ²=3.948 and 11.317， both P0.05）. Compared with the late-onset liver cancer group， the early-onset liver cancer group had significantly lower FIB-4 index， proportion of patients with HBsAg ≤1 500 IU/mL， and levels of LMR and Cr （all P0.05）， as well as significantly higher positive rate of HBeAg and levels of log₁₀ HBV DNA， AFP， WBC， Hb， PLT， NLR， PLR， TBil， ALT， Alb， and TC （all P0.05）. ConclusionCompared with late-onset liver cancer， patients with early-onset liver cancer tend to develop liver cancer without liver cirrhosis and have multiple tumors， obvious clinical symptoms， and advanced BCLC stage， which indicates a poor prognosis.

Pyoderma gangrenosum(PG)is a rare autoinflammatory disease,characterized mainly by painful and necrotic skin ulcers.The etiology of PG is unknown,and its treatment is quite challenging.This article reports a case of recurrent pyoderma gangrenosum successfully treated with adalimumab combined with tofacitinib,along with a review of relevant literature.The patient,a 54-year-old male,presented with scrotal ulcers accompanied by pain for 20 days,worsening and involving the groin area for 5 days,and fever for 1 day.Dermatological examination revealed two painful ulcers on the scrotum with raised edges,clear boundaries,and a small amount of purulent discharge on the surface;the right groin area and the medial left thigh showed irregular infiltrative erythematous plaques,with scattered clustered pustules on them,central necrosis appearing purplish-brown,surrounded by a red halo with clear boundaries.Based on the patient's past medical history,clinical manifestations,and auxiliary examinations,the diagnosis was consistent with pyoderma gangrenosum.After treatment with adalimumab combined with tofacitinib,the patient's symptoms were significantly improved,and the ulcers healed.At the 6-month follow-up,the skin lesions had not recurred.For refractory PG that is ineffective to conventional treatments,adalimumab combined with tofacitinib is an effective and safe treatment option,providing a new combination therapy regimen for PG.

The 2021 version of the Baveno Ⅶ consensus on portal hypertension and the 2023 guidelines from the European Association for the Study of the Liver define recompensated cirrhosis as the restoration and stabilization of liver function, improvement of liver fibrosis, and absence of decompensated cirrhosis for a long time following effective treatment of the underlying etiology of cirrhosis. Recompensated cirrhosis has become an important research direction in the field with the gradually increasing number of these patients. Temporary recompensation, stable recompensation, and long-term recompensation are the three stages into which patients with cirrhosis are divided, based on varying recompensation stages. Clinical characteristics and prognosis are significantly different among different stages. Patients in the temporary compensation stage have significant fluctuations in their condition and poor stability, with a high risk of recurrent complications. The prognosis of patients in the stable recompensation stage is significantly affected by the cause and the type of initial decompensation event, while the condition of patients in the long-term recompensation stage is more stable, and the long-term prognosis is close to that of compensated cirrhosis. This article aims to summarize and explore the recompensation rates at different stages of liver cirrhosis, the occurrence risk of various complications and liver cancer, and long-term management and treatment following recompensation, providing new directions for future research in this field.

Objective:To analyze the application of mobile application-based decision support tools in patient treatment decision-making both domestically and internationally, and to provide references and insights for future research in this area.Methods:A search was conducted in databases including China National Knowledge Infrastructure, VIP, Wanfang, China Biology Medicine disc, PubMed, Embase, CINAHL, and Web of Science for relevant studies on the application of mobile application-based decision support tools in patient treatment decision-making, with the search period extending from database inception to April 1, 2024. The scope review methodology by Arksey and O'Malley was used to guide the literature summary and analysis.Results:A total of 9 studies were included in the review. The main presentation forms of mobile application-based decision support tools in patient treatment decision-making were text, charts, and videos. The main contents included assessing patients' decision-making needs, providing informational support, and summarizing the decision-making process. The evaluation criteria focused on 2 areas: decision quality (preparedness for decision-making, self-efficacy, decision conflict, regret, actual participation, satisfaction, knowledge of the disease, and treatment choices) and psychological state.Conclusions:It is recommended that future researchers fully consider patients' treatment decision-making needs and preferences, provide a more diverse range of information presentation methods, and strengthen the comprehensiveness and scientific basis of the content. These improvements aim to enhance decision quality and, through multi-center, large-sample, high-quality studies, further explore the effectiveness of these tools in clinical applications, thereby providing more evidence for their widespread adoption.

Objective:To explore the facilitators and barriers to the implementation of the Radiation Protection Standards for Medical Staff Engaged in Interventional Procedures, and to provide a basis for formulating effective implementation strategies. Methods:Using purposive sampling, semi-structured interviews were conducted with 12 medical staff members engaged in interventional procedures at Guizhou Provincial People's Hospital from January to March 2024. The interview guide was developed based on the consolidated framework for implementation research (CFIR). Interview data were analyzed using Colaizzi's seven-step method.Results:A total of 12 medical staff members were interviewed. Based on the CFIR framework, 19 facilitators and barriers were identified: three under the domain of intervention characteristics, ten under individual characteristics, five under inner setting, and one under outer setting.Conclusions:Numerous determinants affect the implementation of the Radiation Protection Standards for Medical Staff Engaged in Interventional Procedures. Special attention should be given to the domain of individual characteristics. Facilitating factors should be reinforced, while barriers should be dynamically analyzed and addressed through targeted implementation strategies to promote comprehensive and efficient implementation of the Radiation Protection Standards for Medical Staff Engaged in Interventional Procedures.

Objective Explore a comprehensive and multi-level set of passive defensive medical governance strate-gies.Methods Literature related to passive defensive medical governance was retrieved,and the Ucinet social net-work analysis software was utilized to calculate indicators such as the frequency and centrality of passive defensive medical governance strategies,thereby understanding the importance of these strategies.Results The formed set of negative defensive medical governance strategies covers three levels social cogniton,institutional mechanisms and doctor-patient relationship.Among them,there are 5 governance strategies at the social cognition level,24 governance strategies at the institutional mechanism level,and 12 governance strategies at the doctor-patient rela-tionship level,totaling 41 governance strategies.Conclusion The constructed set of passive defensive medical governance strategies is scientific,practical,and comprehensive in content,providing a reference framework for medical institutions to govern passive defensive medical behaviors.

Objective Explore a comprehensive and multi-level set of passive defensive medical governance strate-gies.Methods Literature related to passive defensive medical governance was retrieved,and the Ucinet social net-work analysis software was utilized to calculate indicators such as the frequency and centrality of passive defensive medical governance strategies,thereby understanding the importance of these strategies.Results The formed set of negative defensive medical governance strategies covers three levels social cogniton,institutional mechanisms and doctor-patient relationship.Among them,there are 5 governance strategies at the social cognition level,24 governance strategies at the institutional mechanism level,and 12 governance strategies at the doctor-patient rela-tionship level,totaling 41 governance strategies.Conclusion The constructed set of passive defensive medical governance strategies is scientific,practical,and comprehensive in content,providing a reference framework for medical institutions to govern passive defensive medical behaviors.

Objective:To analyze the application of mobile application-based decision support tools in patient treatment decision-making both domestically and internationally, and to provide references and insights for future research in this area.Methods:A search was conducted in databases including China National Knowledge Infrastructure, VIP, Wanfang, China Biology Medicine disc, PubMed, Embase, CINAHL, and Web of Science for relevant studies on the application of mobile application-based decision support tools in patient treatment decision-making, with the search period extending from database inception to April 1, 2024. The scope review methodology by Arksey and O'Malley was used to guide the literature summary and analysis.Results:A total of 9 studies were included in the review. The main presentation forms of mobile application-based decision support tools in patient treatment decision-making were text, charts, and videos. The main contents included assessing patients' decision-making needs, providing informational support, and summarizing the decision-making process. The evaluation criteria focused on 2 areas: decision quality (preparedness for decision-making, self-efficacy, decision conflict, regret, actual participation, satisfaction, knowledge of the disease, and treatment choices) and psychological state.Conclusions:It is recommended that future researchers fully consider patients' treatment decision-making needs and preferences, provide a more diverse range of information presentation methods, and strengthen the comprehensiveness and scientific basis of the content. These improvements aim to enhance decision quality and, through multi-center, large-sample, high-quality studies, further explore the effectiveness of these tools in clinical applications, thereby providing more evidence for their widespread adoption.

Objective:To explore the facilitators and barriers to the implementation of the Radiation Protection Standards for Medical Staff Engaged in Interventional Procedures, and to provide a basis for formulating effective implementation strategies. Methods:Using purposive sampling, semi-structured interviews were conducted with 12 medical staff members engaged in interventional procedures at Guizhou Provincial People's Hospital from January to March 2024. The interview guide was developed based on the consolidated framework for implementation research (CFIR). Interview data were analyzed using Colaizzi's seven-step method.Results:A total of 12 medical staff members were interviewed. Based on the CFIR framework, 19 facilitators and barriers were identified: three under the domain of intervention characteristics, ten under individual characteristics, five under inner setting, and one under outer setting.Conclusions:Numerous determinants affect the implementation of the Radiation Protection Standards for Medical Staff Engaged in Interventional Procedures. Special attention should be given to the domain of individual characteristics. Facilitating factors should be reinforced, while barriers should be dynamically analyzed and addressed through targeted implementation strategies to promote comprehensive and efficient implementation of the Radiation Protection Standards for Medical Staff Engaged in Interventional Procedures.