OBJECTIVE:Postoperative recurrence is a common complication of percutaneous endoscopic lumbar discectomy for lumbar disc herniation,which can significantly increase the risk of reoperation.A well-performing risk prediction model can help identify high-risk groups early and prevent postoperative recurrence.This study systematically evaluated the risk prediction model for postoperative recurrence after percutaneous endoscopic lumbar discectomy to provide a reference for surgical decision-making.METHODS:The PubMed,Embase,Web of Science,CNKI,WanFang Data,VIP,and CBM were electronically searched to collect studies on the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy from inception to July 1,2024.Two reviewers independently screened the literature and extracted data.The models' risk of bias,applicability,and report quality were assessed using prediction model risk of bias assessment tool(PROBAST)and Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis(TRIPOD)tools,respectively.Meta-analysis of postoperative recurrence rate of percutaneous endoscopic lumbar discectomy and related predictors was performed using Revman 5.4 software.RESULTS:(1)A total of 15 studies were included,all of which were retrospective studies,including 24 models for predicting the risk of recurrence after percutaneous endoscopic lumbar discectomy.(2)The PROBAST evaluation results indicated that all 15 studies exhibited a high risk of bias.Regarding applicability,two studies demonstrated a low risk,while 13 presented a high risk.(3)Regarding the TRIPOD reporting quality,the overall quality across the 15 studies was low.The primary reasons for this low compliance included the failure to report blinding,a lack of explanation for the sample size calculation method,lack of detailed description of missing data processing methods,and lack of information such as introduction to the model used.(4)Furthermore,the area under the receiver operating characteristic curve for the model ranged from 0.684 to 0.972,with the number of potential predictor variables varying from 15 to 28.(5)The results of meta-analysis showed that the postoperative recurrence rate of lumbar disc herniation patients treated with percutaneous endoscopic lumbar discectomy was 12％(95％CI=9.0％-15.0％),Modic changes(OR=6.72,95％CI=3.90-11.59),body mass index(OR=1.28,95％CI=1.10-1.49),work intensity(OR=3.22,95％CI=1.85-5.59),age(OR=2.28,95％CI=1.50-3.48),and smoking history(OR=2.65,95％CI=1.75-4.00)were independent influencing factors for postoperative recurrence of percutaneous endoscopic lumbar discectomy(all P＜0.05).CONCLUSION:The overall predictive performance of the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy is satisfactory;however,the model exhibits a high overall risk of bias and applicability,coupled with low reporting quality.Additionally,there is a lack of prospective research and external validation.Future,risk prediction models should consider factors such as Modic changes,body mass index,work intensity,age,and smoking history as potential predictors.

OBJECTIVE:Postoperative recurrence is a common complication of percutaneous endoscopic lumbar discectomy for lumbar disc herniation,which can significantly increase the risk of reoperation.A well-performing risk prediction model can help identify high-risk groups early and prevent postoperative recurrence.This study systematically evaluated the risk prediction model for postoperative recurrence after percutaneous endoscopic lumbar discectomy to provide a reference for surgical decision-making.METHODS:The PubMed,Embase,Web of Science,CNKI,WanFang Data,VIP,and CBM were electronically searched to collect studies on the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy from inception to July 1,2024.Two reviewers independently screened the literature and extracted data.The models' risk of bias,applicability,and report quality were assessed using prediction model risk of bias assessment tool(PROBAST)and Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis(TRIPOD)tools,respectively.Meta-analysis of postoperative recurrence rate of percutaneous endoscopic lumbar discectomy and related predictors was performed using Revman 5.4 software.RESULTS:(1)A total of 15 studies were included,all of which were retrospective studies,including 24 models for predicting the risk of recurrence after percutaneous endoscopic lumbar discectomy.(2)The PROBAST evaluation results indicated that all 15 studies exhibited a high risk of bias.Regarding applicability,two studies demonstrated a low risk,while 13 presented a high risk.(3)Regarding the TRIPOD reporting quality,the overall quality across the 15 studies was low.The primary reasons for this low compliance included the failure to report blinding,a lack of explanation for the sample size calculation method,lack of detailed description of missing data processing methods,and lack of information such as introduction to the model used.(4)Furthermore,the area under the receiver operating characteristic curve for the model ranged from 0.684 to 0.972,with the number of potential predictor variables varying from 15 to 28.(5)The results of meta-analysis showed that the postoperative recurrence rate of lumbar disc herniation patients treated with percutaneous endoscopic lumbar discectomy was 12％(95％CI=9.0％-15.0％),Modic changes(OR=6.72,95％CI=3.90-11.59),body mass index(OR=1.28,95％CI=1.10-1.49),work intensity(OR=3.22,95％CI=1.85-5.59),age(OR=2.28,95％CI=1.50-3.48),and smoking history(OR=2.65,95％CI=1.75-4.00)were independent influencing factors for postoperative recurrence of percutaneous endoscopic lumbar discectomy(all P＜0.05).CONCLUSION:The overall predictive performance of the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy is satisfactory;however,the model exhibits a high overall risk of bias and applicability,coupled with low reporting quality.Additionally,there is a lack of prospective research and external validation.Future,risk prediction models should consider factors such as Modic changes,body mass index,work intensity,age,and smoking history as potential predictors.

The incidence and mortality rates of lung cancer remain high, making it the leading cause of cancer-related deaths. In women, the predominant histological subtype is lung adenocarcinoma, commonly associated with epidermal growth factor receptor (EGFR) mutations, and EGFR-tyrosine kinase inhibitors (EGFR-TKIs) can significantly improve patient prognosis. Metastasis of primary lung cancer to the endometrium is extremely rare and is often misdiagnosed as a primary reproductive system tumor, and its occurrence indicates poor prognosis. This article reports a case of an advanced lung adenocarcinoma patient with EGFR mutation, who developed abnormal vaginal bleeding after EGFR-TKIs treatment failure, and biopsy confirmed endometrial metastasis. A review of similar cases is also presented.
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Humans ; Female ; ErbB Receptors/metabolism* ; Endometrial Neoplasms/genetics* ; Lung Neoplasms/genetics* ; Protein Kinase Inhibitors/therapeutic use* ; Adenocarcinoma of Lung/drug therapy* ; Treatment Failure ; Middle Aged ; Adenocarcinoma/genetics*

Objective: To develop the Adolescent Peer Bullying Knowledge-Attitude-Practice (KAP) Questionnaire and to evaluate its reliability and validity, so as to provide an effective tool for evaluating the KAP level regarding peer bullying among adolescents. Methods: A preliminary framework was developed through literature review, expert consultation, and group discussions. In September 2024, 2 203 students in grades 7 to 9 from two regular junior high schools in Anhui Province were selected using cluster sampling for a preliminary survey aimed at questionnaire development, including item screening and reliability and validity testing. Results: The initial KAP questionnaire on adolescent peer bullying consisted of 25 items: two items, "Behavior 6" and "Behavior 7", were excluded as their correlation coefficients with the total KAP score being only 0.08 and 0.05, respectively, falling below the preset criteria(0.4). The final questionnaire comprised 23 items, divided into three dimensions: knowledge, attitude, and behavior. Reliability testing showed that the overall Cronbach α coefficient of the questionnaire was 0.89, with Cronbach α coefficients for the knowledge, attitude, and behavior dimensions being 0.91, 0.67 and 0.79, respectively. The overall splithalf reliability of the questionnaire was 0.87, with split half reliabilities for the knowledge, attitude, and behavior dimensions being 0.82, 0.64 , and 0.66, respectively. Testretest reliability ranged from 0.82 to 0.97. Confirmatory factor analysis results indicated that the questionnaire had RMSEA=0.062, NFI=0.924, CFI =0.931, with good discriminant validity. Conclusion The developed KAP questionnaire on adolescent peer bullying demonstrates good reliability and validity and can be used as an assessment tool for evaluating the KAP level regarding peer bullying among adolescents.

Objective: To evaluate the effectiveness of a family-school-community integrated intervention based on the microsystem theory in reducing peer bullying among junior high school students, so as to provide empirical evidence and feasible pathways for junior high school students bullying prevention and control in China. Methods: A combining convenience with clustering method was employed to select 6 268 students from three regular junior high schools in Fuyang and Anqing cities, Anhui Province, as the study subjects in October 2024, and randomly assigned by drawing lots to three groups: family-school-community integrated intervention ( n =2 063), school only intervention ( n =1 864), and control group ( n =2 341). From October 10, 2024, to January 10, 2025, the intervention was implemented for three months using posters, brochures, and videos, with one session every half month, each lasting 40 minutes. The family-school-community integrated intervention group received multi level interventions involving families, schools, and communities, while the school only intervention group received only school based interventions. The control group received routine school health education but no other interventions. Before and after the intervention, data on peer bullying among junior high school students were collected using the Peer Bullying Scale, and comparison of detection rate of peer bullying by Chi square test. Results: After the intervention,group comparison results showed that the incidence rates of various types of peer bullying in the family-school-community integrated intervention group, the school only intervention group, and the control group all showed statistically significant differences ( χ 2=28.61-66.85, all P <0.05). The detection rates of verbal bullying ( 7.51 %), relational bullying (5.62%), physical bullying (3.34%), cyberbullying (1.75%), being bullied (10.81%), verbal bullying others (2.67%), relational bullying others (1.55%), physical bullying others (1.36%), cyberbullying others (1.41%), and overall peer bullying (3.64%) in the family-school-community integrated intervention group were all lower than those in the control group (12.52%, 11.58%, 6.24%, 5.00%, 19.14%, 7.56%, 4.49%, 4.53%, 3.80%, 9.40%); additionally, the detection rates of verbal bullying others, overall peer bullying , verbal bullying, and being bullied , in the family-school-community integrated intervention group were all lower than those in the school only intervention group (4.67%, 6.65%, 13.14%, 16.42%), with statistically significant differences ( χ 2=30.04, 48.49, 19.75, 34.60, 58.89, 52.65, 31.32, 37.37, 24.14, 58.26; 11.25, 18.53, 33.93, 26.41, all P <0.016 7). Group comparison showed that in both intervention groups, the majority of peer bullying behaviors decreased after the intervention ( χ 2=4.86-171.01, all P <0.05). Conclusions The family-school-community integrated intervention based on the microsystem can effectively reduce peer bullying among junior high school students, with better efficacy than the single school intervention. The model can serve as a practical reference for establishing a multi level prevention and intervention system for junior high school students bullying in China.

OBJECTIVE To conduct a reevaluation of the systematic review(SR)/meta-analysis on the use of Xianling gubao capsules(XLGBC)for knee osteoarthritis(KOA),and provide evidence-based support for the clinical use of the drugs.METHODS Computerized searches including CNKI,Wanfang Data,VIP,China Biomedical Literature Database,the Cochrane Library,PubMed,Embase and Web of Science were conducted to collect systematic reviews(SR)or meta-analyses of XLGBC for the treatment of KOA from the inception to May 31st,2024.The report quality,methodological quality,risk of bias and evidence quality were assessed using the PRISMA 2020 statement,AMSTAR 2 scale,ROBIS tool and GRADE tool,respectively.A comprehensive quality analysis of the quantitative results from the SR/meta-analysis was also performed.RESULTS A total of five SR/meta-analyses were included.The evaluation results based on the PRISMA 2020 statement showed that one study report was relatively complete(21 points),while four studies had deficiencies(18-20 points).The assessment using the AMSTAR 2 scale indicated that the methodological quality of all five studies was rated as very low.According to the ROBIS tool evaluation,the risk of comprehensive bias in all five studies was classified as high.GRADE tool evaluation revealed that among 49 outcome indicators,5(10.2％)were rated as moderate-quality evidence(10.2％),12 as low-quality evidence(24.5％),and 32 as very low-qualitv evidence(65.3％).The results of comprehensive quality analysis showed that the clinical efficacy,visual analogue scale score,pain relief time,comprehensive indexes of knee joint function,the levels of inflammatory factors and the incidence of adverse events in patients with XLGBC combined with conventional treatment were significantly better than conventional treatment alone(P＜0.05).CONCLUSIONS Compared with conventional treatment,XLGBC in combination with conventional treatment for KOA may have some efficacy and safety advantages.However,due to the low quality of evidence for the outcome indicators included in the studies,the conclusions should be interpreted with caution.

Knee osteoarthritis （KOA） is a common degenerative joint disease characterized primarily by the degeneration and damage of knee joint cartilage， accompanied by osteophyte formation and inflammation. In recent years， the prevalence of KOA has been increasing globally， significantly impacting the quality of life patients. However， the pathogenesis of KOA remains not fully understood， and current treatment methods are limited. Therefore， finding new therapeutic strategies is a research hotspot. Previous studies have found that the onset of KOA is related to abnormal mitochondrial regulation. Mitochondria， functioning as secondary messengers， play crucial roles in cellular respiration， reactive oxygen species （ROS） generation， and adenosine triphosphate （ATP） production through oxidative phosphorylation. Mitochondrial quality control is a pivotal mechanism for maintaining the morphology， quantity， and quality of mitochondria. The connection between mitochondrial quality control and the pathogenesis of KOA involves several factors， such as mitochondrial oxidative stress， mitophagy， imbalances in mitochondrial biogenesis， abnormal mitochondrial dynamics （fission and fusion）， and dysregulation of calcium ions. Metabolic abnormalities in the body lead to mitochondrial structural damage， which in turn contributes to the onset and progression of KOA. Traditional Chinese medicine （TCM） has made some progress in intervening in mitochondrial quality control， employing multi-faceted， multi-pathway， and multi-target strategies to treat KOA. Several studies have shown that mitochondrial quality control may be one of the therapeutic targets of TCM in treating KOA. However， there is currently a lack of comprehensive reviews summarizing the TCM interventions in mitochondrial quality control for treating KOA. This paper systematically reviewed the research progress in TCM treatment of KOA based on five aspects of mitochondrial quality control， aiming to provide a theoretical basis for the clinical prevention and treatment of KOA.

BACKGROUND:In recent years,epidemiological studies have shown that sleep patterns are risk factors for osteoarthritis,but the causal relationship between sleep characteristics and osteoarthritis remains unknown. OBJECTIVE:To investigate the causal relationship between seven sleep phenotypes and osteoarthritis,thereby providing a theoretical foundation for clinical prevention and intervention of osteoarthritis. METHODS:Seven sleep-related features,namely sleep duration,wake-up time,daytime napping,morning/evening preference,snoring,insomnia,and hypersomnia,were selected from published genome-wide association studies.Instrumental variables for these sleep-related features were extracted.Instrumental variables for knee osteoarthritis and hip osteoarthritis were obtained from publicly available genome-wide association studies.Causal relationships between sleep characteristics and outcome risks were evaluated using two-sample and multivariable Mendelian randomization analyses.The inverse variance weighted method was employed as the primary Mendelian randomization approach.Various methods,including weighted median,weighted mode,Mendelian randomization-Egger regression,Mendelian randomization pleiotropy-residual sum and outlier,were utilized to detect and correct for the presence of pleiotropy. RESULTS AND CONCLUSION:The results of the inverse variance-weighted method in the two-sample Mendelian randomization study revealed a detrimental causal association between the duration of sleep and the incidence risk of knee osteoarthritis[odds ratio(OR)=0.621,95%confidence interval(CI):0.470-0.822,P=0.001].Concurrently,insomnia displayed a positive causal connection with hip osteoarthritis risk(OR=2.016,95%CI:1.249-3.254,P=0.005).Sensitivity analysis affirmed the robustness of these causal relationships,and Mendelian randomization-Egger intercept analysis found no evidence of potential horizontal pleiotropy(knee osteoarthritis:P=0.468,hip osteoarthritis:P=0.551).Moreover,the results from the multivariable Mendelian randomization analysis showed that the causal association between insomnia and hip osteoarthritis lacked statistical significance(P=0.715).In contrast,sleep duration exhibited a direct negative causal relationship with the incidence risk of knee osteoarthritis(OR=0.526,95%CI:0.336-0.824,P=0.005).Reverse Mendelian randomization analysis indicated that knee osteoarthritis did not influence sleep duration(P=0.757).These findings indicate a negative correlation between sleep duration and incidence risk of knee osteoarthritis,suggesting that correcting insufficient sleep might mitigate the incidence risk of knee osteoarthritis.

Objective　To explore the application of time series models based on meteorological factors in the population density of Aedes albopictus in Hainan Province, and to provide a scientific basis for the prevention and control of dengue fever in Hainan Province. Methods　The density of Aedes albopictus in different habitats in 18 cities and counties of Hainan Province from 2017 to 2022 was monitored monthly using the double-mosquito net trapping index and the Breteau index. Mann-Kendall trend test was used to analyze the temporal trends of the two density indices; Spearman's correlation analysis was employed to assess the correlation strength between each meteorological factor and the two indexes, eliminating unrelated variables, and further selecting the final variables through the full-subset regression method. Three time-series models were constructed for the two density indices, with root mean square error (RMSE), mean absolute error (MAE), and other accuracy metrics used to determine the optimal model; predictions for the density indices for 2023-2024 were made. All statistical analyses were performed in R (4.3.1). Results　The net trapping and Breteau indices showed an overall decrease over the years (Z-values of Mann-Kendall trend test were -6.15 and -4.03, respectively, and P<0.05). The meteorological factor most strongly associated with the trap index was the monthly average minimum temperature; monthly mean minimum temperature and monthly mean relative humidity were strongly correlated with the Breteau index. Based on various evaluation indicators, the multivariate time series model demonstrated the highest accuracy. The study predicts one to two peaks in both the trap index and Breteau Index for the years 2023 and 2024, with peak periods occurring between June to September and May to September, respectively. The predicted value for 2023 aligns with the measured value, demonstrating outstanding predictive accuracy. Conclusions　This study has introduced meteorological factors into the seasonal time series model, allowing for more accurate predictions of the density of Aedes albopictus in Hainan Province from 2023 to 2024, providing a model framework for the prevention and control of dengue fever in Hainan Province.

Abstract： Objective　To analyze the epidemiological characteristics of scrub typhus in Hainan Province from 2008 to 2023, forecast the epidemic trend in 2024, and provide a scientific basis for the prevention and control measures of scrub typhus in Hainan Province. Methods　The data of scrub typhus cases reported in Hainan Province from 2008 to 2023 were collected. Descriptive epidemiological methods were employed to analyze the temporal, spatial, and population distribution characteristics of scrub typhus. The simple moving average, seasonal decomposition, and seasonal autoregressive moving average (SARIMA) models were used to progressively deconstruct and analyze the epidemic patterns of scrub typhus in Hainan Province from 2008 to 2023 and predict its incidence trend in 2024. Results　A total of 4 300 scrub typhus cases were reported in Hainan Province from 2008 to 2023, with an average annual reported incidence of 2.75/100 000, and the annual reported incidence showed an increasing trend (Z=0.517, P=0.006). The population distribution characteristics were mainly among individuals aged 50-<70 years and those engaged in agriculture, forestry, fishery, and animal husbandry, with statistically significant differences (all P<0.001). There was an obvious seasonality in the temporal distribution, with cases primarily occurring from April to November, and peaking in October. In terms of regional distribution, the top four cities and counties with the highest cumulative reported cases were Qionghai City (826 cases), Wenchang City (558 cases), Chengmai County (486 cases), and Haikou City (452 cases), accounting for 54.00% of the total number of cases, and there were statistically significant differences in the number of reported cases among different cities (χ2=7 755.55, P<0.001). The SARIMA (1,0,2)(0,1,1)12 model fitted the incidence of scrub typhus in Hainan Province from 2008 to 2023 and predicted 364 cases in 2024, roughly equivalent to the number of cases in 2023. Conclusions　The incidence of scrub typhus in Hainan Province shows an overall increasing trend. Individuals aged 50-<70 years and those engaged in agriculture, forestry, fishery, and animal husbandry are the high-risk populations, with a prolonged peak incidence period. The number of predicted cases for 2024 is expected to remain consistent with 2023. Therefore, scientific interventions targeting high-risk populations before the peak incidence may improve the effectiveness of scrub typhus prevention and control.