OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

The surgical management of empyema (excluding those caused by mycobacterium tuberculosis and non-tuberculous mycobacteria) is rapidly evolving towards minimally invasive, precise, and stepwise approaches. The traditional three-stage classification (exudative, fibrinopurulent, and organizing) has limitations in guiding dynamic clinical decision-making. For the first time, this consensus explicitly identifies two critical junctures in the pathological progression of empyema: "early transformation" (stage Ⅰ to Ⅱ) and "late transformation" (stage Ⅱ to Ⅲ), and thereby constructs a corresponding "identification-early warning-intervention" stepwise therapeutic framework. The consensus emphasizes that proactive debridement via video-assisted thoracoscopic surgery should be performed during the early transformation phase to halt disease progression. Conversely, during the late transformation phase, therapeutic goals should be rationally adjusted to prioritize adequate drainage, avoiding futile pleural decortication. Moreover, the consensus underscores the pivotal role of precise perioperative etiological diagnosis (e.g. metagenomic nest-generation sequencing) and standardized anti-infective therapy. Integrating practical experiences from multiple thoracic surgery centers in China and relevant evidence-based literature, this consensus formulates recommendations on the precise definitions of staging, surgical indications for each phase, key technical points, perioperative management, and training systems. It aims to promote the standardized and individualized surgical management of empyema, ultimately optimizing patient prognosis.

Objective To explore the characteristics of fluid flow within loaded osteons under different boundary conditions.Methods The COMSOL Multiphysics software was used to establish a three-dimensional(3D)finite element model of osteons with different boundary conditions,and the variation rules of pore pressure and flow velocity of osteons under different inner wall pulsating blood pressures and outer wall elastic constraint conditions were analyzed.Results As the pulsatile blood pressure inside the osteon increased from 0 mmHg(1 mmHg=0.133 kPa)to 300 mmHg,the peak pore pressure within the osteon correspondingly increased from 26 kPa to 68 kPa.As the elastic constraint on the outer wall of osteons changed from being completely elastic to completely constrained,the peak pore pressure within osteons increased from 15 kPa to 26 kPa,and the peak flow velocity increased from 0.04 um/s to 0.07 um/s.Conclusions This study reveals the influence laws of changes in boundary conditions such as the pulsatile blood pressure on the inner wall and the elastic constraint on the outer wall of osteons on fluid flow characteristics within loaded osteons.These findings are conducive to a deeper understanding of the mechanical response mechanisms of bone tissues in both physiological and pathological states,and provide an important theoretical basrs for further researches on bone mechanotransduction.

Objective To explore the clinical application effects of Chen's pancreatojejunostomy in laparoscopic pancreaticoduodenectomy.Methods Clinical data of 176 patients who underwent laparoscopic pancreaticoduodenectomy in Xiangyang Central Hospital from January 2019 to December 2024 were retrospectively analyzed.According to the methods of intraoperative pancreatojejunostomy,the patients were divided into two groups,the research group(102 cases)using Chen's pancreatojejunostomy,and the control group(74 cases)using duct-to-mucosa pancreatojejunostomy.The two groups were compared on clinical indicators,including operation time,pancreatojejunostomy time,intraoperative blood loss,incidence of postoperative complications,length of hospital stay,and 30-day postoperative mortality rate.Results All 176 patients successfully underwent laparoscopic pancreaticoduodenectomy.There were no statistically significant differences between the two groups in intraoperative blood loss,biochemical leakage,abdominal bleeding,upper gastrointestinal bleeding,delayed gastric emptying,bile leakage,abdominal infection,and 30-day postoperative mortality rate(P＞0.05).The pancreatojejunostomy time[(22.33±5.95)min]and operation time[(334.60±66.42)min]in the study group were significantly shorter than those in the control group[(30.70±5.50)min]and[(414.46±60.96)min],with statistically significant differences(P＜0.05).Two groups of patients did not develop grade C pancreatic fistula.The incidence of grade B pancreatic fistula in the study group(5.88％)was significantly lower compared to the control group(16.22％),and this difference was statistically significant(P＜0.05).Additionally,The postoperative hospital stay of the study group patients[(17.10±6.89)days]was significantly shorter than in the control group[(20.88±8.40)days],with a statistically significant difference(P＜0.05).Conclusion Chen's pancreatojejunostomy is a feasible,safe,and effective procedure in laparoscopic pancreaticoduodenectomy,which can shorten the pancreatojejunostomy time,reduce the incidence of postoperative pancreatic fistula,and decrease the length of hospital stay.

Objective To investigate the clinical efficacy of wrapping the hepatic artery with the hepatogastric ligament for preventing bleeding of the hepatic artery and its branches following pancreaticoduodenectomy(PD).Methods 194 patients who underwent PD in Xiangyang Central Hospital from January 2017 to November 2024 were enrolled and categorized into two groups based on whether the hepatic artery was enwrapped with the hepatogastric ligament during the operation.The wrapped group consisted of 95 cases where the hepatic artery was wrapped,while the non-wrapped group had 99 cases without such wrapping.Intraoperative parameters(intraoperative blood loss and operative time)and postoperative complications(pancreatic fistula,abdominal cavity infection,biliary fistula,delayed gastric emptying,postoperative bleeding,and bleeding of the hepatic artery and its branches)were compared between the two cohorts.Univariate and multivariate Logistic regression analyses were conducted to identify the independent risk factors for postoperative bleeding.Results PD was accomplished successfully in both groups.There was no remarkable difference in intraoperative indices like blood loss and operative time between the two groups(P＞0.05).Similarly,no significant disparities were noted in postoperative complications such as pancreatic fistula,abdominal infection,biliary fistula,and delayed gastric emptying(P＞0.05).Nevertheless,the incidence of postoperative bleeding in the wrapped group was lower than that in the non-wrapped group(3.16％vs.12.12％,P=0.019),and the incidence of bleeding of the hepatic artery and its branches after surgery was also significantly decreased in the wrapped group(0 vs.10.10％,P=0.004).Logistic regression analysis revealed that the operation time(OR=1.013,P=0.011),pancreatic fistula(OR=9.006,P=0.006)and celiac infection(OR=7.930,P=0.014)are independent risk factors of postoperative bleeding,Hepatogastric ligament encapsulation of hepatic artery was an independent protective factor for postoperative hemorrhage of PD(OR=0.084,P=0.006).Conclusion Wrapping the hepatic artery with the hepatogastric ligament reduces PD postoperative bleeding,especially that of the hepatic artery and its branches,without adding other complications.

Objective:To evaluate the efficacy and safety of therapeutic temperature control in patients with severe traumatic brain injury (sTBI).Methods:The full-text databases of Chinese Medical Journal, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, VIP Database, China Biomedical Database, PubMed, Embase, and Cochrane Library were searched for randomized controlled trials (RCTs) of hypothermia treatment and conventional treatment in patients with sTBI. The search period was from January 2016 to June 2025. Meta-analysis was performed using RevMan 5.3 software. The evaluation indicators included intracranial pressure before treatment, at 3 and 5 days after treatment, favorable prognosis rate and mortality rate within 6 months after treatment, and incidence of pulmonary infection, intracranial infection, epilepsy, acute gastrointestinal dysfunction, deep vein thrombosis, abnormal coagulation function, and arrhythmia during treatment; publication bias.Results:A total of 33 studies involving 3 322 patients were included, with 1 696 patients in the temperature treatment group and 1 626 in the conventional treatment group. There was no statistically significant difference in intracranial pressure between the two groups before treatment ( SMD=0, 95% CI -0.13, 0.14, P>0.05). However, at 3 and 5 days after treatment, the intracranial pressure was lower in the temperature treatment group than that in the conventional treatment group ( SMD=-2.29, 95% CI -2.76, -1.82, P<0.01; SMD=-2.66, 95% CI -3.43, -1.89, P<0.01). Within 6 months after treatment, the favorable prognosis rate was higher in the temperature treatment group than that in the conventional treatment group ( RR=1.41, 95% CI 1.32, 1.50, P<0.01), and mortality rate was lower than that in the conventional treatment group ( RR=0.64, 95% CI 0.55, 0.75, P<0.01). Compared with the conventional treatment group, the incidences of epilepsy and acute gastrointestinal dysfunction in the temperature treatment group were statistically reduced ( RR=0.33, 95% CI 0.13, 0.83, P<0.05; RR=0.43, 95% CI 0.25, 0.74, P<0.05). There were no statistically significant differences in the incidence of pulmonary infection ( RR=0.96, 95% CI 0.85, 1.08, P>0.05), intracranial infection ( RR=0.56, 95% CI 0.20, 1.56, P>0.05), deep vein thrombosis ( RR=0.93, 95% CI 0.69, 1.25, P>0.05), abnormal coagulation function ( RR=1.19, 95% CI 0.43, 3.31, P>0.05) or arrhythmia ( RR=0.51, 95% CI 0.23, 1.12, P>0.05) between the two groups. Egger′s test indicated the presence of publication bias and the results remained robust after trim and fill analysis. Conclusions:For patients with sTBI, temperature control therapy shows lowered intracranial pressure and mortality rate as well as improved favorable prognosis rate at 6 months posttreatment, and decreased incidence of epilepsy and acute gastrointestinal dysfunction during treatment, while reveals similar incidence of pulmonary infection, intracranial infection, deep vein thrombosis, abnormal coagulation function, and arrhythmia when compared with conventional treatment.

Objective To explore the characteristics of fluid flow within loaded osteons under different boundary conditions.Methods The COMSOL Multiphysics software was used to establish a three-dimensional(3D)finite element model of osteons with different boundary conditions,and the variation rules of pore pressure and flow velocity of osteons under different inner wall pulsating blood pressures and outer wall elastic constraint conditions were analyzed.Results As the pulsatile blood pressure inside the osteon increased from 0 mmHg(1 mmHg=0.133 kPa)to 300 mmHg,the peak pore pressure within the osteon correspondingly increased from 26 kPa to 68 kPa.As the elastic constraint on the outer wall of osteons changed from being completely elastic to completely constrained,the peak pore pressure within osteons increased from 15 kPa to 26 kPa,and the peak flow velocity increased from 0.04 um/s to 0.07 um/s.Conclusions This study reveals the influence laws of changes in boundary conditions such as the pulsatile blood pressure on the inner wall and the elastic constraint on the outer wall of osteons on fluid flow characteristics within loaded osteons.These findings are conducive to a deeper understanding of the mechanical response mechanisms of bone tissues in both physiological and pathological states,and provide an important theoretical basrs for further researches on bone mechanotransduction.

BACKGROUND:The pelvis has abundant trabecular bone content,but the ability of conventional sacroiliac percutaneous fixation to control trabecular bone is limited,leading to fixation failure.Therefore,the development of devices that can more effectively control trabecular bone tension is of significant importance.OBJECTIVE:The mechanical properties of a novel sacroiliac tension screw were investigated using biomechanical testing and numerical modeling analysis,along with an assessment of the reliability of the pull-out force numerical model.METHODS:A mechanical model was established based on the working principle of the novel sacroiliac tension screw.Numerical methods were employed to analyze its pull-out performance,validated through mechanical testing with polyurethane material to assess the reliability of the pull-out force numerical model.Using pelvic specimens,the mechanical effectiveness of the novel sacroiliac tension screw in repairing sacroiliac joint injuries was analyzed under normal standing posture,along with an evaluation of the load stiffness of different pelvic models in the standing position.RESULTS AND CONCLUSION:(1)The average error between the computed values of the numerical model and the measured values was 13.19％,indicating a certain level of validity for the numerical model.(2)The damage to the polyurethane material after the extraction of the screw was less pronounced in the novel screw group.(3)The average effective holding displacement for the novel screw was approximately(9.24±0.27)mm,significantly greater than the average displacement of(1.71±0.57)mm observed with the lag screws.However,the maximum resistance to pullout for the lag screws was significantly higher than that for the novel screws.(4)The novel screw effectively repaired sacroiliac joint injuries.(5)The stiffness after repair of sacroiliac joint injuries was equivalent when using a single novel screw compared to using two lag screws.(6)These results prove that the theoretical model for the maximum resistance to pullout of the screws established in this study has a certain level of validity and can guide the design of them with improved mechanical performance.The novel sacroiliac spiral blade screw can effectively hold trabecular bone and has practical clinical utility.

Objective:To evaluate the efficacy and safety of fecal microbiota transplantation (FMT) for treating functional constipation, analyze the incidence of, and factors that influence, adverse events, and provide scientific evidence for optimizing FMT treatment.Methods:This retrospective, multicenter, single-arm, pre–post real-world study included 1529 patients with functional constipation from four clinical centers. Eligibility criteria comprised meeting the diagnostic criteria for functional constipation, having undergone at least one FMT treatment, complete pre- and post-treatment data available, and age ≥18 years. Patients who had received other interventions affecting gut function within 1 month before treatment and those with severe organic diseases or immune deficiencies were excluded. Applying the above criteria yielded 1529 eligible patients with functional constipation from four medical centers (1405 from the Shanghai Tenth People's Hospital Affiliated to Tongji University, 20 from the Central Hospital of Wuhan, 67 from the Shanxi Bethune Hospital and 37 from the Longgang District People's Hospital of Shenzhen). The study cohort comprised 746 male (48.8%) and 783 female patients (51.2%) of mean age (51.4 ± 17.4) years, mean body mass index (26.4 ± 4.9) kg/m2, and mean duration of disease (15.0 ± 8.3) years. The primary outcomes were the incidence, types, and severity of adverse reactions during treatment, and their impact on patients' quality of life. Secondary outcomes included: (1) the efficacy of FMT in treating constipation. This was assessed based on changes in Patient Assessment of Constipation Symptoms (PAC-SYM) scores, where higher score indicates worse symptom. (2) Subjective satisfaction, evaluated through questionnaires or rating scales, reflecting patients' acceptance of and satisfaction with the treatment, with scores ranging from 1 to 5, where higher scores indicated greater satisfaction. Paired t-tests and Wilcoxon signed-rank tests were used to evaluate changes in symptom scores and biochemical indicators before and after treatment. Logistic regression was performed to analyze factors influencing adverse events, and subgroup analyses to explored differences in efficacy between patient groups.Results:In this cohort of 1529 patients with functional constipation, adverse reactions were primarily mild to moderate (1048/1529,68.5%). They comprised fever in 54 patients (3.5%), dizziness or fatigue in 218 (14.3%), throat discomfort in 806 (52.7%), nausea and vomiting in 166 (10.9%), and abdominal distension or pain in 415 (27.1%). According to multivariate logistic regression analysis, PAC-SYM scores were associated with the rate of adverse reactions, higher scores indicating a lower risk (OR = 0.958, 95% CI: 0.923–0.993, P=0.021). Among the 1529 patients, 274 (17.9%) underwent two or more treatment courses. After one treatment course, the patients' PAC-SYM scores decreased from (37.7 ± 3.2) pre-treatment to (23.7 ± 8.6) (mean difference 14.0 ± 9.1). PAC-SYM scores decreased by (20.7 ± 7.7) after two courses of FMT, and by (19.4 ± 6.3) after three courses. After treatment, 50.7%(775/1529) of patients reported satisfaction scores of ≥4. Adverse reactions impacted satisfaction; specifically, dizziness/fatigue, throat discomfort, and abdominal distension/pain were significantly associated with satisfaction (all P < 0.05). Conclusions:FMT achieved good relief of symptoms of functional constipation and multiple treatment courses have a cumulative effect. Adverse reactions, mainly dizziness/fatigue, throat discomfort, and abdominal distension/pain, had significant negative impacts on patient satisfaction.