Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Objective To conduct a rapid health technology assessment(rHTA)of the efficacy,safety,and cost-effectiveness of tirzepatide for the treatment of type 2 diabetes mellitus(T2DM),and to provide evidence for clinical medication.Methods PubMed,Web of Science,Embase,Cochrane Library,WanFang Data,CNKI databases,and health technology assessment(HTA)websites were searched to collect systematic reviews/Meta-analysis,pharmacoecomic literature and HTA reports of tirzepatide in the treatment of T2DM from inception to February 28,2025.Two researchers independently conducted literature screening,data extraction,and quality assessment,and then summarized and analyzed the results.Results A total of 13 articles were included,comprising 2 HTA reports,8 systematic reviews/Meta-analyses,and 3 pharmacoeconomic studies.In terms of efficacy,tirzepatide outperformed placebo or other antidiabetic drugs in reducing glycated hemoglobin(HbA1c),increasing the rate of HbA1c＜7％,lowering blood glucose,and reducing weight.The antihyperglycemic and weight-loss effects of tirzepatide were dose-dependent,and it also had certain advantages in reducing the risk of cardiovascular events and renal composite endpoint events.Regarding safety,the incidence of gastrointestinal adverse events in the tirzepatide group was higher than that in the placebo group and the insulin group,mainly manifested as diarrhea,nausea,and vomiting.However,it did not increase the risk of serious gastrointestinal adverse events,nor did it increase the risk of hypoglycemia and pancreatitis.In terms of cost-effectiveness,tirzepatide had cost-utility and cost-effectiveness advantages compared with semaglutide and other antidiabetic drugs.Conclusion Compared with other antidiabetic drugs,tirzepatide has better efficacy,safety,and cost-effectiveness in the treatment of T2DM.

AIM:To investigate the biological functions and molecular mechanisms of long noncoding RNA LINC01615 in head and neck squamous cell carcinoma(HNSCC)cells.METHODS:Transcriptome sequencing data from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)databases were used to analyze the expres-sion level of LINC01615 in HNSCC cells and its correlation with patient survival.RT-qPCR was used to detect the expres-sion levels of LINC01615 in HNSCC and normal control cells.An siRNA-mediated LINC01615 knockdown HNSCC cell model was established,and high-content screening cell counting,ATP and CCK8 assays were performed to analyze cell proliferation.Transwell assays were conducted to assess cell migration and invasion.Bioinformatics analysis was em-ployed to predict potential target genes of LINC01615 and the biological processes and signaling pathways involved.RT-qPCR and Western blot were used to validate the regulatory effect of LINC01615 on the candidate target gene TEAD2.Transcriptome data from TCGA and GEO databases were analyzed to determine the expression pattern of TEAD2 in HN-SCC.Functional cell experiments were performed to investigate the impact of TEAD2 knockdown on HNSCC proliferation,migration,and invasion.Rescue experiments were conducted to examine whether LINC01615 influenced the malignant phenotypes(proliferation,migration,and invasion)of HNSCC cells by regulating TEAD2 expression.RESULTS:The expression levels of LINC01615 were significantly higher in HNSCC tissues and cells than those in normal control tissues and cells,respectively(P<0.01).Knockdown of LINC01615 significantly inhibited HNSCC proliferation,migration,and invasion(P<0.01).Bioinformatics analysis identified 134 candidate target genes of LINC01615,which were primarily en-riched in tumor-related biological processes and signaling pathways,including angiogenesis,regulation of endothelial cell proliferation,regulation of cell migration,HPV infection,Hippo signaling pathway,and PI3K-Akt signaling pathway.Knockdown of LINC01615 led to a significant decrease in TEAD2 expression in HNSCC cells(P<0.01).Functional cell studies demonstrated that TEAD2 knockdown suppressed HNSCC proliferation,migration,and invasion,whereas TEAD2 overexpression reversed the inhibitory effects of LINC01615 knockdown on these malignant phenotypes.CONCLUSION:LINC01615 is upregulated in HNSCC tissues and cells,functioning as an oncogene.Mechanistic studies reveal that LINC01615 promotes HNSCC proliferation,migration,and invasion by upregulating TEAD2,a key transcription factor in the Hippo signaling pathway.These findings may provide a novel potential biomarker for the clinical diagnosis and treat-ment of HNSCC.

Objective To evaluate the modeling characteristics and predictive performance of models for predicting post-stroke neurological deterioration(ND)published in existing literatures.Methods Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)guidance for scoping reviews,a comprehensive search was conducted in PubMed,CINAHL,Cochrane Library,Embase,Web of Science,Scopus,CNKI,Wanfang Data,and VIP databases from inception to December 15,2024.The search strategy combined Medical Subject Headings(MeSH)and free-text terms,with key words including"Stroke""Ischemic Stroke""Neurological Deterioration""Nomograms""Risk Prediction""Predictive Models""卒中""脑梗死""脑出血""神经功能恶化"and"预测模型".Base on the data extraction checklist and critical appraisal,data extraction covered three domains:(1)basic characteristics,including author,publication year,country,study design(retrospective,prospective,registry-based),sample source(single-center,multicenter),stroke subtypes(acute ischemic stroke[AIS]-conservative therapy,AIS-intravenous thrombolysis[IVT],AIS-endovascular therapy[EVT],intracerebral hemorrhage[ICH]),ND time windows(acute[≤72 h],subacute[≤ 7 d],long-term[≤90 d]),and outcome types(single/composite endpoints);(2)model evaluation metrics,including missing data handling(complete-case analysis,multiple imputation),model development methodologies(multivariate Logistic regression,least absolute shrinkage and selection operator regression,machine learning),presentation formats(nomograms,web calculators,risk prediction tool),discrimination(area under the curve,C-index),calibration(Hosmer-Lemeshow test,calibration curve and slope),clinical utility(decision curve analysis[DCA],global metrics Brier score,R2,AIC),sample size(training set,internal validation set,external validation set),sample size requirements(events per variable[EPV]≥10 to mitigate overfitting),and validation(internal/external);(3)predictor features,including selection strategies(prior knowledge-driven,univariate analysis),quantity,and attributes(demographics,medical history,physical examination,treatment intervention information,imaging/laboratory indicators).Predictive models that meet exclusion criteria from prior literature were analyzed by their discrimination,calibration,clinical utility and global metrics.Forest plots were utilized to visualize discrimination(evaluated via difference in area under the curve)of the extracted models.The prediction model risk of bias assessment tool(PROBAST)was applied to assess bias risk and clinical applicability.Occurrence frequencies of the post-stroke neurological deterioration predictors were ranked and the top 6 high-frequency predictors were extracted.Results(1)Among 3 728 screened studies,25 were included based on the inclusion and exclusion criteria.(2)Basic characteristics:retrospective(72％[18/25])and single-center(64％[16/25])designs dominated.With most models targeted on AIS(92％[23/25]),and the rest(8％[2/25])on ICH.ND was primarily defined by neurological scale changes(60％[15/25];e.g.,National Institutes of Health stroke scale[NIHSS]score increase or Glasgow coma scale[GCS]score decrease),with time windows categorized as acute(36％[9/25]),subacute(48％[12/25]),or long-term(16％[4/25]).(3)Model evaluation:multivariate Logistic regression(96％[24/25])and nomograms(88％[22/25])were predominant.Only 24％(6/25)explicitly addressed missing data handling methods,and 52％(13/25)with EPV≥10.The median area under the curve was 0.865(range:0.650-0.981).44％(11/25)of the studies reported calibration curves,and 4％(1/25)reported calibration slopes.All studies utilized DCA to validate their clinical applicability,84％(21/25)of the studies conducted internal validation,while only 32％(8/25)conducted external validation.PROBAST evaluation revealed low overall bias risk in 8％(2/25;no error across participant,predictor,outcome,or analysis domains)and low clinical applicability risk in 44％(11/25;alignment with target populations,accessible predictors,and clinically relevant outcomes)of the studies.(4)Predictors:64％(16/25)of the predictor were screened predominantly through the prior knowledge-driven based strategy.The top 6 high-frequency predictors are NIHSS score(64％[16/25]),age(36％[9/25]),blood glucose/diabetes(36％[9/25]),blood pressure/hypertension(32％[8/25]),the Alberta stroke program early CT score(20％[5/25]),and neutrophil-to-lymphocyte ratio(20％[5/25]).AIS-ND predictors emphasized readily available metrics,such as NIHSS(65％[15/23]),age(35％[8/23]),while ICH-ND primarily relied on imaging markers(e.g.,baseline hematoma volume[2/2],location[1/2]).Conclusion Current post-stroke ND predictive models demonstrate satisfactory performance on discrimination and multimodal integration,but their practical application are hindered by insufficient calibration quantification,high bias risk,and limited clinical translatability.

AIM:To investigate the biological functions and molecular mechanisms of long noncoding RNA LINC01615 in head and neck squamous cell carcinoma(HNSCC)cells.METHODS:Transcriptome sequencing data from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)databases were used to analyze the expres-sion level of LINC01615 in HNSCC cells and its correlation with patient survival.RT-qPCR was used to detect the expres-sion levels of LINC01615 in HNSCC and normal control cells.An siRNA-mediated LINC01615 knockdown HNSCC cell model was established,and high-content screening cell counting,ATP and CCK8 assays were performed to analyze cell proliferation.Transwell assays were conducted to assess cell migration and invasion.Bioinformatics analysis was em-ployed to predict potential target genes of LINC01615 and the biological processes and signaling pathways involved.RT-qPCR and Western blot were used to validate the regulatory effect of LINC01615 on the candidate target gene TEAD2.Transcriptome data from TCGA and GEO databases were analyzed to determine the expression pattern of TEAD2 in HN-SCC.Functional cell experiments were performed to investigate the impact of TEAD2 knockdown on HNSCC proliferation,migration,and invasion.Rescue experiments were conducted to examine whether LINC01615 influenced the malignant phenotypes(proliferation,migration,and invasion)of HNSCC cells by regulating TEAD2 expression.RESULTS:The expression levels of LINC01615 were significantly higher in HNSCC tissues and cells than those in normal control tissues and cells,respectively(P<0.01).Knockdown of LINC01615 significantly inhibited HNSCC proliferation,migration,and invasion(P<0.01).Bioinformatics analysis identified 134 candidate target genes of LINC01615,which were primarily en-riched in tumor-related biological processes and signaling pathways,including angiogenesis,regulation of endothelial cell proliferation,regulation of cell migration,HPV infection,Hippo signaling pathway,and PI3K-Akt signaling pathway.Knockdown of LINC01615 led to a significant decrease in TEAD2 expression in HNSCC cells(P<0.01).Functional cell studies demonstrated that TEAD2 knockdown suppressed HNSCC proliferation,migration,and invasion,whereas TEAD2 overexpression reversed the inhibitory effects of LINC01615 knockdown on these malignant phenotypes.CONCLUSION:LINC01615 is upregulated in HNSCC tissues and cells,functioning as an oncogene.Mechanistic studies reveal that LINC01615 promotes HNSCC proliferation,migration,and invasion by upregulating TEAD2,a key transcription factor in the Hippo signaling pathway.These findings may provide a novel potential biomarker for the clinical diagnosis and treat-ment of HNSCC.

Objective To conduct a rapid health technology assessment(rHTA)of the efficacy,safety,and cost-effectiveness of tirzepatide for the treatment of type 2 diabetes mellitus(T2DM),and to provide evidence for clinical medication.Methods PubMed,Web of Science,Embase,Cochrane Library,WanFang Data,CNKI databases,and health technology assessment(HTA)websites were searched to collect systematic reviews/Meta-analysis,pharmacoecomic literature and HTA reports of tirzepatide in the treatment of T2DM from inception to February 28,2025.Two researchers independently conducted literature screening,data extraction,and quality assessment,and then summarized and analyzed the results.Results A total of 13 articles were included,comprising 2 HTA reports,8 systematic reviews/Meta-analyses,and 3 pharmacoeconomic studies.In terms of efficacy,tirzepatide outperformed placebo or other antidiabetic drugs in reducing glycated hemoglobin(HbA1c),increasing the rate of HbA1c＜7％,lowering blood glucose,and reducing weight.The antihyperglycemic and weight-loss effects of tirzepatide were dose-dependent,and it also had certain advantages in reducing the risk of cardiovascular events and renal composite endpoint events.Regarding safety,the incidence of gastrointestinal adverse events in the tirzepatide group was higher than that in the placebo group and the insulin group,mainly manifested as diarrhea,nausea,and vomiting.However,it did not increase the risk of serious gastrointestinal adverse events,nor did it increase the risk of hypoglycemia and pancreatitis.In terms of cost-effectiveness,tirzepatide had cost-utility and cost-effectiveness advantages compared with semaglutide and other antidiabetic drugs.Conclusion Compared with other antidiabetic drugs,tirzepatide has better efficacy,safety,and cost-effectiveness in the treatment of T2DM.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

ObjectiveTo investigate the triglyceride-glucose (TyG) index and the level of serum homocysteine (Hcy) in association with the incidence of stroke in type 2 diabetes mellitus (T2DM) patients. MethodsBased on the chronic disease risk factor surveillance cohort in Pudong New Area, Shanghai, excluding those with stroke in baseline survey, T2DM patients who joined the cohort from January 2016 to October 2020 were selected as the research subjects. During the follow-up period, a total of 318 new-onset ischemic stroke patients were selected as the case group, and a total of 318 individuals matched by gender without stroke were selected as the control group. The Cox proportional hazards regression model was used to adjust for confounding factors and explore the serum TyG index and the Hcy biochemical indicator in association with the risk of stroke. ResultsThe Cox proportional hazards regression results showed that after adjusting for confounding factors, the risk of stroke in T2DM patients with 10 μmol·L⁻¹-¹ and Hcy>15 μmol·L⁻¹ was 1.532 times (95%CI: 1.017‒2.309 times, P=0.041) and 1.738 times (95%CI: 1.119‒2.699 times, P=0.014) higher respectively, compared to T2DM patients with Hcy≤10 μmol·L⁻¹. T2DM patients with TyG>9.074 had 1.396 times higher risk of stroke (95%CI: 1.091‒1.787, P=0.008) compared to those with TyG≤9.074. The study found that urea and α1-antitrypsin (α1-AT) were independent risk factors for the incidence of stroke in T2DM patients. For every unit increase in urea andα1-AT, the risk of stroke in T2DM patients increased by 233.6% (HR=3.336, 95%CI: 1.588‒7.009, P=0.001) and 11.3% (HR=1.113, 95%CI: 1.028‒1.205, P=0.008), respectively. Cumulative risk curves showed that Hcy>10 μmol·L⁻¹ and TyG>9.074 accelerated the time to stroke occurrence in T2DM patients. ConclusionElevated levels of Hcy>10 μmol·L⁻¹ and a higher TyG index are risk factors for stroke in T2DM patients. Effective interventions for Hcy and TyG should be conducted for diabetic patients to reduce the incidence of stroke.

Objective To evaluate the modeling characteristics and predictive performance of models for predicting post-stroke neurological deterioration(ND)published in existing literatures.Methods Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)guidance for scoping reviews,a comprehensive search was conducted in PubMed,CINAHL,Cochrane Library,Embase,Web of Science,Scopus,CNKI,Wanfang Data,and VIP databases from inception to December 15,2024.The search strategy combined Medical Subject Headings(MeSH)and free-text terms,with key words including"Stroke""Ischemic Stroke""Neurological Deterioration""Nomograms""Risk Prediction""Predictive Models""卒中""脑梗死""脑出血""神经功能恶化"and"预测模型".Base on the data extraction checklist and critical appraisal,data extraction covered three domains:(1)basic characteristics,including author,publication year,country,study design(retrospective,prospective,registry-based),sample source(single-center,multicenter),stroke subtypes(acute ischemic stroke[AIS]-conservative therapy,AIS-intravenous thrombolysis[IVT],AIS-endovascular therapy[EVT],intracerebral hemorrhage[ICH]),ND time windows(acute[≤72 h],subacute[≤ 7 d],long-term[≤90 d]),and outcome types(single/composite endpoints);(2)model evaluation metrics,including missing data handling(complete-case analysis,multiple imputation),model development methodologies(multivariate Logistic regression,least absolute shrinkage and selection operator regression,machine learning),presentation formats(nomograms,web calculators,risk prediction tool),discrimination(area under the curve,C-index),calibration(Hosmer-Lemeshow test,calibration curve and slope),clinical utility(decision curve analysis[DCA],global metrics Brier score,R2,AIC),sample size(training set,internal validation set,external validation set),sample size requirements(events per variable[EPV]≥10 to mitigate overfitting),and validation(internal/external);(3)predictor features,including selection strategies(prior knowledge-driven,univariate analysis),quantity,and attributes(demographics,medical history,physical examination,treatment intervention information,imaging/laboratory indicators).Predictive models that meet exclusion criteria from prior literature were analyzed by their discrimination,calibration,clinical utility and global metrics.Forest plots were utilized to visualize discrimination(evaluated via difference in area under the curve)of the extracted models.The prediction model risk of bias assessment tool(PROBAST)was applied to assess bias risk and clinical applicability.Occurrence frequencies of the post-stroke neurological deterioration predictors were ranked and the top 6 high-frequency predictors were extracted.Results(1)Among 3 728 screened studies,25 were included based on the inclusion and exclusion criteria.(2)Basic characteristics:retrospective(72％[18/25])and single-center(64％[16/25])designs dominated.With most models targeted on AIS(92％[23/25]),and the rest(8％[2/25])on ICH.ND was primarily defined by neurological scale changes(60％[15/25];e.g.,National Institutes of Health stroke scale[NIHSS]score increase or Glasgow coma scale[GCS]score decrease),with time windows categorized as acute(36％[9/25]),subacute(48％[12/25]),or long-term(16％[4/25]).(3)Model evaluation:multivariate Logistic regression(96％[24/25])and nomograms(88％[22/25])were predominant.Only 24％(6/25)explicitly addressed missing data handling methods,and 52％(13/25)with EPV≥10.The median area under the curve was 0.865(range:0.650-0.981).44％(11/25)of the studies reported calibration curves,and 4％(1/25)reported calibration slopes.All studies utilized DCA to validate their clinical applicability,84％(21/25)of the studies conducted internal validation,while only 32％(8/25)conducted external validation.PROBAST evaluation revealed low overall bias risk in 8％(2/25;no error across participant,predictor,outcome,or analysis domains)and low clinical applicability risk in 44％(11/25;alignment with target populations,accessible predictors,and clinically relevant outcomes)of the studies.(4)Predictors:64％(16/25)of the predictor were screened predominantly through the prior knowledge-driven based strategy.The top 6 high-frequency predictors are NIHSS score(64％[16/25]),age(36％[9/25]),blood glucose/diabetes(36％[9/25]),blood pressure/hypertension(32％[8/25]),the Alberta stroke program early CT score(20％[5/25]),and neutrophil-to-lymphocyte ratio(20％[5/25]).AIS-ND predictors emphasized readily available metrics,such as NIHSS(65％[15/23]),age(35％[8/23]),while ICH-ND primarily relied on imaging markers(e.g.,baseline hematoma volume[2/2],location[1/2]).Conclusion Current post-stroke ND predictive models demonstrate satisfactory performance on discrimination and multimodal integration,but their practical application are hindered by insufficient calibration quantification,high bias risk,and limited clinical translatability.

Objective:To evaluate the safety and efficacy of combined inflatable mediastinoscopy with laparoscopy guided by the concept of “reduced field and port” during esophagectomy for esophageal cancer.Methods:This is a retrospective cohort study. The clinical data of 497 patients with esophageal squamous cell carcinoma who underwent minimally invasive esophagectomy at the Center of Minimally Invasive Thoracic Surgery, the Second Affiliated Hospital of Naval Medical University, between January 2017 and December 2024 were retrospectively analyzed. There were 416 male and 81 female patients, with an age of (68.3±8.0) years (range: 44 to 89 years). Patients were divided into the traditional video-assisted thoracoscopic surgery group (Group A, n=354) and the combined inflatable mediastinoscopy with laparoscopic surgery group(Group B, n=143) based on the surgical approach. Furthermore, Group B was subdivided into the multiport laparoscopic group (Group B1, n=81) and the single-incision laparoscopic surgery plus one port group (Group B2, n=62). Perioperative indicators and postoperative survival differences were compared between the groups. Inter-group comparisons were performed using the independent sample t-test, χ2 test, or Fisher′s exact probability test. Survival curves were plotted using the Kaplan-Meier method, and the Log-rank test was used to analyze the survival differences between groups. Results:Compared with Group A, Group B demonstrated a significantly shorter operative time ((181.8±11.4) minutes vs. (196.7±8.1)minutes, t=16.09, P<0.01), a lower incidence of postoperative pulmonary complications (8.4% (12/143) vs. 17.8% (63/354), χ2=6.27, P=0.012), lower perioperative mortality (0 vs. 3.1%(11/354), P=0.039), and a shorter postoperative hospital stay ((16.2±2.2)days vs. (18.9±4.1)days, t=8.56, P<0.01). There was no significant difference in the anastomotic leak rate, number of lymph nodes dissected, or intraoperative blood loss between the two groups (all P>0.05). Overall survival time and recurrence-free survival time showed no significant difference between the two groups (all P>0.05). Subgroup analysis revealed no significant differences in perioperative indicators or postoperative complication rates between Group B1 and Group B2. Conclusions:Compared with traditional thoracoscopic combined with laparoscopic surgery, inflatable mediastinoscopy offered advantages in terms of lower postoperative pulmonary complication rates, shorter operative time, reduced postoperative hospital stay, and lower perioperative mortality. The “reduced field and port” concept could further minimize surgical trauma during the transmediastinal approach for esophagectomy while ensuring surgical safety and efficacy.