Objective To analyze the relationship between neuroticism and gastroesophageal reflux disease (GERD) using the Mendelian randomization (MR) method. Methods Exposure and outcome data were downloaded from the Integrative Epidemiology Unit (IEU) database in August 2023, including summary statistics from genome-wide association studies (GWAS) for neuroticism (n=374 323) and GERD (n=602 604). MR was conducted using the weighted median method, MR-Egger method, inverse variance weighted method, weighted mode method, and simple mode method. The causal relationship between the two was assessed using odds ratio (OR), and sensitivity analyses were performed to ensure the accuracy of the results. Results Neuroticism was associated with an increased risk of GERD [OR=1.229, 95%CI (1.186, 1.274), P<0.001]. Similarly, GERD was associated with an increased risk of neuroticism [OR=1.786, 95%CI (1.623, 1.965), P<0.001]. Conclusion There is a bidirectional causal relationship between neuroticism and gastroesophageal reflux disease.

Objective     To investigate the accuracy of 18F-FDG positron emission tomography/computed tomography (PET/CT) combined with CT three-dimensional reconstruction (CT-3D) in the differential diagnosis of benign and malignant pulmonary nodules. Methods     The clinical data of patients who underwent pulmonary nodule surgery in the Department of Thoracic Surgery, Northern Jiangsu People&#39;s Hospital from July 2020 to August 2021 were retrospectively analyzed. The preoperative 18F-FDG PET/CT and chest enhanced CT-3D and other imaging data were extracted. The parameters with diagnostic significance were screened by the area under the receiver operating characteristic (ROC) curve (AUC). Three prediction models, including PET/CT prediction model (MOD PET), CT-3D prediction model (MOD CT-3D), and PET/CT combined CT-3D prediction model (MOD combination), were established through binary logistic regression, and the diagnostic performance of the models were validated by ROC curve. Results     A total of 125 patients were enrolled, including 57 males and 68 females, with an average age of 61.16±8.57 years. There were 46 patients with benign nodules, and 79 patients with malignant nodules. A total of 2 PET/CT parameters and 5 CT-3D parameters were extracted. Two PET/CT parameters, SUVmax≥1.5 (AUC=0.688) and abnormal uptake of hilar/mediastinal lymph node metabolism (AUC=0.671), were included in the regression model. Among the CT-3D parameters, CT value histogram peaks (AUC=0.694) and CT-3D morphology (AUC=0.652) were included in the regression model. Finally, the AUC of the MOD PET was verified to be 0.738 [95%CI (0.651, 0.824)], the sensitivity was 74.7%, and the specificity was 60.9%; the AUC of the MOD CT-3D was 0.762 [95%CI (0.677, 0.848)], the sensitivity was 51.9%, and the specificity was 87.0%; the AUC of the MOD combination was 0.857 [95%CI (0.789, 0.925)], the sensitivity was 77.2%, the specificity was 82.6%, and the differences were statistically significant (P<0.001). Conclusion     18F-FDG PET/CT combined with CT-3D can improve the diagnostic performance of pulmonary nodules, and its specificity and sensitivity are better than those of single imaging diagnosis method. The combined prediction model is of great significance for the selection of surgical timing and surgical methods for pulmonary nodules, and provides a theoretical basis for the application of artificial intelligence in the pulmonary nodule diagnosis.

The human gut microbiota regulates many host pathophysiological processes including metabolic, inflammatory, immune and cellular responses. In recent years, the incidence and mortality of lung cancer have increased rapidly, which is one of the biggest challenges in the field of cancer treatment today, especially in non-small cell lung cancer. Animal models and clinical studies have found that the gut microbiota of non-small cell lung cancer patients is significantly changed compared with the healthy people. The gut microbiota and metabolites can not only play a pro-cancer or tumor suppressor role by regulating immune, inflammatory responses and so on, but also be related with radiotherapy and chemotherapy of non-small cell lung cancer and the resistance of immunotherapy. Therefore, gut microbiota and related metabolites can be both potential markers for early diagnosis and prognosis in patients with non-small cell lung cancer and novel therapeutic targets for targeted drugs. This study will review the latest research progress of effect of gut microbiota on non-small cell lung cancer, and provide a new diagnosis and treatment ideas for non-small cell lung cancer.

Objective    To explore the application value of machine learning models in predicting postoperative survival of patients with thoracic squamous esophageal cancer. Methods    The clinical data of 369 patients with thoracic esophageal squamous carcinoma who underwent radical esophageal cancer surgery at the Department of Thoracic Surgery of Northern Jiangsu People&#39;s Hospital from January 2014 to September 2015 were retrospectively analyzed. There were 279 (75.6%) males and 90 (24.4%) females aged 41-78 years. The patients were randomly divided into a training set (259 patients) and a test set (110 patients) with a ratio of 7 : 3. Variable screening was performed by selecting the best subset of features. Six machine learning models were constructed on this basis and validated in an independent test set. The  performance of the models&#39; predictions was evaluated by area under the curve (AUC), accuracy and logarithmic loss, and the fit of the models was reflected by calibration curves. The best model was selected as the final model. Risk stratification was performed using X-tile, and survival analysis was performed using the Kaplan-Meier method with log-rank test. Results    The 5-year postoperative survival rate of the patients was 67.5%. All clinicopathological characteristics of patients between the two groups in the training and test sets were not statistically different (P>0.05). A total of seven variables, including hypertension, history of smoking, history of alcohol consumption, degree of tissue differentiation, pN stage, vascular invasion and nerve invasion, were included for modelling. The AUC values for each model in the independent test set were: decision tree (AUC=0.796), support vector machine (AUC=0.829), random forest (AUC=0.831), logistic regression (AUC=0.838), gradient boosting machine (AUC=0.846), and XGBoost (AUC=0.853). The XGBoost model was finally selected as the best model, and risk stratification was performed on the training and test sets. Patients in the training and test sets were divided into a low risk group, an intermediate risk group and a high risk group, respectively. In both data sets, the differences in surgical prognosis among three groups were statistically significant (P<0.001). Conclusion    Machine learning models have high value in predicting postoperative prognosis of thoracic squamous esophageal cancer. The XGBoost model outperforms common machine learning methods in predicting 5-year survival of patients with thoracic squamous esophageal cancer, and it has high utility and reliability.

Objective To evaluate and analyze the panel composition and conflict of interest management of clinical practice guidelines of rehabilitation.Methods Clinical practice guidelines of rehabilitation were systematically retrieved from PubMed, EMBASE, China Biology Medicine disc, CNKI, Wanfang Data and Medlive database, the National Institute for Health and Care Excellence, National Guideline Clearinghouse, The Scottish Intercollegiate Guidelines Network, World Health Organization (WHO) and Guidelines International Network until January 11, 2020. Two researchers independently screened and cross-checked the literatures, and extracted the basic information of included guidelines, including the title, formulating institution, published journol, as well as the expert group, the number of expert group, the specific division of labor and their discipline, affiliation and the geographic location, the statement and management of conflict of interest, types of conflicts of interest, and whether to accept fund and the source of the fund.Results A total of 84 guidelines were finally included, 17 domestic ones and 67 foreign ones, in which, 52 (61.9%) reported the expert panel; 22 (26.2%) reported the number of expert panel groups, 21 (25.0%) indicated the specific division of work among the members of the expert panel, 74 (88.1%) reported the names of the members of the expert panel, 47 (56.0%) reported the subjects and specialties of the panelists, 70 (83.3%) reported the affiliation and location of panelists, 14 (16.7%) mentioned the management of conflicts of interest, and 25 (29.8%) reported if there were conflicts of interest. Only five of the 16 funded guidelines stated that there was no conflict of interest between the funding and the development of the guidelines. Among them, the reporting rate of expert panel was significantly higher in foreign countries than in China (χ2 = 9.542, P < 0.01), the reporting rate of name of expert panel members and specific division of labor were higher in foreign countries than in China ( χ2 > 4.155, P < 0.05), and the reporting rate of conflict of interest management was also higher in foreign countries than in China ( P < 0.05). There was no significant difference in whether there was a conflict of interest, whether it was funded and the type of funding at home and abroad ( P > 0.05). Conclusion In gerenal, clinical practice guidelines of rehabilitation published at home and abroad are necessary to be improved in the reporting quality of expert group formulation and division of labor, conflict of interest reporting and management. It is proposed that future guideline developers should follow the WHO Handbook for Guideline Development, assign roles of experts, strengthen the management and reporting of conflicts of interest, and standarderize the development process and reporting of the guidelines.

Objective To analyze the contents of the recommendations of stroke clinical rehabilitation guidelines in order to provide advice for the development and implementation of stroke rehabilitation guidelines.Methods PubMed, EMBASE, CNKI, China Biology Medicine disc, Wanfang databases and guideline-related websites were retrieved from the date of establishment to January 2020, to collect stroke clinical rehabilitation guidelines. The main content, recommendations based on evidence, the type of evidences, and the scope of evidence classification had been explored based on World Health Organization Handbook for Guideline Development-2nd Edition.Results A total of twelve guidelines were included in this study, one in Chinese and eleven in English. They were from the United States (3 guidelines), United Kingdom (3 guidelines), Canada (3 guidelines), Australia (2 guidelines) and China (1 guidelines), and published from September, 2005 to February, 2019. Three articles (25.0%) used the Appraisal of Guidelines for Research and Evaluation (AGREE) for quality evaluation, and two articles (16.7%) used Grading of Recommendations Assessment, Development and Evaluation (GRADE) as the grading system. The recommendations covered the areas such as: cognitive dysfunction (4 dimensions) with a recommendation of cognitive function assessment at most (7 guidelines, 66.7%), language and swallowing dysfunction (5 dimensions) with a recommendation of swallowing-related complications at most (10 guidelines, 83.3%), motor dysfunction (6 dimensions) with a recommendation of spasm treatment at most (10 guidelines, 83.3%), and psychological and behavioral dysfunction (4 dimensions) with a recommendation for assessment or monitoring at most (6 guidelines, 50.0%). There were many recommendations in these areas, but the types of evidence were different, and observational studies and/or randomized controlled trials accounted for most.Conclusion There are different types of evidence and levels of recommendation strength. It is proposed for future guideline developers in stroke rehabilitation to follow World Health Organization Handbook for Guideline Development-2nd Edition to improve the quality and the overall implementation of the rehabilitation guidelines, and to improve the quality and safety of rehabilitation.

AIM: To explore the factors affecting visual acuity recovery after phacoemulsification for high myopia complicated with cataract.

METHODS: From March 2015 to October 2017, 86 eyes of 70 patients with high myopia complicated with cataract were treated by phacoemulsification, and the factors affecting the visual acuity recovery after phacoemulsification for high myopia complicated with cataract were analyzed.

RESULTS: There was no correlation between posterior vitreous detachment and postoperative visual acuity recovery. Axial length, corneal astigmatism and macular disease were correlated with visual acuity recovery. Axis length, corneal astigmatism and macular disease were the risk factors affecting the outcome of surgery.

CONCLUSION: Phacoemulsification can effectively improve the visual acuity of patients with high myopia complicated with cataract. Macular lesion, excessive axial length and corneal astigmatism are the three main factors affecting the poor outcome after operation.

AIM: To investigate the importance between several edge points repair through enophthalmos study after orbital wall fracture repair surgery.

METHODS: The date of 23 eyes of 23 cases with medial-inferior orbital wall fracture with enophthalmos were collected and analyzed retrospectively. All cases underwent orbital fracture surgery, the follow-up time was 3mo. After surgery, the degree of enophthalmos was within 2mm. The repair of bony buttress, exterior margin of inferior orbital wall, and superior margin of medial orbital wall after surgery were analyzed.

RESULTS: In these well-recoverd patients, repair rate between bony buttress(100%), exterior margin of inferior orbital wall(43%)and superior margin of medial orbital wall(83%)were different.

CONCLUSION: The repair of bony buttress was most important for surgery. Analysis between surgical efficacy and edge points repair is valuable for surgical operation and risk control.

Whiplash-associated disorders of the cervical vertebrae develop unevenly after the injury, and the recovery process is complicated and non-linear. It is important to identify factors related with poor recovery in the early stages, to select proper treatment and rehabilitation. However, there are too many prognostic factors related to the clinical outcome, while the Clinical Prediction Rules (CPR) are used to help decision-making. Now there are only Whiplash CPR, Assessment Tool for Whiplash Injuries Developed from A Prospective Observational Study and CPR-like Tool undergone the clinical trials.

Objective To investigate the immediate effects of repetitive peripheral magnetic stimulation (rPMS) on upper limb spasticity and motor function for stroke patients. Methods From May to October, 2018, 14 stroke patients accepted rPMS once. They were assessed with modified Ashworth Scale (MAS) and modified Tardieu Scale (MTS) of Upper limb, and Fugl-Meyer Assessment-Upper Extremities (FMA-UE) before and after stimulation. Results The score of FMA-UE impoved (t = -3.166, P < 0.01) after rPMS, as well as those of MAS of shoulder adductors, shoulder extensors, elbow flexors, elbow extensors and wrist flexors (P < 0.05), and R1 of shoulder adductors, shoulder extensors, elbow flexors, elbow extensors and wrist flexors in MTS (P < 0.05), R2 of shoulder adductors and shoulder extensors (P < 0.05). Conclusion rPMS may immediately effect spasticity and motor function on upper limbs in stroke patients.