Following the core outcome set standards for development(COS-STAD), this study aims to construct core outcome set(COS) for clinical research on traditional Chinese medicine(TCM) treatment of simple obesity. Firstly, a comprehensive review was conducted on the randomized controlled trial(RCT) and systematic review(SR) about TCM treatment of simple obesity that were published in Chinese and English databases to collect reported outcomes. Additional outcomes were obtained through semi-structured interviews with patients and open-ended questionnaire surveys for clinicians. All the collected outcomes were then merged and organized as an initial outcome pool, and then a preliminary list of outcomes was formed after discussion by the working group. Subsequently, two rounds of Delphi surveys were conducted with clinicians, methodology experts, and patients to score the importance of outcomes in the list. Finally, a consensus meeting was held to establish the COS for clinical research on TCM treatment of simple obesity. A total of 221 RCTs and 12 SRs were included, and after integration of supplementary outcomes, an initial outcome pool of 141 outcomes were formed. Following discussions in the steering advisory group meeting, a preliminary list of 33 outcomes was finalized, encompassing 9 domains. Through two rounds of Delphi surveys and a consensus meeting, the final COS for clinical research on TCM treatment of simple obesity was determined to include 8 outcomes: TCM symptom scores, body mass index(BMI), waist-hip ratio, waist circumference, visceral fat index, body fat rate, quality of life, and safety, which were classified into 4 domains: TCM-related outcomes, anthropometric measurements, quality of life, and safety. This study has preliminarily established a COS for clinical research on TCM treatment of simple obesity. It helps reduce the heterogeneity in the selection and reporting of outcomes in similar clinical studies, thereby improving the comparability of research results and the feasibility of meta-analysis and providing higher-level evidence support for clinical practice.
Humans ; Obesity/therapy* ; Medicine, Chinese Traditional ; Randomized Controlled Trials as Topic ; Treatment Outcome ; Drugs, Chinese Herbal/therapeutic use*

OBJECTIVE: To observe the clinical efficacy of 3D printing spinal external fixator combined with McKenzie therapy for patients with lumbar dics herniation (LDH). METHODS: Sixty patients with LDH between January 2022 and January 2023 were enrolled. Among them, 30 patients were given McKinsey training. According to different treatment methods, all patients were divided into McKenzie group and McKenzie + 3D printing group, 30 patients in each group. The McKenzie group provided McKenzie therapy. The McKenzie + 3D printing group were treated with 3D printing spinal external fixation brace on the basis of McKenzie therapy. Patients in both groups were between 25 and 60 years of age and had their first illness. In the McKenzie group, there were 19 males and 11 females, with an average age of (48.57±5.86) years old, and the disease duration was (7.03 ±2.39) months. The McKenzie + 3D printing group, there were 21 males and 9 females, with an average age of (48.80±5.92) years old, and the disease duration was(7.30±2.56) months. Pain was evaluated using the visual analogue scale (VAS), and lumbar spine function was assessed using the Oswestry disability index (ODI) and the Japanese Orthopaedic Association (JOA) score. VAS, ODI and JOA scores were compared between two groups before treatment and at 1, 3, 6, 9 and 12 months after treatment. RESULTS: All patients were followed up for 12 months. The VAS for the McKenzie combined with 3D printing group before treatment and at 1, 3, 6, 9, and 12 months post-treatment were(6.533±0.860), (5.133±1.008), (3.933±0.868), (2.900±0.759), (2.067±0.640), (1.433±0.504), respectively. In the McKenzie group, the corresponding scores were (6.467±0.860), (5.067±1.048), (4.600±0.968), (3.533±1.008), (2.567±0.728), (1.967±0.809), respectively. The ODI of the McKenzie group before treatment and at 1, 3, 6, 9, and 12 months post-treatment were (41.033±6.810)%, (37.933±6.209)%, (35.467±6.962)%, (27.567±10.081)%, (20.800±7.531)%, (13.533±5.158)%, respectively. For the McKenzie combined with 3D printing group, the corresponding ODI were(38.033±5.605)%, (33.000±6.192)%, (28.767±7.045)%, (22.200±5.517)%, (17.700±4.836)%, (11.900±2.771)%, respectively. The JOA scores of the McKenzie combined with 3D printing group before treatment and at 1, 3, 6, 9, and 12 months post-treatment were(8.900±2.074), (13.133±2.330), (15.700±3.583), (20.400±3.480), (22.267±3.084), (24.833±2.640), respectively. In the McKenzie group, the corresponding scores were(9.200±2.091), (12.267±2.406), (15.333±3.198), (18.467±2.240), (20.133±2.751), (22.467±2.849), respectively. Before the initiation of treatment, no statistically significant differences were observed in the VAS, ODI, and JOA scores between two groups (P>0.05). At 3, 6, 9, and 12 months post-treatment, the VAS in the McKenzie combined with 3D printing group was significantly lower than that in the McKenzie group, and the difference was statistically significant (P<0.05). The comparison of ODI between two groups at 1, 3, 6, 9, and 12 months post-treatment revealed statistically significant differences (P<0.05). At 6, 9, and 12 months post-treatment, the JOA score in the McKenzie combined with 3D printing group was significantly higher than that in the McKenzie-only group, and the difference was statistically significant (P<0.05). CONCLUSION The combination of 3D printed functional spinal external fixation brace with McKenzie therapy can significantly improve and maintain lumbar function in patients with LDH.
Humans ; Male ; Female ; Middle Aged ; Printing, Three-Dimensional ; Intervertebral Disc Displacement/surgery* ; External Fixators ; Lumbar Vertebrae/surgery* ; Adult ; Braces ; Treatment Outcome

OBJECTIVE: To investigate the effect of TBL1XR1 mutation on cell biological characteristics of diffuse large B-cell lymphoma (DLBCL). METHODS: The TBL1XR1 overexpression vector was constructed and DNA sequencing was performed to determine the mutation status. The effect of TBL1XR1 mutation on apoptosis of DLBCL cell line was detected by flow cytometry and TUNEL fluorescence assay; CCK-8 assay was used to detect the effect of TBL1XR1 mutation on cell proliferation; Transwell assay was used to detect the effect of TBL1XR1 mutation on cell migration and invasion; Western blot was used to detect the effect of TBL1XR1 mutation on the expression level of epithelial-mesenchymal transition (EMT) related proteins. RESULTS: The TBL1XR1 overexpression plasmid was successfully constructed. The in vitro experimental results showed that TBL1XR1 mutation had no significant effect on apoptosis of DLBCL cells. Compared with the control group, TBL1XR1 mutation enhanced cell proliferation, migration and invasion of DLBCL cells. TBL1XR1 gene mutation significantly increased the expression of N-cadherin protein, while the expression of E-cadherin protein decreased. CONCLUSION TBL1XR1 mutation plays a role in promoting tumor cell proliferation, migration and invasion in DLBCL. TBL1XR1 could be considered as a potential target for DLBCL therapy in future research.
Humans ; Lymphoma, Large B-Cell, Diffuse/pathology* ; Cell Proliferation ; Mutation ; Receptors, Cytoplasmic and Nuclear/genetics* ; Apoptosis ; Cell Line, Tumor ; Epithelial-Mesenchymal Transition ; Cell Movement ; Repressor Proteins/genetics* ; Nuclear Proteins/genetics* ; Cadherins/metabolism*

OBJECTIVE: This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF. METHODS: Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus. RESULTS: LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response. CONCLUSION The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans ; China/epidemiology* ; Genome, Viral ; Lassa Fever/virology* ; Lassa virus/classification* ; Molecular Epidemiology ; Phylogeny

Background Water serves as an indispensable resource for human survival and constitutes one of the primary means through which humans are exposed to environmental chemicals. Consequently, the safety of drinking water is critical to safeguarding public health. Objective To analyze the levels of the 10 metal/metalloid indicators [Al, Fe, Mn, Cu, Zn, As, Cd, Cr(VI), Pb, and Hg] in drinking water from a region of the Fuchun River Basin, and to evaluate the health risks in drinking water through oral ingestion. Methods In accordance with the national Standard Examination Method for Drinking Water – Part 2: Collection and Preservation of Water Samples (GB/T 5750-2006 and GB/T 5750-2023), a total of 2016 drinking water samples were collected from urban and rural water supply systems in a region of the Fuchun Basin from 2017 to 2024. Two batches of water samples were collected annually during the dry and wet seasons, with each batch comprising 72 samples from the urban water supply system and 54 samples from the rural water supply system. These samples were analyzed according to the Standard Examination Method for Drinking Water – Part 6: Metal and Metalloid Indicators (GB/T 5750-2006 and GB/T 5750-2023) and the results were compared with the limits specified in the Standards for Drinking Water Quality (GB 5749-2022). Health risks were evaluated using the U.S. Environmental Protection Agency (EPA) health risk assessment model. Results All tested metal/metalloid elements in the drinking water samples of the area met the national standards. The results of risk assessment showed that the non-carcinogenic risks associated with oral intake of drinking water, ranked from highest to lowest, were as follows: As>Cr(VI)>Pb>Cd>Hg>Mn>Cu>Zn>Fe>Al, with values of 4.55×10⁻², 2.79×10⁻², 2.06×10⁻², 1.20×10⁻², 4.95×10⁻³, 4.58×10⁻³, 2.85×10⁻³, 1.95×10⁻³, 1.52×10⁻³, and 9.21×10⁻⁴, respectively. The non-carcinogenic risk of each indicator was less than 1, which suggested no potential risk to population health. The carcinogenic risks ranked as Cr(VI)>As>Cd>Pb, with values of 4.18×10⁻⁵, 2.05×10⁻⁵, 3.85×10⁻⁶, and 2.45×10⁻⁷, respectively. The carcinogenic risks of Cr(VI), As, and Cd were between 10⁻⁶ and 10⁻⁴, which suggested an acceptable carcinogenic risk, while the carcinogenic risk of Pb was relatively negligible. Children's total non-carcinogenic/total carcinogenic risks were comparable to those of adult males, both higher than those of adult females. Additionally, rural areas exhibited higher non-carcinogenic/carcinogenic risks for Cr(VI), while those risks for As and Pb were lower than those in urban water samples, and those risks for Cd were comparable between the two. Conclusion The concentrations of the 10 metal/metalloid indicators in drinking water from the studied region in the Fuchun River Basin comply with the national standards from 2017 to 2024. There is a certain carcinogenic risk associated with oral intake of drinking water, but it is still within the acceptable range. In terms of non-carcinogenic risk, no potential threat to population health is anticipated.

Objective To evaluate the predictors of biochemical recurrence after laparoscopic radical prostatectomy.Methods The study cohort consisted of 416 consecutive prostatecancer patients who underwent radical prostatectomy in Zhongshan Hospital,Fudan University between Jan 2016 and Jun 2018.No patient received adjuvant therapy until documented biochemical recurrence.Biochemical recurrence-free survival(BCRFS)was estimated using the Kaplan-Meier method.Univariable and multivariable Cox proportional hazards regression models were utilized to determine variables predictive of biochemical recurrence.Results The median follow-up period was 174 weeks(inter quartile range 133-209 weeks).The overall biochemical recurrence rate was 21.39%(88/416).The time to biochemical recurrence was(51.11±47.71)weeks.Until the end of follow-up,the biochemical recurrence rates were 10%(1/10),6.12%(3/49),16.41%(43/262)and 43.16%(41/95)for low-risk,medium-risk,high-risk and locally advanced prostate cancer,respectively.On multivariable analysis,tumor invasion of the seminal vesicles(HR:2.119,95%CI:1.154-3.891,P=0.016);Seminal vesicle invasion(HR:1.824,95%CI:1.034-3.220,P=0.038),Gleason score≥8(HR:2.746,95%CI:1.268-5.943,P=0.010),prostate-specific antigen(PSA)=10-20 ng/mL(HR:4.240,95%CI:2.550-7.050,P<0.001);PSA>20 ng/mL(HR:6.341,95%CI:3.296-12.202,P<0.001)were the main predictors of biochemical recurrence.Conclusion Laparoscopic radical prostatectomy provides effective control of biochemical recurrence during the mid-term follow-up period.Tumor invasion of the seminal vesicles,seminal vesicle invasion,GS≥8,PSA=10-20 ng/mL,PSA>20 ng/mL were important predictors of biochemical recurrence after radical prostatectomy.

The abuse and irrational use of antibiotics in human veterinary medicine has seriously endangered the ecological environment and human health.In this study,a fully automatic solid-phase disk extraction-stable isotope dilution-ultra-high performance liquid chromatography-mass spectrometry method for determination of 17 kinds of sulfonamides antibiotics(SAs)in water was established,which was then applied to determination of SAs in real samples including tap water,river water and seawater,respectively.Meanwhile,the residual characteristics were discussed and the ecological risks were assessed.With this method,1.0 L water sample with 0.5 g/L Na2EDTA(pH=3)was extracted and enriched by 3M SDB-XC disk,and eluted by 10 mL of mixture of methanol and acetone(1:1,V/V),and the pretreatment time of the sample was about 60 min per six samples.Under the optimized conditions,the linearity of the method for detection of 17 kinds of SAs ranged from 0.05 to 100 μg/L,with correlation coefficients(R2)>0.999.In addition,the detection limits(S/N=3)were as low as 0.012-0.052 ng/L,and the recoveries were in the range of 76%-110%,with relative standard deviations of 0.5%-9.6%(n=5).The results showed that no SAs was detected in tap water,while 3 and 9 kinds of SAs were detected in river water of Zhoushan,and seawater of Wenzhou Sea area in Zhejiang province,respectively.The total concentrations of the detected SAs were 0.875-21.826 ng/L and 1.024-20.768 ng/L in river water and seawater,respectively,and among which,sulfamethoxazole(SMX)was the predominant compound in river water and seawater,accounting for 81%and 74%of the total SAs,respectively.The ecological risk assessment showed that the risk quotients of the detected SAs in the river water and seawater in the study area for the three kinds of trophic organisms(algae,Daphnia and fish)were far less than 0.01,meaning that the ecological risk was low.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.