Objective:To investigate the clinical characteristics of patients with multiple myeloma(MM)complicated by bone lesions and the risk factors associated with bone lesions.Methods:The clinical data of 294 newly diagnosed MM patients in Gansu Provincial Hospital from January 2017 to June 2021 were retrospectively analyzed.The patients were divided into the bone lesion group(154 cases)and the non-bone lesions group(140 cases)based on the presence of absence of bone lesions at diagnosis.The general data and laboratory parameters were compared between the two groups.The risk factors for bone lesions in MM patients were analyzed by logistic regression analysis,and the characteristic(ROC)curves were plotted to assess the predictive value of each risk factor for the occurrence of bone lesions in MM patients.Results:Compared to the non-bone lesion group,the bone lesion group had significantly higher serum calcium levels and significantly greater proportions of patients with Durie-Salmon(DS)stage Ⅲ,and bone pain(all P＜0.05).Logistic regression analysis showed that elevated serum calcium(OR=5.135,95％CI:1.931-13.653,P=0.001),DS stage Ⅲ(OR=1.841,95％CI:1.019-3.328,P=0.043),and bone pain(OR=8.208,95％CI:4.761-14.151,P＜0.001)were independent risk factors for bone lesions in MM patients.ROC curve analysis showed that serum calcium(AUC=0.619,95％CI:0.555-0.683,P＜0.001)and bone pain(AUC=0.743,95％CI:0.692-0.793,P＜0.001)had predictive value for bone lesions in MM patients.Conclusion:MM patients have a high incidence of bone lesions,and active monitoring and management of risk factors may improve treatment outcomes and prognosis.

Objective To investigate the value of ultrasound for differentiating pancreatoblastoma(PB)and solid pseudopapillary tumor of pancreas(SPT)in children.Methods Data of 7 children with PB(PB group)and 22 with SPT(SPT group)were retrospectively analyzed.The clinical data and lesion's ultrasonic manifestations were compared between groups.Receiver operating characteristic(ROC)curves of clinical and ultrasound related parameters being significantly different between groups showed by univariate analysis were draw,and the area under the curve(AUC)were calculated to evaluate their efficacy for differentiating PB and SPT.Ultrasound parameters with P＜0.05 in univariate analysis were incorporated into binary logistic analysis,and a ultrasound regression model was constructed to distinguish PB and SPT,and its diagnostic efficacy was evaluated.Results Significant differences of children'age,gender,serum alpha fetoprotein level,and the shape,maximum diameter,texture,calcification and local invasion of lesions were found between groups(all P＜0.05).AUC of single serum alpha fetoprotein level,the shape,maximum diameter,texture,calcification and local invasion of lesion for differentiating PB and SPT was 1.000,0.766,0.854,0.776,0.789 and 0.714,respectively(all P＜0.05).The shape(OR=8.704,P=0.075)and maximum diameter of lesions(OR=1.695,P=0.042)showed with ultrasound were both important differentiating factors for PB and SPT,and AUC of the ultrasound regression model constructed based on them was 0.886.Conclusion Ultrasound could effectively differentiate PB and SPT in children.

Objective:To investigate the clinical characteristics of patients with multiple myeloma(MM)complicated by bone lesions and the risk factors associated with bone lesions.Methods:The clinical data of 294 newly diagnosed MM patients in Gansu Provincial Hospital from January 2017 to June 2021 were retrospectively analyzed.The patients were divided into the bone lesion group(154 cases)and the non-bone lesions group(140 cases)based on the presence of absence of bone lesions at diagnosis.The general data and laboratory parameters were compared between the two groups.The risk factors for bone lesions in MM patients were analyzed by logistic regression analysis,and the characteristic(ROC)curves were plotted to assess the predictive value of each risk factor for the occurrence of bone lesions in MM patients.Results:Compared to the non-bone lesion group,the bone lesion group had significantly higher serum calcium levels and significantly greater proportions of patients with Durie-Salmon(DS)stage Ⅲ,and bone pain(all P＜0.05).Logistic regression analysis showed that elevated serum calcium(OR=5.135,95％CI:1.931-13.653,P=0.001),DS stage Ⅲ(OR=1.841,95％CI:1.019-3.328,P=0.043),and bone pain(OR=8.208,95％CI:4.761-14.151,P＜0.001)were independent risk factors for bone lesions in MM patients.ROC curve analysis showed that serum calcium(AUC=0.619,95％CI:0.555-0.683,P＜0.001)and bone pain(AUC=0.743,95％CI:0.692-0.793,P＜0.001)had predictive value for bone lesions in MM patients.Conclusion:MM patients have a high incidence of bone lesions,and active monitoring and management of risk factors may improve treatment outcomes and prognosis.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

In recent years,the incidence of heat-related diseases has been on a steady upward trend,which is closely associated with environmental factors such as climate change and air pollution.Exposure to a hot environment and/or strenuous physical activities can progress to heat stroke(HS),an acute disease that can lead to death.Current research indicates that gut injury occupies the most crucial initiating position in the pathophysiological changes and pathogenesis of HS.Probiotics can reduce the incidence and mortality of HS through maintaining the health of the gut microbiota,regulating the intestinal immune system,and other effects.In addition,the gut microbiota can construct axis systems to interact with multiple organs such as the liver,lungs,and brain,which is of great significance for alleviating the damage to distant organs caused by HS.This paper reviews the regulation of the gut microbiota by probiotics to improve the intestinal heat tolerance ability and barrier function,aiming to provide references for the prevention and treatment of heat stroke in clinical practice.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

BACKGROUND: Modern acupuncture anesthesia is a combination of Chinese and Western medicine that integrates the theories of acupuncture with anesthesia. However, some clinical studies of acupuncture anesthesia lack specific descriptions of randomization, allocation concealment, and blinding processes, with subsequent systematic reviews indicating a risk of bias. OBJECTIVE: Clinical trial registration is essential for the enhancement of the quality of clinical trials. This study aims to summarize the status of clinical trial registrations for acupuncture anesthesia listed on the World Health Organization International Clinical Trials Registry Platform (ICTRP). SEARCH STRATEGY: We searched the ICTRP for clinical trials related to acupuncture anesthesia registered between January 1, 2001 and May 31, 2023. Additionally, related publications were retrieved from PubMed, Cochrane Library, Embase, China National Knowledge Infrastructure, China Science and Technology Journal Database, and Wanfang Data. Registrations and publications were analyzed for consistency in trial design characteristics. INCLUSION CRITERIA: Clinical trials that utilized one of several acupuncture-related therapies in combination with pharmacological anesthesia during the perioperative period were eligible for this review. DATA EXTRACTION AND ANALYSIS: Data extracted from articles included type of surgical procedure, perioperative symptoms, study methodology, type of intervention, trial recruitment information, and publication information related to clinical enrollment. RESULTS: A total of 166 trials related to acupuncture anesthesia from 21 countries were included in the analysis. The commonly reported symptoms in the included studies were postoperative nausea and vomiting (19.9%) and postoperative pain (13.3%). The concordance between the publications and the trial protocols in the clinical registry records was poor, with only 31.7% of the studies being fully compatible. Inconsistency rates were high for sample size (39.0%, 16/41), blinding (36.6%, 15/41), and secondary outcome indicators (24.4%, 10/41). CONCLUSION The volume of acupuncture anesthesia clinical trials registered in international trial registries over the last 20 years is low, with insufficient disclosure of results. Postoperative nausea and vomiting as well as postoperative pain, are the most investigated for acupuncture intervention. Please cite this article as: Li Y, Liu YN, Guo Z, Gu ME, Wang WJ, Zhu Y, Zhuang XJ, Chen LM, Zhou J, Li J. Current situation of clinical trial registration in acupuncture anesthesia: A scoping review. J Integr Med. 2025; 23(3): 256-263.
Humans ; Acupuncture Analgesia ; Acupuncture Therapy ; Anesthesia ; Clinical Trials as Topic ; Registries

OBJECTIVE: To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease. METHODS: This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used. RESULTS: During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity. CONCLUSION Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Exercise ; Male ; Female ; Middle Aged ; Prospective Studies ; Aged ; Genetic Predisposition to Disease ; Risk Factors ; United Kingdom/epidemiology* ; Incidence ; Adult

Objective To analyze the cellular and histopathological characteristics of underdiagnosed thyroid nodules of Chinese thyroid imaging reporting and data system(C-TIRADS) categories 3 and 4a,thus improving the understanding of these lesions. Methods The data of ultrasound and fine needle aspiration cytology were collected from 683 nodules diagnosed based on pathological evidence in 549 patients undergoing thyroid surgery.The cellular and histopathological characteristics of C-TIRADS 3 and 4a nodules were analyzed. Results Two hundred and sixty-eight nodules were classified as C-TIRADS category 3,including 236 benign nodules,12 low-risk ones,and 20 (7.46%) malignant ones.Two hundred and twenty-one nodules were classified as C-TIRADS category 4a,including 133 benign nodules,7 low-risk ones,and 81 (36.65%) malignant ones.The malignancy rates differed between C-TIRADS 3 and 4a nodules (χ²=58.93,P<0.001),and both were higher than the recommended malignancy rate in the guidelines for malignancy risk stratification of thyroid nodules (C-TIRADS) (both P<0.001).According to the pathological evidence,the underdiagnosed C-TIRADS 3/4a nodules were mainly papillary thyroid carcinoma,especially in patients with Hashimoto thyroiditis.There was not a consistent one-to-one match between each ultrasound result and each cytological classification of low-risk thyroid nodules.Conclusions When the malignant features in preoprative ultrasound imaging are atypical or absent,papillary thyroid carcinoma (especially with Hashimoto thyroiditis),follicular carcinoma,and medullary carcinoma are likely to be underdiagnosed as C-TIRADS 3 or 4a nodules.Therefore,efforts should be made to fully understand the cellular and pathological characteristics of these lesions.
Humans ; Thyroid Nodule/diagnostic imaging* ; Female ; Male ; Middle Aged ; Adult ; Ultrasonography ; Biopsy, Fine-Needle ; Aged ; Young Adult ; Thyroid Neoplasms/diagnostic imaging* ; Adolescent