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.

Objective:We study the prognostic value of TNM stage and L3-skeletal muscle mass index in overall survival(OS)in elderly patients with colorectal cancer after surgery.Furthermore, investigate the prognostic value of combined scoring system(TNM-SMI score)in patients with colorectal cancer.Methods:From January 1, 2018 to January 31, 2019, the clinical data of elderly patients who were diagnosed with colorectal cancer for the first time in Longyan First Hospital, Fujian Medical University were retrospectively analyzed.The baseline data were compared in patients with different TNM stage and L3SMI.The relevant factors that might affect the prognosis of the patients were analyzed to determine the independent risk factors in cox regression analyses.Survival curves were plotted by using the Kaplan-Meier method, and Log-rank test was used to compare Overall Survival.Predictive efficacy was compared by plotting (ROC)curve and calculating the area under the curve(AUC).Results:A total of 128 eligible patients aged 65-88(73.96±6.20)years were enrolled.Among them, 82 were male.Univariate and multifactorial cox regression analyses showed that TNM stage( HR=3.944, 95% CI: 1.519-10.237, P<0.05)and L3SMI( HR=3.194, 95% CI: 1.222-8.349, P<0.05)were the independent risk factors for OS in elderly colorectal cancer patients; Survival curves plotted by Kaplan-Meier method showed that the 5-year survival rate(OS rate)of patients in TNM(Ⅲ and Ⅳ)group was lower than in TNM(Ⅰ and Ⅱ)group(58.8% vs.88.9%, P<0.001), and the 5-year survival rate(OS rate)of patients in low L3SMI group was lower than in high L3SMI group(51.0% vs.88.3%, P<0.001); Elderly colorectal patients were risk stratified by TNM-SMI score, the patients with higher score had worse 5-year OS rate; The AUC of L3SMI, TNM stage, and TNM-SMI score are 0.729, 0.695, and 0.800. Conclusions:The TNM stage and L3SMI are independent risk factors of OS after colorectal cancer surgery; TNM-SMI score, which combines TNM stage and L3SMI, can predict prognosis more efficiency compare to single-factor.The higher TNM-SMI score had the worse prognosis; TNM stage in combination with L3SMI improves the efficiency prediction of OS after colorectal cancer surgery.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

[This corrects the article DOI: 10.1016/j.apsb.2022.03.002.].

Objective To investigate the clinical efficacy of Shuyao Huoxue Tongluo Decoction combined with meridian acupoint massage in treating lumbar disc herniation(LDH)patients with qi-stagnation and blood-stasis syndrome,and to analyze its effects on serological indicators.Methods A total of 120 LDH patients with qi-stagnation and blood-stasis syndrome admitted to Huizhou Hospital of Guangzhou University of Chinese Medicine from December 2023 to December 2024 were enrolled.The patients were randomly divided into control group and study group using a random number table,with 60 cases in each group.The control group received conventional treatment(including lumbar traction and drug therapy)combined with meridian acupoint massage,while the study group received additional Shuyao Huoxue Tongluo Decoction based on the treatment for the control group.Before and after treatment,the scores of traditional Chinese Medicine(TCM)syndrome,Visual Analogue Scale(VAS)scores for pain,Japanese Orthopedic Association(JOA)scores for lumbar function,Oswestry Disability Index(ODI)scores,and serum levels of tumor necrosis factor α(TNF-α)and interleukin 6(IL-6)in the two groups were compared.After treatment,the clinical efficacy was evaluated between groups.Results(1)After 20 days of treatment,the total effective rate was 95.00%(57/60)in the study group versus 81.67%(49/60)in the control group(tested by chi-square test,P＜0.05),demonstrating significantly superior therapeutic effects in the study group.(2)After treatment,both groups showed significant reduction in TCM syndrome scores(P＜0.01),and the study group exhibited markedly decrease compared to the control group(P＜0.01).(3)After treatment,the VAS scores for pain in both groups were significantly decreased compared to those before treatment(P＜0.01),and the study group exhibited obvious decrease of the scores than the control group(P＜0.01).(4)After treatment,JOA scores for lumbar function in both groups were increased(P＜0.05),while Oswestry Disability Index(ODI)scores were decreased(P＜0.05),compared to those before treatment,and the study group demonstrated more significant improvements in both JOA score elevation and ODI score reduction(P＜0.05).(5)For serum inflammatory factors,interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)levels in both groups were significantly reduced(P＜0.05)after treatment,and the study group showed more pronounced decrease in both markers(P＜0.05).Conclusion Compared with meridian acupoint massage alone,the combined therapy of Shuyao Huoxue Tongluo Decoction and meridian acupoint massage is effective on significantly alleviating clinical symptoms,reducing serum inflammatory factors,and enhancing overall therapeutic outcomes in LDH patients with qi-stagnation and blood-stasis syndrome.

Objective To investigate the relationship between biological aging and the rate of cognitive decline in middle-aged and elderly populations.Methods Longitudinal tracking data of cognitive function were obtained from the China Health and Retirement Longitudinal Study(CHARLS).We employed the Klemera and Doubal method(KDM)to estimate biological age(BA),and calculate the biological aging index(BAI)and biological aging type(BAT).A multivariate linear regression model was employed to analyze the relationships between baseline BAI,BAT,and cognitive function scores.Based on the baseline analysis,a mixed-effects model was used to examine the longitudinal associations between baseline BAI,BAT,and cognitive function during follow-up.Results A total of 5 897 participants were included in the study.BAI was found to be negatively associated with baseline cognitive function scores,with the partial regression coefficient(β)(95％CI)being-0.185(—0.231,—0.139)(P＜0.001).Compared with the lagged aging group,the premature aging group had lower cognitive function scores(β[95％CI]:—0.741[—0.966,—0.516]).For age and sex,for each additional year of baseline BAI,cognitive function scores declined by an average of 0.012(95％CI:—0.019,—0.005)points per year after adjusting for age and sex,and declined by 0.011(95％CI:—0.018,—0.004)points per year after adjusting for other covariates.Compared with participants with lagged aging,those with premature aging experienced,on average,an additional decline of 0.042(95％CI:—0.075,0.009)points per year in cognitive function scores after adjusting for age and sex alone,and by 0.039(95％CI:—0.072,—0.007)points per year after adjusting for other covariates.Conclusion Biological aging affects the rate of cognitive decline in middle-aged and elderly populations.A higher BAI is associated with a faster decline in cognitive function.Compared with those with lagged aging,individuals with premature aging exhibit a more rapid rate of cognitive decline.

Objective To investigate the clinical efficacy of recombinant human granulocyte-macrophage colony-stimulating factor(rhGM-CSF)combined with bifidobacterium in the treatment of oral mucositis after chemotherapy.Methods A total of 60 post-chemotherapy patients with oral mucositis admitted to Ganzhou Cancer Hospital of Jiangxi Province from January 2023 to December 2024 were selected as subjects,the patients were divided into observation group(n=30)and control group(n=30)by using a randomized digital table method.The control group received rhGM-CSF mouthwash treatment,while the observation group was additionally administered bifidobacterium-lactobacillus triple live capsules orally.Clinical efficacy,symptom scores,inflammatory factor levels,oral microbiota indicators,and treatment safety were evaluated after 2 weeks of treatment.Results After treatment,the total effective rate in observation group was significantly higher than that in control group(P＜0.05).Post-treatment evaluations showed that patients in observation group exhibited lower scores for edema,congestion,and ulceration,along with reduced pain visual analog scores and decreased levels of inflammatory markers including Toll-like receptor 4,lectin-3,and interleukin-8,the difference were statistically significant(P＜0.05).After treatment,the oral microecological flora of patients in observation group,including lactic acid bacteria and bifidobacterium,were higher than that of control group,while porphyromonas gingivalis and fusetella were lower than that of control group,the difference were statistically significant(P＜0.05).Conclusion The clinical effect of rhGM-CSF combined with bifidobacterium in the treatment of oral mucositis after chemotherapy was significant,which could reduce various symptoms of patients,inhibit inflammatory factors,improve oral microecology,and have good safety.

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.

Objective To investigate the clinical efficacy of recombinant human granulocyte-macrophage colony-stimulating factor(rhGM-CSF)combined with bifidobacterium in the treatment of oral mucositis after chemotherapy.Methods A total of 60 post-chemotherapy patients with oral mucositis admitted to Ganzhou Cancer Hospital of Jiangxi Province from January 2023 to December 2024 were selected as subjects,the patients were divided into observation group(n=30)and control group(n=30)by using a randomized digital table method.The control group received rhGM-CSF mouthwash treatment,while the observation group was additionally administered bifidobacterium-lactobacillus triple live capsules orally.Clinical efficacy,symptom scores,inflammatory factor levels,oral microbiota indicators,and treatment safety were evaluated after 2 weeks of treatment.Results After treatment,the total effective rate in observation group was significantly higher than that in control group(P＜0.05).Post-treatment evaluations showed that patients in observation group exhibited lower scores for edema,congestion,and ulceration,along with reduced pain visual analog scores and decreased levels of inflammatory markers including Toll-like receptor 4,lectin-3,and interleukin-8,the difference were statistically significant(P＜0.05).After treatment,the oral microecological flora of patients in observation group,including lactic acid bacteria and bifidobacterium,were higher than that of control group,while porphyromonas gingivalis and fusetella were lower than that of control group,the difference were statistically significant(P＜0.05).Conclusion The clinical effect of rhGM-CSF combined with bifidobacterium in the treatment of oral mucositis after chemotherapy was significant,which could reduce various symptoms of patients,inhibit inflammatory factors,improve oral microecology,and have good safety.