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.

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 value of wrist MRI in bone age estimation for male adoles-cents in Shanghai,Zhejiang and Jiangsu.Methods A total of 124 Han male adolescents aged 6.0 to 18.0 years from Shanghai,Zhejiang and Jiangsu were selected as subjects.Their weight and height were measured,and T1WI and T2WI sequences of the wrist were scanned.The distal ends of the ra-dius and ulna,and the first to five metacarpal epiphyses and corresponding metaphyses were selected as observational indexes after MRI images of the wrist were obtained.The development of each index was classified(0-2 grades)by a deputy senior imaging expert,then the maximum width of each in-dex was measured by another deputy senior expert.Height,weight,classification and maximum width of indexes were used as input variables,and age was used as the target variable.Support vector ma-chine,random forest,current reality tree,and linear regression models were established to estimate the bone age,and the model with the highest accuracy was selected.Results The height,weight,classifica-tion of wrist bone epiphysis development,maximum width of each bone metaphysis and epiphysis were all correlated with age(P<0.05).The accuracies of the support vector machine were the highest when the differences between bone age and actual chronological age were within 1.0 and 1.5 years(88.7%and 96.0%,respectively).Conclusion It is feasible to estimate bone age by using MRI images.Quantifying the maximum width of the epiphysis and corresponding metaphysis of bone and combining it with MRI image classification can effectively reduce the estimation error.

Objective To establish a nomogram model which is used for predicting lower extremity deep venous thrombosis(DVT)after interventional treatment of lower extremity arteriosclerosis obliterans(LEASO),and to make an external validation of the model.Methods A total of 434 LEASO patients receiving intraluminal therapy between January 2020 and December 2022,who were retrieved from the database of patients with limb ischemia(JCLIMB)established by the Japanese Society of Vascular Surgery,were collected and used as modeling group,and other 60 LEASO patients,who received interventional treatment at the Hefei Binhu Hospital of China between January 2020 and May 2023,were collected and used as validation group.Through the electronic medical record system,the clinical data of the patients were obtained,which included gender,age,coexisting diabetes mellitus,coexisting hypertension,coexisting coronary heart disease,body mass index(BMI),Fontaine stage,D-dimer,prothrombin time(PT),activated partial thromboplastin(APTT),platelet lymphocyte ratio(PLR),and neutrophil-to-lymphocyte ratio(NLR).The nomogram model was established by using R software,and the prediction model was evaluated by the calibration curve,the decision curve analysis(DCA)and the receiver operating characteristic(ROC)curve.Results The differences in BMI,Fontaine stage,D-dimer,PLR and NLR between DVT patients and non-DVT patients were statistically significant(P＜0.05).Multivariate logistic regression analysis showed that BMI,Fontaine stage,D-dimer,PLR and NLR were the independent influencing factors for DVT in LEASO patients(P＜0.05).The nomogram model was established based on the results of the logistic regression analysis.The calibration curve analysis showed that the predicted values of the model was basically consistent with the actual values,indicating that this nomogram model carried a good accuracy.Taking the net income as the ordinate and the threshold as the abscissa,the none line represented that DVT would not occur in all LEASO patients.The nomogram model represented the actual curve of DVT,and the threshold range was 0.09-1.00,indicating that using this model for decision-making had good clinical benefits,suggesting the clinical utility of this model.ROC analysis revealed that using this nomogram model,which was established in this study,to predict the area under the DVT curve(AUC)of LEASO patients,the AUC in the modeling group and in the validation group was 0.912 and 0.834 respectively,the sensitivity was 96.50 and 99.20 respectively,and the specificity was 76.60 and 66.70 respectively.Conclusion The prediction model of DVT in LEASO patients that is established on the BMI,Fontaine stage,D-dimer,PLR and NLR has a good predictive value for the occurrence of DVT,therefore,this model is worth popularizing in clinical practice.

The steroid constituents in the 75% ethanol extract of Cyanotis arachnoidea and their anti-HSV-1 activities in vitro were investigated in this study. The ethyl acetate fraction of the extract was isolated and purified using silica gel, ODS, Sephadex LH-20 column chromatography, and semi-preparative HPLC. Structural identification was conducted based on spectroscopic data. Ten steroid compounds were isolated and identified, namely makisterone A 3-acetate(1), makisterone A 2-acetate(2), makisterone A(3), ajugasterone C 2-acetate(4), ajugasterone C(5), 20-hydroxyecdysone 2-acetate(6), 20-hydroxyecdysone 3-acetate(7), podecdysone C(8), rubrosterone(9), and poststerone(10). Compounds 1 and 2 are new steroid compounds. The anti-HSV-1 activities of compounds 1-10 were evaluated using the CPE inhibition method. Vero cells were used in the experiment, with acyclovir as the positive control. The results showed that compounds 9 and 10 showed anti-HSV-1 activity, with EC_(50) values of 83.11 and 103.62 μg·mL~(-1), respectively.
Herpesvirus 1, Human/drug effects* ; Antiviral Agents/isolation & purification* ; Animals ; Chlorocebus aethiops ; Steroids/isolation & purification* ; Vero Cells ; Drugs, Chinese Herbal/isolation & purification* ; Molecular Structure

Objective:This study aims to evaluate the incidence of postoperative malnutrition in colorectal cancer patients who underwent curative colorectal cancer surgery using the Golbal Leadership Initiative on Malnutrition(GLIM)criteria,and to explore the impact of malnutrition defined by the GLIM criteria on short-term clinical outcomes in patients with colorectal cancer.Method:We included a prospective cohort of 171 patients who underwent curative colorectal cancer surgery in Chongqing JiuLongpo People's Hospital from September 2022 to May 2023.Nutritional Risk Screening 2002(NRS 2002)was used for nutritional risk screening and GLIM criteria was used for the diagnosis of malnutrition.To compare the short-term postoperative clinical outcomes between the well-nourished group and the malnourished group under the GLIM criteria.Logistic regression analysis was conducted to analyze the risk factors of postoperative complications.Result:Among the included cases,nutritional screening data showed that 74(43.27％)patients were considered to be at risk of malnutrition(NRS 2002≥3),while based on GLIM criteria,63 patients(36.84％)were diagnosed as malnutrition.Univariate logistic regression analysis showed that GLIM-defined malnutrition was associated with total postoperative complications[odds ratio:2.075(95％CI:1.292～3.333),P=0.002].Multivariat analysis showed that women,BMI＜18.5kg/m2,smoking history,low differentiation of tumor,sarcopenia,laparotomy,low prealbumin,were independent risk factors for total postoperative complications.Conclusions:The nutritional diagnosis based on the GLIM criteria can effectively reflect the preoperative nutritional status of patients with colorectal cancer.GLIM-defined preoperative malnutrition can predict the risk of short-term complications in colorectal cancer patients who underwent curative colorectal cancersurgery.

OBJECTIVES: To investigate the clinical treatment outcomes and the changes of the outcomes over time in extremely preterm twins in Guangdong Province, China. METHODS: A retrospective analysis was performed for 269 pairs of extremely preterm twins with a gestational age of <28 weeks who were admitted to the department of neonatology in 26 grade A tertiary hospitals in Guangdong Province from January 2008 to December 2017. According to the admission time, they were divided into two groups: 2008-2012 and 2013-2017. Besides, each pair of twins was divided into the heavier infant and the lighter infant subgroups according to birth weight. The perinatal data of mothers and hospitalization data of neonates were collected. The survival rate of twins and the incidence rate of complications were compared between the 2008-2012 and 2013-2017 groups. RESULTS: Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of severe asphyxia and smaller head circumference at birth (P<0.05). The mortality rates of both of the twins, the heavier infant of the twins, and the lighter infant of the twins were lower in the 2013-2017 group compared with the 2008-2012 group (P<0.05). Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of pulmonary hemorrhage, patent ductus arteriosus (PDA), periventricular-intraventricular hemorrhage (P-IVH), and neonatal respiratory distress syndrome (NRDS) and a higher incidence rate of bronchopulmonary dysplasia (P<0.05). CONCLUSIONS There is a significant increase in the survival rate over time in extremely preterm twins with a gestational age of <28 weeks in the 26 grade A tertiary hospitals in Guangdong Province. The incidences of severe asphyxia, pulmonary hemorrhage, PDA, P-IVH, and NRDS decrease in both the heavier and lighter infants of the twins, but the incidence of bronchopulmonary dysplasia increases. With the improvement of diagnosis and treatment, the multidisciplinary collaboration between different fields of fetal medicine including prenatal diagnosis, obstetrics, and neonatology is needed in the future to jointly develop management strategies for twin pregnancy.
Bronchopulmonary Dysplasia/epidemiology* ; Female ; Gestational Age ; Humans ; Infant ; Infant, Extremely Premature ; Infant, Newborn ; Pregnancy ; Respiratory Distress Syndrome, Newborn/epidemiology* ; Retrospective Studies ; Treatment Outcome

We aimed to evaluate the effectiveness and safety of single-course initial regimens in patients with low-risk gestational trophoblastic neoplasia (GTN). In this trial (NCT01823315), 276 patients were analyzed. Patients were allocated to three initiated regimens: single-course methotrexate (MTX), single-course MTX + dactinomycin (ACTD), and multi-course MTX (control arm). The primary endpoint was the complete remission (CR) rate by initial drug(s). The primary CR rate was 64.4% with multi-course MTX in the control arm. For the single-course MTX arm, the CR rate was 35.8% by one course; it increased to 59.3% after subsequent multi-course MTX, with non-inferiority to the control (difference -5.1%,95% confidence interval (CI) -19.4% to 9.2%, P = 0.014). After further treatment with multi-course ACTD, the CR rate (93.3%) was similar to that of the control (95.2%, P = 0.577). For the single-course MTX + ACTD arm, the CR rate was 46.7% by one course, which increased to 89.1% after subsequent multi-course, with non-inferiority (difference 24.7%, 95% CI 12.8%-36.6%, P < 0.001) to the control. It was similar to the CR rate by MTX and further ACTD in the control arm (89.1% vs. 95.2%, P =0.135). Four patients experienced recurrence, with no death, during the 2-year follow-up. We demonstrated that chemotherapy initiation with single-course MTX may be an alternative regimen for patients with low-risk GTN.
Antineoplastic Combined Chemotherapy Protocols/adverse effects* ; Dactinomycin/adverse effects* ; Female ; Gestational Trophoblastic Disease/drug therapy* ; Humans ; Methotrexate/therapeutic use* ; Pregnancy ; Retrospective Studies

OBJECTIVE: To investigate the clinical characteristics, etiology, therapy and outcome of hyperthyroidism after allogeneic hematopoietic stem cell transplantation (HSCT). METHODS: The clinical data of 7 patients who experienced hyperthyroidism were retrospectively analyzed in our hospital. RESULTS: These 7 patients (5 males, 2 females) suffered hyperthyroidism after HSCT. All patients did not apply the pretreatment regimen containing total body irradiation (TBI). The median age was 25 years old, only one child. Six patients underwent haploidentical HSCT except one patient after unrelated HSCT. The median time of hyperthyroidism occurrence was 20 months. Two patients experienced chronic graft versus host disease (GVHD) when hyperthyroidism occurred and were treated successfully with glucocorticoid, however one patient suffered hypothyroidism 3 months later and needed long-term oral levothyroxine maintenance. One patient developed hypothyroidism post treatment of ¹³¹I. The other four patients were treated with methimazole and all of them showed normal thyroid function except one patient suffered from hypothyroidism 1 year later and needed long-term oral levothyroxine maintenance. CONCLUSION Hyperthyroidism is a rare complication after HSCT but may affect healthy and lead to lower quality of life. Routine thyroid function monitoring should be recommended after HSCT. Treatment of hyperthyroidism should be given according to the pathogeny.
Adult ; Child ; Female ; Graft vs Host Disease ; Hematopoietic Stem Cell Transplantation/adverse effects* ; Humans ; Hyperthyroidism/complications* ; Hypothyroidism/complications* ; Male ; Quality of Life ; Retrospective Studies ; Thyroxine/therapeutic use* ; Transplantation Conditioning/adverse effects*

Depression is a serious mental illness with a high incidence. At present, we do not fully understand the specific pathological mechanisms of depression, and the efficacy of drug treatments is very limited. Recent studies have shown that epigenetic changes that occur in specific brain regions may be a key mechanism by which environmental factors to interact with individuals to influence the risk of depression. Therefore, drugs that target epigenetic regulation may become a new direction for the development of antidepressants. Histone deacetylase inhibitors (HDACi) are a class of compounds that inhibit histone deacetylase activity, which has been reported to be associated with depression; this article addresses the use of HDACi in preclinical studies, and their potential therapeutic role and limitations of use in depression.