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 distribution of Chinese medicine (CM) syndrome in patients with acute myocardial infarction (AMI) on admission and its impact on prognosis. METHODS: A total of 525 AMI patients were prospectively recruited and classifified into 4 groups based on their clinical characteristics: excess-heat, excess-cold, deficiency-heat and deficiency-cold syndromes. Major adverse cardiovascular events (MACEs) were followed up. RESULTS: The excess syndrome was more common than deficiency syndrome (72.95% vs. 27.05%; P<0.05). Totally 495 (94.29%) of 525 AMI patients were followed up (median 277 days). There were 59 (11.92%) MACEs. After adjusted with confounding factors in Cox regression models, the hazard ratio (95% confifidence interval) of excess-heat, excess-cold, defificiency-heat and defificiency-cold syndrome groups were 1, 1.25 (0.63, 2.49; P<0.05), 2.37 (1.14, 4.94; P<0.05), 3.76 (1.71, 8.28; P<0.05), respectively. CONCLUSIONS Excess syndrome was more common in AMI patients and had better prognosis, while defificiency-cold syndrome had the poorest prognosis. CM syndrome was of value in predicting long-term outcomes in AMI patients.

Background:For Chinese patients with hepatocellular carcinoma (HCC),surgical resection is the most important treatment to achieve long-term survival for patients with an early-stage tumor,and yet the prognosis after surgery is diverse.We aimed to construct a scoring system (Shanghai Score) for individualized prognosis estimation and adjuvant treatment evaluation.Methods:A multivariate Cox proportional hazards model was constructed based on 4166 HCC patients undergoing resection during 2001-2008 at Zhongshan Hospital.Age,hepatitis B surface antigen,hepatitis B e antigen,partial thromboplastin time,total bilirubin,alkaline phosphatase,γ-glutamyltransferase,α-fetoprotein,tumor size,cirrhosis,vascular invasion,differentiation,encapsulation,and tumor number were finally retained by a backward step-down selection process with the Akaike information criterion.The Harrell's concordance index (C-index) was used to measure model performance.Shanghai Score is calculated by summing the products of the 14 variable values times each variable's corresponding regression coefficient.Totally 1978 patients from Zhongshan Hospital undergoing resection during 2009-2012,808 patients from Eastern Hepatobiliary Surgery Hospital during 2008-2010,and 244 patients from Tianjin Medical University Cancer Hospital during 2010-2011 were enrolled as external validation cohorts.Shanghai Score was also implied in evaluating adjuvant treatment choices based on propensity score matching analysis.Results:Shanghai Score showed good calibration and discrimination in postsurgical HCC patients.The bootstrap-corrected C-index (confidence interval [CI]) was 0.74 for overall survival (OS) and 0.68 for recurrence-free survival (RFS) in derivation cohort (4166 patients),and in the three independent validation cohorts,the CIs for OS ranged 0.70-0.72 and that for RFS ranged 0.63-0.68.Furthermore,Shanghai Score provided evaluation for adjuvant treatment choices (transcatheter arterial chemoembolization or interferon-α).The identified subset of patients at low risk could be ideal candidates for curative surgery,and subsets of patients at moderate or high risk could be recommended with possible adjuvant therapies after surgery.Finally,a web server with individualized outcome prediction and treatment recommendation was constructed.Conclusions:Based on the largest cohort up to date,we established Shanghai Score-an individualized outcome prediction system specifically designed for Chinese HCC patients after surgery.The Shanghai Score web server provides an easily accessible tool to stratify the prognosis of patients undergoing liver resection for HCC.

OBJECTIVETo evaluate the efficacy of porcine anti-human lymphocyte globulin (P-ALG) plus cyclosporine A (CsA) therapy for severe aplastic anemia (SAA).

METHODSForty-eight SAA patients (31 males, 17 females) including 17 very severe aplastic anemias (vSAA) were treated with ALG plus CsA between 1999 to 2009 in our hospital and the outcomes were analyzed retrospectively for early mortality, response rate and quality, survival rate, toxicity and complications.

RESULTSThe median age was 28 (13 - 64) years. The interval from diagnosis to treatment was 45 days. The median neutrophil count at diagnosis was 0.178 × 10(9)/L. Overall response was 83.3% (54.2% complete, 29.2% partial) with a median time of 90 (23 - 380) days. 10.4% died of infection within 30 days mainly of fungi infection. Only 1 patient relapsed 2 years after treatment. No clonal disease was found. The 1.5-year survival rate was 87.5%. vSAAs had less response, higher early mortality and less survival (64.7%, 29.4% and 51.8%, respectively) compared to that of SAA (93.5%, 0, 100%, respectively, P < 0.05). Grouped patients with different age, gender, intervals between diagnosis and treatment and pre-existing infections had similar response. The main side effects were fever and skin rash (52.1%), serum sickness (16.7%), impaired liver function (60.4%) and hemorrhage (2.1%). No treatment-related mortality was found.

CONCLUSIONP-ALG plus CsA is an ideal and well tolerated treatment for SAA but not for vSAA.

Adolescent ; Adult ; Anemia, Aplastic ; drug therapy ; Animals ; Antilymphocyte Serum ; therapeutic use ; Cyclosporine ; therapeutic use ; Female ; Humans ; Immunosuppressive Agents ; therapeutic use ; Lymphocytes ; immunology ; Male ; Middle Aged ; Retrospective Studies ; Swine ; Treatment Outcome ; Young Adult

OBJECTIVETo compare the efficacy and adverse effects between arsenic trioxide (ATO) and all-trans retinoic acid (ATRA) in patients with acute promyelocytic leukemia (APL).

METHODSThe clinical data of 71 patients with newly diagnosed APL were retrospectively analyzed. Two groups were classified according to the induction regimens, namely ATO group (n = 41) and ATRA group (n = 30). The complete remission (CR) rate and the time to CR were compared between these two groups.

RESULTSThe CR rate was 97.5% in ATO group and 93.3% in ATRA group (P > 0.05). The median time to CR was 29 days (21-45 days) in ATO group, which was significantly shorter than 38.5 days (24-63 days) in ATRA group (P < 0.001). Retinoic acid syndrome occurred in 52.9% of patients treated with ATRA, which affected the further use of ATRA.

CONCLUSIONSBoth ATO and ATRA have high response rates for newly diagnosed patients with APL. Compared with ATRA, ATO induction therapy has shorter time to achieve CR and less adverse effects, and therefore may be the first-line therapy for APL.

Adolescent ; Adult ; Aged ; Arsenicals ; adverse effects ; therapeutic use ; Female ; Humans ; Leukemia, Promyelocytic, Acute ; drug therapy ; Male ; Middle Aged ; Oxides ; adverse effects ; therapeutic use ; Remission Induction ; Retrospective Studies ; Treatment Outcome ; Tretinoin ; adverse effects ; therapeutic use ; Young Adult