Animal experiments are essential tools in biomedical research, serving as a bridge between basic research and clinical trials. Systematic reviews and meta-analyses (SRs/MAs) of animal experiments are crucial methods for integrating evidence from animal experiment, which can facilitate the translation of findings into clinical research, reduce translational risks, and promote resource integration in basic research. With the continuous development of the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology, its application in SRs/MAs of animal experiments has gained increasing attention. This article first outlines the principles and specific applications of the GRADE methodology in SRs/MAs of animal experiments, including qualitative descriptive systematic reviews, meta-analyses, and network meta-analyses. It then deeply analyzes the misuse of the GRADE methodology in practice, including incorrect evidence grading, improper classification of evidence, misapplication in qualitative systematic reviews, inconsistencies between the documentation of the upgrading and downgrading process and results, and inappropriate use for making recommendations. Furthermore, this article comprehensively discusses the factors influencing the grading of evidence certainty in SRs/MAs of animal experiments, including the impact of bias risk, indirectness, inconsistency, imprecision, and publication bias on evidence downgrading, as well as the role of large effect sizes and cross-species consistency in evidence upgrading. Finally, in response to the issues discussed, improvement strategies are proposed, including further research and optimization of the GRADE methodology for SRs/MAs of animal experiments, the development of reporting guidelines tailored to the characteristics of SRs/MAs in animal experiment research, and enhanced professional training for researchers in the GRADE methodology. This article aims to improve the quality of evidence in SRs/MAs of animal experiments, strengthen their reliability in clinical decision-making, and promote the more efficient translation of findings from animal experiment research into clinical practice.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Objective:To investigate the effect of the magnetic stimulation of the sacral nerve on detrusor weakness after spinal cord injury. Method:36 individuals with detrusor weakness after spinal cord injury were divided into experimental group and control group after randomization.Both groups received conventional rehabilitation treatment,besides,the experimental group received repetitive functional magnetic stimulation(rFMS)on S3 nerve roots.Before treat-ment and after 4-weeks treatment,the simple bladder capacity,bladder ultrasound,self-rating anxiety scale were observed. Result:The maximum automatic micturition volume,average automatic micturition volume,residual urine vol-ume,initial uriesthesis,and anxiety self-evaluation score of the two groups were improved after intervention.And the improvements are more in experimental group(P＜0.05). Conclusion:The effect of the rFMS on individuals with detrusor weakness after spinal cord injury is signifi-cantly better than conventional intervention,which provides a new idea for the clinical treatment of neurogenic bladder with detrusor weakness.

Objective:To compare the diagnostic efficacy of 18F-prostate specific membrane antigen (PSMA)-1007 PET/CT, 18F-FDG PET/CT and multi-parameter MRI (mpMRI) in prostate cancer (PCa). Methods:Retrospective analysis was conducted on data from 22 patients ((72.6±6.2) years) with pathologically confirmed PCa in the Affiliated Taizhou People′s Hospital of Nanjing Medical University between April 2021 and September 2022. All patients underwent 18F-PSMA-1007 PET/CT, 18F-FDG PET/CT, and mpMRI examination within 30 d, and the imaging parameters were collected, including PSMA-SUV max, FDG-SUV max, minimum apparent diffusion coefficient (ADC min), mean apparent diffusion coefficient (ADC mean), PSMA-SUV max/ADC min, PSMA-SUV max/ADC mean, FDG-SUV max/ADC min, FDG-SUV max/ADC mean. Patients were divided into groups based on the International Society of Urological Pathology (ISUP) grading (≤3 vs >3) and serum total prostate specific antigen (TPSA; ≤20 μg/L vs >20 μg/L), and differences of imaging parameters between groups were compared (Mann-Whitney U test or independent-sample t test). ROC curves were generated to evaluate the diagnostic ability of each parameter for different levels of PCa. χ2 test and ROC curve analysis were used to compare the detection rate and diagnostic efficiency of three imaging methods for primary focus, lymph node metastasis, and bone metastasis in PCa. Results:Differences were found between ISUP≤3 ( n=6) and >3 ( n=16) groups in PSMA-SUV max/ADC min, PSMA-SUV max/ADC mean, PSMA-SUV max, and ADC min ( z values: from -2.65 to -2.36, t=3.60, P values: 0.002-0.018). But there was no significant difference found between TPSA≤20 μg/L ( n=5) and >20 μg/L ( n=17) groups in all indices ( z values: from -1.76 to -1.45, t values: -1.19 and 1.28, all P>0.05). The optimal cut-off value for PSMA-SUV max/ADC min in differentiating high-grade and low-grade PCa was determined to be 22.628×10 3. In the patient-based analysis, no statistical difference was found in the detection rate of PCa primary tumors among 18F-PSMA-1007 PET/CT, 18F-FDG PET/CT, and mpMRI ( χ2=1.91, P=0.767). However, the detection rates of lymph node and bone metastasis among three imaging methods were significantly different (72.73%(16/22), 59.09%(13/22), 36.36%(8/22) and 81.82%(18/22), 63.64%(14/22), 45.45%(10/22); χ2 values: 6.03, 6.29; P values: 0.049, 0.043). 18F-PSMA-1007 PET/CT resulted in a 36.36%(8/22) increase in N stage and the 40.91%(9/22) increase in M stage compared to mpMRI. Conclusions:PSMA-SUV max/ADC min is a valuable parameter for differentiating high-grade and low-grade PCa. 18F-PSMA-1007 PET/CT demonstrates superior detection rate of PCa lymph node and bone metastasis compared to 18F-FDG PET/CT and mpMRI, and exhibits higher diagnostic efficiency, so it can be recommended for NM staging in patients with PCa.

Objective: To analyze the developmental trajectories of middle school students loneliness and social support, as well as to explore the interaction between loneliness and social support, so as to provide the evidence based support for the mental health development of adolescents. Methods: A total of 989 first year students from four public middle schools in Xiangxi Tujia and Miao Autonomous Prefecture, Hunan Province were selected for three follow up surveys by a cluster random sampling method (T1:March 2023, T2:June 2023, T3:December 2023). The UCLA Loneliness Scale-20 (ULS-20) and Social Support Scale for University Students (SSSUS) were employed for questionnaire data collection. The growth mixture modeling was utilized to test the developmental trajectories of loneliness and social support among middle school students, while the cross lagged analysis was performed to investigate their mutual influence. Results: The scores for loneliness and social support in T1, T2 and T3 were (43.1±5.8, 42.5± 6.8 , 42.0±6.9; 55.9±12.0, 60.7±15.7, 60.4±16.7), respectively. Correlational analysis revealed a significant negative correlation between loneliness levels (T1, T2, T3) and social support (T1, T2, T3) ( r =-0.47 to -0.36, P <0.01). Growth mixture modeling indicated a linear declining trend of middle school students loneliness, and the developmental trajectory of social support showed a linear increasing trend, with significant individual differences in initial levels and rates of change ( P <0.05). Cross lagged analyses revealed that loneliness levels at T1 negatively predicted social support scores at T2 ( β =-0.16), and loneliness levels at T2 negatively predicted social support scores at T3 ( β =-0.12) ( P <0.05). Additionally, prior loneliness positively predicted its subsequent levels, with path coefficients of 0.58 and 0.47, respectively ( P <0.05). Social support scores at T1 negatively predicted loneliness levels at T2 ( β =-0.10), while scores at T2 negatively predicted loneliness levels at T3 ( β =-0.15) ( P <0.05). Prior loneliness also positively predicted its subsequent levels, with path coefficients of 0.43 and 0.44, respectively ( P <0.05). Conclusion The developmental trajectory of middle school students loneliness demonstrates a decreasing trend, while that of social support exhibits a linear increasing trend, indicating a longitudinal causal relationship between loneliness and social support.

Gualou Niubangtang is a classic formula for eliminating swelling and dispersing lumps， commonly used in the clinical treatment of breast diseases in traditional Chinese medicine （TCM）. This paper employed bibliometric methods to collect and organize 12 pieces of data from ancient texts related to Gualou Niubangtang， ultimately screening 10 valid references from 10 ancient Chinese medical books. Information regarding the prescription origin， main indications， formulation principles， drug composition， dosages， preparation methods， and decoction techniques was systematically verified. The results indicate that Gualou Niubangtang originates from the Orthodox Manual of External Medicine （Wai Ke Zheng Zong） by Chen Shigong in the Ming Dynasty. The formula consists of 12 Chinese medicines， including Citri Reticulatae Pericarpium， Arctii Fructus， Gardeniae Fructus， Lonicerae Japonicae Flos， Glycyrrhizae Radix et Rhizoma， Trichosanthis Semen， Scutellariae Radix， Trichosanthis Radix， Forsythiae Fructus， Gleditsiae Spina， Bupleuri Radix， and Citri Reticulatae Pericarpium Viridm. In terms of drug origins， the dominant radical for Trichosanthis Semen and Trichosanthis Radix is Trichosanthes kirilowii， and the historical dominant radical for Glycyrrhizae Radix et Rhizoma is Glycyrrhiza uralensis. The nine medicines， Citri Reticulatae Pericarpium， Arctii Fructus， Gardeniae Fructus， Lonicerae Japonicae Flos， Scutellariae Radix， Forsythiae Fructus， Gleditsiae Spina， Bupleuri Radix， and Citri Reticulatae Pericarpium Viridm， are consistent with the 2020 edition of the Chinese Pharmacopoeia. The preparation methods involve frying Arctii Fructus， removing the heart from Forsythiae Fructus， while the remaining 10 medicines are used raw. The efficacy includes clearing heat， removing toxins， reducing swelling， and dispersing lumps. Clinically， it is used to treat conditions such as breast carbuncles， breast gangrene， and knot-like swellings and pain. The dosage， converted to modern standards， includes 3.73 g of Trichosanthis Semen， 3.73 g of Trichosanthis Radix， 3.73 g of Arctii Fructus， 3.73 g of Scutellariae Radix， 3.73 g of Gardeniae Fructus， 3.73 g of Forsythiae Fructus， 3.73 g of Gleditsiae Spina， 3.73 g of Lonicerae Japonicae Flos， 3.73 g of Glycyrrhizae Radix et Rhizoma， 3.73 g of Citri Reticulatae Pericarpium， 1.85 g of Citri Reticulatae Pericarpium Viridm， and 1.85 g of Bupleuri Radix. The preparation is in the form of a decoction， with the 12 medicines added to 400 mL of water and decocted until 160 mL. The liquid is then mixed with 200 mL of yellow wine and taken before meals three times a day. Through the excavation and organization of ancient literature regarding Gualou Niubangtang， key information has been identified to provide a scientific basis for its clinical application and further development.

Objective:To explore the clinical application pathway of the CT generative adversarial networks (CTGANs) algorithm in mandibular reconstruction surgery, aiming to provide a valuable reference for this procedure.Methods:A clinical exploratory study was conducted, 27 patients who visited the Department of Oral and Maxillofacial Surgery, Xiangya Hospital of Central South University between January 2022 and January 2024 and required mandibular reconstruction were selected. The cohort included 16 males and 11 females, with the age of (46.6±11.5) years; among them, 7 cases involved mandibular defects crossing the midline. The CTGANs generator produced 100 images, and the mean squared error (MSE) was calculated for differences between any two generated images. Preoperative cone-beam CT data from 5 patients were used to construct a labeled test database, divided into groups: normal maxilla, normal mandible, diseased mandible, and noise (each group containing 70 cross-sectional images). The CTGANs discriminator was used to evaluate the loss values for each group, and one-way ANOVA and intergroup comparisons were performed. Using the self-developed KuYe multioutcome-option-network generation system (KMG) software, the three-dimensional (3D) completion area of the mandible under cone-beam CT was defined for the 27 patients. The CTGANs algorithm was applied to obtain a reference model for the mandible. Virtual surgery was then performed, utilizing the fibular segment to reconstruct the mandible and design the surgical expectation model. The second-generation combined bone-cutting and prebent reconstruction plate positioning method was used to design and 3D print surgical guides, which were subsequently applied in mandibular reconstruction surgery for the 27 patients. Postoperative cone-beam CT was used to compare the morphology of the reconstructed mandible with the surgical expectation model and the mandibular reference model to assess the three-dimensional deviation.Results:The MSE for the CTGANs generator was 2 411.9±833.6 (95% CI: 2 388.7-2 435.1). No significant difference in loss values was found between the normal mandible and diseased mandible groups ( P>0.05), while both groups demonstrated significantly lower loss values than the maxilla and noise groups ( P<0.001). All 27 patients successfully obtained mandibular reference models and surgical expectation models. In total, 14 162 negative deviation points and 15 346 positive deviation points were observed when comparing the reconstructed mandible morphology with the surgical expectation model, with mean deviations of -1.32 mm (95% CI:-1.33- -1.31 mm) and 1.90 mm (95% CI: 1.04-1.06 mm), respectively. Conclusions:The CTGANs algorithm is capable of generating diverse mandibular reference models that reflect the natural anatomical characteristics of the mandible and closely match individual patient morphology, thereby facilitating the design of surgical expectation models. This method shows promise for application in patients with mandibular defects crossing the midline.

Objective To investigate the effect and potential molecular mechanism of PTGS2 on the prognosis of colon cancer patients.Methods The transcriptomic and proteomic data of pan-cancer were collected from TCGA,HPA,UALCAN and other databases,and the expression pattern and prognostic value of PTGS2 were analyzed by combining the clinical data such as staging,histology,survival time and so on.Based on GSEA,the biological functions which were significantly activated in patients with high expression of PTGS2 were iden-tified and the colon cancer cell line SW480 was used as an example for in vitro validation.PTGS2 over-expressing cell strains were constructed,and the effect on cell proliferation was determined by CCK8 method.Different concen-trations of H2O2 were used to form gradient oxidative stress,and the changes in cell antioxidant capacity were detected.The regulatory mechanism was preliminarily verified by Western blot.Results The transcription and expression of PTGS2 were found to be significantly up-regulated in colon cancer patients(P<0.05),and the increased expression of PTGS2 was associated with an increased mortality risk(P<0.05).Data analysis and in vitro experiments showed that over-expression of PTGS2 may promote the proliferation of colon cancer cells by activating the mTOR pathway.The antioxidant effect of cells was regulated by up-regulating oxidative stress regulatory proteins SOD2 and NRF2.Conclusions PTGS2 is a potential risk factor for colon cancer and its over-expression promotes cell proliferation,enhances cell antioxidant effect and is associated with poor progno-sis of colon cancer patients.

Objective To summarise and analyse the qualitative studies on the factors that influence patient involvement in decision-making for the initial administration of insulin for the patients with Type II diabetes,from the perspectives of patients and healthcare staff in order to provide a reference to promote patient involvement in decision-making.Methods Systematic searches were conducted across databases,such as CINAHL,Cochrane Library,EMBASE,PubMed,Web of Science,PsycINFO,China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP,and SinoMed,for qualitative studies on the factors that affect patient involvement in initial insulin decision-making for the patients with Type II diabetes.The search was limited to articles from the inception of the databases to 30th September,2023.Quality of the included studies was assessed using the Joanna Briggs Institute(JBI)evidence-based healthcare centre for qualitative research quality assessment tool.The results were integrated using a synthesising integration method.Results A total of 19 articles were included,yielding 20 study results,which were categorised into 7 themes of patient decision-making related values,patient role preferences in decision-making,condition of patient,the role of healthcare staff in patient participation in decision-making,professional quality of healthcare staff,relationship between patient and healthcare staff,and the support from a medical institution.The data were ultimately integrated into 4 overarching themes of patient personal factors,healthcare staff factors,patient-staff interaction factors and medical institution factors.Conclusion The involvement of the patients with Type II diabetes in the decision-making for the initial administration of insulin is influenced by patients themselves,healthcare staff and medical institutions.It requires efforts of multiple parties:not only with the patients actively participate in decision-making,but also with the healthcare staff and institutions who provide effective decision supports.