Objective: To evaluate the methodological quality and reporting quality of clinical practice guidelines or expert consensus on blood transfusion and blood use (BTBU) in China (hereinafter referred to as "guidelines/consensus"), providing reference for the development and updating of future BTBU guidelines/consensus. Methods: A systematic search was conducted in Chinese databases such as China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP Data-base, relevant guideline release platforms, and professional association websites. BTBU-related guidelines/consensus published between January 2006 and December 2025 were included. According to the inclusion and exclusion criteria, after completing literature screening and data extraction, three evaluators independently assessed the quality of the included literature using the Scientificity, Transparency, and Applicability of Guidelines Rating Tool (STAR), the Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ), and the International Practice Guideline Reporting Standards (RIGHT). Results: A total of 29 documents were included, including 5 guidelines, 22 consensus statements, and 2 protocols. The results of the STAR assessment showed that the total score was (21.7±8.8)%. The domain score ratios for registration, research protocol, funding, working group, conflict of interest, clinical question, evidence, consensus method, recommendation, accessibility and other domains were (2.2±12.1)%, 0, (36.7±25.1)%, (18.3±7.6)%, (19.2±15.3)%, (16.6±23.1)%, (15.1±6.3)%, (9.6±21.2)%, (54.3±18.4)%, (31.7±10.4)% and (10.3±31.0)%, respectively. For the AGREE Ⅱ assessment, the methodological quality of 26 articles was rated Grade B and 3 articles Grade C. The results of the RIGHT assessment indicated that the overall reporting rate of all guidelines/consensuses was (65.3±4.0)%. Conclusion: The methodological and reporting quality of current expert guidelines/consensus on BTBU in China still need improvement, and guidelines and consensus should be strictly formulated and standardized according to the standards of STAR, AGREE II and RIGHT.

Malignant tumors(commonly referred to as cancer)represent a major global public health challenge and contribute significantly to the worldwide disease burden.Early screening plays a critical role in improving detection rates,enabling timely intervention,and enhancing pa-tient survival rates.However,current cancer screening guidelines primarily focus on site-specific screening,which may not fully address the need for comprehensive early detection.A scientifical-ly rational,multi-cancer screening approach offers several advantages:it optimizes the use of bio-logical samples,reduces time costs for participants,enhances the efficiency and comprehensive-ness of screening,and minimizes overall expenses.Such an approach also facilitates the rational allocation of healthcare resources,ultimately helping to reduce the societal burden of cancer.To address this need,the Cancer Epidemiology Committee of the Chinese Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers in China.This consensus integrates multidisciplinary expertise and synthesizes the latest domestic and interna-tional researches on cancer screening,early detection,and treatment for prevalent malignancies.Drawing upon China's unique demographic and healthcare context,as well as practical screening experiences,the consensus provides evidence-based recommendations on target populations,screening technologies,and procedural workflows for multi-cancer screening.These guidelines align with the principles and methodologies established by the World Health Organization(WHO),aiming to:enhance the effectiveness of combined cancer screening in China,improve early detec-tion rates,and provide a scientific foundation for national cancer prevention and control strategies.

Malignant tumors(commonly referred to as cancers)represent a major global public health challenge and contribute substan-tially to the global disease burden.Early screening plays a crucial role in improving detection rates,enabling timely intervention,and enhan-cing patient survival.However,current cancer screening guidelines primarily focus on site-specific screening,which may not fully address the need for comprehensive early detection.A scientifically rational,multi-cancer screening approach offers several advantages:it optimizes the use of biological samples,reduces the time burden for participants,enhances the efficiency and comprehensiveness of screening,and min-imizes overall expenses.Moreover,this approach facilitates rational allocation of healthcare resources,ultimately helping to reduce the soci-etal burden of cancer.To address gap,the Cancer Epidemiology Committee of the China Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers.This consensus integrates multidisciplinary expertise and synthesizes the latest do-mestic and international researches on cancer screening,early detection,and treatment of prevalent malignancies.Drawing upon China's unique demographic and healthcare context and practical screening experiences,the consensus provides evidence-based recommendations on target populations,screening technologies,and procedural workflows for multi-cancer screening.These guidelines align with the prin-ciples and methodologies established by the World Health Organization(WHO),aiming to enhance the effectiveness of combined cancer screening in China,improve early detection rates,and provide a scientific foundation for national cancer prevention and control strategies.

Acute lung injury (ALI) has been a kind of acute and severe disease that is mainly characterized by systemic uncontrolled inflammatory response to the production of huge amounts of reactive oxygen species (ROS) in the lung tissue. Given the critical role of ROS in ALI, a Fe₃O₄ loaded bovine serum albumin (BSA) nanocluster (BF) was developed to act as a nanomedicine for the treatment of ALI. Combining with NIR irradiation, it exhibited excellent ROS scavenging capacity. Significantly, it also displayed the excellent antioxidant and anti-inflammatory functions for lipopolysaccharides (LPS) induced macrophages (RAW264.7), and Sprague Dawley rats via lowering intracellular ROS levels, reducing inflammatory factors expression levels, inducing macrophage M2 polarization, inhibiting NF-κB signaling pathway, increasing CD4⁺/CD8⁺ T cell ratios, as well as upregulating HSP70 and CD31 expression levels to reprogram redox homeostasis, reduce systemic inflammation, activate immunoregulation, and accelerate lung tissue repair, finally achieving the synergistic enhancement of ALI immunotherapy. It finally provides an effective therapeutic strategy of BF + NIR for the management of inflammation related diseases.

OBJECTIVES: To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application. Methods and. RESULTS: Recommendations were formulated based on literature review and expert group discussion, and consensus was reached following expert consultation. The consensus recommendations are comprehensive, covering the entire treatment procedures from preoperative assessment and preparation, surgical operation process, postoperative management and traditional Chinese medicine treatment to individualized treatment planning. The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain, reduced the use of opioid drugs, and significantly improved the quality of life and enhanced immune function of the patients. Postoperative follow-up suggested good treatment tolerance among the patients without serious complications. CONCLUSIONS The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy. The combined treatment has a high clinical value with a good safety profile for management of cancer pain.
Humans ; Medicine, Chinese Traditional ; Cancer Pain/therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Drug Delivery Systems ; Pain Management/methods* ; China

Purpose To analyze the predictive value for the efficacy of chemotherapy and immunotherapy in patient with advanced non-small cell lung cancer(NSCLC).Materials and Methods A total of 120 patients with pathologically confirmed advanced NSCLC were retrospectively selected from September 2021 to October 2023 in the Affiliated Hospital of Inner Mongolia Medical University.All patients received programmed death receptor 1/programmed death receptor ligand 1 inhibitor monotherapy or chemotherapy combined with immunotherapy.The enhanced chest CT within three months of two courses(three to six weeks)for the evaluation of the clinical efficacy via the efficacy evaluation criteria of solid tumor version 1.1 was observed.According to the evaluation situation,all patients were divided into disease progression group(n=66)and disease without progression group(n=54).They were randomly divided into the training group and the verification group in a ratio of 7∶3.Among them,there were 46 patients with progression and 38 patients without progression in the training group.In the verification group,there were 20 patients with progression and 16 patients without progression.The regions of interest were segmented on the enhanced CT images of the chest within one month before the start of treatment,and the radiomics features were extracted and screened to establish the support vector machine learning model.The diagnostic efficacy of the model in predicting therapeutic effect was analyzed using the receiver operating characteristic curve,the calibration curve and decision curve were plotted to evaluate the prediction probability and clinical benefits of the model.Results Two clinical factors,namely the presence or absence of adrenal metastasis and the types of immune drugs,were included in the clinical model.Eleven of the most labeled radiomics characteristics were included in the radiomics model.The two were combined to construct a combined model.The area under the curve of the predictive efficiencies of the training group of the clinical model,the radiomics model and the clinical-radiomics combined model were 0.65,0.92 and 0.90,respectively;while the area under the curve of validation group were 0.64,0.83 and 0.85,respectively.Conclusion CT radiomics will have a high probability of non-invasively predicting the effects of chemotherapy and immunotherapy for advanced NSCLC.Especially the model combined with clinical characteristics has the best predictive efficacy.Radiomics can provide favorable guidance for the survival period and prognosis improvement of advanced NSCLC.

Objective To investigate the influencing factors and predictive efficacy of joint function recovery in patients with tibial plateau fracture with intercondylar spine.Methods Fifty-eight patients with tibial plateau fracture with intercondylar spine admitted to the hospital from May 2020 to July 2022 were selected,all of whom were treated by surgery.The patients were followed up for 12 months after surgery,at the last follow-up,the patients were divided into two groups:poor prognosis group and good prognosis group according to Hospital for Special Surgery(HSS)score,and the clinical data of the two groups were compared.R software was used to build a nomogram prediction model based on the risk factors affecting the poor prognosis of postoperative joint function.Goodness of fit test,receiver operating characteristic(ROC)curve to assess risk nomogram model calibration and differentiation.Results All 58 patients were followed up for 12 months after operation.The HSS score at the last follow-up was 40-95 points,of which 19 were＜59 points.The results of univariate analysis showed that BMI,osteoporosis,preoperative ASA grade,skin and soft tissue injury,intercondylar spine fracture block free,and postoperative functional training may be correlated with poor prognosis of postoperative joint function(P＜0.05).Multivariate logistic regression analysis showed that BMI ≥23 kg/m2,osteoporosis,preoperative ASA grade Ⅲ to Ⅳ,skin and soft tissue injury,intercondylar spine fracture mass free and non-adherence to postoperative functional training were independent risk factors for poor prognosis of postoperative joint function(P＜0.05),there was no interaction among the risk factors(deviation=1.02,Pearson x2=0.98,R2=0.34,P＞0.05).A nomogram model was constructed based on BMI,osteoporosis,preoperative ASA grading,skin and soft tissue injury,intercondylar spine fracture block free,and postoperative functional training.Calibration results showed that the measured values were basically consistent with the predicted values.The results of the Bootstrap internal validation method showed that the sensitivity,specificity,and area under the ROC curve of this nomogram model for predicting poor postoperative joint function recovery in patients with tibial plateau fractures with intercondylar spinous fractures were 86.50％,72.40％,and 0.885,respectively.Conclusion BMI ≥ 23 kg/m2,osteoporosis,preoperative ASA grade,skin and soft tissue injury,intercondylar spine fracture fragment free,and non-adherence to postoperative functional training are risk factors for poor prognosis of postoperative joint function in patients with tibial plateau fracture with intercondylar spine fracture.The nomogram model constructed based on this has good accuracy and discrimination.

Objective To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application.Methods and Results Recommendations were formulated based on literature review and expert group discussion,and consensus was reached following expert consultation.The consensus recommendations are comprehensive,covering the entire treatment procedures from preoperative assessment and preparation,surgical operation process,postoperative management and traditional Chinese medicine treatment to individualized treatment planning.The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain,reduced the use of opioid drugs,and significantly improved the quality of life and enhanced immune function of the patients.Postoperative follow-up suggested good treatment tolerance among the patients without serious complications.Conclusion The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy.The combined treatment has a high clinical value with a good safety profile for management of cancer pain.

Objective:To explore the value of prenatal three-dimensional ultrasonography（3DUS）in displaying auricular morphotyping and dimensions for predicting congenital aural atresia（CAA）.Methods:A retrospective collection of 227 fetuses who underwent ultrasound scans and retained auricular 3DUS volumes from January 2018 to December 2023 at the First Affiliated Hospital of Sun Yat-sen University was conducted. Fetuses were divided into two groups：a CAA group（52 fetuses，62 auricles）and a non-CAA group（175 fetuses，202 auricles），based on the presence or absence of external auditory canal identified through postnatal examination. According to 3DUS auricular contour and presence or absence of the concha，the auricles were divided into 4 types：type Ⅰ，C-shaped auricle with a concha；type Ⅱ，Irregular auricle with a concha；type Ⅲ，C-shaped auricle without a concha；type Ⅳ，Irregular auricle without a concha. And auricular length（AL）and width（AW）were measured to calculate the product of the auricular length and width（ALW）. Normal reference ranges for ALW from the non-CAA group were developed. Differences of the auricular morphotyping and Z-score of ALW（ALWZ）were compared between the two groups. Receiver operating characteristic（ROC）curves were used to evaluate the diagnostic efficiency of auricular morphotyping，ALWZ and the regression model. A Logistic regression model for CAA based on auricular morphotyping and ALWZ were established.Results:The auricular morphotyping and ALWZ between the two groups were different statistically（both P<0.05）. The AUC of the auricular morphotyping and ALWZ predicting CAA were 0.960（95% CI = 0.923 - 0.997）and 0.975（95% CI = 0.959 - 0.991）individually. Formula for CAA prediction model combining the two indicators（5.379 × morphotyping - 2.386 × ALWZ - Conclusions:The auricular morphotyping and dimensions can effectively predict CAA.

Objective:To develop a deep learning-based artificial intelligence system for assessing image quality in early pregnancy ultrasound，and to evaluate its performance in anatomical structure identification and quality control.Methods:A retrospective study was conducted by collecting 17 910 static ultrasound images of 8 quality-control planes from fetuses at 11 to 13 +6 weeks of gestation who underwent routine first-trimester ultrasound examinations at the First Affiliated Hospital of Sun Yat-sen University from June 2018 to June 2024. The dataset was divided into a training set（12 536 images），a test set（3 582 images），and a validation set（1 792 images）in a 7∶2∶1 ratio to develop a prenatal-screening artificial intelligence system（PSAIS）and to evaluate its performance in the automatic recognition and quality control of standard planes during early pregnancy. The average precision and mean average precision（mAP）were used to measure the model's ability to recognize the anatomical structures on each plane. Intraclass correlation coefficient（ICC）and Kappa statistics were used to assess the consistency between PSAIS and expert-level sonographers in both plane image quality assessment and standardization. The efficiency of PSAIS was also compared to manual quality control. Results:In the test set，the mAP values for recognizing the anatomical structures of the 8 quality-control planes all exceeded 0.800. In the validation set，PSAIS demonstrated moderate to good agreement with two experts in image quality evaluation：the ICC ranged from 0.713 to 0.843 for one expert and 0.678 to 0.788 for the other，while the Kappa values ranged from 0.590 to 0.768 and 0.530 to 0.702，respectively. In terms of plane standardization scoring，PSAIS showed particularly high agreement with expert ratings on the transventricular view（compliance rate 94.6%，Kappa=0.860）and the four-chamber cardiac view with blood flow（compliance rate 94.1%，Kappa=0.778），with agreement above 70% for the remaining planes. Compared with manual quality-control，PSAIS significantly increased processing speed：the total processing time was only 413 seconds，markedly less than the 77 008 seconds and 94 918 seconds required for manual QC（ P<0.001）. Conclusions:The PSAIS system performs well in recognizing and controlling the quality of standard ultrasound planes in early pregnancy，demonstrating high consistency with expert evaluations and significantly improved processing efficiency. It has potential application value in enhancing the quality and efficiency of early pregnancy screening.