1.Chinese expert consensus on the diagnosis and treatment of chronic pain after lung surgery with integrated Traditional Chinese and Western medicine (2026 edition)
Jichen QU ; Wentian ZHANG ; Jianqiao CAI ; Zhigang CHEN ; Bin LI ; Wei DAI ; Xiangwu WANG ; Yan LI ; Xiang LÜ ; ; Yongfu ZHU ; Mingran XIE ; Sufang ZHANG ; Lei JIANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(04):522-534
Chronic post-surgical pain (CPSP) is a common long-term complication following lung surgery. Its high incidence significantly impacts patients’ quality of life and functional recovery, and imposes a substantial socioeconomic burden. This consensus aims to systematically establish a standardized integrated Chinese and Western medicine diagnostic and treatment framework for chronic post-lung surgery pain (CPLSP). Based on the latest domestic and international evidence-based medical research and multidisciplinary clinical experience, the working group comprehensively elaborates on core issues regarding CPLSP, including its definition, epidemiology, pathogenesis, clinical assessment, Western medical treatment, traditional Chinese medicine (TCM) treatment, and integrated strategies. The consensus emphasizes a patient-centered approach, adhering to the principles of multimodality, individualization, and stepwise management, highlighting the synergistic advantages of integrating Chinese and Western medicine throughout the entire perioperative management cycle encompassing "perioperative anti-inflammation, acute analgesia, and chronic rehabilitation." Through systematic literature retrieval and evidence integration, a total of 9 core recommendations were established to provide scientifically sound and clinically practical guidance.
2.Expert consensus on the application of artificial intelligence in lung cancer screening, diagnosis, and treatment (2026 edition)
Wenzhao ZHONG ; Haibo WANG ; Yi HU ; Hao ZHANG ; Jigang DAI ; Junqiang FAN ; Guibin QIAO ; Fan YANG ; Jian HU ; Fengwei TAN ; Xuening YANG ; Qiang PU ; Zihao CHEN ; Hongxia TIAN ; Lunxu LIU ; Hecheng LI ; Xiaolong YAN ; Zongyang YU ; Zhenbin QIU ; Yihua SUN ; Jing HU ; Yuhang SHI ; Zhifei GUO ; Peng ZHANG ; Kezhong CHEN ; Shugeng GAO ; Yilong WU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(06):848-856
With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.
3.Feasibility analysis of bilateral uterine artery embolization via distal radial artery access
Faliang DAI ; Chunhai LI ; Jun HOU ; Tianshu LIU ; Yongqi JI ; Fangfang ZHANG ; Yan JIAO ; Guoning TIAN ; Yixing LIU
Journal of Practical Radiology 2025;41(9):1549-1552
Objective To explore the feasibility and safety of bilateral uterine artery embolization(UAE)via distal radial artery access.Methods Thirty patients who underwent bilateral UAE were selected.They were divided into distal radial artery group(14 cases)and femoral artery group(16 cases).The clinical signs,puncture times,operation time,compression hemostasis time,discomfort scores,microcatheter non-use rates,and complication rates of the two groups were analyzed,the feasibility and safety of bilateral UAE via distal radial artery access were evaluated.Results The mean number of puncture times in the distal radial artery group was 1.6 times that of the femoral artery group,and the puncture pain score was 1.5 times that of the femoral artery group(P<0.05).The operation time and puncture point compression hemostasis time in the distal radial artery group were shorter than those in the femoral artery group,and the discomfort score of compression hemostasis in the distal radial artery group was lower than that in the femoral artery group(P<0.01).The proportions who did not use microcatheters in the two groups accounted for 28.6%and 6.3%,respectively,the difference was not statistically significant(P>0.05).Four patients with poor access vessels were found in the distal radial artery group(P<0.05).Conclusion Bilateral UAE via distal radial artery access is safe and feasible.
4.Feasibility analysis of bilateral uterine artery embolization via distal radial artery access
Faliang DAI ; Chunhai LI ; Jun HOU ; Tianshu LIU ; Yongqi JI ; Fangfang ZHANG ; Yan JIAO ; Guoning TIAN ; Yixing LIU
Journal of Practical Radiology 2025;41(9):1549-1552
Objective To explore the feasibility and safety of bilateral uterine artery embolization(UAE)via distal radial artery access.Methods Thirty patients who underwent bilateral UAE were selected.They were divided into distal radial artery group(14 cases)and femoral artery group(16 cases).The clinical signs,puncture times,operation time,compression hemostasis time,discomfort scores,microcatheter non-use rates,and complication rates of the two groups were analyzed,the feasibility and safety of bilateral UAE via distal radial artery access were evaluated.Results The mean number of puncture times in the distal radial artery group was 1.6 times that of the femoral artery group,and the puncture pain score was 1.5 times that of the femoral artery group(P<0.05).The operation time and puncture point compression hemostasis time in the distal radial artery group were shorter than those in the femoral artery group,and the discomfort score of compression hemostasis in the distal radial artery group was lower than that in the femoral artery group(P<0.01).The proportions who did not use microcatheters in the two groups accounted for 28.6%and 6.3%,respectively,the difference was not statistically significant(P>0.05).Four patients with poor access vessels were found in the distal radial artery group(P<0.05).Conclusion Bilateral UAE via distal radial artery access is safe and feasible.
5.Differences Between Adolescent Depression and Healthy Controls in Biomarkers Associated With Immune or Inflammatory Processes: A Systematic Review and Meta-Analysis
Jiao LI ; Yan ZHANG ; Ning YANG ; Jing DU ; Pule LIU ; Wenchong DAI ; Qiangli DONG
Psychiatry Investigation 2025;22(2):119-129
Objective:
Adolescent depression is a highly prevalent and disabling mental disorder with unclear pathophysiology and unfavorable treatment outcomes. Recent efforts have been focusing on searching for biomarkers as specific indicators of adolescent depression. We performed a systematic literature review and meta-analysis, specifically including studies with healthy control groups as an inclusion criterion. This approach helps to avoid confounding factors and provides more accurate results regarding the inflammatory and immune biomarkers associated with adolescent depression.
Methods:
Three electronic databases were searched for studies comparing the means and changes in the biomarkers between depressed adolescent patients and healthy controls published in English until February 2024. Two authors independently performed the screening, quality assessment, and data extraction of the studies. A meta-analysis was conducted on outcomes reported by two or more studies using a random-effects model and presented Forrest plots and test statistics (I2) for heterogeneity analysis.
Results:
Nine studies were included in the review, including seven case-control studies and two cross-sectional studies. These studies included 24 target biomarkers, 13 of which were quantified in 2 or more studies. Compared to the healthy controls, the depressed adolescents had significantly higher values in ten indicators. Additionally, the depressed adolescents had lower procalcitonin levels than the healthy controls. The two groups showed no significant differences in the remaining 13 biomarkers.
Conclusion
Our findings offer fresh insights into the pathophysiology of inflammatory and immune aspects of adolescent depression and provide helpful guidance in developing targeted and effective intervention and prevention strategies to address adolescent depression.
6.Differences Between Adolescent Depression and Healthy Controls in Biomarkers Associated With Immune or Inflammatory Processes: A Systematic Review and Meta-Analysis
Jiao LI ; Yan ZHANG ; Ning YANG ; Jing DU ; Pule LIU ; Wenchong DAI ; Qiangli DONG
Psychiatry Investigation 2025;22(2):119-129
Objective:
Adolescent depression is a highly prevalent and disabling mental disorder with unclear pathophysiology and unfavorable treatment outcomes. Recent efforts have been focusing on searching for biomarkers as specific indicators of adolescent depression. We performed a systematic literature review and meta-analysis, specifically including studies with healthy control groups as an inclusion criterion. This approach helps to avoid confounding factors and provides more accurate results regarding the inflammatory and immune biomarkers associated with adolescent depression.
Methods:
Three electronic databases were searched for studies comparing the means and changes in the biomarkers between depressed adolescent patients and healthy controls published in English until February 2024. Two authors independently performed the screening, quality assessment, and data extraction of the studies. A meta-analysis was conducted on outcomes reported by two or more studies using a random-effects model and presented Forrest plots and test statistics (I2) for heterogeneity analysis.
Results:
Nine studies were included in the review, including seven case-control studies and two cross-sectional studies. These studies included 24 target biomarkers, 13 of which were quantified in 2 or more studies. Compared to the healthy controls, the depressed adolescents had significantly higher values in ten indicators. Additionally, the depressed adolescents had lower procalcitonin levels than the healthy controls. The two groups showed no significant differences in the remaining 13 biomarkers.
Conclusion
Our findings offer fresh insights into the pathophysiology of inflammatory and immune aspects of adolescent depression and provide helpful guidance in developing targeted and effective intervention and prevention strategies to address adolescent depression.
7.Differences Between Adolescent Depression and Healthy Controls in Biomarkers Associated With Immune or Inflammatory Processes: A Systematic Review and Meta-Analysis
Jiao LI ; Yan ZHANG ; Ning YANG ; Jing DU ; Pule LIU ; Wenchong DAI ; Qiangli DONG
Psychiatry Investigation 2025;22(2):119-129
Objective:
Adolescent depression is a highly prevalent and disabling mental disorder with unclear pathophysiology and unfavorable treatment outcomes. Recent efforts have been focusing on searching for biomarkers as specific indicators of adolescent depression. We performed a systematic literature review and meta-analysis, specifically including studies with healthy control groups as an inclusion criterion. This approach helps to avoid confounding factors and provides more accurate results regarding the inflammatory and immune biomarkers associated with adolescent depression.
Methods:
Three electronic databases were searched for studies comparing the means and changes in the biomarkers between depressed adolescent patients and healthy controls published in English until February 2024. Two authors independently performed the screening, quality assessment, and data extraction of the studies. A meta-analysis was conducted on outcomes reported by two or more studies using a random-effects model and presented Forrest plots and test statistics (I2) for heterogeneity analysis.
Results:
Nine studies were included in the review, including seven case-control studies and two cross-sectional studies. These studies included 24 target biomarkers, 13 of which were quantified in 2 or more studies. Compared to the healthy controls, the depressed adolescents had significantly higher values in ten indicators. Additionally, the depressed adolescents had lower procalcitonin levels than the healthy controls. The two groups showed no significant differences in the remaining 13 biomarkers.
Conclusion
Our findings offer fresh insights into the pathophysiology of inflammatory and immune aspects of adolescent depression and provide helpful guidance in developing targeted and effective intervention and prevention strategies to address adolescent depression.
8.Differences Between Adolescent Depression and Healthy Controls in Biomarkers Associated With Immune or Inflammatory Processes: A Systematic Review and Meta-Analysis
Jiao LI ; Yan ZHANG ; Ning YANG ; Jing DU ; Pule LIU ; Wenchong DAI ; Qiangli DONG
Psychiatry Investigation 2025;22(2):119-129
Objective:
Adolescent depression is a highly prevalent and disabling mental disorder with unclear pathophysiology and unfavorable treatment outcomes. Recent efforts have been focusing on searching for biomarkers as specific indicators of adolescent depression. We performed a systematic literature review and meta-analysis, specifically including studies with healthy control groups as an inclusion criterion. This approach helps to avoid confounding factors and provides more accurate results regarding the inflammatory and immune biomarkers associated with adolescent depression.
Methods:
Three electronic databases were searched for studies comparing the means and changes in the biomarkers between depressed adolescent patients and healthy controls published in English until February 2024. Two authors independently performed the screening, quality assessment, and data extraction of the studies. A meta-analysis was conducted on outcomes reported by two or more studies using a random-effects model and presented Forrest plots and test statistics (I2) for heterogeneity analysis.
Results:
Nine studies were included in the review, including seven case-control studies and two cross-sectional studies. These studies included 24 target biomarkers, 13 of which were quantified in 2 or more studies. Compared to the healthy controls, the depressed adolescents had significantly higher values in ten indicators. Additionally, the depressed adolescents had lower procalcitonin levels than the healthy controls. The two groups showed no significant differences in the remaining 13 biomarkers.
Conclusion
Our findings offer fresh insights into the pathophysiology of inflammatory and immune aspects of adolescent depression and provide helpful guidance in developing targeted and effective intervention and prevention strategies to address adolescent depression.
9.Differences Between Adolescent Depression and Healthy Controls in Biomarkers Associated With Immune or Inflammatory Processes: A Systematic Review and Meta-Analysis
Jiao LI ; Yan ZHANG ; Ning YANG ; Jing DU ; Pule LIU ; Wenchong DAI ; Qiangli DONG
Psychiatry Investigation 2025;22(2):119-129
Objective:
Adolescent depression is a highly prevalent and disabling mental disorder with unclear pathophysiology and unfavorable treatment outcomes. Recent efforts have been focusing on searching for biomarkers as specific indicators of adolescent depression. We performed a systematic literature review and meta-analysis, specifically including studies with healthy control groups as an inclusion criterion. This approach helps to avoid confounding factors and provides more accurate results regarding the inflammatory and immune biomarkers associated with adolescent depression.
Methods:
Three electronic databases were searched for studies comparing the means and changes in the biomarkers between depressed adolescent patients and healthy controls published in English until February 2024. Two authors independently performed the screening, quality assessment, and data extraction of the studies. A meta-analysis was conducted on outcomes reported by two or more studies using a random-effects model and presented Forrest plots and test statistics (I2) for heterogeneity analysis.
Results:
Nine studies were included in the review, including seven case-control studies and two cross-sectional studies. These studies included 24 target biomarkers, 13 of which were quantified in 2 or more studies. Compared to the healthy controls, the depressed adolescents had significantly higher values in ten indicators. Additionally, the depressed adolescents had lower procalcitonin levels than the healthy controls. The two groups showed no significant differences in the remaining 13 biomarkers.
Conclusion
Our findings offer fresh insights into the pathophysiology of inflammatory and immune aspects of adolescent depression and provide helpful guidance in developing targeted and effective intervention and prevention strategies to address adolescent depression.
10.Molecular characteristics and drug resistance analysis of H3N2 influenza virus in Jiangsu Province from 2022 to 2023
Fei DENG ; Shen-Jiao WANG ; Hui-Yan YU ; Xian QI ; Li-Guo ZHU ; Qi-Gang DAI
Chinese Journal of Zoonoses 2024;40(9):848-854
On the basis of the laboratory detection results of influenza viruses in Jiangsu Province from 2022 to 2023,this study was aimed at conducting a analysis of the genetic characteristics and resistance of the H3N2 influenza virus,and evalua-ting the effectiveness of vaccines and drugs.The full genome of 29 H3N2 isolates submitted by provincewide influenza surveil-lance network laboratories was amplified and sequenced.Phylogenetic trees of the HA and NA genes were constructed.The mutation characteristics of antigenic sites,glycosylation sites,and resistance sites were analyzed,and the influenza virus neura-minidase was detected with a fluorescence luminescence method.The homology of the 29 H3N2 isolates in Jiangsu Province was relatively high.The isolates belonged to the same evolutionary branch as domestic reference strains and the 2021-2022 vaccine strains,but were in different evolutionary branches from foreign reference strains and the 2022-2023 vaccine strains.Compared with the 2021-2022 vaccine strain A/Cambodia/e0826360/2020,the H3N2 influenza viruses isolated in Jiangsu Province during 2022-2023 had four amino acid substitutions in the HA protein and two amino acid substitutions in the NA protein.No changes in glycosylation sites,receptor-binding sites,and conserved amino acid residue regions were observed.IC50 analysis indicated that the 29 H3N2 isolates were not resistant to the antiviral drugs oseltamivir and zanamivir.The pre-dominant influenza viruses detected in Jiangsu Province during 2022-2023 were type A H3N2 influenza viruses.Monitoring of variations in HA and NA gene sites and influenza virus resistance aids in rapid understanding gene mutations,and can inform the selection of effective vaccine strains,and contribute to the prevention and control of influenza virus outbreaks.

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