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.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Objective To evaluate the safety and efficacy of total arterial off-pump coronary artery bypass grafting (OPCABG) using a left internal thoracic artery (LITA) combined with bilateral radial arteries (RAs). Methods We retrospectively analyzed the clinical data of patients with severe multi-vessel coronary artery disease who underwent total arterial OPCABG with a LITA and bilateral RAs at Sichuan Provincial People’s Hospital from November 2020 to April 2023. Results A total of 24 patients were included, comprising 23 males and 1 female, with a mean age of (53.63±4.33) years. The New York Heart Association (NYHA) functional class was Ⅱ to Ⅲ. The mean number of distal anastomoses was 3.17±0.38. A Y-graft was constructed in 12 patients and sequential grafting was performed in 4 patients. Concomitant procedures included coronary endarterectomy in 1 patient, intra-aortic balloon pump (IABP) implantation in 10 patients, and thymoma resection in 1 patient. The mean operative time was (308.13±30.39) min, mechanical ventilation time was (15.42±7.42) h, ICU stay was (46.08±27.32) h, and postoperative hospital stay was (11.71±1.90) d. There were no in-hospital deaths. Postoperative complications included one patient of acute renal failure and one patient of cerebral infarction. Pre-discharge color Doppler echocardiography revealed that the left ventricular end-diastolic diameter was significantly smaller than before surgery (P<0.05), while the left ventricular ejection fraction and fractional shortening were significantly higher (P<0.05). Coronary computed tomography angiography (CTA) showed that all arterial grafts were patent. During a mean follow-up of (14.58±8.75) months, no patients experienced angina recurrence or mortality. Repeat coronary CTA or angiography in 16 patients one year postoperatively confirmed that all arterial grafts remained patent. Conclusion Total arterial OPCABG using a LITA and bilateral RAs is a safe and effective treatment for patients with severe multi-vessel coronary artery disease. For high-risk patients, intraoperative IABP support is recommended.

OBJECTIVE To comprehensively evaluate the efficacy， safety and cost-effectiveness of insulin icodec in treating type 2 diabetes mellitus （T2DM）， providing evidence-based guidance for new drug selection in hospital and clinical medication decision-making. METHODS PubMed， Cochrane Library， Embase， CNKI， Wanfang， VIP and foreign health technology assessment （HTA） websites were searched by using rapid health technology assessment from inception to 15 July 2025 for systematic reviews/meta-analyses， pharmacoeconomic studies， and HTA reports on insulin icodec in the treatment of T2DM. After data extraction and quality assessment， the findings of the included studies were analyzed descriptively. RESULTS Ten systematic reviews/meta-analyses and three pharmacoeconomic studies were included. Among them， 4 systematic reviews/meta-analyses were of high quality； the overall quality of the 3 pharmacoeconomic studies was relatively good. Regarding efficacy， insulin icodec was superior to once-daily basal insulin in reducing glycated hemoglobin （HbA1c） and in achieving the target of HbA1c＜7% （P＜0.05）. No significant differences were observed between icodec insulin and comparators in lowering fasting plasma glucose （P＞0.05）. For safety， insulin icodec did not increase the incidence of any adverse events （AEs）， serious AEs， clinically significant hypoglycemia （random glucose＜3 mmol/L）， injection-site reactions， or allergic reactions， compared with once-daily basal insulin overall （P＞ 0.05）； however， insulin icodec was associated with a significant increase in body weight （P＜0.05）. Domestic economic evaluations indicated that insulin icodec was more cost-effective than insulin glargine and insulin degludec when its annual costs were in the range of 784.90-1 145.96 and 597.66-736.34 US dollars， respectively. CONCLUSIONS Insulin icodec demonstrates favorable efficacy and safety profiles in the treatment of T2DM； however， attention should be paid to the risk of weight gain. Under China’s healthcare system， insulin icodec demonstrates greater economic value only when the patient’s weekly required basal insulin dose falls within a specific range，and clinical practice requires individualization.

Objective To analyze the prognosis of elderly patients with community-acquired pneumonia (CAP) and its correlation with serum angiopoietin 2 (Ang-2), activated protein C (APC) and pentraxin 3 (PTX3) levels. Methods A total of 508 elderly patients with CAP in the hospital from March 2021 to March 2024 were divided into death group (n=104) and survival group (n=404) according to the survival status at 28 days after admission. Another 110 healthy subjects with physical examination were included in the control group. The levels of serum Ang-2, APC and PTX3 were compared, and their correlation with prognosis was explored by Pearson correlation analysis. Results In this study, 404 cases survived after 28 days and 104 cases died. The levels of C-reactive protein, procalcitonin and interleukin-8 and the proportion of severe condition in the survival group were lower than those in the death group (P<0.05). The level of serum APC in the case group and the death group was lower than that in the control group and the survival group (P<0.05), while the levels of Ang-2 and PTX3 were higher than those in the control group and the survival group (P<0.05), respectively. Serum APC level was negatively correlated with community-acquired pneumonia in the elderly CAP (r=-0.476, P<0.05), while Ang-2 and PTX3 were positively correlated with prognosis (r=0.489, 0.502, P<0.05). Conclusion Serum levels of Ang-2 and APC in elderly patients with CAP are decreased and the level of PTX3 is increased. Serum Ang-2 and APC levels are negatively correlated with elderly CAP, and PTX3 is positively correlated with prognosis.

ObjectiveTo construct a comprehensive evaluation indicator system for clinical practice guidelines of traditional Chinese medicine （TCM） that is scientific， systematic， and reflects the characteristics of TCM. MethodsA systematic search was conducted in Chinese and English databases， including CNKI， Wanfang， VIP， SinoMed， PubMed， Embase， and Cochrane Library， to include literature on domestic and international guideline evaluation tools and TCM-related research. Document analysis and CiteSpace were utilized for keyword co-occurrence and clustering analysis. ResultsA total of 65 relevant studies were included， from which seven core thematic domains were identified. Based on the research objectives， a two-step construction strategy was adopted： first， an external evaluation framework was established by referencing international tools to cover methodological rigor and procedural standardization； second， an internal evaluation framework was developed to reflect the distinctive features of TCM clinical practice， including syndrome differentiation and efficacy feedback. Through expert consensus， the indicator system was refined， resulting in a dual-layered structure comprising 8 primary indicators， 22 secondary indicators， and 62 evaluation criteria. ConclusionThe comprehensive evaluation system for TCM clinical practice guidelines， based on bibliometric analysis and core element extraction， integrates both theoretical integrity and practical applicability. This study provides a preliminary research foundation for further optimization， validation， and development of a refined comprehensive evaluation system.

BACKGROUND: The transcription factor POU2F1 regulates the expression levels of microRNAs in neoplasia. However, the miR-29b1/a cluster modulated by POU2F1 in gastric cancer (GC) remains unknown. METHODS: Gene expression in GC cells was evaluated using reverse-transcription polymerase chain reaction (PCR), western blotting, immunohistochemistry, and RNA in situ hybridization. Co-immunoprecipitation was performed to evaluate protein interactions. Transwell migration and invasion assays were performed to investigate the biological behavior of GC cells. MiR-29b1/a cluster promoter analysis and luciferase activity assay for the 3'-UTR study were performed in GC cells. In vivo tumor metastasis was evaluated in nude mice. RESULTS: POU2F1 is overexpressed in GC cell lines and binds to the miR-29b1/a cluster promoter. POU2F1 is upregulated, whereas mature miR-29b-3p and miR-29a-3p are downregulated in GC tissues. POU2F1 promotes GC metastasis by inhibiting miR-29b-3p or miR-29a-3p expression in vitro and in vivo . Furthermore, PIK3R1 and/or PIK3R3 are direct targets of miR-29b-3p and/or miR-29a-3p , and the ectopic expression of PIK3R1 or PIK3R3 reverses the suppressive effect of mature miR-29b-3p and/or miR-29a-3p on GC cell metastasis and invasion. Additionally, the interaction of PIK3R1 with PIK3R3 promotes migration and invasion, and miR-29b-3p , miR-29a-3p , PIK3R1 , and PIK3R3 regulate migration and invasion via the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway in GC cells. In addition, POU2F1 , PIK3R1 , and PIK3R3 expression levels negatively correlated with miR-29b-3p and miR-29a-3p expression levels in GC tissue samples. CONCLUSIONS The POU2F1 - miR-29b-3p / miR-29a-3p-PIK3R1 / PIK3R1 signaling axis regulates tumor progression and may be a promising therapeutic target for GC.
MicroRNAs/metabolism* ; Humans ; Stomach Neoplasms/pathology* ; Cell Line, Tumor ; Cell Movement/physiology* ; Phosphatidylinositol 3-Kinases/metabolism* ; Animals ; Mice ; Octamer Transcription Factor-1/metabolism* ; Mice, Nude ; Class Ia Phosphatidylinositol 3-Kinase/metabolism* ; Neoplasm Invasiveness ; Gene Expression Regulation, Neoplastic/genetics* ; Male ; Immunohistochemistry ; Female

As a new type of production factor that can empower the development of new quality productivity, the data element is an important engine to promote the high quality development of the industry. Traditional Chinese medicine(TCM) dispensing is the most basic work of TCM clinical pharmacy, and its quality directly affects the clinical efficacy of TCM. The integration of data elements and TCM dispensing can stimulate the innovation and vitality of the TCM dispensing industry and promote the high-quality and sustainable development of the industry. A large-scale, detailed, and systematic study on TCM dispensing was conducted. The innovative practice path of data fusion construction in the whole process of TCM dispensing was investigated by integrating the digital resources "nine full activities" of TCM dispensing, creating the digital dictionary of "TCM clinical information data elements", and exploring innovative applications of TCM dispensing driven by data and technology, so as to promote the standardized, digital, and intelligent development of TCM dispensing in medical health services. The research content of this project was successfully selected as the second batch of "Data element×" typical cases of National Data Administration in 2024, which is the only selected case in the field of TCM.
Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal ; Humans