To interpret the evidence-to-decision （EtD） framework and to illustrate its application in traditional Chinese medicine （TCM） guideline development using the example of the Pharmacovigilance Guideline of Chinese Patent Medicine， thereby providing methodological references for TCM guideline standardization. Based on the core three stages of the EtD framework （formulating the question， making an assessment of the evidence， and drawing conclusions）， critical decision points and evaluation evidence within the evidence-translation process were systematically addressed， aligning with the purpose， scope， and key questions of the guideline. Qualitative research methods， such as the nominal group technique， were employed to formulate recommendations. The analysis was conducted based on the EtD framework. During question formulation， the specific characteristics and practical needs of pharmacovigilance for Chinese patent medicines were clarified， focusing on the core objective of safety assurance throughout the product lifecycle. In the evidence assessment， multi-source evidence was integrated， including policy documents， literature research， and expert consensus， completing the evidence evaluation. Finally， in recommendation-forming， dispersed research evidence and expert experience were synthesized into consensus， culminating in the guideline's completion through solicitation of opinions and peer review. The EtD framework provides a structured tool for evidence-to-decision translation in TCM guideline development， effectively enhancing the transparency and scientific rigor of the process. Therefore， it is recommended that TCM guideline development adopt the EtD framework to improve the evidence-to-decision process with TCM characteristics.

To interpret the evidence-to-decision （EtD） framework and to illustrate its application in traditional Chinese medicine （TCM） guideline development using the example of the Pharmacovigilance Guideline of Chinese Patent Medicine， thereby providing methodological references for TCM guideline standardization. Based on the core three stages of the EtD framework （formulating the question， making an assessment of the evidence， and drawing conclusions）， critical decision points and evaluation evidence within the evidence-translation process were systematically addressed， aligning with the purpose， scope， and key questions of the guideline. Qualitative research methods， such as the nominal group technique， were employed to formulate recommendations. The analysis was conducted based on the EtD framework. During question formulation， the specific characteristics and practical needs of pharmacovigilance for Chinese patent medicines were clarified， focusing on the core objective of safety assurance throughout the product lifecycle. In the evidence assessment， multi-source evidence was integrated， including policy documents， literature research， and expert consensus， completing the evidence evaluation. Finally， in recommendation-forming， dispersed research evidence and expert experience were synthesized into consensus， culminating in the guideline's completion through solicitation of opinions and peer review. The EtD framework provides a structured tool for evidence-to-decision translation in TCM guideline development， effectively enhancing the transparency and scientific rigor of the process. Therefore， it is recommended that TCM guideline development adopt the EtD framework to improve the evidence-to-decision process with TCM characteristics.

With the continuous development of new surgical technology, new equipment and new concepts, the research focused in the field of surgery is also in constant change. Among them, there are still confusion and controversies in the current clinical practice when facing the one-stop proposition of benefit population screening, advantageous surgical indication decision-making, surgical intervention timing selection, postoperative complication prediction and management. Therefore, our team tries to analyze whether the concept of"co-management of liver and pancreas"exists in clinical practice from the aspects of anatomy, physiology, histology and embryology of liver and pancreas, as well as the interaction between liver and pancreas, and explore the relationship between liver and pancreas in anatomy and tissue embryonic development, and the relationship between the concept of"co-management of liver and pancreas"and pancreatitis and pancreatic tumors as well as the concept of “co-management of liver and pancreas” applied in neoadjuvant chemoradiotherapy, and attempts to establish a new treatment pathway for pancreatic diseases based on this concept, in order to provide a new idea, new scheme and new possibility for the clinical research of pancreatic diseases and pancreatic surgery.

With the continuous development of new surgical technology, new equipment and new concepts, the research focused in the field of surgery is also in constant change. Among them, there are still confusion and controversies in the current clinical practice when facing the one-stop proposition of benefit population screening, advantageous surgical indication decision-making, surgical intervention timing selection, postoperative complication prediction and management. Therefore, our team tries to analyze whether the concept of"co-management of liver and pancreas"exists in clinical practice from the aspects of anatomy, physiology, histology and embryology of liver and pancreas, as well as the interaction between liver and pancreas, and explore the relationship between liver and pancreas in anatomy and tissue embryonic development, and the relationship between the concept of"co-management of liver and pancreas"and pancreatitis and pancreatic tumors as well as the concept of “co-management of liver and pancreas” applied in neoadjuvant chemoradiotherapy, and attempts to establish a new treatment pathway for pancreatic diseases based on this concept, in order to provide a new idea, new scheme and new possibility for the clinical research of pancreatic diseases and pancreatic surgery.

AIM: To investigate the correlation between different severity grades of obstructive sleep apnea-hypopnea syndrome(OSAHS)and visual field defects as well asvisual evoked potential(VEP)parameters in patients with anterior ischemic optic neuropathy(AION). METHODS: A retrospective case-control study. Patients diagnosed with AION complicated by OSAHS at the Department of Ophthalmology, the Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, between June 2022 and October 2025 were selected as the study subjects. According to the AHI and mSaO2, the patients were divided into three groups: a mild group(AHI 5-15 events/h, mSaO2 85%-90%), moderate group(AHI 16-30 events/h, mSaO2 80%-85%), and severe group(AHI >30 events/h, mSaO2 <80%). General demographic data, retinal nerve fiber layer(RNFL)thickness, visual field defect indicators including mean defect(MD)and pattern standard deviation(PSD), as well as VEP parameters(P100 latency and amplitude)were compared among the three groups. RESULTS: This study included a total of 110 patients with AION complicated by OSAHS. Based on the severity of OSAHS, the patients were divided into a mild group of 37 patients(21 men and 16 women, mean age 62.15±9.37 y), a moderate group of 35 patients(20 men, 15 women; mean age 61.82±8.94 y), and a severe group of 38 patients(22 men, 16 women; mean age 63.02±9.61 y). There were no significant differences among the three groups in terms of age, sex, TG, TC, LDL-C, HDL-C levels, or AION severity(all P>0.05); however, there were significant differences in history of hypertension, history of diabetes, systolic blood pressure, diastolic blood pressure, and FPG levels(all P<0.05). The mean RNFL thickness in the severe group(63.27±5.58 μm)was significantly lower than that in the moderate group(74.14±6.28 μm)and the mild group(83.22±7.02 μm), and the moderate group was lower than the mild group(all P<0.05); The MD value(-11.57±1.82 dB)and PSD value(7.35±0.87 dB)in the severe group were both higher than those in the moderate group [(-7.62±1.31 dB),(4.89±0.62 dB)] and the mild group [(-4.38±1.05 dB),(2.57±0.45 dB)](all P<0.05); the P100 latency in the severe group(132.41±8.57 ms)was longer than that in the moderate group(118.75±7.32 ms)and the mild group(105.62±6.14 ms), and the amplitude(7.65±1.53 μV)was lower than that of the moderate group(11.24±1.89 μV)and the mild group(15.38±2.11 μV)(all P<0.05). Spearman's correlation analysis revealed that the severity of OSAHS was negatively correlated with the MD value(rs=-0.901, P<0.05)and positively correlated with the PSD value and P100 latency(rs=0.947, 0.807, P<0.05), and was negatively correlated with P100 amplitude(rs=-0.878, P<0.05). CONCLUSION:The severity of OSAHS is closely associated with RNFL thickness, visual field defects, and VEP parameters in patients with AION; the more severe the OSAHS, the more pronounced the structural and functional damage to the optic nerve. Monitoring AHI and mSaO2 can aid in assessing the condition of patients with AION and developing personalized intervention plans.

Modern cataract surgery has completely moved beyond the traditional vision-restoring model and has fully entered a new era of refractive cataract surgery(RCS)centered on precise refractive correction. Its core objective is to provide patients with personalized visual experiences characterized by full-range, clear, and comfortable vision. Currently, although diagnostic and therapeutic technologies for RCS are rapidly evolving, there remain many bottlenecks in the precise management of the entire perioperative process that urgently need to be addressed. Preoperatively, the measurement consistency among ocular biometry devices based on different detection principles remains poor, and systematic measurement errors cannot be completely eliminated. Moreover, the individualized selection of intraocular lenses(IOLs)relies heavily on surgeons' clinical experience, lacking a standardized quantitative decision-making framework, which makes it difficult to achieve precise personalized matching. Intraoperatively, the quality of continuous curvilinear capsulorhexis is affected by multiple factors such as ocular anatomical characteristics and surgical proficiency, and its stability cannot be reliably ensured. Various intelligent surgical navigation systems are compromised by intraoperative ocular conditions, and their clinical performance fails to meet theoretical expectations. At the postoperative stage, existing IOL optical designs and materials have inherent limitations. The longterm prevention and control of posterior capsule opacification(PCO)remains a core factor restricting patients' long-term high-quality visual outcomes. This article systematically reviews the precise diagnostic and therapeutic challenges and core bottlenecks across the preoperative, intraoperative, and postoperative stages of RCS. It further explores frontier technological directions—including cross-device error compensation models, artificial intelligence-assisted decision-making, preoperative VR-based visual simulation, and the construction of intelligent surgical ecosystem platforms—to delineate targeted solutions and optimization pathways. This review aims to provide references and insights for the standardized clinical implementation, technological innovation, and future research endeavors in precision diagnosis and treatment of RCS.

The plants of the genus Caragana Fabr. are desert plants of the Leguminosae family, which are widely used in traditional ethnomedicine, with the effects of nourishing Yin and nourishing blood, dispelling wind and removing dampness, clearing heat and detoxifying toxins. The anti-inflammatory effect of Caragana Fabr. has attracted much attention, the research on the related mechanism has made some progress, but it lacks systematic collation. By summarising the anti-inflammatory effects of the active ingredients of Caragana Fabr., the authors found that they have good anti-inflammatory activities on different inflammatory cell models in vitro, and have good improvement effects on rheumatoid arthritis, colitis, complex nephritis, and acute lung injury and other disease models. The anti-inflammatory effects of the active components of this genus mainly include the reduction of the levels of a variety of pro-inflammatory factors, and the signalling pathways involved mainly include TLR4/NF-κB, TLR4/MAPK, TLR4/NF-κB/IRF3, JAK/STAT-1, ERK/STAT-1 and so on. Therefore, the paper mainly reviews the research progress on the anti-inflammatory effects and mechanisms of the Caragana Fabr. plants and their active components according to disease types, with a view to providing reference for the in-depth study of their anti-inflammatory activities and the development of new products with related functions.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.