Objective:To collect registered clinical research plans on TCM characteristic therapies for treating cervical spondylosis; To explore their research registration status; To provide references for future clinical trial registration and implementation.Methods:Clinical research on TCM characteristic therapies for treating cervical spondylosis was retrieved from ChiCTR, ITMCTR and Clinical Trials. gov from the establishment of the databases to July 1, 2024. Excel 2019 was used to conduct descriptive statistics on registration time, registration area and institution, funding source, research type and design scheme, research participation center and sample size, cervical spondylosis type, intervention measures, outcome indicators, reporting quality, research openness and methodological application.Results:A total of 138 clinical trials for the TCM treatment of cervical spondylosis were included, of which 136 were registered by domestic researchers in 22 provincial-level administrative regions. The top three in terms of registration numbers were Shanghai, Guangdong Province, and Beijing. Additionally, 2 were registered by foreign researchers in Egypt and Malaysia. The main sources of funding were 50 local finances, followed by 26 hospital subsidies and 18 national finances. The intervention research accounted for the largest proportion of research types, with 123 items (89.13%). The research center mainly focused on single center studies (98 projects). Most randomized controlled trials (115 trials) described randomization methods, while a small number of randomized controlled trials (50 trials) indicated blinding. The intervention measures were mostly combined with TCM therapy, and the outcome indicators were mainly efficacy indicators, with fewer safety indicators.Conclusions:At present, clinical trial registrations for TCM treatment of cervical spondylosis are increasing, but issues remain, such as poor study design, uneven distribution, and incomplete information. It is recommended to refine registration details, optimize study protocols, and promote high-quality clinical research.

Objective To investigate the clinical efficacy of Pinggan Capsules(composed of six Chinese herbs,i.e.Gentianae Radix et Rhizoma,Prunellae Spica,Rehmanniae Radix,Gastrodiae Rhizoma,Gardeniae Fructus and Plantaginis Herba)in treating patients with hypertension complicated with anxiety and depression of liver-yang hyperactivity type,and to explore the related influencing factors of efficacy.Methods A total of 150 patients diagnosed as hypertension complicated with anxiety and depression of liver-yang hyperactivity type treated at Guangdong Second Traditional Chinese Medicine Hospital from January 2022 to January 2023 were enrolled.The patients were randomly divided into the trial group and the control group using a random number table,with 75 cases in each group.The control group received conventional medicine treatment(Amlodipine Besylate Tablets plus Losartan Potassium Tablets),while the trial group received Pinggan Capsules in addition to the conventional treatment.The treatment for the two groups lasted for 8 weeks.Before and after treatment,the changes in blood pressure,Self-Rating Anxiety Scale(SAS)scores,Self-Rating Depression Scale(SDS)scores,and scores of each domain of World Health Organization Quality of Life-BREF(WHO-QOL-BREF)were observed in the two groups.Antihypertensive efficacy,TCM syndrome efficacy,and drug safety in the two groups were evaluated,and the main factors influencing the efficacy of Pinggan Capsules were analyzed.Results(1)During the treatment period,6 cases dropped out from the trial group and 4 cases dropped out from the control group.A total of 140 patients completed the full course of treatment,including 69 in the trial group and 71 in the control group.(2)After 8 weeks of treatment,the total effective rate for antihypertensive efficacy in the trial group was 89.86%(62/69),significantly higher than that in the control group[64.79%(46/71)].The intergroup(tested by chi-square test)showed that the antihypertensive efficacy of the trial group was significantly superior to that of the control group(P＜0.05).(3)After 8 weeks of treatment,the total effective rate for TCM syndrome efficacy in the trial group was 92.75%(64/69),significantly higher than that in the control group[66.20%(47/71)].The intergroup(tested by chi-square test)showed that the TCM syndrome efficacy of the trial group was significantly superior to that of the control group(P＜0.05).(4)After treatment,systolic blood pressure and diastolic blood pressure were improved in both groups compared to those before treatment(P＜0.05),and the improvement in the trial group was significantly superior to that in the control group(P＜0.05).(5)After treatment,the scores of all domains(physical,psychological,social relationships,and environmental)of WHO-QOL-BREF scale were significantly improved in both groups compared to those before treatment(P＜0.05),and the improvement in the trial group was significantly superior to in the control group(P＜0.05).(6)After treatment,SAS and SDS scores were significantly improved in both groups compared to those before treatment(P＜0.05),and the improvement in the trial group was significantly superior to that in the control group(P＜0.05).(7)No significant adverse reactions occurred in either group during the treatment period,indicating high safety.(8)Sankey diagram and correspondence analysis showed that patients aged＜65 years,male,grade 1 hypertension,mild anxiety,and mild depression achieved significant hypotensive effect and symptom-relief effect(P＜0.05).Conclusion Pinggan Capsules have significant clinical efficacy in treating hypertension complicated with anxiety and depression of liver-yang hyperactivity type and is worthy of clinical promotion and application.

Objective To evaluate the effectiveness of thermal tomography in breast cancer (BC) screening. Methods We conducted a general population-based BC screening in three regions of Hubei Province (Xiantao, Hongan, and Yangxin Districts). Participants underwent a questionnaire-based interview for baseline data collection. They then received a physical examination, thermal tomography, and ultrasound from doctors and technicians. We compared the efficacies, including sensitivity, specificity, and false-positive rates, of ultrasound and thermal tomography in BC screening. Results A total of 59 712 eligible women were included in this screening program. The BI-RADS 1, 2, 3, 4, and 5 accordance rates between the two screening methods were 0.9549, 0.8047, 0.9037, 0.3352, and 0, respectively. The overall accordance rate was 0.933 1. The kappa consistency results showed that the Cicchetti-Allison and Fleiss-Cohen kappa values were 0.7970 and 0.8583, respectively. Although the two methods had equal sensitivities, specificity was higher in thermal tomography than in ultrasound. The false-positive rate was lower in thermal tomography than in ultrasound. The area under the receiver operating characteristic (ROC) curve of thermal tomography was significantly larger than that of ultrasound. Conclusion The general consistency between thermal tomography and ultrasound in BC screening was high. Thermal tomography outperformed ultrasound in terms of specificity and diagnostic efficiency. Therefore, thermal tomography has a high application value for general population-based BC screening.

Objective To explore the risk factors of acute respiratory failure(ARF)in adult patients with community-acquired pneu-monia(CAP),and thereby construct and validate the efficacy of nomogram model.Methods The clinical and laboratory data of 172 adult CAP patients admitted to Taikang Xianlin Drum Tower Hospital affiliated to Nanjing University School of Medicine from January 2018 to December 2021 were retrospectively collected.The patients were divided into two groups based on whether they had concurrent ARF.After the comparison for the differences of single factor between the two groups,collinearity analysis was assessed.The risk fac-tors were then screened by binary logistic regression analysis with forward stepwise regression method.A nomogram model was subse-quently constructed and the discrimination and accuracy of the model were evaluated by ROC and colibration curves.Results Among the 172 CAP patients,53 cases(30.8％)developed ARF.The results of univariate analysis showed that the CAP patients with concur-rent ARF group had higher age,CURB-65 score and inflammatory markers than the non-concurrent ARF group,and the incidence of complex infection(culturing two or more pathogenic bacteria)was high.The values of CRP(C-reactive protein)and BUN/Alb(blood urea nitrogen/albumin)were significantly different between the two groups(53.910[25.900,101.200]vs.23.300[6.800,48.930],0.231[0.160,0.302]vs.0.123[0.089,0.171],P＜0.05).Multivariate analysis indicated:glucose(Glu)≥6.06 mmol/L(odds ra-tio(OR):2.737,95％confidence interval(CI):1.116-7.037),AST(aspartate aminotransferase)≥22.5 U/L(OR:4.291,95％CI:1.779-11.120),fibrinogen(Fib)≤3.83 g/L(OR:3.955,95％CI:1.631-10.237),uric acid(UA)188.07 μmol/L(OR:4.617,95％CI:1.859-12.489),BUN/Alb≥0.15 mmol/g(OR:6.381,95％CI:2.423-18.513),total number of multicomor-bidity≥3(OR:6.191,95％CI:2.088-21.905)were the risk factors(P＜0.05).All the screened indicators were incorporate into the nomogram model and its efficacy was verified.The results showed that the area under the curve of the model was 0.888[95％CI:0.840-0.935](P＜0.05),the sensitivity was 0.868,and the specificity was 0.790.The calibration curve showed that the predicted probability of adult CAP patients-associated with ARF was in good consistency with the observed probability(Briser Score:0.125;H-L test:x2=7.563,P=0.477).Conclusion The established model has a good ability to predict adult CAP associated with ARF,and can provide a reference basis for early clinical prediction and intervention treatment.

Objective:To investigate the analgesic effect of Opisthoplatia orientalis Burm. polypeptides (OOBP) on postherpetic neuralgia (PHN) induced by resiniferatoxin (RTX) in rat models, and its effect on the phosphatase and tensin homologue deleted on chromosome ten (PTEN) -induced kinase 1/Parkin (PINK1/Parkin) signaling pathway. Methods:Thirty-two special pathogen-free rats were randomly divided into 2 groups: a blank control group ( n = 8) receiving intraperitoneal injections of physiological saline (0.20 mg/kg) , and a model group ( n = 24) receiving intraperitoneal injections of RTX (0.20 mg/kg) to establish the PHN rat model. The rats' paw withdrawal mechanical threshold (PWMT) was measured on days 1, 4, 7, and 10 after RTX injections. After 10 days of RTX treatment, rat models were randomly assigned to 3 subgroups: PHN group, OOBP group, and gabapentin group, with 8 rats in each group. The OOBP group and gabapentin group were gavaged with OOBP (equivalent to 0.9 g raw drug per kg) and gabapentin (27 mg/kg) respectively, while the PHN group and control group were gavaged with physiological saline. All treatments lasted for 3 weeks, during which PWMT was continuously monitored. One hour after the final dose, rats were sacrificed, and spinal cord tissues and serum samples were collected. Hematoxylin-eosin (HE) staining was performed to observe spinal pathological changes, enzyme-linked immunosorbent assay (ELISA) to detect serum levels of interleukin-10 (IL-10) , tumor necrosis factor-α (TNF-α) , β-endorphin (β-EP) , and calcitonin gene-related peptide (CGRP) , and Western blot analysis to determine the expression of PINK1, Parkin, and ubiquitin-binding protein P62 in rat spinal cord tissues. The entropy weight method was applied to comprehensively evaluate the effect of OOBP on the above cytokines, proteins and other pharmacodynamic indicators in rat models of PHN. Results:From day 1 to day 10 after modeling, PWMT values in the model group were significantly lower than those in the blank control group (all P < 0.05) , and also significantly lower than baseline values prior to modeling (all P < 0.05) . Histopathological analysis of rat spinal cord tissues showed less pathological changes (such as Nissl body swelling and neuronal necrosis) but more normal Nissl bodies in both the gabapentin group and OOBP group compared with the PHN group. ELISA revealed significantly decreased serum levels of TNF-α and CGRP but significantly increased serum levels of β-EP and IL-10 in the OOBP group compared with the PHN group (all P < 0.05) . Western blot analysis showed that expression levels of PINK1 and Parkin were significantly lower in the gabapentin group (0.441 ± 0.061, 0.597 ± 0.180, respectively) and the OOBP group (0.666 ± 0.117, 0.481 ± 0.073, respectively) than in the PHN group (1.033 ± 0.085, 1.088 ± 0.040, respectively, all P < 0.05) ; in contrast, the P62 expression significantly increased in the gabapentin group (0.810 ± 0.086) and OOBP group (0.902 ± 0.153) compared with the PHN group (0.543 ± 0.082, both P < 0.05) . The entropy weight analysis showed that the comprehensive scores were 0.222 and 0.229 in the OOBP group and the gabapentin group respectively, suggesting a greater overall therapeutic effect of OOBP. Conclusion:OOBP may exert analgesic effects in rat models of PHN by downregulating the expression of inflammatory factors and pain-related factors and modulating the PINK1/Parkin signaling pathway, thereby inhibiting mitochondrial autophagy in spinal neurons and reducing inflammatory responses.

Objective:To describe the hotspots and application trends of artificial intelligence (AI) in epidemiology in the past decade and analyze its advantages and challenges.Methods:The literatures with AI and epidemiology related keywords were systematically retrieved from Web of Science and China National Knowledge Infrastructure from 2014 to 2024. CiteSpace was used for bibliometric analysis of publication volume, keyword co-occurrence, clustering, emergence and cited literature co-occurrence analysis.Results:A total of 5 389 English papers and 1 659 Chinese papers were included, showing an increasing publication trend. High-frequency Chinese keywords included prediction, influencing factor, and machine learning, while English keywords frequently used were machine learning, prediction, and artificial intelligence. The Chinese keywords formed 14 clusters such as epidemiological characteristic, dietary pattern, and elderly individual, and the English keywords formed 21 clusters including prediction model, risk factor, and adult. In international studies, health policy, COVID-19, and digital health were the emerging frontier keywords. Eleven core papers were selected, covering key areas like traffic accident risk assessment, public health big data application, and deep learning in medical diagnosis.Conclusions:This study systematically summarized the research hotspots and development trends of AI applications in epidemiology over the past decade by using bibliometric methods, which indicated that current AI-based epidemiological studies are still in the exploratory phase, with the coexisting of both advantages and challenges. Continued attention should be paid to the future development of this field.

Objective To develop an instrument for predicting postoperative constipation risks in patients with osteoporotic thoracolumbar fracture(OTLF)who have undergone percutaneous kyphoplasty(PKP).Methods A total of 858 OTLF patients who underwent PKP surgery between January 2020 and December 2024 were enrolled.The patients were randomly assigned to a training set(n=600)and a validation set(n=258)in a 7∶3 ratio.According to whether the patients had postoperative constipation,the training set was divided into a constipation group(n=205)and a non-constipation group(n=395),and the validation set was divided into a constipation group(n=90)and a non-constipation group(n=168).Logistic regression analysis was conducted to analyze the factors influencing postoperative constipation in OTLF patients after PKP,and a nomogram model was constructed accordingly.The receiver operating characteristic(ROC)curve and the calibration curve of the model were plotted,and the Hosmer-Lemeshow test for goodness of fit was performed.Results A total of 205 OTLF patients(34.17%)in the training set and 90 OTLF patients(34.88%)in the validation set experienced constipation after PKP.Univariate analysis revealed significant differences between the constipation and non-constipation groups in terms of operative time,postoperative water intake,time to first postoperative meal,postoperative bed rest time,the levels of Bifidobacterium,Lactobacillus,Enterococcus,and Enterobacter,the Nutrition Risk Screening 2002(NRS-2002)score,and the levels of sodium,potassium,and HbA1c(P<0.05).Least absolute shrinkage and selection operator(LASSO)regression was performed and operative time,time to first postoperative meal,the levels of Bifidobacterium,Lactobacillus,Enterococcus,and Enterobacter,the NRS-2002 score,and the levels of sodium,potassium,and HbA1c were identified as candidate predictors.Multivariate logistic analysis showed that the time to first postoperative meal,the levels of Bifidobacterium and Lactobacillus,the NRS-2002 score,and the levels of sodium and HbA1c were influencing factors of postoperative constipation in OTLF patients(P<0.05).The ROC curves showed that the area under the curve(AUC)of the training set was 0.842(95%CI:0.793-0.892),while that of the validation set was 0.860(95%CI:0.830-0.889).The calibration curves demonstrated good agreement between the prediction curve and the standard curve in both the training set and the validation set.Conclusion The time to the first postoperative meal,the NRS2002 score,and the levels of Bifidobacterium,Lactobacillus,sodium,and HbA1c are influencing factors of post-PKP constipation in OTLF patients.The nomogram model built based on these factors exhibited good predictive performance.

BACKGROUND:Research has shown that vanillic acid has anti-inflammatory and anti-oxidative stress effects,but it is unclear whether it has a protective effect on endplate chondrocytes.OBJECTIVE:To explore the effect and mechanism of vanillic acid on endplate chondrocytes under inflammatory microenvironment.METHODS:(1)Primary endplate chondrocytes were isolated from the intervertebral disc of SD rats and identified by toluidine blue staining and collagenⅡ immunofluorescence.(2)The CCK-8 assay was employed to detect the effects of interleukin-1β and vanillic acid on the proliferation activity of endplate chondrocytes,in order to determine the concentration of vanillic acid for subsequent cell treatment.(3)An inflammatory microenvironment was simulated by adding 10 ng/mL interleukin-1β to the culture medium,and the endplate chondrocytes were treated with low,medium,and high mass concentrations of vanillic acid.The expression levels of inflammatory markers and extracellular matrix proteins were detected by western blot assay and immunofluorescence.(4)The expression of nuclear factor κB signaling pathway-related proteins was detected by western blot assay.RESULTS AND CONCLUSION:(1)The morphology of endplate chondrocytes in adherent culture was pike or triangular in shape,positive for toluidine blue staining and immunofluorescence for collagen Ⅱ,indicating that the experimentally extracted cells were endplate chondrocytes.(2)The CCK-8 assay results showed that treatment with 2.5,5,10,and 20 μg/mL vanillic acid for 24 hours did not significantly inhibit the proliferation of endplate chondrocytes.Compared with the interleukin-1β group,the viability of endplate chondrocytes treated with 5,10,and 20 μg/mL vanillic acid for 24 hours was significantly increased(P＜0.05).Therefore,5,10,and 20 μg/mL vanillic acid was selected as the low,medium,and high dose groups for subsequent treatment of endplate chondrocytes.(3)Compared with the model group(complete medium containing 10 ng/mL interleukin-1β),the expression of NOD-like receptor thermal domain associated protein 3(NLRP3),matrix metalloproteinase 13,matrix metalloproteinase 3,and tumor necrosis factor alpha protein in the endplate chondrocytes of the low,medium,and high doses of vanillic acid groups were significantly reduced(P＜0.05).(4)Compared with the model group,the protein expression of aggrecan and collagen Ⅱ in the endplate chondrocytes of the low,medium,and high dose groups of vanillic acid significantly increased(P＜0.05).(5)Compared with the model group,the protein expression of phospho-nuclear factor κB and phospho-inhibitor of nuclear factor κB in the endplate chondrocytes of the low,medium,and high dose groups of vanillic acid was significantly reduced(P＜0.05).(6)The above results indicate that vanillic acid may alleviate the inflammatory response and extracellular matrix degradation induced by interleukin-1β in rat endplate chondrocytes by inhibiting the activation of the nuclear factor κB signaling pathway.

The emergence of artificial intelligence(AI)has had a significant impact on medical research and practice,both in terms of the number of studies and research paradigms,and has become an important tool for the development of pharmacoepidemiology.However,traditional AI has faced many challenges,while facilitating pharmacoepidemiology research,such as complex data processing,difficulty in identifying drug exposures and potential outcomes,and time-consuming and laborious study design and implementation.The rapid development of generative AI,represented by large language models(LLMs),has demonstrated a unique potential to enhance research efficiency,shift research paradigms,and facilitate knowledge discovery.LLMs are equipped with natural language understanding and generation capabilities.Through deep mining of multi-dimensional data resources,LLMs can quickly and accurately extract,analyze,summarize,and present the required information,which can not only help drug discovery,drug repurposing,pharmacovigilance and other pharmacoepidemiological tasks,but also provide powerful support for the whole process of research protocol design,data analysis,result interpretation and paper publication.Driven by LLMs,pharmacoepidemiology research is gradually moving into a new stage based on big data and automated analysis.Of course,LLMs also have problems of data bias,"illusion"of results,and ethical and legal regulation.By strengthening interdisciplinary cooperation,establishing a standardized evaluation system,improving ethical and regulatory guidance,enhancing data quality,strengthening practitioner training and capacity building,and promoting human-machine collaborative research modes,it is expected that the potential of LLMs in pharmacoepidemiology will be fully released,and it will provide a more scientific,rapid,and efficient technological support for drug regulation and public health decision-making.

Objective:To describe the hotspots and application trends of artificial intelligence (AI) in epidemiology in the past decade and analyze its advantages and challenges.Methods:The literatures with AI and epidemiology related keywords were systematically retrieved from Web of Science and China National Knowledge Infrastructure from 2014 to 2024. CiteSpace was used for bibliometric analysis of publication volume, keyword co-occurrence, clustering, emergence and cited literature co-occurrence analysis.Results:A total of 5 389 English papers and 1 659 Chinese papers were included, showing an increasing publication trend. High-frequency Chinese keywords included prediction, influencing factor, and machine learning, while English keywords frequently used were machine learning, prediction, and artificial intelligence. The Chinese keywords formed 14 clusters such as epidemiological characteristic, dietary pattern, and elderly individual, and the English keywords formed 21 clusters including prediction model, risk factor, and adult. In international studies, health policy, COVID-19, and digital health were the emerging frontier keywords. Eleven core papers were selected, covering key areas like traffic accident risk assessment, public health big data application, and deep learning in medical diagnosis.Conclusions:This study systematically summarized the research hotspots and development trends of AI applications in epidemiology over the past decade by using bibliometric methods, which indicated that current AI-based epidemiological studies are still in the exploratory phase, with the coexisting of both advantages and challenges. Continued attention should be paid to the future development of this field.