ObjectiveTo explore the effectiveness of traditional Chinese medicine （TCM） chronic disease management programme in preventing postoperative recurrence of colorectal polyps. MethodsThe clinical data of 447 postoperative colorectal polyp patients were retrospectively collected， and the patients were divided into an exposure group and a control group taking the acceptance of TCM chronic disease management programme as exposure factor， and the polyp recurrence rate as the main outcome indicator， comparing the differences in baseline characteristics， outcome events， and safety assessment between the two groups， and conducting correlation analysis between the length of medication and polyp recurrence. Multifactorial logistic regression was used to analyse the effects of receiving the TCM chronic disease management programme （TCM treatment and life management for spleen deficiency and dampness stasis syndrome， dampness and stasis obstruction in collaterals syndrome， and intestinal dampness and heat syndrome）， gender， age， co-morbidities， TCM syndrome， and dietary and exercise factors on the outcome events. ResultsAmong 257 postoperative patients with colorectal polyps， there were 172 in the exposure group and 85 in control group. The recurrence rate of polyps in exposure group was 22.7% （39/172）， while the recurrence rate in control group was 57.6% （49/85）， and the difference between groups was statistically significant （P＜0.01）. The diameter of recurrent polyps in exposure group （median= 4.0 mm） was smaller than that in control group （median= 5.0 mm， P＜0.01）. The correlation analysis between the duration of medication taking and the recurrence of polyps in the spleen deficiency and dampness stasis syndrome group showed Phi value as -0.345 （P＜0.001）； the correlation analysis within the group of dampness and stasis obstruction in collaterals syndrome showed Phi value as -0.361 （P＜0.05）， indicating a negative correlation between the duration of medication taking and polyp recurrence. The results of multivariate logistic regression analysis indicated that the positive effect of accepting TCM chronic disease management programme on preventing polyp recurrence is statistically significant （OR=0.224， P＜0.01）. ConclusionAccepting TCM chronic disease management programme for colorectal polyps can help reducing the recurrence rate after polyp surgery， which is a protective factor for patients to the outcome event.

Objective:To evaluate the accuracy of the oral healthcare information provided by different large language models (LLM) to explore their feasibility and limitations in the application of oral auxiliary, treatment and health consultation.Methods:This study designed eight items comprising 47 questions in total related to the diagnosis and treatment of oral diseases [to assess the performance of LLM as an artificial intelligence (AI) medical assistant], and five items comprising 35 questions in total about oral health consultations (to assess the performance of LLM as a simulated doctor). These questions were answered individually by the five LLM models (Erine Bot, HuatuoGPT, Tongyi Qianwen, iFlytek Spark, ChatGPT). Two attending physicians with more than 5 years of experience independently rated the responses using the 3C criteria (correct, clear, concise), and the consistency between the raters was assessed using the Spearman rank correlation coefficient, and the Kruskal-Wallis test and Dunn post hoc test were used to assess the statistical differences between the models. Additionally, this study used 600 questions from the 2023 dental licensing examination to evaluate the time taken to answer, scores, and accuracy of each model.Results:As an AI medical assistant, LLM can assist doctors in diagnosis and treatment decision-making, with an inter-evaluator Spearman coefficient of 0.505 ( P<0.01). As a simulated doctor, LLM can carry out patient popularization, with an inter-evaluator Spearman coefficient of 0.533 ( P<0.01). The 3C scores of each model as an AI medical assistant and a simulated doctor were respectively: 2.00 (1.00, 3.00) and 2.00 (2.00, 3.00) points of Erine Bot, 1.00 (1.00, 2.00) and 2.00 (1.00, 2.00) points of HuatuoGPT, 2.00 (1.00, 2.00) and 2.00 (1.00, 3.00) points of Tongyi Qianwen, 2.00 (1.00, 2.00) and 2.00 (1.75, 2.25) points of iFlytek Spark, 3.00 (2.00, 3.00) and 3.00 (2.00, 3.00) points of ChatGPT (full score of 4 points). The Kruskal-Wallis test results showed that, as an AI medical assistant or a simulated doctor, there were statistically differences in the 3C scores among the five large language models (all P<0.001). The average score of the 5 LLMs on the dental licensing examination was 370.2, with an accuracy rate of 61.7% (370.2/600) and a time consumption of 94.6 min. Specifically, Erine Bot took 115 min, scored 363 points with an accuracy rate of 60.5% (363/600), HuatuoGPT took 224 min and scored 305 points with an accuracy rate of 50.8% (305/600), Tongyi Qianwen took 43 min, scored 438 points with an accuracy rate of 73.0% (438/600), iFlytek Spark took 32 min, scored 364 points with an accuracy rate of 60.7% (364/600), and ChatGPT took 59 min, scored 381 points with an accuracy rate of 63.5% (381/600). Conclusions:Based on the evaluation of LLM′s dual roles as an AI medical assistant and a simulated doctor, ChatGPT performes the best, with basically correct, clear and concise answers, followed by Erine Bot, Tongyi Qianwen and iFlytek Spark, with HuatuoGPT lagging behind significantly. In the dental licensing examination, all the 4 LLM, except for HuatuoGPT, reach the passing level, and the time consumpution for answering is significantly reduced compared to the 8 h required for the exam regulations in all of the five models. LLM has the feasibility of application in oral auxiliary, treatment and health consultation, and it can help both doctors and patients obtain medical information quickly. Howere, their outputs carry a risk of errors (since the 3C scoring results do not reach the full marks), so prudent judgment should be exercised when using them.

Objective:To evaluate the accuracy of the oral healthcare information provided by different large language models (LLM) to explore their feasibility and limitations in the application of oral auxiliary, treatment and health consultation.Methods:This study designed eight items comprising 47 questions in total related to the diagnosis and treatment of oral diseases [to assess the performance of LLM as an artificial intelligence (AI) medical assistant], and five items comprising 35 questions in total about oral health consultations (to assess the performance of LLM as a simulated doctor). These questions were answered individually by the five LLM models (Erine Bot, HuatuoGPT, Tongyi Qianwen, iFlytek Spark, ChatGPT). Two attending physicians with more than 5 years of experience independently rated the responses using the 3C criteria (correct, clear, concise), and the consistency between the raters was assessed using the Spearman rank correlation coefficient, and the Kruskal-Wallis test and Dunn post hoc test were used to assess the statistical differences between the models. Additionally, this study used 600 questions from the 2023 dental licensing examination to evaluate the time taken to answer, scores, and accuracy of each model.Results:As an AI medical assistant, LLM can assist doctors in diagnosis and treatment decision-making, with an inter-evaluator Spearman coefficient of 0.505 ( P<0.01). As a simulated doctor, LLM can carry out patient popularization, with an inter-evaluator Spearman coefficient of 0.533 ( P<0.01). The 3C scores of each model as an AI medical assistant and a simulated doctor were respectively: 2.00 (1.00, 3.00) and 2.00 (2.00, 3.00) points of Erine Bot, 1.00 (1.00, 2.00) and 2.00 (1.00, 2.00) points of HuatuoGPT, 2.00 (1.00, 2.00) and 2.00 (1.00, 3.00) points of Tongyi Qianwen, 2.00 (1.00, 2.00) and 2.00 (1.75, 2.25) points of iFlytek Spark, 3.00 (2.00, 3.00) and 3.00 (2.00, 3.00) points of ChatGPT (full score of 4 points). The Kruskal-Wallis test results showed that, as an AI medical assistant or a simulated doctor, there were statistically differences in the 3C scores among the five large language models (all P<0.001). The average score of the 5 LLMs on the dental licensing examination was 370.2, with an accuracy rate of 61.7% (370.2/600) and a time consumption of 94.6 min. Specifically, Erine Bot took 115 min, scored 363 points with an accuracy rate of 60.5% (363/600), HuatuoGPT took 224 min and scored 305 points with an accuracy rate of 50.8% (305/600), Tongyi Qianwen took 43 min, scored 438 points with an accuracy rate of 73.0% (438/600), iFlytek Spark took 32 min, scored 364 points with an accuracy rate of 60.7% (364/600), and ChatGPT took 59 min, scored 381 points with an accuracy rate of 63.5% (381/600). Conclusions:Based on the evaluation of LLM′s dual roles as an AI medical assistant and a simulated doctor, ChatGPT performes the best, with basically correct, clear and concise answers, followed by Erine Bot, Tongyi Qianwen and iFlytek Spark, with HuatuoGPT lagging behind significantly. In the dental licensing examination, all the 4 LLM, except for HuatuoGPT, reach the passing level, and the time consumpution for answering is significantly reduced compared to the 8 h required for the exam regulations in all of the five models. LLM has the feasibility of application in oral auxiliary, treatment and health consultation, and it can help both doctors and patients obtain medical information quickly. Howere, their outputs carry a risk of errors (since the 3C scoring results do not reach the full marks), so prudent judgment should be exercised when using them.

Objective To establish ecological suitability zone of Forsythia suspensa(Thunb.)Vahl in Shanxi Province;To study the quality regionalization of Forsythia suspensa(Thunb.)Vahl from different producing areas in Shanxi Province;To provide reference for reasonable planting and wild tending of Forsythia suspensa(Thunb.)Vahl.Methods Maximum entropy(MaxEnt)model and ArcGIS software were used to study the ecological suitability of Forsythia suspensa(Thunb.)Vahl in Shanxi Province;By screening the main environmental factors and combining them with the content of forsythoside and forsythoside A in Forsythia suspensa(Thunb.)Vahl of different regions,a quality zoning of Forsythia suspensa Thunb.Vahl medicinal materials in Shanxi Province based on forsythoside,forsythoside A and environmental factors was constructed.Results The ecological suitable areas of Forsythia suspensa Thunb.Vahl in Shanxi Province were mainly distributed in the southern part of Shanxi Province,mainly in Linfen,Yuncheng,Changzhi,and Jincheng.The general contents of forsythoside and forsythoside A in the Forsythia suspensa(Thunb.)Vahl medicinal material were gradually reduced from southern part to northern part of Shanxi Province.The comprehensive quality was high in southern part of Shanxi Province,mainly in Linfen,Changzhi,Yuncheng and Jincheng.Conclusion The results of this study are consistent with the actual survey.The southern part of Shanxi province is a suitable planting area for high quality Forsythia suspensa(Thunb.)Vahl,which provides a reference for the standardized planting and wild tending of Forsythia suspensa(Thunb.)Vahl.

This paper reviewed the overview, assessment tools, influencing factors and intervention measures of guilt of family caregivers of dementia patients, aiming to provide reference for formulating targeted intervention measures to reduce guilt of family caregivers of dementia patients.

The Satir model, grounded in humanism and oriented towards growth, is a psychological therapy model aimed at enhancing self-esteem, improving communication, and facilitating personal integration of mind and body, achieving internal and external harmony. In recent years, the Satir model has garnered increasing attention from nursing educators and scholars. This study provides a comprehensive review of the theoretical foundations, therapeutic techniques, and applications of the Satir model in the field of nursing in China. The aim is to offer new perspectives and theoretical references for the nursing practice of the Satir model and to enrich psychological nursing methods.

Objective To investigate the expression of WD repeat-containing protein 5(WDR5)in cervical cancer tissue and its relationship with clinical pathological characteristics and prognosis of patients.Methods 105 CA patients admitted to our hospital from January 2018 to March 2020 were included as the study subjects,the cancer tissue and adjacent tissue samples of patients were collected,Immunohistochemical staining and Western blot were used to detect the level of WDR5 in CA tissue and adjacent cancer tissues.Immunohistochemistry and Western blot were used to determine the level;Survival analysis was conducted using the Kaplan Meier method;The influencing factors of patient prognosis were analyzed through Cox regression.Results Among 105 CA tissue samples,the positive expression rate of WDR5(WDR5 positive cases/total cancer tissue cases)was 68.57% (72/105),which was higher than 22.86% (24/105)in adjacent cancer tissues(P<0.05);Compared to adjacent tissues(1.00±0.11),the expression level of WDR5 was higher in CA tissues(4.66±0.98)(t = 38.030,P<0.05).The expression level of WDR5 is related to the degree of differentiation,TNM staging,and lymph node metastasis(P<0.05);The survival rate of WDR5 positive expression was 65.28% (47/72)lower than that of negative expression of 90.91% (30/33)(Log rank χ2 = 6.732,P = 0.009);TNM staging,WDR5,degree of dif-ferentiation,and lymph node metastasis are all influencing factors for patient prognosis(P<0.05).Conclusion The expression of WDR5 is elevated in cervical cancer tissues,and its changes are closely related to TNM staging,differentiation,lymph node metastasis,and prognosis in cervical cancer patients.

Colorectal cancer(CRC)is one of the most prevalent cancers in China.Early screening and timely treatment are crucial measures for reducing the incidence and mortality of CRC.Colonoscopy is the gold standard for the diagnosis of CRC,however,it is costly and represents an invasive screening method.In recent years,numerous novel non-invasive screening methods and strategies for CRC have emerged.These screening methods include questionnaire-based screening,stool-based examination,liquid biopsy,as well as combination of multiple non-invasive screening methods.This article reviewed the research progress on the non-invasive screening methods for CRC,introduced the principles,characteristics and clinical applications,in order to provide a basis for the promotion and application of these non-invasive screening methods for CRC.

Colorectal cancer(CRC)is one of the most prevalent cancers in China.Early screening and timely treatment are crucial measures for reducing the incidence and mortality of CRC.Colonoscopy is the gold standard for the diagnosis of CRC,however,it is costly and represents an invasive screening method.In recent years,numerous novel non-invasive screening methods and strategies for CRC have emerged.These screening methods include questionnaire-based screening,stool-based examination,liquid biopsy,as well as combination of multiple non-invasive screening methods.This article reviewed the research progress on the non-invasive screening methods for CRC,introduced the principles,characteristics and clinical applications,in order to provide a basis for the promotion and application of these non-invasive screening methods for CRC.

ObjectiveTo observe the effects of Wendantang on the expression of inflammatory cytokines， autophagy markers， and key molecules of phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR） signaling pathway in the adipocytes of the rat model of obesity （syndrome of phlegm-dampness） and to explore the material basis of inflammation in obesity （syndrome of phlegm-dampness） and the underlying mechanism of Wendantang intervention. MethodA total of 126 SD rats were randomized into 2 groups： 16 rats in the blank group and 110 rats in the modeling group. The blank group was fed with a basic diet while the modeling group with a high-fat diet to establish the animal model of obesity （syndrome of phlegm-dampness） for 8 weeks. After successful modeling， 48 obese rats were selected according to their body mass and randomized into a model control group， an orlistat （ORLI， 32.40 mg·kg^-1） group， a rapamycin （RAPA， 2 mg·kg^-1） group， and low-， medium-， and high-dose （4.45， 8.90， 17.80 g·kg^-1， respectively） Wendantang groups， with 8 rats in each group. In addition， 8 rats were randomly selected from the blank group to be set as the normal control group. The corresponding agents in each group were administrated by gavage and the model and control groups were administrated with equal amounts of distilled water once daily for 6 weeks. The body mass， Lee's index， body fat ratio， and obesity rate were measured or calculated. The expression of UNC51-like kinase-1 （ULK1）， Beclin1， human autophagy-related protein 5 （Atg5）， p62， and microtubule-associated protein 1 light chain 3 （LC3） Ⅰ/Ⅱ （markers of autophagy in adipocytes） was detected by the immunohistochemical two-step method. Enzyme-linked immunosorbent assay （ELISA） was employed to determine the expression of tumor necrosis factor （TNF）-α， interleukin-6 （IL-6）， IL-1β， monocyte chemotactic protein-1 （MCP-1）， IL-4， IL-10， IL-13， and transforming growth factor （TGF）-β in adipocytes. Western blot was employed to measure the protein levels of classⅠ-PI3K， phosphatidylinositol triphosphate （PIP3）， Akt， mTORC1， ULK1， TSC1， and TSC2 in adipocytes. ResultCompared with the blank group， the modeling group showed increased body mass and Lee's index （P<0.01）， the obesity rate >20%， and phlegm-dampness syndrome manifestations such as physical obesity， decreased mobility， decreased appetite， lusterless and tight fur， loose stools， decreased responsiveness to the outside world， and decreased water intake. Compared with the normal control group， the model control group showed increased body mass， Lee's index， body fat ratio， adipocyte autophagy marker expression， pro- and anti-inflammatory cytokine levels （P<0.05， P<0.01）， down-regulated protein levels of classⅠ-PI3K， PIP3， Akt， mTORC1， TSC1， and TSC2 （P<0.01）， and up-regulated protein level of ULK1 （P<0.01）. The intervention groups showed lower body mass， body fat ratio， adipocyte autophagy marker protein expression， and protein levels of TNF-α， IL-6， IL-1β， MCP-1， IL-4， and IL-13 than the model control group （P<0.05， P<0.01）. Moreover， the RAPA and Wendantang （medium and high dose） groups showed lowered levels of IL-10 and TGF-β （P<0.01）， and the ORLI group showed down-regulated expression of TGF-β （P<0.01）. The expression of key molecules of the signaling pathway was up-regulated （P<0.05， P<0.01） while that of ULK1 was down-regulated （P<0.01） in all the intervention groups. Compared with the RAPA group， the Wendantang groups showed up-regulated expression of all autophagy marker proteins in adipocytes （P<0.01）. In addition， the low-dose Wendantang group showed elevated levels of inflammatory cytokines （except TNF-α） （P<0.05， P<0.01） and down-regulated expression of all key molecules of the signaling pathway （P<0.05， P<0.01）. The levels of inflammatory cytokines （except IL-16， MCP-1， and IL-10） were elevated in the medium-dose Wendantang group （P<0.05， P<0.01）. The expression of key molecules except PI3K of the signaling pathway was down-regulated in the medium- and high-dose Wendantang groups （P<0.05， P<0.01）. Compared with the ORLI group， low- and medium-dose Wendantang groups showed up-regulated expression of autophagy markers in adipocytes （P<0.01）， and the low-dose group showed elevated levels of inflammatory cytokines （IL-6， IL-4， and TGF-β） （P<0.01） and down-regulated expression of all key molecules of the signaling pathway （P<0.01）. The medium-dose Wendantang group showed up-regulated expression of IL-4 （P<0.01） and down-regulated expression of key molecules except PI3K of the signaling pathway （P<0.05， P<0.01）. The high-dose Wendantang group showed increased body mass， up-regulated expression levels of autophagy markers （ULK1， LC3 Ⅰ/Ⅱ） （P<0.05， P<0.01）， down-regulated expression of PIP3， mTORC1， and TSC1 （P<0.05， P<0.01）， and lowered levels of Beclin1， Atg5， TNF-α， and IL-13 （P<0.05， P<0.01）. ConclusionThe inflammation in obesity （syndrome of phlegm-dampness） is closely associated with the PI3K/Akt/mTOR pathway-mediated adipocyte autophagy. Wendantang can treat the chronic inflammation in obese rats with the syndrome of phlegm-dampness by regulating this signaling pathway and thus improve adipocyte autophagy.