Green prescription is a written prescription aimed at improving health by promoting physical activity and improving diet， with advantages such as high cost-effectiveness， strong feasibility， and minimal harm to patients. The theory of traditional Chinese medicine （TCM） green prescription integrates the health philosophy of "following rule of yin and yang， and adjusting ways to cultivating health"， the exercise philosophy of balancing yin-yang and the five elements， and the dietary philosophy of moderation and balance， which embody core TCM concepts such as treating disease before its onset and harmony between humans and nature. It has also developed traditional exercise practices like Tai Chi， Baduanjin， Wuqinxi， Yi-Gin-Ching， and Qigong， as well as dietary adjustments like medicated diet and herbal wines. However， it is believed that the TCM green prescription currently suffers from insufficient evidence-based research， low patient awareness and acceptance， and weak basic research. Based on this， it is proposed that large-sample clinical trials should be conducted in the future to improve the quality of evidence-based medicine， basic research can be carried out with the help of artificial intelligence and other methods in research design， the hospital information system （HIS） can be used for control at the implementation level， and publicity and patient education can be strengthened through the new media， so as to promote the development and application of the TCM green prescriptions in the field of global health treatment.

The quality evaluation of the blind method is to evaluate the clinical blind data obtained from clinical trials adopting the blind method and judge the effectiveness of the blind method by investigating the blind effect of different blind objects. A successful blind method can avoid the influence of subjective factors on the test results of subjects and researchers to a certain extent. The quality evaluation of the blind method can reflect not only the effectiveness of the blind method but also the accuracy and credibility of clinical trial results. In recent years， randomized controlled trials have been widely used in the evaluation of the clinical efficacy of traditional Chinese medicine （TCM）， but the quality of the implementation of blind methods is uneven， and the evaluation criteria have not yet been formed. In this paper， the data collection methods， calculation principles， advantages， and disadvantages of two quantitative quality evaluation methods of blind methods， namely James Blinding Index （JBI） and Bang Blinding Index （BBI）， were introduced. The two indexes were analyzed in a randomized controlled trial of acupuncture and moxibustion to relieve postoperative oral pain. The calculation process of the results was demonstrated by R software and visualized by forest map. At the same time， a tool table was designed to facilitate the collection of evaluation data of blind methods in TCM clinical trials at different stages. Finally， the necessity and feasibility of quality evaluation of blind method in TCM research were discussed to provide a basis for evaluating and improving the quality of blind method implementation in TCM clinical trials.

Trials within cohorts （TwiCs） are design methods derived from randomized controlled trials （RCTS）. They have been widely used in chronic disease areas such as tumors and cardiovascular diseases. The basis of the TwiCs design is a prospective cohort of specific diseases. When RCTS need to be implemented， some patients meeting the inclusion and exclusion criteria are randomly sampled from the cohort to receive "trial interventions"， while the remaining patients in the cohort who meet the inclusion and exclusion criteria continue to receive conventional treatment as control groups. By comparing the efficacy differences between the intervention measures of the trial group and the control group， the efficacy of intervention measures was evaluated. Within the cohort， the same process could be repeated to carry out multiple RCTS， so as to evaluate different intervention measures or compare the efficacy of different doses or timing of interventions. Compared with classical RCTS， TwiCs make it easier to recruit patients from the cohort and have higher external validity， providing a new research paradigm for improving the efficiency and applicability of RCTS in clinical practice. However， TwiCs may also face the challenge of poor compliance of patients in the cohort. Researchers need to take effective measures to control these patients in the design and operation of TwiCs. This article focused on the methodological key points during the implementation of TwiCs， including multi-stage informed consent （patients are informed of consent at three stages： entering the cohort， entering the trial group， and after the trial）， randomization procedures （only random sampling of patients from the cohort to receive "trial interventions"）， sample size calculation， and statistical analysis methods. The article also compared the differences between TwiCs and traditional RCTS and illustrated TwiCs research design and analysis with examples， so as to provide new research ideas and methods for clinical researchers.

Female ; Humans ; Breast Neoplasms ; Testosterone ; Prolactin ; Estradiol ; Testosterone Congeners ; China

Radiotherapy plays a key role in the treatment of head and neck tumors, which can not only serve as a curative treatment, but also as an adjuvant treatment after surgery to improve the local control rate. In addition, radiotherapy also helps preserve important organ functions, such as laryngeal function or facial appearance, which is of great significance for the treatment and rehabilitation of patients. Despite advances in radiotherapy technology, some patients still experience resistance to radiation therapy, resulting in treatment failure. Non-coding RNA (ncRNA) is considered to be the main type of RNA transcription, which is usually not translated into proteins, and mainly functions through the interaction with proteins, chromatins and mRNAs, and is a molecular marker for a variety of tumors, involving tumor proliferation, apoptosis, invasion and migration, etc. Many studies have shown that dysregulated ncRNA play an important role in radiotherapy resistance in head and neck tumors. Therefore, this article reviews the research progress of ncRNA in radiotherapy resistance in head and neck tumors, aiming to better understand the role of ncRNA in the occurrence and development of radiotherapy resistance, and provide reference for formulating more effective strategies for preventing radiotherapy resistance.

Objective To compare the value of Child-Pugh score, Model for End-Stage Liver Disease (MELD) score, MELD combined with serum sodium concentration (MELD-Na) score, CLIF Consortium Acute Decompensation (CLIF-C AD) score, and Freiburg index of post-transjugular intrahepatic portosystemic shunt (TIPS) survival (FIPS) score in predicting the survival of patients undergoing TIPS. Methods A retrospective analysis was performed for the clinical data of 447 patients with liver cirrhosis who underwent TIPS in several hospitals in southwest China, among whom there were 306 patients in the survival group and 62 in the death group. The scores of the above five models were calculated, and a survival analysis was performed based on these models. The independent samples t -test was used for comparison of normally distributed continuous data between groups, and the non-parametric Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups; the Pearson chi-square test was used for comparison of categorical data between groups; a multivariate Cox regression analysis was used for correction analysis of known influencing factors with statistical significance which were not included in the scoring models; the Kaplan-Meier method was used to evaluate the discriminatory ability of each model in identifying risks in the surgical population, and the log-rank test was used for analysis. The area under the receiver operating characteristic curve (AUC), C-index at different time points, and calibration curve were used to evaluate the predictive ability of each scoring model. Results Compared with the death group, the survival group had significantly lower age ( Z =2.884, P < 0.05), higher albumin ( t =3.577, P < 0.05), and Na + ( Z =-3.756, P < 0.05) and significantly lower proportion of patients with alcoholic cirrhosis ( χ 2 =22.674, P < 0.05), aspartate aminotransferase ( Z =2.141, P < 0.05), prothrombin time ( Z =2.486, P < 0.05), international normalized ratio ( Z =2.429, P < 0.05), total bilirubin ( Z =3.754, P < 0.05), severity of ascites ( χ 2 =14.186, P < 0.05), and scores of the five models (all P < 0.05). Survival analysis showed that all scoring models effectively stratified the prognostic risk of the patients undergoing TIPS. Comparison of the C-index of each scoring model at different time points showed that Child-Pugh score had the strongest ability in predicting postoperative survival, followed by MELD-Na score, MELD score, and CLIF-C AD score, and FIPS score had a relatively poor predictive ability; in addition, the prediction efficiency of each score gradually decreased over time. Child-Pugh score had the largest AUC of 0.832 in predicting 1-year survival rate after surgery, and MELD-Na score had the largest AUC of 0.726 in predicting 3-year survival rate after surgery, but FIPS score had a poor ability in predicting 1- and 3-year survival rates. Conclusion All five scoring models can predict the survival of patients with liver cirrhosis after TIPS and can provide effective stratification of prognostic risk for such patients. Child-Pugh score has a better ability in predicting short-term survival, while MELD-Na score has a better ability in predicting long-term survival, but FIPS score has a relatively poor predictive ability in predicting both short-term and long-term survival.

Target trial emulation， using observational data to emulate a target trial， applies the study design principles of randomized controlled trials to observational studies that aim to estimate the effect of an intervention. The advantage of target trial emulation is that observational data is used to emulate a target trial when it is not appropriate to conduct randomized controlled trials. Target trial emulation can control bias caused by the design of observational studies， and improve the effectiveness of causal inference from observational data. This paper introduced the methodological framework and key points in terms of eligibility criteria， treatment strategies， assignment procedures， grace period， outcomes， follow-up period， effect contrasts， and statistical plan for implementing target trial emulation. This article elucidated the feasibility and necessity of applying target trail emulation in the realm of traditional Chinese medicine researches， and highlighted the challenges encountered in its implementation， such as the need for specialized personnel， data collection and integration， and the control of confounding factors.

Rheumatoid arthritis is a chronic, systemic autoimmune disease predominantly based on joint lesions with an extremely high disability and deformity rate. Several drugs have been used for the treatment of rheumatoid arthritis, but their use is limited by suboptimal bioavailability, serious adverse effects, and nonnegligible first-pass effects. In contrast, transdermal drug delivery systems (TDDSs) can avoid these drawbacks and improve patient compliance, making them a promising option for the treatment of rheumatoid arthritis (RA). Of course, TDDSs also face unique challenges, as the physiological barrier of the skin makes drug delivery somewhat limited. To overcome this barrier and maximize drug delivery efficiency, TDDSs have evolved in terms of the principle of transdermal facilitation and transdermal facilitation technology, and different generations of TDDSs have been derived, which have significantly improved transdermal efficiency and even achieved individualized controlled drug delivery. In this review, we summarize the different generations of transdermal drug delivery systems, the corresponding transdermal strategies, and their applications in the treatment of RA.

Objective:We investigated the incidence of surgical site infection (SSI) following emergency abdominal surgery (EAS) in China and further explored its risk factors, providing a reference for preventing and controlling SSI after EAS.Methods:This was an observational study. Data of patients who had undergone EAS and been enrolled in the Chinese SSI Surveillance Program during 2018–2021were retrospectively analyzed. All included patients had been followed up for 30 days after surgery. The analyzed data consisted of relevant patient characteristics and perioperative clinical data, including preoperative hemoglobin, albumin, and blood glucose concentrations, American Society of Anesthesiologists (ASA) score, grade of surgical incision, intestinal preparation, skin preparation, location of surgical site, approach, and duration. The primary outcome was the incidence of SSI occurring within 30 days following EAS. SSI was defined as both superficial and deep incisional infections and organ/space infections, diagnoses being supported by results of microbiological culture of secretions and pus. Secondary outcomes included 30-day postoperative mortality rates, length of stay in the intensive care unit (ICU), duration of postoperative hospitalization, and associated costs. The patients were classified into two groups, SSI and non-SSI, based on whether an infection had been diagnosed. Univariate and multivariate logistic regression analyses were performed to identify risk factors associated with SSI following EAS.Results:The study cohort comprised 5491 patients who had undergone EAS, comprising 3169 male and 2322 female patients. SSIs were diagnosed in 168 (3.1%) patients after EAS (SSI group); thus, the non-SSI group consisted of 5323 patients. The SSIs comprised superficial incision infections in 69 (41.1%), deep incision infections in 51 (30.4%), and organ or space infections in 48 (28.6%). Cultures of secretions and pus were positive in 115 (68.5%) cases. The most frequently detected organism was Escherichia coli (47/115; 40.9%). There were no significant differences in sex or body mass index between the SSI and non-SSI groups (both P>0.05). However, the proportion of individuals aged 60 years or older was significantly greater in the SSI than in the non-SSI group (49.4% [83/168] vs. 27.5% [1464/5323), χ 2=38.604, P<0.001). Compared with the non-SSI group, the SSI group had greater proportions of patients with diabetes (11.9% [20/168] vs. 4.8% [258/5323], χ 2=16.878, P<0.001), hypertension (25.6% [43/168] vs. 12.2% [649/5323], χ 2=26.562, P<0.001); hemoglobin <110 g/L (27.4% [46/168] vs. 13.1% [697/5323], χ 2=28.411, P<0.001), and albuminemia <30 g/L (24.4% [41/168] vs. 5.9% [316/5323], χ 2=91.352, P<0.001), and a reduced rate of preoperative skin preparation (66.7% [112/168] vs. 75.9% [4039/5323], χ 2=7.491, P=0.006). Furthermore, fewer patients in the SSI group had preoperative ASA scores of between one and two (56.0% [94/168] vs. 88.7% [4724/5323], χ 2=162.869, P<0.001) in the non-SSI group. The incidences of contaminated and infected incisions were greater in the SSI group (63.1% [106/168] vs. 38.6% [2056/5323], χ 2=40.854, P<0.001). There was a significant difference in surgical site distribution between the SSI and non-SSI groups (small intestine 29.8% [50/168] vs. 10.6% [565/5323], colorectal 26.2% [44/168] vs. 5.6% [298/5 323], and appendix 24.4% [41/168] vs. 65.1% [3465/5323]) χ 2=167.897, P<0.001), respectively. There was a significantly lower proportion of laparoscope or robotic surgery in the non-SSI group (24.4 % [41/168] vs. 74.2% [3949/5323], χ 2=203.199, P<0.001); the percentage of operations of duration less than 2 hours was significantly lower in the SSI than non-SSI group (35.7% [60/168] vs. 77.4% [4119/5323], χ 2=155.487, P<0.001). As to clinical outcomes, there was a higher 30-day postoperative mortality rate (3.0%[5/168] vs. 0.2%[10/5323], χ 2=36.807, P<0.001) and higher postoperative ICU occupancy rate (41.7% [70/168] vs. 19.7% [1046/5323], χ 2=48.748, P<0.001) in the SSI group. The median length of stay in the ICU (0[2] vs. 0[0] days, U=328597.000, P<0.001), median total length of stay after surgery (16[13] vs. 6[5] days, U=128146.000, P<0.001), and median hospitalization cost (ten thousand yuan, 4.7[4.4] vs. 1.7[1.8], U=175965.000, P<0.001) were all significantly greater in the SSI group. Multivariate logistic regression analysis revealed that the absence of skin preparation before surgery (OR=2.435,95%CI: 1.690–3.508, P<0.001), preoperative albuminemia <30 g/L (OR=1.680, 95%CI: 1.081–2.610, P=0.021), contaminated or infected incisions (OR=3.031, 95%CI: 2.151–4.271, P<0.001), and laparotomy (OR=3.436, 95% CI: 2.123–5.564, P<0.001) were independent risk factors of SSI. Operative duration less than 2 hours (OR=0.465, 95%CI: 0.312–0.695, P<0.001) and ASA score of 1–2 (OR=0.416, 95% CI: 0.289–0.601, P<0.001) were identified as independent protective factors for SSI. Conclusions:It is important to consider the nutritional status in the perioperative period of patients undergoing EAS. Preoperative skin preparation should be conducted and, whenever possible, laparoscope or robot-assisted surgery. Duration of surgery should be as short as possible while maintaining surgery quality and improving patient care.

Objective:We investigated the incidence of surgical site infection (SSI) following emergency abdominal surgery (EAS) in China and further explored its risk factors, providing a reference for preventing and controlling SSI after EAS.Methods:This was an observational study. Data of patients who had undergone EAS and been enrolled in the Chinese SSI Surveillance Program during 2018–2021were retrospectively analyzed. All included patients had been followed up for 30 days after surgery. The analyzed data consisted of relevant patient characteristics and perioperative clinical data, including preoperative hemoglobin, albumin, and blood glucose concentrations, American Society of Anesthesiologists (ASA) score, grade of surgical incision, intestinal preparation, skin preparation, location of surgical site, approach, and duration. The primary outcome was the incidence of SSI occurring within 30 days following EAS. SSI was defined as both superficial and deep incisional infections and organ/space infections, diagnoses being supported by results of microbiological culture of secretions and pus. Secondary outcomes included 30-day postoperative mortality rates, length of stay in the intensive care unit (ICU), duration of postoperative hospitalization, and associated costs. The patients were classified into two groups, SSI and non-SSI, based on whether an infection had been diagnosed. Univariate and multivariate logistic regression analyses were performed to identify risk factors associated with SSI following EAS.Results:The study cohort comprised 5491 patients who had undergone EAS, comprising 3169 male and 2322 female patients. SSIs were diagnosed in 168 (3.1%) patients after EAS (SSI group); thus, the non-SSI group consisted of 5323 patients. The SSIs comprised superficial incision infections in 69 (41.1%), deep incision infections in 51 (30.4%), and organ or space infections in 48 (28.6%). Cultures of secretions and pus were positive in 115 (68.5%) cases. The most frequently detected organism was Escherichia coli (47/115; 40.9%). There were no significant differences in sex or body mass index between the SSI and non-SSI groups (both P>0.05). However, the proportion of individuals aged 60 years or older was significantly greater in the SSI than in the non-SSI group (49.4% [83/168] vs. 27.5% [1464/5323), χ 2=38.604, P<0.001). Compared with the non-SSI group, the SSI group had greater proportions of patients with diabetes (11.9% [20/168] vs. 4.8% [258/5323], χ 2=16.878, P<0.001), hypertension (25.6% [43/168] vs. 12.2% [649/5323], χ 2=26.562, P<0.001); hemoglobin <110 g/L (27.4% [46/168] vs. 13.1% [697/5323], χ 2=28.411, P<0.001), and albuminemia <30 g/L (24.4% [41/168] vs. 5.9% [316/5323], χ 2=91.352, P<0.001), and a reduced rate of preoperative skin preparation (66.7% [112/168] vs. 75.9% [4039/5323], χ 2=7.491, P=0.006). Furthermore, fewer patients in the SSI group had preoperative ASA scores of between one and two (56.0% [94/168] vs. 88.7% [4724/5323], χ 2=162.869, P<0.001) in the non-SSI group. The incidences of contaminated and infected incisions were greater in the SSI group (63.1% [106/168] vs. 38.6% [2056/5323], χ 2=40.854, P<0.001). There was a significant difference in surgical site distribution between the SSI and non-SSI groups (small intestine 29.8% [50/168] vs. 10.6% [565/5323], colorectal 26.2% [44/168] vs. 5.6% [298/5 323], and appendix 24.4% [41/168] vs. 65.1% [3465/5323]) χ 2=167.897, P<0.001), respectively. There was a significantly lower proportion of laparoscope or robotic surgery in the non-SSI group (24.4 % [41/168] vs. 74.2% [3949/5323], χ 2=203.199, P<0.001); the percentage of operations of duration less than 2 hours was significantly lower in the SSI than non-SSI group (35.7% [60/168] vs. 77.4% [4119/5323], χ 2=155.487, P<0.001). As to clinical outcomes, there was a higher 30-day postoperative mortality rate (3.0%[5/168] vs. 0.2%[10/5323], χ 2=36.807, P<0.001) and higher postoperative ICU occupancy rate (41.7% [70/168] vs. 19.7% [1046/5323], χ 2=48.748, P<0.001) in the SSI group. The median length of stay in the ICU (0[2] vs. 0[0] days, U=328597.000, P<0.001), median total length of stay after surgery (16[13] vs. 6[5] days, U=128146.000, P<0.001), and median hospitalization cost (ten thousand yuan, 4.7[4.4] vs. 1.7[1.8], U=175965.000, P<0.001) were all significantly greater in the SSI group. Multivariate logistic regression analysis revealed that the absence of skin preparation before surgery (OR=2.435,95%CI: 1.690–3.508, P<0.001), preoperative albuminemia <30 g/L (OR=1.680, 95%CI: 1.081–2.610, P=0.021), contaminated or infected incisions (OR=3.031, 95%CI: 2.151–4.271, P<0.001), and laparotomy (OR=3.436, 95% CI: 2.123–5.564, P<0.001) were independent risk factors of SSI. Operative duration less than 2 hours (OR=0.465, 95%CI: 0.312–0.695, P<0.001) and ASA score of 1–2 (OR=0.416, 95% CI: 0.289–0.601, P<0.001) were identified as independent protective factors for SSI. Conclusions:It is important to consider the nutritional status in the perioperative period of patients undergoing EAS. Preoperative skin preparation should be conducted and, whenever possible, laparoscope or robot-assisted surgery. Duration of surgery should be as short as possible while maintaining surgery quality and improving patient care.