[Objective]To evaluate the efficacy of different acupuncture therapies in treating patients with insomnia with heart and spleen deficiency,thereby providing evidence-based guidance for clinical practice in selecting optimal treatment regimens.[Methods]A systematic search was performed across China National Knowledge Infrastructure(CNKI),WanFang,China Biomedical Literature Database(SinoMed),China Science and Technology Journal Database(VIP),PubMed,the Cochrane Library,Web of Science and Embase for randomized controlled trials assessing different acupuncture interventions for heart-spleen deficiency insomnia.The retrieval time limit was from the establishment date of the databases to August 2024.Data were analyzed by using Review Manager 5.3 and Stata 17.0 software.[Results]Ultimately,28 studies were included,encompassing 10 distinct acupuncture modalities and involving a total of 2 117 patients.According to the network Meta-analysis,moxibustion,warm acupuncture,acupuncture plus moxibustion,ear acupuncture with moxibustion,as well as ear acupressure beads combined with acupuncture demonstrated superior effectiveness compared with conventional sedative-hypnotic medications in enhancing Pittsburgh sleep quality index(PSQI)scores,and the ranking from high to low was warm acupuncture,ear acupoint pressure bead plus acupuncture,ear acupoint pressure bead plus moxibustion,moxibustion,acupuncture plus moxibustion,electroacupuncture,simple acupuncture,acupoint catgut embedding.Regarding clinical efficacy rates,warm acupuncture,acupuncture plus moxibustion,ear acupoint pressure bead plus acupuncture,pure acupuncture,electroacupuncture,and acupoint catgut embedding exhibited greater efficacy than conventional sedative-hypnotic medications.And the ranking in terms of clinical efficacy was electroacupuncture,warm acupuncture,acupoint catgut embedding,ear acupoint pressure bead plus acupuncture,simple acupuncture,acupuncture plus acupoint injection,acupoint injection,acupuncture plus moxibustion,ear acupoint pressure bead plus moxibustion.[Conclusion]Electroacupuncture can effectively increase the total clinical effective rate of insomnia treatment,warming moxibustion can effectively improve the PSQI score of patients.In clinical practice,an appropriate treatment plan can be selected based on the patient's own condition.

[Objective]To evaluate the efficacy of different acupuncture therapies in treating patients with insomnia with heart and spleen deficiency,thereby providing evidence-based guidance for clinical practice in selecting optimal treatment regimens.[Methods]A systematic search was performed across China National Knowledge Infrastructure(CNKI),WanFang,China Biomedical Literature Database(SinoMed),China Science and Technology Journal Database(VIP),PubMed,the Cochrane Library,Web of Science and Embase for randomized controlled trials assessing different acupuncture interventions for heart-spleen deficiency insomnia.The retrieval time limit was from the establishment date of the databases to August 2024.Data were analyzed by using Review Manager 5.3 and Stata 17.0 software.[Results]Ultimately,28 studies were included,encompassing 10 distinct acupuncture modalities and involving a total of 2 117 patients.According to the network Meta-analysis,moxibustion,warm acupuncture,acupuncture plus moxibustion,ear acupuncture with moxibustion,as well as ear acupressure beads combined with acupuncture demonstrated superior effectiveness compared with conventional sedative-hypnotic medications in enhancing Pittsburgh sleep quality index(PSQI)scores,and the ranking from high to low was warm acupuncture,ear acupoint pressure bead plus acupuncture,ear acupoint pressure bead plus moxibustion,moxibustion,acupuncture plus moxibustion,electroacupuncture,simple acupuncture,acupoint catgut embedding.Regarding clinical efficacy rates,warm acupuncture,acupuncture plus moxibustion,ear acupoint pressure bead plus acupuncture,pure acupuncture,electroacupuncture,and acupoint catgut embedding exhibited greater efficacy than conventional sedative-hypnotic medications.And the ranking in terms of clinical efficacy was electroacupuncture,warm acupuncture,acupoint catgut embedding,ear acupoint pressure bead plus acupuncture,simple acupuncture,acupuncture plus acupoint injection,acupoint injection,acupuncture plus moxibustion,ear acupoint pressure bead plus moxibustion.[Conclusion]Electroacupuncture can effectively increase the total clinical effective rate of insomnia treatment,warming moxibustion can effectively improve the PSQI score of patients.In clinical practice,an appropriate treatment plan can be selected based on the patient's own condition.

Objective:To investigate the risk factors for progression to castration-resistant prostate cancer (CRPC) in metastatic prostate cancer (mPCa) patients who underwent androgen deprivation therapy (ADT).Methods:One hunred mPCa patients underwent ADT were followed up from January 2014 to December 2020 in the Affiliated Central Hospital of Shenyang Medical University. Retrospective analyze the patient′s Gleason score, initial PSA value, minimum prostate specific antigen (nPSA) and time when PSA drops to the lowest point (TTN), and record the state of lymph node metastasis and bone metastasis. Single factor Kaplan-Meier analysis and multivariate Cox regression analysis were used to explore the related risk factors affecting the progress of CRPC.Results:A total of 82 cases (82%) of ADT patients progressed to CRPC. Univariate Kaplan-Meier analysis showed that Gleason score, PSA initial value, lowest nPSA and time to TTN, lymph node metastasis and bone metastasis are risk factors for CRPC ( P<0.01 or<0.05); Multivariate Cox regression analysis showed that Gleason score, initial PSA value, nPSA and TTN are independent risk factors for PCa patients to progress to CRPC ( P<0.01 or<0.05). Conclusions:This study demonstrated that Gleason score, lymph node metastasis, bone metastasis, initial PSA value, nPSA and TTN are risk factors for the progression of CRPC. Patients with higher Gleason grade, higher nPSA, shorter TTN, lymph node and bone metastasis have shorter PFS and higher risk of progression to CRPC.

Polycystic ovary syndrome (PCOS) is the most common endocrine disease in reproductive-aged women, which is characterized by polycystic ovary changes, hyperandrogenism and anovulation. A large number of studies have confirmed that miRNAs play an important role in the pathophysiology of PCOS. The miRNA-17-92 gene cluster is a family of miRNAs containing multiple cistron clusters. It was initially considered to be an oncogene, but it can trigger a variety of physiological and pathological processes in many diseases. In recent years, more and more evidence has showed that miRNA-17-92 gene cluster plays an important role in the development of PCOS. In this study, we reviewed the roles of miRNA-17-92 gene cluster in the development of PCOS.

Recurrent spontaneous abortion (RSA) is a common adverse pregnancy outcome in women of childbearing age and its etiology is complex and still not clear. The maternal-fetal interface microenvironment plays a key role in maintaining pregnancy. There are trophoblast cells, decidual stromal cells and immune cells in the maternal-fetal interface microenvironment. The abnormal number or function of these cells may induce changes in the microenvironment of maternal-fetal interface, such as spiral artery remodeling disorder and abnormal decidualization, which may lead to RSA. This review discusses the role and mechanism of these three main cells in RSA.

Polycystic ovary syndrome (PCOS) is the most common endocrine disease in reproductive-aged women, which is characterized by polycystic ovary changes, hyperandrogenism and anovulation. A large number of studies have confirmed that miRNAs play an important role in the pathophysiology of PCOS. The miRNA-17-92 gene cluster is a family of miRNAs containing multiple cistron clusters. It was initially considered to be an oncogene, but it can trigger a variety of physiological and pathological processes in many diseases. In recent years, more and more evidence has showed that miRNA-17-92 gene cluster plays an important role in the development of PCOS. In this study, we reviewed the roles of miRNA-17-92 gene cluster in the development of PCOS.

Recurrent spontaneous abortion (RSA) is a common adverse pregnancy outcome in women of childbearing age and its etiology is complex and still not clear. The maternal-fetal interface microenvironment plays a key role in maintaining pregnancy. There are trophoblast cells, decidual stromal cells and immune cells in the maternal-fetal interface microenvironment. The abnormal number or function of these cells may induce changes in the microenvironment of maternal-fetal interface, such as spiral artery remodeling disorder and abnormal decidualization, which may lead to RSA. This review discusses the role and mechanism of these three main cells in RSA.

Objective:To systematically understand the global research progress in the construction and validation of lung cancer risk prediction models.Methods:"lung neoplasms" , "lung cancer" , "lung carcinoma" , "lung tumor" , "risk" , "malignancy" , "carcinogenesis" , "prediction" , "assessment" , "model" , "tool" , "score" , "paradigm" , and "algorithm" were used as search keywords. Original articles were systematically searched from Chinese databases (CNKI, and Wanfang) and English databases (PubMed, Embase, Cochrane, and Web of Science) published prior to December 2018. The language of studies was restricted to Chinese and English. The inclusion criteria were human oriented studies with complete information for model development, validation and evaluation. The exclusion criteria were informal publications such as conference abstracts, Chinese dissertation papers, and research materials such as reviews, letters, and news reports. A total of 33 papers involving 27 models were included. The population characteristics of all included studies, study design, predicting factors and the performance of models were analyzed and compared.Results:Among 27 models, the number of American-based, European-based and Asian-based model studies was 12, 6 and 9, respectively. In addition, there were 6 Chinese-based model studies. According to the factors fitted into the models, these studies could be divided into traditional epidemiological models (11 studies), clinical index models (6 studies), and genetic index models (10 studies). 15 models were not validated after construction or were cross-validated only in the internal population, and the extrapolation effect of models was not effectively evaluated; 8 models were validated in single external population; only 4 models were verified in multiple external populations (3-7); the area under the curve (AUC) of models ranged from 0.57 to 0.90.Conclusion:Research on risk prediction models for lung cancer is in development stage. In addition to the lack of external validation of existing models, the exploration of potential clinical indicators was also limited.

Objective:To develop a lung cancer risk prediction model for female non-smokers.Methods:Based on the Kailuan prospective dynamic cohort (2006.05-2015.12), a nested case-control study was conducted. Participants diagnosed with primary pathologically confirmed lung cancer during follow-up were identified as the case group, and others were identified as the control group. A total of 24 701 subjects were included in the study, including 86 lung cancer cases and 24 615 control population, respectively. Questionnaires, physical examinations, and laboratory tests were conducted to collect relevant information. Multivariable-adjusted logistic regressions were conducted to develop a lung cancer risk prediction model. Area Under the Curve (AUC) and Hosmer-Lemeshow tests were used to evaluate discrimination and calibration, respectively. Ten-fold cross-validation was used for internal validation.Results:Two sets of models were developed: the simple model (including age and monthly income) and the metabolic index model [including age, monthly income, fasting blood glucose (FBG), total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C)].The AUC (95%CI) [0.745 (0.719-0.771)] of the metabolic index model was higher than that of the simple prediction model [0.688 (0.660-0.716)] ( P=0.004). Both the simple model ( PHL=0.287) and the metabolic index model ( PHL=0.134) were well-calibrated. The results of ten-fold cross-validation indicated sufficient stability, with an average AUC of 0.699 and a standard error (SD) of 0.010. Conclusion:By incorporating metabolic markers, accurate and reliable lung cancer risk prediction model for female non smokers could be developed.

Objective:To systematically understand the global research progress in the construction and validation of lung cancer risk prediction models.Methods:"lung neoplasms" , "lung cancer" , "lung carcinoma" , "lung tumor" , "risk" , "malignancy" , "carcinogenesis" , "prediction" , "assessment" , "model" , "tool" , "score" , "paradigm" , and "algorithm" were used as search keywords. Original articles were systematically searched from Chinese databases (CNKI, and Wanfang) and English databases (PubMed, Embase, Cochrane, and Web of Science) published prior to December 2018. The language of studies was restricted to Chinese and English. The inclusion criteria were human oriented studies with complete information for model development, validation and evaluation. The exclusion criteria were informal publications such as conference abstracts, Chinese dissertation papers, and research materials such as reviews, letters, and news reports. A total of 33 papers involving 27 models were included. The population characteristics of all included studies, study design, predicting factors and the performance of models were analyzed and compared.Results:Among 27 models, the number of American-based, European-based and Asian-based model studies was 12, 6 and 9, respectively. In addition, there were 6 Chinese-based model studies. According to the factors fitted into the models, these studies could be divided into traditional epidemiological models (11 studies), clinical index models (6 studies), and genetic index models (10 studies). 15 models were not validated after construction or were cross-validated only in the internal population, and the extrapolation effect of models was not effectively evaluated; 8 models were validated in single external population; only 4 models were verified in multiple external populations (3-7); the area under the curve (AUC) of models ranged from 0.57 to 0.90.Conclusion:Research on risk prediction models for lung cancer is in development stage. In addition to the lack of external validation of existing models, the exploration of potential clinical indicators was also limited.