Chinese patent medicines(CPMs) are unique therapeutic drugs in China. Establishing and improving the evaluation criteria is an important measure to promote the high-quality development of CPMs. Based on the "evaluation criteria of high-grade CPMs with quality as the core index" established by our group in 2018, the "high-quality evaluation criteria for CPMs based on whole process control" was proposed in the present study in 2022. The scope of application and basic principles of the new criteria were clarified. A quality evaluation scoring table was established in the new criteria, including five parts: raw material selection, production process, quality control, efficacy evaluation, and brand building. The technical evaluation indexes involved have increased from 20% in the original criteria to 70% in the new criteria, and efficacy evaluation has been added in the new criteria. The subjective evaluation indicators account for a large proportion in the original criteria, which is prone to bias. The improved criteria overcome this shortcoming. It is expected that the new criteria as a basis can play a better role in the selection of high-quality products of CPMs, guide enterprises and institutions to participate actively in the evaluation and research of high-quality CPMs, and promote the high-quality development of CPMs.
Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use* ; Nonprescription Drugs ; Chlorobenzenes ; China

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

COVID-19/drug therapy* ; Drugs, Chinese Herbal ; Dyspnea/virology* ; Humans ; Medicine, Chinese Traditional

Objective: To screen and analyze the factors affecting the prognosis of replacing single missing tooth by autograft tooth, so as to provide reference for clinical judgment of surgical prognosis. Methods: A total of 176 patients (188 teeth) underwent autotransplantation of teeth in the Department of Oral & Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University from January 2017 to December 2019, including 85 teeth of males and 103 teeth of females were involved. The age was (33.0±9.8) years (16-65 years). The possible factors affecting the prognosis of replacing single missing tooth by autograft tooth were summarized and grouped, and the clinical and imaging data were recorded and judged. The surgical records and photographic data from the patients' previous medical records were retrospectively analyzed. The survival analysis method was used for statistical analysis to screen out the factors affecting the cumulative survival rate of transplanted teeth. Results: The 5-year cumulative survival rate of 188 transplanted teeth was 88.4%. Univariate Log-Rank analysis showed that age (P<0.001), sex (P=0.008), smoking (P<0.001), position of recipient area (P<0.001), height of alveolar bone in recipient area (P<0.001), time of donor tooth in vitro (P<0.001), use of donor model (P<0.001) and initial stability (P<0.001) were significantly correlated with cumulative survival rate of transplanted teeth. Multivariate Cox proportional hazard regression analysis showed that smoking (β=-2.812, P=0.049), alveolar bone height (β=1.521, P=0.020), donor time (β=-2.001, P=0.019), use of donor model (β=1.666, P=0.034) and initial stability (β=-1.417, P=0.033) were significantly correlated with the cumulative survival rate of transplanted teeth. Conclusions: The prognosis of autogenous tooth transplantation can be predicted by smoking, height of alveolar bone in recipient area, time of donor teeth in vitro, use of donor model and initial stability. Good prognosis of transplanted teeth can be obtained by using donor model during operation, reducing the time of donor teeth in vitro, taking effective methods to restore alveolar bone height, maintaining good initial stability, and good oral health education after operation.
Adult ; Female ; Humans ; Male ; Prognosis ; Retrospective Studies ; Tooth/transplantation* ; Tooth Loss ; Transplantation, Autologous ; Treatment Outcome ; Young Adult

Although there is guidance from different regulatory agencies, there are opportunities to bring greater consistency and stronger applicability to address the practical issues of establishing and operating a data monitoring committee (DMC) for clinical studies of Chinese medicine. We names it as a Chinese Medicine Data Monitoring Committee (CMDMC). A panel composed of clinical and statistical experts shared their experience and thoughts on the important aspects of CMDMCs. Subsequently, a community standard on CMDMCs (T/CACM 1323-2019) was issued by the China Association of Chinese Medicine on September 12, 2019. This paper summarizes the key content of this standard to help the sponsors of clinical studies establish and operate CMDMCs, which will further develop the scientific integrity and quality of clinical studies.

OBJECTIVE: To verify the clinical effect of acupuncture on knee osteoarthritis (KOA). METHODS: Forty-two patients with KOA were randomly divided into an acupuncture group (21 cases, 1 case dropped off) and a sham acupuncture group (21 cases, 1 case dropped off). The patients in the acupuncture group were treated with routine acupuncture at 5-6 local acupoints [Dubi (ST 35), Neixiyan (EX-LE 4), Heding (EX-LE 2), Yinlingquan (SP 9), Xuehai (SP 10), Zusanli (ST 36), etc.] and 3-4 distal acupoints [Fengshi (GB 31), Waiqiu (GB 36), Xuanzhong (GB 39), Zulinqi (GB 41), etc.]. The patients in the sham acupuncture group were treated with shallow needling technique at non-acupoint. The needles were retained for 30 min in both groups. All the treatment was given three times a week for 8 weeks. Knee injury and osteoarthritis outcome score (KOOS) were recorded before and after treatment and 18-week follow-up. RESULTS: Compared before treatment, the scores of 5 dimensions of KOOS [pain, symptoms (except pain), daily activities, sports and entertainment, and quality of life] were increased after treatment and during follow-up in the two groups ( CONCLUSION Acupuncture can reduce the pain symptoms and improve daily activities in patients with KOA.
Acupuncture Points ; Acupuncture Therapy ; Humans ; Knee Injuries ; Osteoarthritis, Knee/therapy* ; Quality of Life ; Treatment Outcome

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images. METHODS: Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists. RESULTS: The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%). CONCLUSIONS: The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists. TRIAL REGISTRATION Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; China ; Deep Learning ; Humans ; ROC Curve ; Sensitivity and Specificity

Classic prescriptions, hospital preparations and famous traditional Chinese medicine(TCM) experience prescriptions are the main sources of new drug development and innovation. The multi-components and multi-targets treatment characteristics of TCM are advantages, but at the same time, broad indications, unclear clinical positioning and lack of evidence-based evidence support are the key problems affecting the play of TCM efficacy and restricting its promotion and application. The hot in recent research was to how to break through the bottleneck, precise clinical positioning, highlight the advantages of the classic TCM prescriptions, and complete the transformation from clinical practice, clinical research to clinical evidence, but at the same time, it is also the difficulty. The clinical research model of the combination of disease and syndrome can fully reflect the ancient medical case evidence of classic TCM prescriptions, the historical experience of human used and the characteristics of syndrome differentiation and treatment, and highlight the advantages of Chinese medicine. At the same time, under the modern disease classification system and research mode, is conducive to established the standardized clinical evidence report and evaluation system, is conducive to promote the integration of clinical research evidence, and avoids excessive attenuation of information. Based on the previous work of our team, the intention of this study was to make a comment about the key points of the post-marketing evaluation of the classic TCM prescriptions under the combination of disease and syndrome and includes key points:(1)With the syndrome as the carrier, connected with the classical prescription and clinical diseases, focused on the clinical positioning on macroscopically.(2)The combination of syndrome visualization, standardization and pharmacological molecular basis, focus on clinical precise positioning in microscopic.(3)Innovating therapeutic effect evaluation methods, reflecting the curative effect characteristics based on syndrome differentiation.(4)The combination of "randomized controlled evidence-based studies" and "real world evidence-based evaluation", focusing on clinical advantages, fully evidence-based evidence.(5)Make full use of clinical registration studies and pay attention to safety.
Drugs, Chinese Herbal/therapeutic use* ; Humans ; Marketing ; Medicine, Chinese Traditional ; Prescriptions ; Reference Standards

OBJECTIVE: To investigate the relationship between single nucleotide polymorphisms (SNPs) of IKAROS family Zinc finger 3 (IKZF3) gene and the risk of acute lymphoblastic leukemia (ALL) in children. METHODS: The peripheral blood samples from 286 children with ALL and 382 healthy children were collected and divided into ALL group and control group, respectively. The genotypes of IKZF3 gene at rs62066988 C > T and rs12946510 C > T were detected by quantitative PCR with TaqMan detection system, and their correlation with ALL was analyzed. RESULTS: The distribution frequencies of CC, CT and TT genotypes at rs62066988 in ALL group were 58.39%, 37.06% and 4.55%, respectively, while those in control group were 69.19%, 27.68% and 3.13%, respectively. The distribution frequencies of CC, CT and TT genotypes at rs12946510 in ALL group were 58.16%, 34.75% and 7.09%, respectively, while those in control group were 55.76%, 37.43% and 6.81%, respectively. Compared with the control group, the distribution frequency of CT/TT genotype at rs62066988 was significantly increased in the ALL group (OR=1.59, 95%CI: 1.16-2.19, P=0.004). However, there was no significant difference in the distribution of rs12946510 C > T polymorphism between ALL group and control group. CONCLUSION The CT/TT genotype of IKZF3 at the site of rs62066988 is associated with the increased risk of ALL in children.
Alleles ; Case-Control Studies ; Child ; Gene Frequency ; Genetic Predisposition to Disease ; Genotype ; Humans ; Ikaros Transcription Factor/genetics* ; Polymorphism, Single Nucleotide ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics*