Objective: To investigate characteristics of colorectal cancer incidence and mortality in registration areas of Guangdong Province in 2020, so as to provide a basis for optimizing regional prevention and control strategies. Methods: Data on incidence and mortality of colorectal cancer in cancer registration areas of Guangdong Province in 2020 were collected from the Cancer Follow-up Registration System and the All-Cause Mortality Registration Reporting System of the Guangdong Provincial Center for Disease Control and Prevention. The crude incidence, crude mortality, truncated rate for 35 to 64 years, and cumulative rate for 0 to 64 years were calculated, and standardized using the Segi's world standard population. Descriptive epidemiological methods were applied to analyze the characteristics of colorectal cancer incidence and mortality by different genders, urban/rural areas and ages. Results: A total of 14 771 cases of colorectal cancer were reported in Guangdong Province in 2020. The crude incidence, world population-standardized incidence, truncated incidence for 35 to 64 years and cumulative incidence for 0 to 64 years were 35.18/100 000, 24.84/100 000, 38.87/100 000 and 1.37%, respectively. A total of 5 384 deaths of colorectal cancer were reported, with crude incidence, world population-standardized incidence, truncated incidence for 35 to 64 years and cumulative incidence for 0 to 64 years were 14.55/100 000, 8.83/100 000, 10.39/100 000 and 0.37%, respectively. The crude incidence and mortality were higher in males than in females (40.35/100 000 vs. 29.88/100 000, 16.51/100 000 vs. 12.54/100 000, both P<0.05). The crude incidence and mortality were higher in urban areas than in rural areas (38.94/100 000 vs. 26.10/100 000, 16.60/100 000 vs. 10.42/100 000, both P<0.05). The crude incidence of colorectal cancer initially increased with advancing age (P<0.05), reaching a peak of 239.36/105 in the 80-<85 age group, followed by a marked decline after 85 years. The crude mortality of colorectal cancer increased with advancing age (P<0.05), reaching a peak of 174.25/100 000 in the ≥85 years age group. Conclusions In 2020, the incidence and mortality of colorectal cancer in registration areas of Guangdong Province were higher than the national averages. There were differences in the characteristics of incidence and mortality among genders, urban/areas and age. Therefore, it is necessary to strengthen the comprehensive prevention and control efforts for colorectal cancer in males, urban areas, and the elderly population.

Objective: To investigate the epidemiological characteristics of lung cancer in cancer registration areas of Guangdong Province in 2020, so as to provide the evidence for improving prevention and control strategies of lung cancer. Methods: Data of incidence and mortality in 2020 from 30 cancer registries in Guangdong Province were collected from the Cancer Follow-up Registration System and the All-Cause Mortality Registration Reporting System of the Guangdong Provincial Center for Disease Control and Prevention. The crude incidence, crude mortality, and cumulative rate for 0 to 74 years were calculated. The Chinese population-standardized rate and world population-standardized rate were calculated using the age structure of the standard population from the Fifth National Population Census in 2000 and Segi's world standard population. The incidence and mortality characteristics of lung cancer in different genders, urban/rural areas and ages were described. Results: In 2020, there were 25 357 new cases of lung cancer in Guangdong Province. The crude incidence, Chinese population-standardized incidence, world population-standardized incidence, and cumulative incidence for 0 to 74 years were 60.40/100 000, 43.75/100 000, 43.26/100 000, and 5.30%, respectively. There were 14 366 lung cancer deaths. The crude mortality, Chinese population-standardized mortality, world population-standardized mortality, and cumulative mortality for 0 to 74 years were 38.82/100 000, 24.49/100 000, 24.36/100 000, and 2.88%, respectively. The crude incidence and crude mortality of lung cancer in males were higher than those in females (71.19/100 000 vs. 49.42/100 000, 52.94/100 000 vs. 24.36/100 000, both P<0.05). The crude incidence and crude mortality of lung cancer in urban areas were higher than those in rural areas (66.37/100 000 vs. 45.95/100 000, 40.68/100 000 vs. 35.07/100 000, both P<0.05). The crude incidence and crude mortality of lung cancer exhibited upward trends with increasing age (both P<0.05), peaking in the age of 80-<85 years (347.97/100 000 and 342.14/100 000). Conclusions Comparing to the national data, the incidence of lung cancer in registration areas of Guangdong Province remained relatively high, while mortality remained relatively low. Males, urban residents and the elderly constitute the key populations for lung cancer prevention and control. It is recommend to optimize the allocation of medical resources between urban and rural areas and strengthen lung cancer screening among high-risk groups.

Humans ; Alzheimer Disease ; Cross-Sectional Studies ; Creatine Kinase ; Brain/metabolism*

Currently， there are many difficulties in formulating recommendations of traditional Chinese medicine （TCM） clinical practice guidelines. This paper analyzed and summarized the unique or prominent difficult issues in the formulation of recommendations faced by TCM guidelines， such as experts' professional background and experience bringing about the preferance from the academic emotion， inconsistency between different academic schools making it difficult to reach consensus， lack of guiding principles of the decision weight of different dimensions for recommendations. Therefore， methodological suggestions have been put forward， including organizing parallel TCM and western medicine consensus group， improving the method of combining TCM and western medicine paradigm， attaching great importance to the evidence-based governance of academic schools， and promoting the research on different dimensions for recommendation formulation， which may provide a methodological reference for the guideline development.

Objective To evaluate the effectiveness and safety of moxibustion for knee osteoarthritis and the methodological quality of systematic reviews(SRs).Methods SRs of moxibustion for knee osteoarthritis were retrieved from CNKI,VIP,Wanfang Data,SinoMed,PubMed,Cochrane Library,Embase and Web of Science was conducted from the establishment of the databases to February 10,2022.AMSTAR 2 was used to assess the methodological quality of SRs.The randomized controlled trials(RCTs)included in these SRs were screened and summarized according to inclusion standard.RevMan 5.4 software was used for Meta-analysis,and GRADE approach was used to assess the certainty of evidence.Results A total of 15 SRs were included.The evaluation results of the AMSTAR 2 showed that the methodological quality was very low for 14 SRs,and low for other 1 SR.A total of 36 RCTs were included.Meta-analysis results showed that compared with the non-steroidal anti-inflammatory drugs(NSAIDs),the moxibustion group had better effects on improvement of WOMAC scores[mean difference(MD)=-5.95;95%confidence interval(CI):-9.25 to-2.65;low quality],relieving pain[MD=-1.26;95%CI:-2.19 to-0.32;very low quality],and improving effective rate[risk ratio(RR)=1.16;95%CI:1.11 to 1.22;low quality].In the moxibustion group,some patients experienced blisters,and most healed in 3 days.Conclusion Moxibustion has advantages in pain reduction and improving effective rate compared with routine Western therapy for knee osteoarthritis.However,well-designed high-quality RCTs are needed for further verification.

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to find a light-weight,convenient prediction method through machine learning. METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation. RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the five most important features were acuity,arrival transportation,age,shock index,and respiratory rate. CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.

OBJECTIVE To establish high performance liquid chromatography(HPLC)fingerprints of the extract of Fructus Li-gustri Lucidi-Ecliptae Herba and to identify the structure of its chemical constituents.METHODS The chromatographic separation was performed on ZORBAX Extend C18(250 mm×4.6 mm,5 μm)column with the mobile phase consisting of acetonitrile and 0.1%formic acid solution in gradient elution mode at a flow rate of 1.0 mL·min-1.The optimum column temperature was set at 35℃,the detection wavelength was 265 nm,and the injection volume was 10 μL.The HPLC fingerprints of 15 batches of herb pair from different origins were established.Then,similarity evaluation,cluster analysis,and orthogonal partial least squares discriminant analysis were carried out.The chemical structures of the constituents of the herb pair were identified based on the high-resolution mass spectrometry utilizing the UPLC-Q-Exactive Orbitrap MS in positive and negative-ion modes.RESULTS As a result,the similarity of the 15 bat-ches of samples varied from 0.865 to 0.992.A total of 16 common peaks were identified in the fingerprints,and 7 of them were identi-fied by comparision with the reference substances.Furthermore,55 chemical compounds were detected,and 7 of them were accurately identified based on the reference substances,and the chemical structures of the rest 48 components were temporarily speculated.CON-CLUSION The fingerprint method established in this study is simple,reliable,and reproducible,and can be further used for the quality control of Fructus Ligustri Lucidi-Ecliptae Herba herb pair.The developed UPLC-Q-Exactive Orbitrap MS method can be applied to identify the structures of chemical constituents in this herb pair and lay a foundation for further research.

Currently, there are practical and technical difficulties in the construction of clinical questions in the development of clinical practice guidelines. Clinicians or guideline developers seldom construct clinical questions based the actual case scenario, leading to some information loss between structured and actual clinical connotation. To overcome this challenge, we proposed a case-guided questions construction approach, and carried out case research and verification in the formulation of the guideline. We found that this method could more efficiently and scientifically assist the formulation of clinical questions, and provide reference for clinicians or guideline developers.

With the development and application of technologies such as facial scanning, intraoral scanning, virtual facebow and mandibular movement tracking in prosthodontics, dynamic virtual patients are gradually applied to preoperative analysis, esthetic diagnosis, treatment planning, and restorative implementation, becoming a research hotspot in recent years. This review focuses on data acquisition, construction of dynamic virtual patients and their application advantages, aiming to provide a reference for the clinical application of related digital technologies.

Syndrome differentiation and treatment is a unique mode of diagnosis in traditional Chinese medicine （TCM）. The establishment of scientific and standardized syndrome diagnosis standards is an important link to evaluate the clinical efficacy of TCM objectively and systematically， and also a prerequisite for the promotion and development of TCM to obtain international recognition. This article reviewed the basic modes and existed problems of the current syndrome diagnosis criteria， and proposed to construct a multidimensional core information set integrating the minimized core symptoms， the artificial intelligence signs， the multi-modal laboratory indicators， and multi-omics specific markers， so as to present syndrome characteristics from multiple perspectives systematically. This paper also described the basic mode， constructure， as well as the process and methodology to be adopted in the establishment of the standardized diagnostic research method. The core information set of diagnostic symptoms not only took into account the specificity of the disease， but also improved the inconsistency due to the complexity and subjectivity of the syndrome differentiation， thereby providing a methodological basis for the standardization of TCM syndrome differentiation in clinical research.