Lung cancer is a malignant tumor with the highest incidence and mortality in China. Early diagnosis and early treatment is the key to improve the survival and prognosis of patients with lung cancer. In recent years, many studies have focused on biomarkers of lung cancer. Emerging biomarkers tests have shown some potential in lung cancer screening. Combining biomarkers, imaging omics and artificial intelligence to establish a comprehensive model for lung cancer screening and prediction may be the development direction for improving lung cancer screening in the future. This paper summarizes the application of biomarkers in lung cancer screening, introduces the emerging biomarkers and new technologies, and discusses the application prospects of biomarkers in lung cancer screening, in order to providea theoretical basis for improving screening, early diagnosis and early treatment of lung cancer.
During the prevention and control of coronavirus disease 2019, West China Hospital of Sichuan University urgently set up 4 medical tents to conduct centralized screening of fever patients, effectively avoiding cross-infection, and at the same time alleviating the pressure on the Department of Emergency Medicine and improving the efficiency of medical treatment for patients with fever. Later, in order to actively respond to China’s severe acute respiratory syndrome coronavirus 2 nucleic acid detection policy, 5 tents were adjusted to carry out the severe acute respiratory syndrome coronavirus 2 nucleic acid detection. This article introduces the function setting, personnel arrangement and protective measures of medical tents in West China Hospital of Sichuan University during the prevention and control of coronavirus disease 2019. It aims to share the experience of urgently setting up medical tents in the prevention and control of coronavirus disease 2019, with a view to provide a reference for the construction of medical tents in other medical institutions.
ObjectiveTo study the efficiency and difference of the artificial intelligence (AI) system based on fundus-reading in community and hospital scenarios in screening/diagnosing diabetic retinopathy (DR) among aged population, and further evaluate its application value. MethodsA combination of retrospective and prospective study. The clinical data of 1 608 elderly patients with diabetes were continuously treated in Henan Eye Hospital & Henan Eye Institute from July 2018 to March 2021, were collected. Among them, there were 659 males and 949 females; median age was 64 years old. From December 2018 to April 2019, 496 elderly diabetes patients were prospectively recruited in the community. Among them, there were 202 males and 294 female; median age was 62 years old. An ophthalmologist or a trained endocrinologist performed a non-mydriatic fundus color photographic examination in both eyes, and a 45° frontal radiograph was taken with the central fovea as the central posterior pole. The AI system was developed based on the deep learning YOLO source code, AI system based on the deep learning algorithm was applied in final diagnosis reporting by the "AI+manual-check" method. The diagnosis of DR were classified into 0-4 stage. The 2-4 stage patients were classified into referral DR group. ResultsA total of 1 989 cases (94.5%, 1 989/2 104) were read by AI, of which 437 (88.1%, 437/496) and 1 552 (96.5%, 1 552/1 608) from the community and hospital, respectively. The reading rate of AI films from community sources was lower than that from hospital sources, and the difference was statistically significant (χ2=51.612, P<0.001). The main reasons for poor image quality in the community were small pupil (47.1%, 24/51), cataract (19.6%, 10/51), and cataract combined with small pupil (21.6%, 11/51). The total negative rate of DR was 62.4% (1 241/1 989); among them, the community and hospital sources were 84.2% and 56.3%, respectively, and the AI diagnosis negative rate of community source was higher than that of hospital, and the difference was statistically significant (χ2=113.108, P<0.001). AI diagnosis required referral to DR 20.2% (401/1 989). Among them, community and hospital sources were 6.4% and 24.0%, respectively. The rate of referral for DR for AI diagnosis from community sources was lower than that of hospitals, and the difference was statistically significant (χ2=65.655, P<0.001). There was a statistically significant difference in the composition ratio of patients with different stages of DR diagnosed by AI from different sources (χ2=13.435, P=0.001). Among them, community-derived patients were mainly DR without referral (52.2%, 36/69); hospital-derived patients were mainly DR requiring referral (54.9%, 373/679), and the detection rate of treated DR was higher (14.3%). The first rank of the order of the fundus lesions number automatically identified by AI was drusen (68.4%) and intraretinal hemorrhage (48.5%) in the communities and hospitals respectively. Conclusions It is more suitable for early and negative DR screening for its high non-referral DR detection rate in the community. Whilst referral DR were mainly found in hospital scenario.
ObjectiveTo systematically review the value of mass screening of serum pepsinogen test for Asian population with high-risk gastric carcinoma. MethodsWe electronically searched databases including PubMed, EMbase, The Cochrane Library (Issue 12, 2013), CNKI, WanFang Data, VIP and CBM for diagnostic tests on serum pepsinogen test versus with pathological biopsy/X-ray examination (gold standard) between January 2004 and January 2014. Two reviewers independently screened literature according to the inclusion and exclusion criteria, extracted data, and assessed methodological quality of included studies. Then meta-analysis was conducted using Meta-DiSc software (version 1.4). ResultsA total of 15 studies involving 180 934 subjects were included. ROC curve showed "shoulder-arm shape" distribution. The results of Spearman correlation analysis suggested a significance of the threshold effect (P=0.001). The results of meta-analysis showed that, the area under curve (AUC) was 0.74. ConclusionSerum pepsinogen has good value in the screening of gastric carcinoma among Asian permanent residents. Due to limited quality of studies, the above conclusion should be verified by conducting more high quality studies.
Colorectal cancer (CRC) screening is effective in reducing the burden of the disease. Participation rate is an important determinant of the magnitude of the effectiveness in population-based CRC screening. We summarize the current status of participation rate across the different organized CRC screening programs in China. The results indicate that the overall participation rates are low, and the acceptance of the screening protocols is poor in Chinese population. We conclude that the associated factors may include the poor health consciousness, low willingness-to-pay for screening, lack of personalized screening strategy and inadequate organization. Studies on the inventions to improve the willingness of screening and participation rate are of high demand and will provide important references in implementing large-scale CRC screening programs in China in the future.
ObjectiveTo systematically review the diagnostic efficacy of abbreviated magnetic resonance imaging sequence (AMRI) screening for hepatocellular carcinoma (HCC). MethodsPubMed, EMbase, The Cochrane Library, Web of Science, CNKI, WanFang Data and VIP databases were electronically searched to collect studies on the diagnostic efficacy of AMRI screening for HCC from inception to March 2022. Two reviewers independently screened the literature, extracted data and assessed the risk of bias of the included studies; then, meta-analysis was performed by using Stata 16.0 software. ResultsA total of 15 studies involving 2 823 participants were included. The results of meta-analysis showed that combined sensitivity and specificity of AMRI for HCC were 0.85 (95%CI 0.83 to 0.87) and 0.93 (95%CI 0.90 to 0.94). Subgroup analysis showed that, the combined sensitivity and specificity of NC AMRI and HBP AMRI were 0.84 (95%CI 0.81 to 0.87), 0.92 (95%CI 0.88 to 0.95) and 0.88 (95%CI 0.84 to 0.91), 0.93 (95%CI 0.91 to 0.94), respectively. The combined sensitivity and specificity of T2+DWI+HBP in HBP AMRI had the highest diagnostic efficacy. ConclusionCurrent evidence shows that all AMRI protocols have acceptable sensitivity and specificity for HCC screening. Among them, T2+DWI+HBP protocol shows the highest diagnostic efficiency. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.
ObjectiveTo explore the nutritional status of inpatients with chronic kidney disease (CKD) and analyze the factors affecting nutritional risk, to provide theoretical basis for further nutritional support.MethodsConvenience sampling method was adopted to select 719 inpatients with CKD as research subjects in a tertiary hospital in Chengdu, Sichuan Province from January to March 2018. Nutritional Risk Screening 2002 was used for nutritional risk screening, and chi-square test, t test, one-way analysis of variance, and multiple linear regression analysis were used to explore the influencing factors of nutritional risk.ResultsAmong the 719 cases, whose average nutritional risk score was 1.79±1.11, 158 cases had nutritional risk, accounting for 22.0%. There were statistically significant differences in nutritional risk score between patients of age<60 years and ≥60 years, between males and females, between patients with CKD stage 1-3 and stage 4-5, between patients with serum albumin level <30 g/L and ≥30 g/L, and between patients with and without anaemia (P<0.05). The results of multiple linear regression analysis showed that the nutritional risk score of CKD patients was negatively correlated to serum albumin level (P=0.016), positively correlated to age (P<0.001), and higher in females than that in males (P=0.001).ConclusionsInpatients with CKD have a higher nutritional risk, with age, gender and serum albumin as the main influencing factors. Based on the above factors, the medical staff should continue to take targeted intervention measures to assess the nutritional status of CKD inpatients early and conveniently, so as to provide scientific basis for further nutritional support and nutritional nursing.
Objective To investigate the nutritional status of hospitalized patients with chronic kidney disease (CKD), analyze the influencing factors, and construct a predictive model to provide a localized theoretical basis and more convenient risk prediction indicators and models for clinical nutrition support and intervention treatment of CKD patients in China. Methods Convenience sampling was used to select hospitalized CKD patients from Department of Nephrology, West China Hospital, Sichuan University, from January to October 2019. General information questionnaires, the Nutritional Risk Screening 2002 scale, and the Huaxi Emotional-distress Index questionnaire were used for data collection. Single factor analyses and multiple logistic regression analysis were conducted to explore the risk factors for malnutrition in CKD hospitalized patients. A predictive model was established and evaluated using receiver operating characteristic (ROC) curve analysis and bootstrap resampling. Results A total of 1059 valid copies of questionnaires were collected out of 1118 distributed. Among the 1059 CKD hospitalized patients, 207 cases (19.5%) were identified as having nutritional risk. The multiple logistic regression analysis showed that CKD stage [odds ratio (OR)=1.874, 95% confidence interval (CI) (1.631, 2.152), P<0.001], age [OR=1.015, 95%CI (1.003, 1.028), P=0.018], and the Huaxi Emotional-distress Index [OR=1.024, 95%CI (1.002, 1.048), P=0.033] were independent risk factors for malnutrition in CKD hospitalized patients, while serum albumin [OR=0.880, 95%CI (0.854, 0.907), P<0.001] was an independent protective factor. The evaluation of the multiple logistic regression analysis predictive model showed a concordance index of 0.977, standard deviation of 0.021, and P<0.05. The area under the ROC curve was 0.977. Conclusions The prevalence of malnutrition is relatively high among CKD hospitalized patients. CKD stage, age, psychological status, and serum albumin are influencing factors for malnutrition in CKD hospitalized patients. The multiple logistic regression model based on the above indicators demonstrates good predictive performance and is expected to provide assistance for early nutritional intervention to improve the clinical outcomes and quality of life for CKD patients with malnutrition in China.
Neuroblastoma (NB) is the most common extracranial solid malignant tumor in children. NB has various clinical manifestations, many of which are not specific, which ultimately lead to the delayed diagnosis of the tumor. In order to provide guidance for the identification of paediatric NB, the guideline for the identification and referral of suspected paediatric neuroblastoma is formulated and complied using a standard formulation process, and has received input from multidisciplinary experts, based on existing evidence, clinical practices and China's national conditions.
Objective To investigate the incidence of retinopathy of prematuri ty (ROP) in the area of Shanghai, and to provide the preliminary data for the ev aluation of present criteria for ROP screening. Methods Record s of 289 prematur e infants who had undergone ROP screening from the four NICU in Shanghai between February 2004 and January 2005 were analyzed. Screening criteria included prete rm infants or low birth weight (LBW) infants with BW of 2000g or less. The first examination starts at 4 to 6 weeks chronologic age or 32 weeks post conceptual age. Results In the 289 screened infants, 19 had developed acu te ROP. There we re 3 threshold ROP, 7 prethreshold ROP and 9 developed ROP less than prethreshol d. The incidence of ROP was 6.6%. According to the British recommended guideline s（BWle;1500 g or GAle;31 weeks）, only 119 out of 289 needed screening and one ca se of stage 1 ROP was missed; the incidence of ROP was 15.1% (18/119). When lowered sc reening criteria to the American guidelines（BWle;1500g or GAle;28 weeks）, t here were only 83 infants needed screening, and we missed 2 stage 1 and 1 prethreshold ROP and the incidence of ROP was 19.3% (16/83). Conclusions The i ncidence of ROP i s 6.6% according to our study. It is lower than other reports and it has somethi ng to do with our present screening guideline. Further epidemiological data are needed to modify the guideline accordingly.