Objective To evaluate the variability of four parameters of multi-focal electroretinogram (mERG) a-wave amplitude, b-wave amplitude, awave latent period, b-wave latent period. Methods Sixty normal eyes of 46 volunteers were divided into 3 groups of different ages. RETIscan 3-12 system was used to carry out mERG examination. The stimulus matrix of 61 hexagonal elements spanning the central 24deg;of the visual field. These hexons were scaled with eccentricity and divide d into 5 rings. First-order kernel was selected. Results The variability of four parameters of mERG was great. The variability of b-wave latent period was the smallest, its coefficient of variatian was 4.52%～15.62%；that of a-wave latent period held the second place:10.29%~48.67%；that of b-wave amplitude was greater:25.92%~76.11%；that of a-wave amplitude was the greatest:43.82%~88.23%. The results of three groups showed that b-wave amplitude of ring 1 had the smallest variability. Conclusions The variability of latent period is smaller than that of amplitude; the variability of b-wave was smaller than that of a-wave. The longer the centrifugal distance, the lower the amplitude density of a-wave and b-wave. Physiological and anatomical factors might be important for the variability of parameters of multi-focal electroretinogram. (Chin J Ocul Fundus Dis, 2001,17:277-279)
Objective To systematically review the health state utility values in patients with schizophrenia, and to provide references for subsequent studies on the health economics of schizophrenia. Methods The PubMed, EMbase, The Cochrane Library, Web of Science, CNKI, WanFang Data, and VIP databases were searched from inception to December 1st, 2021 to collect studies on health state utility values in patients with schizophrenia. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed by Stata 15.0 software. Results A total of 19 studies were included. Patients’ utility values were 0.68 (95%CI 0.59 to 0.77) for direct measures, and 0.77 (95%CI 0.75 to 0.80) and 0.66 (95%CI 0.61 to 0.70) for indirect measures with the EQ-5D-5L and EQ-5D-3L as the primary scales. Utility values varied with measures, tariffs, regions, and populations. Conclusion Studies on health state utility value in schizophrenia are diversified in measurement methods, showing high inter-study heterogeneity. Therefore, it is necessary to promote the study on utility value measurement in schizophrenia in China.
ObjectiveThe diagnostic efficacy of long non-coding RNA (lncRNA) for tuberculosis was evaluated by systematic review. MethodsData from PubMed, Web of Science, Cochrane Library, Embase, CMJFD, CNKI and WanFang Data were searched. Literatures on the diagnostic value of lncRNA in tuberculosis from the database establishment to August 20, 2024 were selected, and the quality of literatures was assessed using QUADAS-2 tool. Meta-Disc 1.0 software tested the threshold heterogeneity of the included studies. Stata 18.0 software calculated sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and other effect sizes, and performed subgroup analysis and meta regression to explore the source of heterogeneity. Deeks funnel plot evaluates publication bias. Results A total of 28 case-control studies were included in 14 literatures. The meta-results showed that the combined sensitivity was 0.88 (95%CI 0.81 to 0.93), the specificity was 0.90 (95%CI 0.84 to 0.94), and the PLR was 9.05 (95%CI 5.16 to 15.87). The NLR and DOR were 0.13 (95%CI 0.08 to 0.22) and 67.96 (95%CI 27.27 to 169.39), and the AUC were 0.95 (95%CI 0.93 to 0.97). Subgroup analysis showed that lncRNA was more effective in the diagnosis of tuberculosis when PMBC samples, lncRNA expression was down-regulation, the study sample size was ≤100, there was cut-off value, GAPDH was used as the internal reference, and RNA extraction kit was used. meta regression indicated that lncRNA expression level and sample size were the main sources of heterogeneity. Conclusion LncRNA has high accuracy in the diagnosis of tuberculosis, and is expected to become a new biomarker to assist the diagnosis of tuberculosis.
Objective To investigate the relationship between preoperative hemoglobin, albumin, lymphocyte and platelet (HALP) score, and clinicopathologic features of colon cancer, and to analyze the predictive value of HALP score for postoperative liver metastasis. Methods The clinical data of 163 patients with colon cancer admitted to the 909th Hospital of Joint Logistic Support Force (Dongnan Hospital of Xiamen University) from January 2018 to December 2019 were retrospectively analyzed. According to the occurrence of postoperative liver metastasis, the patients were divided into metastatic group (n=35) and non-metastatic group (n=128). The correlation between preoperative HAPL score and clinicopathologic features of colon cancer was analyzed. The predictive value of HALP score for postoperative liver metastasis of colon cancer was analyzed by using receiver operating characteristic (ROC) curve. The risk factors of liver metastasis after colon cancer surgery were analyzed by using univariate and multivariate logistic analysis. Kaplan-Meier risk curve was drawn, and log-rank test was used to analyze the predictive value of different HALP score for postoperative liver metastasis. Results HALP score were decreased in patients with maximum tumor diameter ≥5 cm, preoperative carcinoembryonic antigen (CEA) ≥5 μg/L, serous membrane and extrasserous infiltration, lymph node metastasis and vascular invasion, and the difference was statistically significant (P<0.05). Multivariate logistic regression analysis showed that HALP score [OR=1.467, 95%CI (1.253, 1.718), P<0.001], maximum tumor diameter [OR=3.476, 95%CI (1.475, 5.358), P=0.013], preoperative CEA level [OR= 6.197, 95%CI (2.436, 6.248), P=0.005], and lymph node metastasis [OR=2.593, 95%CI (1.667, 6.759) , P=0.003] were risk factors for postoperative liver metastasis of colon cancer. ROC curve analysis showed that the area under the curve of HALP score for predicting liver metastasis after colon cancer surgery was 0.908 (0.841, 0.974), the maximum value of the Youden index was 0.738, the optimal cut-off value of the HALP score was 35.5, the sensitivity was 0.852, the specificity was 0.886. Kaplan-Meier risk curve showed that the risk of early postoperative liver metastasis in the low HALP score group was higher than that in the high HALP score group (χ2=8.126, P=0.004). Conclusion Low HALP score in patients with colon cancer is associated with adverse prognosisi related pathological features, and is an influential factor for postoperative liver metastasis of colon cancer, and has predictive value for patients with postoperative liver metastasis of colon cancer.
As the most important refraction part in the optical system, cornea possesses characteristics which are important parameters in ophthalmology clinical surgery. During the measurement of the cornea in our study, we acquired the corneal data of Orbscan Ⅱ corneal topographer in real time using the Hook technology under Windows, and then took the data into the corneal analysis software. We then further analyzed and calculated the data to obtain individual Q-value of overall corneal 360 semi-meridian. The corneal analysis software took Visual C++6.0 as development environment, used OpenGL graphics technology to draw three-dimensional individual corneal morphological map and the distribution curve of the Q-value, and achieved real-time corneal data query. It could be concluded that the analysis would further extend the function of the corneal topography system, and provide a solid foundation for the further study of automatic screening of corneal diseases.
Couinaud first proposed the naming of S9 segment of liver in 1994, and Liu Yunyi further promoted this naming in his work “Applied Anatomy of Hepatectomy and Liver Transplantation” in 2016. However, it has not been widely recognized and supported in the field of liver surgery for a long time. In recent years, due to the promotion and gradual maturity of endoscopic technology, there has been a more detailed understanding and demand for anatomy of liver and bile duct. Therefore, this article further explores the clinical value and significance of S9 segment of liver.
ObjectiveTo discuss the application and effect of PDCA cycle in urgent values management in surgical intensive care unit. MethodsWe analyzed the quality of 141 cases of urgent value reports in surgical intensive care unit from May to July 2013 before the application of PDCA management. The quality of urgent values were totally controlled by PDCA circle. There were 135 cases of urgent value reports after the use of PDCA cycle. The data including qualify rate of specimens, record specification rate, and handover of urgent values were compared between the two groups of urgent values. ResultsAfter the application of PDCA cycle management, the awareness rate of urgent value content and disposal processes among medical staffs increased from 75% to 95%, with significant improvement in the quality rate of samples, recording and processing of urgent values and the quality rate of recording. ConclusionThe application of PDCA circle management can constantly correct the problems and ensure the policy implementation in the urgent values system in clinical departments, which can promote continuous quality improvement.
ObjectiveTo evaluate the diagnostic value of artificial intelligence (AI)-assisted diagnostic system for pulmonary cancer based on CT images.MethodsDatabases including PubMed, The Cochrane Library, EMbase, CNKI, WanFang Data and Chinese BioMedical Literature Database (CBM) were electronically searched to collect relevant studies on AI-assisted diagnostic system in the diagnosis of pulmonary cancer from 2010 to 2019. The eligible studies were selected according to inclusion and exclusion criteria, and the quality of included studies was assessed and the special information was identified. Then, meta-analysis was performed using RevMan 5.3, Stata 12.0 and SAS 9.4 softwares. The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio were pooled and the summary receiver operating characteristic (SROC) curve was drawn. Meta-regression analysis was used to explore the sources of heterogeneity.ResultsTotally 18 studies were included with 4 771 patients. Random effect model was used for the analysis due to the heterogeneity among studies. The results of meta-analysis showed that the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnosis odds ratio and area under the SROC curve were 0.87 [95%CI (0.84, 0.90)], 0.89 [95%CI (0.84, 0.92)], 7.70 [95%CI (5.32, 11.15)], 0.14 [95%CI (0.11, 0.19)], 53.54 [95%CI (30.68, 93.42)] and 0.94 [95%CI (0.91, 0.95)], respectively.ConclusionAI-assisted diagnostic system based on CT images has high diagnostic value for pulmonary cancer, and thus it is worthy of clinical application. However, due to the limited quality and quantity of included studies, above results should be validated by more studies.
ObjectivesTo systematically review the diagnostic value of GerdQ questionnaire for diagnosing the gastro-oesophageal reflux disease (GERD).MethodsPubMed, Web of Science, EBMR, CNKI, CBM, VIP and WanFang Data databases were searched to collect studies on the diagnostic value the GerdQ questionnaire in diagnosing the GERD from inception to January 1st 2018. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then meta-analysis was performed by using Meta-Disc 1.4 software. We used the Stata 12.0 software to assess the publication bias with funnel plots.ResultsA total of 20 studies were enrolled, including 7 978 patients. Among them, 4 848 patients were confirmed with GERD. The results of meta-analysis showed that: a) The pooled sensitivity, specificity, +LR, −LR, and DOR were 0.79 (95%CI 0.78 to 0.81), 0.66 (95%CI 0.65 to 0.68), 2.28 (95%CI 1.77 to 2.94), 0.37 (95%CI 0.27 to 0.52) and 6.34 (95%CI 3.59, 11.19), SROC(AUC) was 0.789 3, and Q* was 0.726 6. b) When the cut-off was 7, the diagnostic accuracy of GerdQ questionnaire for the GERD was the highest, and that of 9 was the second. c) The diagnostic accuracy of GerdQ questionnaire was higher when it was used in China.ConclusionsGerdQ questionnaire has a moderate accuracy for the diagnosis of GERD, which can be a useful complementary tool for diagnosing GERD, and can be popularized in clinical settings. Due to limitation of quantity and quality of included studies, the above conclusions requires verification by more high quality studies.
Objective To investigate the clinical application value of GeneXpert Mycobacterium tuberculosis (MTB)/ rifampin (RIF) in urine samples for tuberculosis diagnosis. Methods The patients with clinically highly suspected tuberculosis admitted to West China Hospital of Sichuan University between January 1, 2018 and June 1, 2023 were selected retrospectively. The diagnostic efficacy of urine GeneXpert MTB/RIF detection, such as sensitivity, specificity, positive predictive value, and negative predictive value, were retrospectively analyzed to evaluate its clinical value in the diagnosis of tuberculosis. Correlation analysis was further conducted to explore the correlation between positive levels of GeneXpert MTB/RIF in urine samples and laboratory test indicators. Results A total of 400 patients were included. Among them, 163 cases were in the clinical tuberculosis group and 237 cases were in the clinical non tuberculosis group. In the clinical tuberculosis group, 112 cases were urogenital tuberculosis patients and 51 cases were non-urogenital tuberculosis patients. The sensitivity, specificity, positive predictive value, and negative predictive value of urine GeneXpert MTB/RIF in the diagnosis of tuberculosis were 55.2%, 97.5%, 93.8% and 76.0%, respectively. The sensitivity, specificity, positive predictive value, and negative predictive value of urine GeneXpert MTB/RIF in the diagnosis of urogenital tuberculosis were 65.2%, 92.0%, 76.0% and 87.2%, respectively, and the diagnostic sensitivity was further improved. Correlation analysis showed that the positive degree of urine GeneXpert MTB/RIF was correlated with the levels of hemoglobin, serum total protein, blood serum albumin, and other indicators. Conclusions Urine GeneXpert MTB/RIF detection offers high sensitivity and specificity in the diagnosis of tuberculosis, especially in urogenital tuberculosis, which is helpful for the early and rapid diagnosis of tuberculosis patients. The positive degree reported by the GeneXpert MTB/RIF in urine may indicate disease severity.