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Dive into the research topics where Ke-Qing Shi is active.

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Featured researches published by Ke-Qing Shi.


Liver International | 2013

Transient elastography: a meta-analysis of diagnostic accuracy in evaluation of portal hypertension in chronic liver disease

Ke-Qing Shi; Yu-Chen Fan; Zhenzhen Pan; Xian-Feng Lin; Wen-Yue Liu; Yong-Ping Chen; Ming-Hua Zheng

Transient elastography (TE), as a non‐invasive method, has been studied for evaluation of portal hypertension in patients with chronic liver diseases (CLD) with variable results. We studied the performance of TE for detection of significant portal hypertension, oesophageal varices and large oesophageal varices using meta‐analysis.


Journal of Gastroenterology and Hepatology | 2014

Controlled attenuation parameter for the detection of steatosis severity in chronic liver disease: a meta-analysis of diagnostic accuracy.

Ke-Qing Shi; Jun-Zhou Tang; Xue-Lian Zhu; Li Ying; De-Wei Li; Jian Gao; Yu-Xiao Fang; Guiling Li; Yi-Jiang Song; Zhu-Jun Deng; Jianmin Wu; Kai-Fu Tang

Controlled attenuation parameter (CAP) is a novel ultrasound‐based elastography method for detection of steatosis severity. This meta‐analysis aimed to assess the performance of CAP.


Clinical Gastroenterology and Hepatology | 2011

A Model to Determine 3-Month Mortality Risk in Patients With Acute-on-Chronic Hepatitis B Liver Failure

Ming-Hua Zheng; Ke-Qing Shi; Yu–Chen Fan; Hai Li; Chao Ye; Qiong–Qiu Chen; Y.-P. Chen

BACKGROUND & AIMS Liver failure has high mortality. There are accurate but controversial models to determine mortality of patients with acute-on-chronic hepatitis B liver failure (ACHBLF). We developed a logistic regression model (LRM) and tested its ability to predict the 3-month mortality of patients with ACHBLF. METHODS The LRM was constructed using data from an internal cohort of 242 consecutive patients with ACHBLF and was tested on an external cohort of 210 patients with the same conditions. The receiver operating characteristic curves were calculated for the LRM, model of end-stage liver disease (MELD), Child-Pugh score (CPS), and a previously reported LRM that has not yet been validated in patients with ACHBLF. Predictions of 3-month mortality obtained with 4 models from the same datasets were compared using areas under receiver operating characteristic curves. RESULTS The LRM identified 5 independent factors associated with survival of patients with ACHBLF: hepatic encephalopathy (odds ratio [OR], 2.165; 95% confidence interval [CI], 1.015-4.616), hepatorenal syndrome (OR, 9.767; 95% CI, 4.273-22.328), cirrhosis (OR, 2.339; 95% CI, 1.110-4.930), hepatitis B e antigen (OR, 2.874; 95% CI, 1.376-6.003), and prothrombin activity/age (OR, 0.12; 95% CI, 0.037-0.395). Data from the internal and external cohorts indicated that the LRM had significantly greater prognostic accuracy than the MELD, CPS, or previous LRM. CONCLUSIONS We developed a logistic regression model that predicted the 3-month mortality of patients with ACHBLF with greater accuracy than the MELD, CPS, or the previous LRM.


Molecular Biology Reports | 2012

Traditional Chinese medicines benefit to nonalcoholic fatty liver disease: a systematic review and meta-analysis

Ke-Qing Shi; Yu-Chen Fan; Wen-Yue Liu; Ling-Fei Li; Yong-Ping Chen; Ming-Hua Zheng

Evidences from randomized controlled trials (RCTs) for the efficiency of traditional Chinese medicine (TCM) on the treatment of nonalcoholic fatty liver disease (NAFLD) are conflicting. Here we conducted a systematic review and meta-analysis of RCTs to evaluate the efficiency and safety of TCM in the treatment of NAFLD. Studies were searched on PubMed and China National Knowledge Infrastructure from January 1995 to June 2010. RCTs comparing either TCM formulations alone or in combination with placebo, ursodeoxycholic acid, insulin sensitizers, lipid-lowering drugs, or antioxidants were included. The category of most usually used herbs in the treatment of NAFLD was also calculated. Five thousand nine hundred and four patients from 62 RCTs were included for meta-analysis and 25,661 patients from 419 clinical studies were for TCM formulation analysis. Comparing with western medicines mentioned above, TCM had a better effect on the normalization of alanine aminotransferase and disappearance of radiological steatosis in the treatment of NAFLD. Furthermore, 246 kinds of Chinese herbs were included in our present study, with an average of 10 herbs (range 1–31) in each formulation. Hawthorn Fruit (321 times in 17,670 patients) was the most often used herb in the treatment of NAFLD. In conclusion, TCM is of modest benefit to the treatment of NAFLD.


Oncotarget | 2015

Hepatocellular carcinoma associated microRNA expression signature: integrated bioinformatics analysis, experimental validation and clinical significance

Ke-Qing Shi; Zhuo Lin; XiangJian Chen; Mei Song; Yu-Qun Wang; Yi-Jing Cai; Nai-Bing Yang; Ming-Hua Zheng; Jin-Zhong Dong; Lei Zhang; Yong-Ping Chen

microRNA (miRNA) expression profiles varied greatly among current studies due to different technological platforms and small sample size. Systematic and integrative analysis of published datesets that compared the miRNA expression profiles between hepatocellular carcinoma (HCC) tissue and paired adjacent noncancerous liver tissue was performed to determine candidate HCC associated miRNAs. Moreover, we further validated the confirmed miRNAs in a clinical setting using qRT-PCR and Tumor Cancer Genome Atlas (TCGA) dataset. A miRNA integrated-signature of 5 upregulated and 8 downregulated miRNAs was identified from 26 published datesets in HCC using robust rank aggregation method. qRT-PCR demonstrated that miR-93-5p, miR-224-5p, miR-221-3p and miR-21-5p was increased, whereas the expression of miR-214-3p, miR-199a-3p, miR-195-5p, miR-150-5p and miR-145-5p was decreased in the HCC tissues, which was also validated on TCGA dataset. A miRNA based score using LASSO regression model provided a high accuracy for identifying HCC tissue (AUC = 0.982): HCC risk score = 0.180E_miR-221 + 0.0262E_miR-21 - 0.007E_miR-223 - 0.185E_miR-130a. E_miR-n = Log 2 (expression of microRNA n). Furthermore, expression of 5 miRNAs (miR-222, miR-221, miR-21 miR-214 and miR-130a) correlated with pathological tumor grade. Cox regression analysis showed that miR-21 was related with 3-year survival (hazard ratio [HR]: 1.509, 95%CI: 1.079–2.112, P = 0.016) and 5-year survival (HR: 1.416, 95%CI: 1.057–1.897, P = 0.020). However, none of the deregulated miRNAs was related with microscopic vascular invasion. This study provides a basis for further clinical application of miRNAs in HCC.


Alimentary Pharmacology & Therapeutics | 2015

Systematic review with network meta-analysis: the comparative effectiveness and safety of interventions in patients with overt hepatic encephalopathy

Gui-Qi Zhu; Ke-Qing Shi; S. Huang; Li-Ren Wang; Yi-Qian Lin; G.-Q. Huang; Y.-P. Chen; Martin Braddock; Ming-Hua Zheng

Interventional treatment for overt hepatic encephalopathy (OHE), includes non‐absorbable disaccharides, neomycin, rifaximin, L‐ornithine‐L‐aspartate and branched chain amino acids (BCAA). However, the optimum regimen remains inconclusive.


Journal of Gastroenterology and Hepatology | 2014

Randomized trial of autologous bone marrow mesenchymal stem cells transplantation for hepatitis B virus cirrhosis: regulation of Treg/Th17 cells.

Lanman Xu; Yuewen Gong; Benfu Wang; Ke-Qing Shi; Yijun Hou; Liping Wang; Zuo Lin; Yixiang Han; Lu Lu; Dazhi Chen; Xiuli Lin; Qiqiang Zeng; Wenke Feng; Yong-Ping Chen

Liver cirrhosis is one of the major consequences of hepatitis B virus (HBV) infection, and transplantation of autologous bone marrow mesenchymal stem cells (ABMSCs) is one of promising therapies for patients with HBV‐related liver cirrhosis (HBV‐LC). However, the mechanism is unclear. The aim of the current study was to explore the role of Treg/Th17 cells in ABMSCs transplantation in patients with HBV‐LC.


Oncotarget | 2015

Clinical value of integrated-signature miRNAs in colorectal cancer: miRNA expression profiling analysis and experimental validation

XiangJian Chen; Ke-Qing Shi; Yu-Qun Wang; Mei Song; Wu Zhou; Hongxiang Tu; Zhuo Lin

MicroRNA (miRNA) expression profiling of colorectal cancer (CRC) are often inconsistent among different studies. To determine candidate miRNA biomarkers for CRC, we performed an integrative analysis of miRNA expression profiling compared CRC tissues and paired neighboring noncancerous colorectal tissues. Using robust rank aggregation method, we identified a miRNA set of 10 integrated-signature miRNAs. In addition, the qRT-PCR validation demonstrated that 9 miRNAs were consistent dysregulated with the integrative analysis in CRC tissues, 4 miRNAs (miR-21-5p, miR-183-5p, miR-17-5p and miR-20a-5p) were up-regulated expression, and 5 miRNAs (miR-145-5p, miR-195-5p, miR-139-5p, miR-378a-5p and miR-143-3p) were down-regulated expression (all p < 0.05). Consistent with the initial analysis, 7 miRNAs were found to be significantly dysregulated in CRC tissues in TCGA data base, 4 miRNAs (miR-21-5p, miR-183-5p, miR-17-5p and miR-20a-5p) were significantly up-regulated expression, and 3 miRNAs (miR-145-5p, miR-139-5p and miR-378a-5p) were significantly down-regulated expression in CRC tissues (all p < 0.001). Furthermore, miR-17-5p (p = 0.011) and miR-20a-5p (p = 0.003) were up-regulated expression in the III/IV tumor stage, miR-145-5p (p = 0.028) and miR-195-5p (p = 0.001) were significantly increased expression with microscopic vascular invasion in CRC tissues, miR-17-5p (p = 0.037) and miR-145-5p (p = 0.023) were significantly increased expression with lymphovascular invasion. Moreover, Cox regression analysis of CRC patients in TCGA data base showed miR-20a-5p was correlated with survival (hazard ratio: 1.875, 95%CI: 1.088–3.232, p = 0.024). Hence, the finding of current study provides a basic implication of these miRNAs for further clinical application in CRC.


Journal of Viral Hepatitis | 2013

A model to predict 3-month mortality risk of acute-on-chronic hepatitis B liver failure using artificial neural network

Ming-Hua Zheng; Ke-Qing Shi; Xian-Feng Lin; D.-D. Xiao; Li Chen; Wen-Yue Liu; Yu-Chen Fan; Y.-P. Chen

Model for end‐stage liver disease (MELD) scoring was initiated using traditional statistical technique by assuming a linear relationship between clinical features, but most phenomena in a clinical situation are not linearly related. The aim of this study was to predict 3‐month mortality risk of acute‐on‐chronic hepatitis B liver failure (ACHBLF) on an individual patient level using an artificial neural network (ANN) system. The ANN model was built using data from 402 consecutive patients with ACHBLF. It was trained to predict 3‐month mortality by the data of 280 patients and validated by the remaining 122 patients. The area under the curve of receiver operating characteristic (AUROC) was calculated for ANN and MELD‐based scoring systems. The following variables age (P < 0.001), prothrombin activity (P < 0.001), serum sodium (P < 0.001), total bilirubin (P = 0.015), hepatitis B e antigen positivity rate (P < 0.001) and haemoglobin (P < 0.001) were significantly related to the prognosis of ACHBLF and were selected to build the ANN. The ANN performed significantly better than MELD‐based scoring systems both in the training cohort (AUROC = 0.869 vs 0.667, 0.591, 0.643, 0.571 and 0.577; P < 0.001, respectively) and in the validation cohort (AUROC = 0.765 vs 0.599, 0.563, 0.601, 0.521 and 0.540; P ≤ 0.006, respectively). Thus, the ANN model was shown to be more accurate in predicting 3‐month mortality of ACHBLF than MELD‐based scoring systems.


Journal of Gastroenterology and Hepatology | 2013

Clinical utility of endoscopic ultrasound elastography for identification of malignant pancreatic masses: A meta-analysis

Li Ying; Xiao Lin; Zuo-Liu Xie; Yuan-Ping Hu; Kai-Fu Tang; Ke-Qing Shi

Endoscopic ultrasound (EUS) elastography is not used for detection but rather for characterization of solid pancreatic masses. A meta‐analysis was used to assess the accuracy of EUS elastography for identification of malignant pancreatic masses.

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Ming-Hua Zheng

First Affiliated Hospital of Wenzhou Medical University

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Yong-Ping Chen

First Affiliated Hospital of Wenzhou Medical University

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Wen-Yue Liu

First Affiliated Hospital of Wenzhou Medical University

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Gui-Qi Zhu

First Affiliated Hospital of Wenzhou Medical University

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Zhuo Lin

First Affiliated Hospital of Wenzhou Medical University

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Li-Ren Wang

First Affiliated Hospital of Wenzhou Medical University

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Meng-Tao Zhou

First Affiliated Hospital of Wenzhou Medical University

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Yu-Qun Wang

First Affiliated Hospital of Wenzhou Medical University

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Mei Song

First Affiliated Hospital of Wenzhou Medical University

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