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Dive into the research topics where Cheng Wu is active.

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Featured researches published by Cheng Wu.


Chest | 2011

Maintenance Therapy With Continuous or Switch Strategy in Advanced Non-small Cell Lung Cancer: A Systematic Review and Meta-analysis

Xinji Zhang; Jiajie Zang; Jinfang Xu; Chong Bai; Yingyi Qin; Ke Liu; Cheng Wu; Meijing Wu; Qian He; Shanshan Zhang; Lixin Wei; Jia He

BACKGROUND Maintenance therapy for patients with non-small cell lung cancer (NSCLC) has gained extensive interest. Varying results for this treatment underpin the need for a synthesis of evidence. METHODS Trials investigating maintenance therapy with either a continuous or a switch strategy for patients with nonprogressing NSCLC compared with placebo or observation were identified. The primary outcome was overall survival (OS), and secondary outcomes included progression-free survival (PFS) and toxicity. RESULTS Eight trials of 3,736 patients were included in the analysis. Switch maintenance therapy substantially improved OS compared with placebo or observation (hazard ratio [HR], 0.85; 95% CI, 0.79-0.92; P < .001). A similar trend of improved OS was found in continuous maintenance therapy, despite lacking statistical significance (HR, 0.88; 95% CI, 0.74-1.04; P = .124). The interaction test suggested that the difference in OS between the two maintenance strategies was not statistically significant (P = .777). Clinically substantial and statistically significant improvement in PFS was found with both maintenance strategies (switch maintenance therapy HR, 0.67; 95% CI, 0.57-0.78; continuous maintenance therapy HR, 0.53; 95% CI, 0.43-0.65; interaction P = .128). Subgroup analyses revealed no statistically significant differences in OS or PFS between switch maintenance therapy with cytotoxic agents and that with tyrosine kinase inhibitor agents. Toxicity was greater in maintenance therapy. CONCLUSIONS Maintenance therapy with either a continuous or a switch strategy significantly increases OS and PFS compared with placebo or observation. However, the benefits must be balanced against toxicity.


PLOS ONE | 2012

Effect of anti-obesity drug on cardiovascular risk factors: a systematic review and meta-analysis of randomized controlled trials.

Yu-Hao Zhou; Xiuqiang Ma; Cheng Wu; Jian Lu; Shanshan Zhang; Jia Guo; Shunquan Wu; Xiaofei Ye; Jinfang Xu; Jia He

Background Anti-obesity drugs are widely used to prevent the complications of obesity, however, the effects of anti-obesity drugs on cardiovascular risk factors are unclear at the present time. We carried out a comprehensively systematic review and meta-analysis to assess the effects of anti-obesity drugs on cardiovascular risk factors. Methodology and Principal Findings We systematically searched Medline, EmBase, the Cochrane Central Register of Controlled Trials, reference lists of articles and proceedings of major meetings for relevant literatures. We included randomized placebo-controlled trials that reported the effects of anti-obesity drugs on cardiovascular risk factors compared to placebo. Overall, orlistat produced a reduction of 2.39 kg (95%CI-3.34 to −1.45) for weight, a reduction of 0.27 mmol/L (95%CI: −0.36 to −0.17) for total cholesterol, a reduction of 0.21 mmol/L (95%CI: −0.30 to −0.12) for LDL, a reduction of 0.12 mmol/L (95%CI: −0.20 to −0.04) for fasting glucose, 1.85 mmHg reduction (95%CI: −3.30 to −0.40) for SBP, and a reduction of 1.49 mmHg (95%CI: −2.39 to −0.58) for DBP. Sibutramine only showed effects on weight loss and triglycerides reduction with statistical significances. Rimonabant was associated with statistically significant effects on weight loss, SBP reduction and DBP reduction. No other significantly different effects were identified between anti-obesity therapy and placebo. Conclusion/Significance We identified that anti-obesity therapy was associated with a decrease of weight regardless of the type of the drug. Orlistat and rimonabant could lead to an improvement on cardiovascular risk factors. However, Sibutramine may have a direct effect on cardiovascular risk factors.


European Journal of Gastroenterology & Hepatology | 2011

Proton pump inhibitors therapy and risk of hip fracture: a systematic review and meta-analysis

Xiaofei Ye; Hong Liu; Cheng Wu; Yingyi Qin; Jiajie Zang; Qing-Bin Gao; Xinji Zhang; Jia He

Background and aims Previous studies have reported inconsistent findings that proton pump inhibitors (PPIs) therapy might increase the risk of hip fracture. We investigated the association between PPIs therapy and hip fracture by a systematic review and meta-analysis. Methods We systematically searched PubMed, EMBASE, and the Cochrane Library. We included studies assessing the effects of PPIs on hip fracture. Data from the studies about odds ratio and 95% confidence interval were gathered and summarized. Results Seven studies met the inclusion criteria. PPIs therapy was associated with a statistically significant increase of hip fracture risk (pooled odds ratio=1.24; 95% confidence interval: 1.15–1.34; P<0.00001) under a random model. Meanwhile, we found that the effect of PPIs on hip fracture differs in different duration groups. Conclusion These results indicate that PPIs therapy might have the potential risk of hip fracture. Different effects on hip fracture in the subgroup analysis do not support a causal relationship between PPIs and hip fracture. Whether the risk exists warrants further investigation.


Medicine | 2016

Body mass index and mortality in chronic obstructive pulmonary disease: A dose-response meta-analysis.

Yibin Guo; Tianyi Zhang; Zhiyong Wang; Fei-Fei Yu; Qin Xu; Wei Guo; Cheng Wu; Jia He

Abstract The aim of this study is to summarize the evidence on the dose–response relationship between body mass index (BMI) and mortality in patients with chronic obstructive pulmonary disease (COPD). We performed a systemic literature search in PubMed, Embase, and Web of Science for relevant studies that were published until June 2015. A random effects meta-analysis was used to estimate the pooled relative risks (RRs) of all-cause mortality in COPD patients with normal weight compared with those who were underweight, overweight, or obese. In addition, a dose–response meta-analysis was conducted to explore the dose–response relationship between BMI and all-cause mortality in COPD patients. A total of 17 observational studies involving 30,182 COPD patients among 285,960 participants were included. Compared with the reference category, the RRs of underweight, overweight, and obese individuals were 1.40 (95% confidence interval (CI), 1.20–1.63), 0.80 (95% CI, 0.67–0.96), and 0.77 (95% CI, 0.62–0.95), respectively. A significant nonlinear relationship between BMI and mortality of COPD patients was found by using a random effects model. COPD patients with BMI of <21.75 kg/m2 had a higher risk of death. Moreover, an increase in the BMI resulted in a decrease in the risk of death. The risk of death was lowest when BMI was 30 kg/m2 (RR = 0.69; 95% CI, 0.53–0.89). The BMI was not associated with all-cause mortality when BMI was >32 kg/m2. Our findings indicate that overweight is associated with a lower risk of all-cause mortality among patients with COPD whereas underweight is associated with a higher risk of all-cause mortality in these patients. However, there is limited evidence to support the association between obesity and the risk of all-cause mortality in patients with COPD.


PLOS ONE | 2010

A Retrospective Survey of Research Design and Statistical Analyses in Selected Chinese Medical Journals in 1998 and 2008

Zhichao Jin; Danghui Yu; Luoman Zhang; Hong Meng; Jian Lu; Qing-Bin Gao; Yang Cao; Xiuqiang Ma; Cheng Wu; Qian He; Rui Wang; Jia He

Background High quality clinical research not only requires advanced professional knowledge, but also needs sound study design and correct statistical analyses. The number of clinical research articles published in Chinese medical journals has increased immensely in the past decade, but study design quality and statistical analyses have remained suboptimal. The aim of this investigation was to gather evidence on the quality of study design and statistical analyses in clinical researches conducted in China for the first decade of the new millennium. Methodology/Principal Findings Ten (10) leading Chinese medical journals were selected and all original articles published in 1998 (N = 1,335) and 2008 (N = 1,578) were thoroughly categorized and reviewed. A well-defined and validated checklist on study design, statistical analyses, results presentation, and interpretation was used for review and evaluation. Main outcomes were the frequencies of different types of study design, error/defect proportion in design and statistical analyses, and implementation of CONSORT in randomized clinical trials. From 1998 to 2008: The error/defect proportion in statistical analyses decreased significantly ( = 12.03, p<0.001), 59.8% (545/1,335) in 1998 compared to 52.2% (664/1,578) in 2008. The overall error/defect proportion of study design also decreased ( = 21.22, p<0.001), 50.9% (680/1,335) compared to 42.40% (669/1,578). In 2008, design with randomized clinical trials remained low in single digit (3.8%, 60/1,578) with two-third showed poor results reporting (defects in 44 papers, 73.3%). Nearly half of the published studies were retrospective in nature, 49.3% (658/1,335) in 1998 compared to 48.2% (761/1,578) in 2008. Decreases in defect proportions were observed in both results presentation ( = 93.26, p<0.001), 92.7% (945/1,019) compared to 78.2% (1023/1,309) and interpretation ( = 27.26, p<0.001), 9.7% (99/1,019) compared to 4.3% (56/1,309), some serious ones persisted. Conclusions/Significance Chinese medical research seems to have made significant progress regarding statistical analyses, but there remains ample room for improvement regarding study designs. Retrospective clinical studies are the most often used design, whereas randomized clinical trials are rare and often show methodological weaknesses. Urgent implementation of the CONSORT statement is imperative.


American Journal of Infection Control | 2015

Influence of antimicrobial consumption on gram-negative bacteria in inpatients receiving antimicrobial resistance therapy from 2008-2013 at a tertiary hospital in Shanghai, China

Wei Guo; Qian He; Zhiyong Wang; Min Wei; Zhangwei Yang; Yin Du; Cheng Wu; Jia He

BACKGROUND Irrational use of antimicrobial agents is a major cause of increased antimicrobial resistance. Effective antibiotic stewardship strategies nationwide or in local health care settings are necessary to reduce antibiotic use and bacteria resistance. METHODS We evaluated the effectiveness of Chinas antimicrobial stewardship policy on antimicrobial use and applied time-series analysis methodology to determine the temporal relationship between antibiotic use and gram-negative bacteria resistance at Changhai Hospital from 2008-2013. Isolates investigated included Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa. RESULTS Consumption of 7 restricted-use antibiotics was dramatically reduced. Resistance to ceftazidime in P aeruginosa and A baumannii and resistance to ciprofloxacin in P aeruginosa significantly decreased. By using cross-correlation analysis, associations between ciprofloxacin resistance in P aeruginosa and fluoroquinolones consumption (r = 0.48; lag = 0; P = .02), ceftazidime resistance in P aeruginosa and third-generation cephalosporins consumption (r = 0.54; lag = -1; P = .01) were identified. No substantial association between other pairs was found. CONCLUSIONS Enhanced nationwide antimicrobial stewardship campaigns launched in 2011 have made great achievements in regard to antibiotic use but have had limited effects on the reversal of gram-negative bacteria resistance in health care settings. Sound infection prevention and control programs to reduce the transmission of resistant pathogens for hospitals in China are urgently needed.


PLOS ONE | 2012

Exploration of the association rules mining technique for the signal detection of adverse drug events in spontaneous reporting systems.

Chao Wang; Xiaojing Guo; Jinfang Xu; Cheng Wu; Yalin Sun; Xiaofei Ye; Wei Qian; Xiu Qiang Ma; Wenmin Du; Jia He

Background The detection of signals of adverse drug events (ADEs) has increased because of the use of data mining algorithms in spontaneous reporting systems (SRSs). However, different data mining algorithms have different traits and conditions for application. The objective of our study was to explore the application of association rule (AR) mining in ADE signal detection and to compare its performance with that of other algorithms. Methodology/Principal Findings Monte Carlo simulation was applied to generate drug-ADE reports randomly according to the characteristics of SRS datasets. Thousand simulated datasets were mined by AR and other algorithms. On average, 108,337 reports were generated by the Monte Carlo simulation. Based on the predefined criterion that 10% of the drug-ADE combinations were true signals, with RR equaling to 10, 4.9, 1.5, and 1.2, AR detected, on average, 284 suspected associations with a minimum support of 3 and a minimum lift of 1.2. The area under the receiver operating characteristic (ROC) curve of the AR was 0.788, which was equivalent to that shown for other algorithms. Additionally, AR was applied to reports submitted to the Shanghai SRS in 2009. Five hundred seventy combinations were detected using AR from 24,297 SRS reports, and they were compared with recognized ADEs identified by clinical experts and various other sources. Conclusions/Significance AR appears to be an effective method for ADE signal detection, both in simulated and real SRS datasets. The limitations of this method exposed in our study, i.e., a non-uniform thresholds setting and redundant rules, require further research.


PLOS ONE | 2014

Trends in In-Hospital Mortality among Patients with Stroke in China

Qian He; Cheng Wu; Hong Luo; Zhiyong Wang; Xiuqiang Ma; Yanfang Zhao; Jian Lu; Chun Xiang; Yingyi Qin; Shunquan Wu; Fei-Fei Yu; Jia He

Background The incidence and burden of stroke in China is increasing rapidly. However, little is known about trends in mortality during stroke hospitalization. The objectives of this study were to assess trends of in-hospital mortality among patients with stroke and explore influence factors of in-hospital death after stroke in China. Methods 109 grade III class A hospitals were sampled by multistage stratified cluster sampling. All patients admitted to hospitals between 2007 and 2010 with a discharge diagnosis of stroke were included. Trends in in-hospital mortality among patients with stroke were assessed. Influence factors of in-hospital death after stroke were explored using multivariable logistic regression. Results Overall stroke hospitalizations increased from 79,894 in 2007 to 85,475 in 2010, and in-hospital mortality of stroke decreased from 3.16% to 2.30% (P<0.0001). The percentage of severe patients increased while odds of mortality (2010 versus 2007) decreased regardless of stroke type: subarachnoid hemorrhage (OR 0.792, 95% CI = 0.636 to 0.987), intracerebral hemorrhage (OR 0.647, 95% CI = 0.591 to 0.708), and ischemic stroke (OR 0.588, 95% CI = 0.532 to 0.649). In multivariable analyses, older age, male, basic health insurance, multiple comorbidities and severity of disease were linked to higher odds of in-hospital mortality. Conclusions The mortality of stroke hospitalizations decreased likely reflecting advancements in stroke care and prevention. Decreasing of mortality with increasing of severe stroke patients indicated that we should pay more attention to rehabilitation and life quality of stroke patients. Specific individual and hospital-level characteristics may be targets for facilitating further declines.


The Scientific World Journal | 2011

Misuse of Statistical Methods in 10 Leading Chinese Medical Journals in 1998 and 2008

Shunquan Wu; Zhichao Jin; Xin Wei; Qing-Bin Gao; Jian Lu; Xiuqiang Ma; Cheng Wu; Qian He; Meijing Wu; Rui Wang; Jinfang Xu; Jia He

Statistical methods are vital to biomedical research. Our aim was to find out whether progress has been made in the last decade in the use of statistical methods in Chinese medical research. We reviewed 10 leading Chinese medical journals published in 1998 and in 2008. Regarding statistical methods, using a multiple t-test for multiple group comparison was the most common error in the t-test in both years, which significantly decreased in 2008. In contingency tables, no significant level adjustment for multiple comparison significantly decreased in 2008. In ANOVA, over a quarter of articles misused the method of multiple pair-wise comparison in both years, and no significant difference was seen between the two years. In the rank transformation nonparametric test, the error of using multiple pair-wise comparison for multiple group comparison became less common. Many mistakes were found in the randomised controlled trial (56.3% in 1998; 67.9% in 2008), non- randomised clinical trial (57.3%; 58.6%), basic science study (72.9%; 65.5%), case study or case series study (48.4%; 47.2%), and cross-sectional study (57.1%; 44.2%). Progress has been made in the use of statistical methods in Chinese medical journals, but much is yet to be done.


Scandinavian Journal of Public Health | 2011

Health-related quality of life in Chinese people: A population-based survey of five cities in China

Rui Wang; Cheng Wu; Xiuqiang Ma; Yanfang Zhao; Xiaoyan Yan; Jia He

Aims: The current study aimed at undertaking an investigation to describe health-related quality of life (HRQL) in Chinese people, with a Mandarin version of the 36-item short-form health survey (SF-36) validated. Methods: A total of 3,219 respondents were successfully interviewed under a randomized stratified multi-stage sampling design from April 2007 to January 2008 in five cities of mainland China. Self-finished interview method was applied and the Mandarin version of SF-36 was used for assessing HRQL. Results: As a result, the reliability and validity of SF-36 were acceptable, although some deviations from the hypothesized model still existed. The Chinese population scored higher than other populations in five of the eight SF-36 scales and Chinese men scored higher than women in six of the eight SF-36 scales. Conclusions: Basically, the Mandarin version of SF-36 is a reliable instrument, although minor modifications are needed. The health-related quality of life in Chinese people were quite high based on the sample of five cities in China; further research is needed to establish the countrywide norm of health-related quality of life in mainland China.

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Jia He

Second Military Medical University

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Xiuqiang Ma

Second Military Medical University

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Jian Lu

Second Military Medical University

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Qian He

Second Military Medical University

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Yanfang Zhao

Second Military Medical University

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Rui Wang

Second Military Medical University

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Yingyi Qin

Second Military Medical University

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Jinfang Xu

Second Military Medical University

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Qing-Bin Gao

Second Military Medical University

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Xiaofei Ye

Second Military Medical University

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