Jun Zhou

Dr. Jun Zhou


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 October 2016 in Bioelectromagnetics
Verified
Journal Article
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JZJun Zhou
Jun Zhou
YLYuan Liao
Yuan Liao
HXHaitao Xie
Haitao Xie
YLYing Liao
Ying Liao
YZYahua Zeng
Yahua Zeng
GZGuijuan Zhou
Guijuan Zhou

9 May 2022 in Pain Research and Management
Verified
Journal Article
Open access
PDF file
JTJie Tong
Jie Tong
ZCZhengyu Chen
Zhengyu Chen
GSGuanghua Sun
Guanghua Sun
JZJun Zhou
Jun Zhou
YZYe Zeng
Ye Zeng
YLYing Liao
Ying Liao
Background. Although there are many pharmacological interventions for adults with osteoarthritis (OA) who do not meet the indications for surgery, side effects and adverse effects cannot be ignored. Physical interventions are known for their effectiveness and safety, and pulsed electromagnetic fields (PEMFs) have already been applied to skeletal diseases such as osteoporosis. Objective. In this systematic review and meta-analysis, we aimed to assess the efficacy of PEMF on the major symptoms of patients with OA compared with efficacy of other interventions. Methods. Randomized controlled trials (RCTs) investigating OA patients treated with PEMF and with pain, stiffness, and physical function impairment since 2009 were included. The Visual Analog Scale (VAS) and Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) scores were used for assessment. All extracted data were analyzed using RevMan V.5.3. Results. Eleven RCTs consisting of 614 patients were enrolled in this meta-analysis, of which 10 trials comprised knee OA and one comprised hand OA. Compared with the control groups, the PEMF treatment yielded a more favorable output. PEMF alleviated pain (standardized mean differences [SMD] = 0.71, 95% confidence interval [CI]: 0.08–1.34, p = 0.03), improved stiffness (SMD = 1.34, 95% CI: 0.45–2.23, ), and restored physical function (SMD = 1.52, 95% CI: 0.49–2.55, ). Conclusions. PEMF therapy ameliorates OA symptoms such as pain, stiffness, and physical function in patients compared to other conservative treatments. There is an urgent need to search for different types of OA in multiple locations.

21 October 2022 in Heliyon
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Journal Article
Open access
XXXiaohong Xia
Xiaohong Xia
YWYaman Wang
Yaman Wang
MXMengxiao Xie
Mengxiao Xie
SQShengfeng Qiu
Shengfeng Qiu
JZJun Zhou
Jun Zhou
Neonatal sepsis is one of the leading causes of neonatal death. The aim of this study was to evaluate the value of neutrophil - to - monocyte ratio (NMR) in predicting mortality in neonatal sepsis. In this present retrospective study, a total of 134 neonates with sepsis were included. Baseline laboratory parameters were collected. The best cutoff value of NMR was determined by receiver operating characteristic (ROC) curve. Univariate and multivariate analysis were carried out to survey the predict value of NMR. The results showed that NMR in non-survival group was significantly higher than that in survival group. Results from multivariate analysis showed that high NMR was an independent risk factor for neonatal sepsis (Hazard ratio (HR): 7.519, p = 0.001). ROC displayed that the area under curve (AUC) of NMR was 0.740, sensitivity and specificity of NMR were 80% and 65.8% when 7.65 was selected. NMR could be a promising prognostic factor for neonatal sepsis.

26 June 2007 in Biochemical Genetics
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Journal Article
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Jing YuanJing Yuan
Jing Yuan
JZJun Zhou
Jun Zhou
XDXuemei Deng
Xuemei Deng
XHXiaoxiang Hu
Xiaoxiang Hu
NLNing Li
Ning Li

11 April 2022 in Clinical Cardiology
Verified
Journal Article
Open access
ZCZhenzhen Cai
Zhenzhen Cai
TQTengfei Qiao
Tengfei Qiao
YCYing Chen
Ying Chen
MXMengxiao Xie
Mengxiao Xie
JZJun Zhou
Jun Zhou
Background: Infective endocarditis (IE) has a significant mortality, and early identification of high‐risk patients and prediction of poor outcomes is of great significance. In recent years, increasing research has revealed the predictors associated with infective endocarditis prognosis. Systemic inflammatory response index (SIRI) is an important new indicator of inflammation. So far, there have been no reports on the relationship between SIRI and the prognosis of IE patients.Hypothesis: The purpose of this study was to explore the value of SIRI in predicting in‐hospital death for patients with infective endocarditis (IE), so as to provide reference for improving the prognosis of patients with IE.Method: A retrospective analysis was performed on the clinical data of patients with IE admitted to the First Affiliated Hospital of Nanjing Medical University from January 2017 to December 2019. SIRI was calculated according to the blood routine results of patients at admission; receiver operating characteristic curve was employed to determined the optimal cutoff value of SIRI. Patients were divided into groups (low SIRI group and high SIRI group; nonsurvivor group and survivor group) according to the levels of SIRI or their prognosis, and the general clinical features of the two groups were compared. Univariate and multivariate logistic regression analysis were performed to analyze the independent prognostic factors of in‐hospital death in IE patients.Results: A total of 147 IE patients meeting the diagnostic criteria were included, including 102 males (69.4%) and 45 females (30.6%). There was statistically significant difference in SIRI level between nonsurvivor group and survivor group (p < .05). After adjusting for the related factors, the risk of in‐hospital death in the high SIRI was still a risk of in‐hospital death with statistical significance (hazard ratio = 5.053, 95% confidence interval: 1.426‒17.905, p = .012).Conclusions: Higher SIRI level is independently associated with the risk of in‐hospital death in IE patients, and can be an independent predictor of poor outcome in IE patients.

15 September 2020 in International Journal Of Clinical Practice
Verified
Journal Article
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JZJun Zhou
Jun Zhou
JZJing Zhou
Jing Zhou
ZWZhi‐Qi Wu
Zhi‐Qi Wu
Hemant GoyalHemant Goyal
Hemant Goyal
HXHua-Guo Xu
Hua-Guo Xu