Institution
The Chinese University of Hong Kong
Education•Hong Kong, China•
About: The Chinese University of Hong Kong is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: Population & Cancer. The organization has 43411 authors who have published 93672 publications receiving 3066651 citations.
Topics: Population, Cancer, Poison control, Randomized controlled trial, China
Papers published on a yearly basis
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TL;DR: A catalog of the mouse gut metagenome comprising ∼2.6 million nonredundant genes by sequencing DNA from fecal samples of 184 mice is established, finding a core set of 26 metagenomic species found in 95% of the mice.
Abstract: The mouse gut microbiome is catalogued and compared to the human microbiome. We established a catalog of the mouse gut metagenome comprising ∼2.6 million nonredundant genes by sequencing DNA from fecal samples of 184 mice. To secure high microbiome diversity, we used mouse strains of diverse genetic backgrounds, from different providers, kept in different housing laboratories and fed either a low-fat or high-fat diet. Similar to the human gut microbiome, >99% of the cataloged genes are bacterial. We identified 541 metagenomic species and defined a core set of 26 metagenomic species found in 95% of the mice. The mouse gut microbiome is functionally similar to its human counterpart, with 95.2% of its Kyoto Encyclopedia of Genes and Genomes (KEGG) orthologous groups in common. However, only 4.0% of the mouse gut microbial genes were shared (95% identity, 90% coverage) with those of the human gut microbiome. This catalog provides a useful reference for future studies.
396 citations
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Paris Diderot University1, Stanford University2, Tel Aviv Sourasky Medical Center3, University of Lisbon4, Beth Israel Deaconess Medical Center5, Florey Institute of Neuroscience and Mental Health6, Heidelberg University7, Autonomous University of Barcelona8, National Institutes of Health9, Palacký University, Olomouc10, International University of Health and Welfare11, The Chinese University of Hong Kong12
TL;DR: The ABCD(2) score, findings on brain imaging, and status with respect to large-artery atherosclerosis helped stratify the risk of recurrent stroke within 1 year after a TIA or minor stroke.
Abstract: BackgroundPrevious studies conducted between 1997 and 2003 estimated that the risk of stroke or an acute coronary syndrome was 12 to 20% during the first 3 months after a transient ischemic attack (TIA) or minor stroke. The TIAregistry.org project was designed to describe the contemporary profile, etiologic factors, and outcomes in patients with a TIA or minor ischemic stroke who receive care in health systems that now offer urgent evaluation by stroke specialists. MethodsWe recruited patients who had had a TIA or minor stroke within the previous 7 days. Sites were selected if they had systems dedicated to urgent evaluation of patients with TIA. We estimated the 1-year risk of stroke and of the composite outcome of stroke, an acute coronary syndrome, or death from cardiovascular causes. We also examined the association of the ABCD2 score for the risk of stroke (range, 0 [lowest risk] to 7 [highest risk]), findings on brain imaging, and cause of TIA or minor stroke with the risk of recurrent stroke over a ...
396 citations
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TL;DR: The sensitive detection and accurate quantification of low abundance EGFR mutations in tumor tissues and plasma by microfluidics digital PCR would be useful for predicting treatment response, monitoring disease progression and early detection of treatment failure associated with acquired drug resistance.
Abstract: Purpose: We aim to develop a digital PCR-based method for the quantitative detection of the two common epidermal growth factor receptor ( EGFR ) mutations (in-frame deletion at exon 19 and L858R at exon 21) in the plasma and tumor tissues of patients suffering from non-small cell lung cancers. These two mutations account for >85% of clinically important EGFR mutations associated with responsiveness to tyrosine kinase inhibitors. Experimental Design: DNA samples were analyzed using a microfluidics system that simultaneously performed 9,180 PCRs at nanoliter scale. A single-mutant DNA molecule in a clinical specimen could be detected and the quantities of mutant and wild-type sequences were precisely determined. Results: Exon 19 deletion and L858R mutation were detectable in 6 (17%) and 9 (26%) of 35 pretreatment plasma samples, respectively. When compared with the sequencing results of the tumor samples, the sensitivity and specificity of plasma EGFR mutation analysis were 92% and 100%, respectively. The plasma concentration of the mutant sequences correlated well with the clinical response. Decreased concentration was observed in all patients with partial or complete clinical remission, whereas persistence of mutation was observed in a patient with cancer progression. In one patient, tyrosine kinase inhibitor was stopped after an initial response and the tumor-associated EGFR mutation reemerged 4 weeks after stopping treatment. Conclusion: The sensitive detection and accurate quantification of low abundance EGFR mutations in tumor tissues and plasma by microfluidics digital PCR would be useful for predicting treatment response, monitoring disease progression and early detection of treatment failure associated with acquired drug resistance.
396 citations
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TL;DR: Cardiac valve calcification is a powerful predictor for mortality and cardiovascular deaths in long-term dialysis patients and by itself has similar prognostic importance as the presence of atherosclerotic vascular disease.
Abstract: Calcification complications are frequent among long-term dialysis patients. However, the prognostic implication of cardiac valve calcification in this population is not known. This study aimed to determine if cardiac valve calcification predicts mortality in long-term dialysis patients. Baseline echocardiography was performed in 192 patients (mean +/- SD age, 55 +/- 12 yr) on continuous ambulatory peritoneal dialysis (mean +/- SD duration of dialysis, 39 +/- 31 mo) to screen for calcification of the aortic valve, mitral valve, or both. Valvular calcification was present in 62 patients. During the mean follow-up of 17.9 mo (range, 0.6 to 33.9 mo), 46 deaths (50% of cardiovascular causes) were observed. Overall 1-yr survival was 70% and 93% for patients with and without valvular calcification (P < 0.0001, log-rank test). Cardiovascular mortality was 22% and 3% for patients with and without valvular calcification (P < 0.0001). Multivariable Cox regression analysis showed that cardiac valve calcification was predictive of an increased all-cause mortality (hazard ratio [HR], 2.50; 95% CI, 1.32 to 4.76; P = 0.005) and cardiovascular death (HR 5.39; 95% CI, 2.16 to 13.48; P = 0.0003) independent of age, male gender, dialysis duration, C-reactive protein, diabetes, and atherosclerotic vascular disease. Eighty-nine percent of patients with both valvular calcification and atherosclerotic vascular disease, 23% of patients with valvular calcification only, 21% of patients with atherosclerotic vascular disease only, and 13% of patients with neither complication died at 1-yr (P < 0.0005). The cardiovascular death rate was 85% for patients with both complications, 13% for patients with valvular calcification only, 14% for patients with atherosclerotic vascular disease only, and 5% for those with neither complication (P < 0.0005). The number of calcified valves was associated with all-cause mortality (P < 0.0005) and cardiovascular death (P < 0.0005). One-year all-cause mortality was 57% for patients with both aortic and mitral valves calcified, 40% for those with either valve calcified, and 15% for those with neither valve calcified. In conclusion, cardiac valve calcification is a powerful predictor for mortality and cardiovascular deaths in long-term dialysis patients. Valvular calcification by itself has similar prognostic importance as the presence of atherosclerotic vascular disease. Its coexistence with other atherosclerotic complications indicates more severe disease and has the worst outcome.
396 citations
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TL;DR: WordCloud as discussed by the authors is a special visualization of text in which the more frequently used words are effectively highlighted by occupying more prominence in the representation, and it can be used for preliminary analysis and validation of previous findings.
Abstract: A word cloud is a special visualization of text in which the more frequently used words are effectively highlighted by occupying more prominence in the representation. We have used Wordle to produce word-cloud analyses of the spoken and written responses of informants in two research projects. The product demonstrates a fast and visually rich way to enable researchers to have some basic understanding of the data at hand. Word clouds can be a useful tool for preliminary analysis and for validation of previous findings. However, Wordle is an adjunct tool and we do not recommend that this method be used as a stand-alone research tool comparable to traditional content analysis methods. Key Words: Wordle, Research Tool, Word Clouds, and Qualitative Research
396 citations
Authors
Showing all 43993 results
Name | H-index | Papers | Citations |
---|---|---|---|
Michael Marmot | 193 | 1147 | 170338 |
Jing Wang | 184 | 4046 | 202769 |
Jiaguo Yu | 178 | 730 | 113300 |
Yang Yang | 171 | 2644 | 153049 |
Mark Gerstein | 168 | 751 | 149578 |
Gang Chen | 167 | 3372 | 149819 |
Jun Wang | 166 | 1093 | 141621 |
Jean Louis Vincent | 161 | 1667 | 163721 |
Wei Zheng | 151 | 1929 | 120209 |
Rui Zhang | 151 | 2625 | 107917 |
Ben Zhong Tang | 149 | 2007 | 116294 |
Kypros H. Nicolaides | 147 | 1302 | 87091 |
Thomas S. Huang | 146 | 1299 | 101564 |
Galen D. Stucky | 144 | 958 | 101796 |
Joseph J.Y. Sung | 142 | 1240 | 92035 |