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| 1 | Role of stem cell therapies in treating chronic wounds:A systematic review显示文摘BACKGROUND The impairment of cutaneous wound healing results in chronic,non-healing wounds that are caused by altered wound environment oxygenation,tissue injury,and permissive microbial growth.Current modalities for the treatment of these wounds inadequately address the complex changes involved in chronic wound pathogenesis.Consequently,stem cell therapies have emerged as a potential therapeutic modality to promote cutaneous regeneration through trophic and paracrine activity.AIM To investigate current literature regarding use of stem cell therapies for the clinical treatment of chronic,non-healing wounds.METHODS PubMed,EMBASE,Cochrane Library,Web of Science,and Scopus were queried with combinations of the search terms“mesenchymal stem cells,”“adult stem cells,”“embryonic stem cells,”“erythroid precursor cells,”“stem cell therapies,”and“chronic wounds”in order to find relevant articles published between the years of 2000 and 2019 to review a 20-year experience.Reference lists from the articles were reviewed to identify additional pertinent articles.Retrieved manuscripts(reviews,case reports/series,retrospective/prospective studies,and clinical trials)were evaluated by the authors for their depiction of clinical stem cell therapy use.Data were extracted from the articles using a standardized collection tool.RESULTS A total of 43 articles describing the use of stem cell therapies for the treatment of chronic wounds were included in this review.While stem cell therapies have been explored in in vitro and in vivo applications in the past,recent efforts are geared towards assessing their clinical role.A review of the literature revealed that adipose-derived stem cells,bone marrow-derived stem cells,bone marrowderived mononuclear cells,epidermally-derived mesenchymal stem cells,fibroblast stem cells,keratinocyte stem cells,placental mesenchymal stem cells,and umbilical cord mesenchymal stem cells have all been employed in the treatment of chronic wounds of various etiologies.Most recently,embryonic stem cells have emerged as a novel stem cell therapy with the capacity for multifaceted germ cell layer differentiation.With the capacity for self-renewal and differentiation,stem cells can enrich existing cell populations in chronic wounds in order to overcome barriers impeding the progression of wound healing.Further,stem cell therapies can be utilized to augment cell engraftment,signaling and activity,and resultant patient outcomes.CONCLUSION Assessing observed clinical outcomes,potential for stem cell use,and relevant therapeutic challenges allows wound care stakeholders to make informed decisions regarding optimal treatment approaches for their patients’chronic wounds. | Anjali C Raghuram Roy P Yu Andrea Y Lo Cynthia J Sung Melissa Bircan Holly J Thompson Alex K Wong | 2020 | World Journal of Stem Cells2020，12，7： | 5 |
| 2 | Preva- lence and Trends in Overweight among US Children and Ado- lescents 显示文摘 | Cynthia LO Katherine MF Margaret DC | 2002 | JAMA2002，288，14： | 1 |
| 3 | Prevalence of obesity and trends in body mass index among US children and adoles- cents, 1999-2010显示文摘 | CYNTHIA LO MARGARET DC BRIAN KK | 2012 | JAMA2012，307，5： | 1 |
| 4 | Body mass index and body fatness in childhood显示文摘 | David SF Cynthia LO Gerald SB | 2005 | Curr Opin Clin Nutr Metab Care2005，8，6： | 1 |
| 5 | Hcc-2, a novel mammalian ER thioredoxin that is differentially expressed in hepatocellular carcinoma显示文摘 | Peter Morin Nissom Siaw Ling Lo Jennifer Chi Yi Lo Peh Fern Ong Justin Wee Eng Lim Keli Ou Rosa Cynthia Liang Teck Keong Seow Maxey Ching Ming Chung | 2006 | FEBS Letters2006，，9： | 1 |
| 6 | Prevalence of Overweight and Obesity Among US Children, Adolescents, and Adults, 1999-2002显示文摘 | Allison AH Cynthia LO Clifford LJ | 2004 | JAMA2004，291，23： | 1 |
| 7 | High Body Mass Index for Age Among US Children and Adolescents, 2003 - 2006 显示文摘 | Cynthia LO Margaret DC Katherine MF | 2008 | JAMA2008，299，20： | 1 |
| 8 | Prevalence of High Body Mass Index in US Children and Adolescents, 2007 - 2008显示文摘 | Cynthia LO Margaret DC Lester RC | 2010 | JAMA2010，303，3： | 1 |
| 9 | Measurement properties of the English and Chinese versions of the Functional Assessment of Cancer Therapy—Breast (FACT-B) in Asian breast cancer patients显示文摘 | Raymond Ng Chun Fan Lee Nan Soon Wong Nan Luo Yoon Sim Yap Soo Kien Lo Whay Kuang Chia Alethea Yee Lalit Krishna Cynthia Goh Yin Bun Cheung | 2012 | Breast Cancer Research and Treatment2012，，2： | 1 |
| 10 | A machine learning model for colorectal liver metastasis post-hepatectomy prognostications显示文摘Background:Currently,surgical resection is the mainstay for colorectal liver metastases(CRLM)management and the only potentially curative treatment modality.Prognostication tools can support patient selection for surgical resection to maximize therapeutic benefit.This study aimed to develop a survival prediction model using machine learning based on a multicenter patient sample in Hong Kong.Methods:Patients who underwent hepatectomy for CRLM between 1 January 2009 and 31 December 2018 in four hospitals in Hong Kong were included in the study.Survival analysis was performed using Cox proportional hazards(CPH).A stepwise selection on Cox multivariable models with Least Absolute Shrinkage and Selection Operator(LASSO)regression was applied to a multiply-imputed dataset to build a prediction model.The model was validated in the validation set,and its performance was compared with that of Fong Clinical Risk Score(CRS)using concordance index.Results:A total of 572 patients were included with a median follow-up of 3.6 years.The full models for overall survival(OS)and recurrence-free survival(RFS)consist of the same 8 established and novel variables,namely colorectal cancer nodal stage,CRLM neoadjuvant treatment,Charlson Comorbidity Score,pre-hepatectomy bilirubin and carcinoembryonic antigen(CEA)levels,CRLM largest tumor diameter,extrahepatic metastasis detected on positron emission-tomography(PET)-scan as well as KRAS status.Our CRLM Machine-learning Algorithm Prognostication model(CMAP)demonstrated better ability to predict OS(C-index=0.651),compared with the Fong CRS for 1-year(C-index=0.571)and 5-year OS(C-index=0.574).It also achieved a C-index of 0.651 for RFS.Conclusions:We present a promising machine learning algorithm to individualize prognostications for patients following resection of CRLM with good discriminative ability. | Cynthia Sin Nga Lam Alina Ashok Bharwani Evelyn Hui Yi Chan Vernice Hui Yan Chan Howard Lai Ho Au Margaret Kay Ho Shireen Rashed Bernard Ming Hong Kwong Wentao Fang Ka Wing Ma Chung Mau Lo Tan To Cheung | 2023 | Hepatobiliary Surgery and Nutrition2023，12，4： | 0 |
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