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| 1 | 如何设计高质量针刺临床研究:基于证据的专家共识显示文摘本针刺随机对照试验(Randomised controlled trials, RCT)专家共识是基于目前针刺试验面临的最普遍、最关键问题,由临床医生、研究人员、从事针灸和外科的临床试验专家、统计专家、临床流行病学和方法学专家以及患者组成的国际临床研究小组联合制订。该共识将有助于临床试验资助者、注册者以及期刊编辑等评估针刺RCT方案及研究结果的相关性、重要性和质量。 | 张誉清 焦睿珉 Claudia M Witt 劳力行 刘建平 Lehana Thabane Karen J Sherman Mike Cummings Dawn P Richards Eun-Kyung Anna Kim Tae-Hun Kim Myeong Soo Lee Michael E Wechsler Benno Brinkhaus Jun J Mao Caroline A Smith 岗卫娟 刘保延 刘志顺 刘岩 郑晖 吴佳霓 AloBSO Carrasco-Labra Mohit Bhandari Philip J Devereaux 景向红 Gordon Guyatt | 2022 | 英国医学杂志中文版2022，25，6： | 7 |
| 2 | 针刺随机对照试验设计和实施中的方法学挑战显示文摘费宇彤及同事探究了针刺临床试验中设计和实施的方法学挑战。针刺是世界范围内最常用的补充和整合疗法之一。过去的5年已发表了超过4000项的针刺试验研究。与其他非药物疗法一样,在设计和实施针刺随机对照试验时也存在挑战。此文探讨的是针刺随机对照临床试验中特有的重要挑战,其中一些可能也适用于其他非药物疗法。本系列的另一篇文章讨论了这些挑战的详细解决方案1。 | 费宇彤 曹卉娟 夏如玉 柴倩云 梁昌昊 冯玉婷 杜怡然 于明坤 Gordon Guyatt Lehana Thabane 劳力行 张誉清 刘建平 | 2022 | 英国医学杂志中文版2022，25，6： | 4 |
| 3 | Gabapentin does not improve multimodal analgesia outcomes for total knee arthroplasty: a randomized controlled trial显示文摘 | James E. Paul Manyat Nantha-Aree Norman Buckley Ji Cheng Lehana Thabane Antonella Tidy Justin DeBeer Mitchell Winemaker David Wismer Dinshaw Punthakee Victoria Avram | 2013 | Canadian Journal of Anesthesia/Journal canadien d’anesthésie2013，，5： | 1 |
| 4 | Comparison of Bayesian and classical methods in the analysis of cluster randomized controlled trials with a binary outcome: The Community Hypertension Assessment Trial 显示文摘 | Jinhui M Lehana T Janusz K | 2009 | BMC Medical Research2009，9，1： | 1 |
| 5 | Urinary tract dysfunction in Parkinson’s disease: a review显示文摘 | Lehana Yeo Rajindra Singh Mohan Gundeti Jayanta Barua Junaid Masood | 2012 | International Urology and Nephrology2012，，2： | 1 |
| 6 | Design and rationale of the TOTAL trial: A randomized trial of routine aspiration ThrOmbecTomy with percutaneous coronary intervention (PCI) versus PCI ALone in patients with ST elevation myocardial infarction undergoing primary PCI显示文摘 | Sanjit S. Jolly John Cairns Salim Yusuf Brandi Meeks Olga Shestakovska Lehana Thabane Kari Niemel? Philippe Gabriel Steg Olivier F. Bertrand Sunil V. Rao Alvaro Avezum Warrren J. Cantor Samir B. Pancholy Raul Moreno Anthony Gershlick Ravinay Bhindi Robert | 2013 | American Heart Journal2013，，： | 1 |
| 7 | A systematic review and meta-analysis of studies using the STRATIFY tool for prediction of falls in hospital patients显示文摘 | David Oliver Alexandra Papatoannou Lora Giangregorio Lehana Thabane Katerina Reiagys Gary Foster | 2008 | Age and Ageing2008，37，： | 1 |
| 8 | Cancer-Related Worry in Canadian Thyroid Cancer Survivors显示文摘 | Lauren Bresner Rita Banach Gary Rodin Lehana Thabane Shereen Ezzat Anna M. Sawka | 2015 | The Journal of Clinical Endocrinology & Metabolism2015，，3： | 1 |
| 9 | Measuring Patient Preferences for Colorectal Cancer Screening Using a Choice-Format Survey显示文摘 | Deborah A. Marshall F. Reed Johnson Kathryn A. Phillips John K. Marshall Lehana Thabane Nathalie A. Kulin | 2007 | Value in Health2007，，5： | 1 |
| 10 | Application of data mining techniques in pharmacovigilance 显示文摘 | Andrew M Wilson Lehana Thabanc Anne Holbrook | 2003 | Br J CI in Phar- macol2003，57，2： | 1 |
| 11 | Femoral Nerve Block Improves Analgesia Outcomes after Total Knee Arthroplasty: A Meta-analysis of Randomized Controlled Trials显示文摘 | James E. Paul Aman Arya Lindsay Hurlburt Ji Cheng Lehana Thabane Antonella Tidy Yamini Murthy | 2010 | Anesthesiology2010，，5： | 1 |
| 12 | The Prognostic Value of Pre-Operative and Post-Operative B-Type Natriuretic Peptides in Patients Undergoing Noncardiac Surgery显示文摘 | Reitze N. Rodseth Bruce M. Biccard Yannick Le Manach Daniel I. Sessler Giovana A. Lurati Buse Lehana Thabane Robert C. Schutt Daniel Bolliger Lucio Cagini Daniela Cardinale Carol P.W. Chong Rong Chu Mi?os?aw Cnotliwy Salvatore Di Somma René Fahrner Wen Kw | 2014 | Journal of the American College of Cardiology2014，，2： | 1 |
| 13 | Urinary tract dysfunction in Parkinson's disease:a review显示文摘 | Lehana Yeo Rajindra Singh Mohan Gundeti | 2012 | Int Urol Nephrol2012，44，2： | 1 |
| 14 | Comparison of Bayesian and classical methods in the analysisof cluster randomized controlled trials with abinary outcome:The Community Hypertension Assessment Trial显示文摘 | Ma Jinhui Thabane Lehana Kaczorowski J | | 0，，01： | 1 |
| 15 | Mobile Phone-Based Population Flow Data for the COVID-19 Outbreak in China' Mainland显示文摘Background.Human migration is one of the driving forces for amplifying localized infectious disease outbreaks into widespread epidemics.During the outbreak of COVID-19 in China,the travels of the population from Wuhan have furthered the spread of the virus as the period coincided with the world’s largest population movement to celebrate the Chinese New Year.Methods.We have collected and made public an anonymous and aggregated mobility dataset extracted from mobile phones at the national level,describing the outflows of population travel from Wuhan.We evaluated the correlation between population movements and the virus spread by the dates when the number of diagnosed cases was documented.Results.From Jan 1 to Jan 22 of 2020,a total of 20.2 million movements of at-risk population occurred from Wuhan to other regions in China.A large proportion of these movements occurred within Hubei province(84.5%),and a substantial increase of travels was observed even before the beginning of the official Chinese Spring Festival Travel.The outbound flows from Wuhan before the lockdown were found strongly correlated with the number of diagnosed cases in the destination cities(log-transformed).Conclusions.The regions with the highest volume of receiving at-risk populations were identified.The movements of the at-risk population were strongly associated with the virus spread.These results together with province-by-province reports have been provided to governmental authorities to aid policy decisions at both the state and provincial levels.We believe that the effort in making this data available is extremely important for COVID-19 modelling and prediction. | Xin Lu Jing Tan Ziqiang Cao Yiquan Xiong Shuo Qin Tong Wang Chunrong Liu Shiyao Huang Wei Zhang Laurie B.Marczak Simon I.Hay Lehana Thabane Gordon H.Guyatt Xin Sun | 2021 | Health Data Science2021，，1： | 0 |
| 16 | Quantifying the impacts of human mobility restriction on the spread of coronavirus disease 2019:an empirical analysis from 344 cities of China显示文摘Background:Since the outbreak of coronavirus disease 2019(COVID-19),human mobility restriction measures have raised controversies,partly because of the inconsistent findings.An empirical study is promptly needed to reliably assess the causal effects of the mobility restriction.The purpose of this study was to quantify the causal effects of human mobility restriction on the spread of COVID-19.Methods:Our study applied the difference-in-difference(DID)model to assess the declines of population mobility at the city level,and used the log-log regression model to examine the effects of population mobility declines on the disease spread measured by cumulative or new cases of COVID-19 over time after adjusting for confounders.Results:The DID model showed that a continual expansion of the relative declines over time in 2020.After 4 weeks,population mobility declined by-54.81%(interquartile range,-65.50%to-43.56%).The accrued population mobility declines were associated with the significant reduction of cumulative COVID-19 cases throughout 6 weeks(ie,1%decline of population mobility was associated with 0.72%[95%CI:0.50%-0.93%]reduction of cumulative cases for 1 week,1.42%2 weeks,1.69%3 weeks,1.72%4 weeks,1.64%5 weeks,and 1.52%6 weeks).The impact on the weekly new cases seemed greater in the first 4 weeks but faded thereafter.The effects on cumulative cases differed by cities of different population sizes,with greater effects seen in larger cities.Conclusions:Persistent population mobility restrictions are well deserved.Implementation of mobility restrictions in major cities with large population sizes may be even more important. | Jing Tan Shao-Yang Zhao Yi-Quan Xiong Chun-Rong Liu Shi-Yao Huang Xin Lu Lehana Thabane Feng Xie Xin Sun Wei-Min Li | 2021 | Chinese Medical Journal2021，，20： | 0 |
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