Design of the type 1 diabetes and life (T1DAL) pilot and feasibility study: A brief telehealth intervention targeting health-related quality of life across clinical settings [0.03%]
针对临床环境中的健康相关生活质量的简短视频干预试验(T1DAL)方案设计：1 型糖尿病患者生活可行性研究
Marisa E Hilliard,Wendy Levy,Ruth S Weinstock et al.
Marisa E Hilliard et al.
Background: Type 1 diabetes (T1D) management is demanding and can impact quality of life among persons with diabetes (PWDs) and their family members. Behavioral intervention research has largely focused on adolescents, an...
Detection of Undiagnosed Liver Cirrhosis via Artificial Intelligence-Enabled Electrocardiogram (DULCE): Rationale and design of a pragmatic cluster randomized clinical trial [0.03%]
基于人工智能心电图的检测未知肝硬化的研究(DULCE)：务实型分群随机临床试验的设计与原理
Amy Olofson,Ryan Lennon,Blake Kassmeyer et al.
Amy Olofson et al.
Background: Cirrhosis is a leading cause of morbidity and mortality worldwide, yet preventable at early stages. Currently, effective approaches for early diagnosis are lacking. A novel electrocardiogram (ECG)-enabled deep...
Links between self-monitoring data collected through smartphones and smartwatches and the individual disease trajectories of adult patients with depressive disorders: Study protocol of a one-year observational trial [0.03%]
基于智能手机和智能手表的自我监测数据与成人抑郁症患者个体病程之间的关联：一年期观察性试验方案
Hanna Reich,Simon Schreynemackers,Rebeka Amin et al.
Hanna Reich et al.
Depression is highly recurrent and heterogenous in its individual course, requiring a personalized treatment approach. Patients today can collect large volumes of personal data via smartphones and smartwatches and may utilize them for their...
Lessons learned in recruiting and retaining Black men in behavioral diabetes intervention research [0.03%]
行为糖尿病干预研究中招募和留住黑人男性的心得体会
Jaclynn M Hawkins,Alana M Ewen,Martha Funnell et al.
Jaclynn M Hawkins et al.
Black men experience disproportionately high rates of type 2 diabetes (T2D) and its complications, yet remain underrepresented in diabetes intervention research. Culturally tailored, community-based interventions that prioritize trust and a...
Combined chiropractic care and Tai Chi for chronic neck pain: A protocol for a pilot randomized trial [0.03%]
联合整脊疗法和太极锻炼治疗慢性颈痛：一项初步随机对照试验的方案
Peter M Wayne,Robert Vining,Cynthia R Long et al.
Peter M Wayne et al.
Background: Neck pain presents a personal and socioeconomic burden globally. Despite increasing prevalence, research on chronic neck pain (CNP) is limited and management relies on generalized approaches. There is growing ...
Novel approaches to recruiting clinical sites for embedded pragmatic clinical trials: Insights from the AIM-back trial [0.03%]
嵌入式实用性临床试验纳入临床机构的新方法——来自AIM-BACK试验的启示
Tyler L Cope,Steven Z George,S Nicole Hastings et al.
Tyler L Cope et al.
Background: Embedded pragmatic clinical trials (ePCTs) assess interventions in real-world settings. Best practices for recruiting clinical sites for ePCTs are unknown, especially for sites that aren't known to the study t...
Training to Move an Evidence-based Dementia Caregiver Support Program into Practice: A pragmatic, randomized, non-inferiority trial protocol [0.03%]
一项实用的、随机对照的非劣效性试验方案：用于实践培训基于证据的痴呆症护工支持项目
Nancy A Hodgson,Miranda V McPhillips,Karen B Hirschman et al.
Nancy A Hodgson et al.
Background: Despite over 200 evidence-based dementia caregiver programs, we know little about the best approaches for optimally scaling these programs in daily service contexts, nor do we fully understand the most effecti...
Pharmacokinetic boosting of olaparib: Study protocol of a multicentre, open-label, randomised, non-inferiority trial (PROACTIVE-B) [0.03%]
奥拉帕利药代动力学增效的多中心、开放性、随机对照非劣效性研究（PROACTIVE-B）方案
Joanneke K Overbeek,Niels A D Guchelaar,Ma Ida Mohmaed Ali et al.
Joanneke K Overbeek et al.
Background: Pharmacokinetic (PK) boosting is the intentional use of a drug-drug interaction to enhance systemic drug exposure. PK boosting of the anticancer drug olaparib, a CYP3A-substrate, has the potential to reduce PK...
Predicting clinical trial duration via statistical and machine learning models [0.03%]
基于统计学和机器学习模型的临床试验周期预测研究
Joonhyuk Cho,Qingyang Xu,Chi Heem Wong et al.
Joonhyuk Cho et al.
We apply survival analysis as well as machine learning models to predict the duration of clinical trials using the largest dataset so far constructed in this domain. Neural network-based DeepSurv yields the most accurate predictions and we ...
Effectiveness of electrical stimulation with conservative treatment for lower urinary tract symptoms in Parkinson's disease: A three-armed randomized controlled trial protocol [0.03%]
电刺激联合保守治疗帕金森病下尿路症状的临床疗效：分组随机对照试验方案
Dorien Bennink,Rob A de Bie,Henk W Elzevier et al.
Dorien Bennink et al.
Background: Despite the high prevalence of lower urinary tract symptoms (LUTS) in patients with Parkinson's disease (PD)-ranging from 27 % to 85 % including symptoms such as urinary urgency,- incontinence, frequency, and ...