Showing 1 - 20 results of 100 for search 'Online cohort study~', query time: 3.18s Refine Results
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    Development and Validation of a Dynamic Online Nomogram for Predicting Inpatient Fall Risk: A Cohort Study by Jiang S, Zhao F, Liang Y, Wang S, Xu Q, Wang R, Wu T, Yang H

    Published 2025-08-01
    “…Su Jiang,1,* Feng Zhao,2,* Yan Liang,2 Sulei Wang,2 Qiuyue Xu,3 Ruilin Wang,4 Tianchen Wu,2 Hui Yang3 1Department of Rehabilitation Medicine, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Taizhou, 225300, People’s Republic of China; 2Department of Neurology, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, 210012, People’s Republic of China; 3School of Nursing, Nanjing University of Chinese Medicine, Nanjing, 210023, People’s Republic of China; 4College of Acupuncture, Moxibustion and Orthopedics, Hubei University of Chinese Medicine, Wuhan, 430000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hui Yang, School of Nursing, Nanjing University of Chinese Medicine, No. 138 of Xianlin Road, Qixia District, Nanjing, 210023, People’s Republic of China, Tel +86 25 85811993, Email yanghuiyhcc@163.com Tianchen Wu, Department of Neurology, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, No. 157 Daming Road, Qinhuai District, Nanjing, 210012, People’s Republic of China, Tel +86 25 5227 6666, Email wutianchenwtc@126.comObjective: This study aimed to develop and validate a dynamic online nomogram for predicting inpatient fall risk using data from a Dryad database cohort to strengthen fall prevention strategies and enhance patient safety in hospital settings.Methods: We analyzed data from a cohort study conducted at Fukushima Medical University Hospital, with external validation using an independent dataset from Taizhou People’s Hospital (2019– 2023, n=2000). …”
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    An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study by Zhong Peng, Shuzhu Zhong, Xinyun Li, Fengyi Yu, Zixu Tang, Chunyuan Ma, Zihao Liao, Song Zhao, Yuan Xia, Haojun Fu, Wei Long, Mingxing Lei, Zhangxiu He

    Published 2025-07-01
    “…The eXGBM model emerged as the most reliable predictor of mortality among hemodialysis patients in this study. This model has been made available online at https://mortality-among-hemodialysis-bpypyb4dxvq4hja29kwsev.streamlit.app/ . …”
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    Child abuse and experiences of discrimination are linked to fear of childbirth among younger patients in the US: a cohort study by Natacha M. De Genna, Rachel P. Kolko Conlon, Meredith Spada, Priya Gopalan

    Published 2025-07-01
    “…Methods We surveyed FoC as part of a prospective cohort study focused on pregnant people ages 14–21 (n = 147). …”
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    Exploring an online clinical competency assessment: an alternative to a traditional in-person assessment for internationally trained physiotherapists by Brooke Flew, Lucy Chipchase, Darren Lee, Jodie A. McClelland

    Published 2025-07-01
    “…Methods A single-cohort observational study was conducted, where participants completed both online and in-person assessments. …”
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    Early detection of positive urine culture in patients with urolithiasis: a machine learning model with dynamic online nomogram by Di Luo, Jingdong Zhang, Linguo Xie, Chunyu Liu, Rui Wang

    Published 2025-12-01
    “…To address this gap, a user-friendly, dynamic online nomogram was developed to predict the incidence of positive urine cultures in patients with urolithiasis.Methods A retrospective study was conducted with 3,641 patients with urinary stones at the Second Hospital of Tianjin Medical University. …”
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    Improving Data Integrity in Samples Obtained From Web-Based Recruitment: Protocol for the Development of a Novel System for Assessing Participant Authenticity in a Remote Longitudi... by Chavez R Rodriguez, Maya Campbell, Erin E Bonar, Jason E Goldstick, Maureen A Walton, Lewei A Lin, Lara N Coughlin

    Published 2025-08-01
    “…ObjectiveThis protocol aims to outline authenticity concerns encountered via remote recruitment for a longitudinal cohort study of adults reporting polysubstance use. …”
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    Can headwind, an online clinician-led mental health advisory platform, improve the engagement of distressed young people in community services? A multicohort analysis by Yi Nam Suen, Eric Yu Hai Chen, Christy Lai Ming Hui, Stephanie Ming Yin Wong, Michael Tak Hing Wong, Kai Tai Chan, Yau Sum Wan, Melody Miriam So, Edwin Ho Ming Lee, Sherry Kit Wa Chan

    Published 2025-08-01
    “…Objective The study evaluated the effectiveness of headwind service, an online, clinician-led mental health advisory platform, in engaging individuals with moderate to severe psychological distress. …”
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    Randomised controlled trial in an experimental online supermarket testing the effects of front-of-pack nutrition labelling on food purchasing intentions in a low-income population by Pilar Galan, Camille Buscail, Sandrine Péneau, Serge Hercberg, Chantal Julia, Raphaël Porcher, Philippe Ravaud, Isabelle Boutron, Emmanuelle Kesse-Guyot, Mathilde Touvier, Manon Egnell, Pauline Ducrot

    Published 2021-02-01
    “…Background The Nutri-Score, a front-of-pack nutrition label, has been adopted in 2017 in France but its impact on low-income populations is unknown, and they are more at risk of having unhealthy diets. The present study assessed the effects of the Nutri-Score on the nutritional quality of purchasing intentions among low-income individuals, compared with the current French labelling situation: references intakes (RIs) and no label, using a three-arm parallel-group randomised controlled trial.Methods Low-income active adults from the NutriNet-Santé cohort (household income below €1200/month) were asked to perform a shopping task in an experimental online supermarket after being randomised in one of the three conditions (Nutri-Score, RIs or no labelling). …”
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    External validation of precisebreast, a digital prognostic test for predicting breast cancer recurrence, in an early-stage cohort from the Netherlands by Pieter J. Westenend, Claudia Meurs, Gerardo Fernandez, Marcel Prastawa, Abishek Sainath Madduri, Aaron Feliz, Juan Carlos Mejias, Alexander Shtabsky, Xiaozhu Zhang, Brandon Veremis, Rebecca DeAngel, Michael J. Donovan

    Published 2025-08-01
    “…PreciseBreast (PDxBR) is a digital prognostic tool that integrates artificial intelligence (AI)-derived features from hematoxylin and eosin (H&E) slides with clinicopathologic data to predict recurrence risk. This study externally validated PDxBR in an independent cohort and compared its performance to other risk models. …”
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    Are treatment plans optimized on the basis of acuros XB dose calculation robust against anatomic changes during online adaptive radiotherapy for lung cancer regarding dose homogene... by Khouya Aymane, Santiago Alina, Ringbaek Toke, Guberina Nika, Guberina Maja, Gauler Thomas, Lübcke Wolfgang, Zylka Waldemar, Pöttgen Christoph, Stuschke Martin

    Published 2025-05-01
    “…Dose accumulation showed, that Dmax and D1cc values in CBW over the treatment course stayed in all patients below 110.5% and 107.5% and that the equivalent uniform dose in CTV around the CBW stayed > 95% for scheduled plans. …”
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    ‘It's a job to be done’. Managing polypharmacy at home: A qualitative interview study exploring the experiences of older people living with frailty by Giorgia Previdoli, David P. Alldred, Jonathan Silcock, Savi Tyndale‐Biscoe, Daniel Okeowo, V‐Lin Cheong, Beth Fylan

    Published 2024-02-01
    “…Methods Between June 2021 and February 2022, 32 patients aged 65 years or older with mild or moderate frailty and taking five or more medicines were recruited from 10 medical practices in the North of England, United Kingdom, and the CARE 75+ research cohort. Semi‐structured interviews were conducted face to face, by telephone or online. …”
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