Following the publication of this article, an interested reader drew to the authors' attention that various panels in the scratch-wound assays shown in Fig. 1C appeared to contain overlapping sections, such that the data may have been derived from a more limited selection of original sources where the data were intended to show the data from discrete experiments. Furthermore, the results shown in the Kaplan-Meier overall survival analysis plots in Fig. 4C appeared to be inconsistent with the date of publication of this article. Independently, the Editorial Office also investigated the issues of concern in this article, and although the authors attenpted to explain these issues and requested the publication of a corrigendum, the Editor of has declined this request and determined that this article should be retracted from the journal on the basis of an overall lack of confidence in the presented data. Upon receiving this decision from the Editor, the authors were not in agreement that the article should be retracted. The Editor apologizes to the readership of the Journal for any inconvenience caused. [Molecular Medicine Reports 20: 3671-3678, 2019; DOI: 10.3892/mmr.2019.10622].
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http://dx.doi.org/10.3892/mmr.2022.12770 | DOI Listing |
Chemosphere
January 2025
Utrecht University, Utrecht, the Netherlands.
Geriatr Nurs
January 2025
School of Nursing, Fudan University, Shanghai 200032, China. Electronic address:
Objective: To explore the network structure of common geriatric syndromes and conditions in physically disabled older adults.
Methods: We chose fourteen common geriatric syndromes and conditions from the dataset and estimated networks with the partial correlation network method. We tested the stability and accuracy of the network using the package "bootnet" in R software.
Int J Med Inform
January 2025
Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:
Background: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, United States.
Background: Telehealth approaches can address health care access barriers and improve care delivery in resource-limited settings around the globe. Yet, telehealth adoption in Africa has been limited, due in part to an insufficient understanding of effective strategies for implementation.
Objective: This study aimed to conduct a multi-level formative evaluation identifying barriers and facilitators for implementing telehealth among health service providers and patients in Central Uganda.
JMIR Form Res
January 2025
Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
Background: Traumatic brain injury (TBI) is a significant public health issue and a leading cause of death and disability globally. Advances in clinical care have improved survival rates, leading to a growing population living with long-term effects of TBI, which can impact physical, cognitive, and emotional health. These effects often require continuous management and individualized care.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!