Publications by authors named "Chieh Chen Wu"
While machine learning (ML) models hold promise for enhancing the management of acute kidney injury (AKI) in sepsis patients, creating models that are equitable and unbiased is crucial for accurate patient stratification and timely interventions. This study aimed to systematically summarize existing evidence to determine the effectiveness of ML algorithms for predicting mortality in patients with sepsis-associated AKI. An exhaustive literature search was conducted across several electronic databases, including PubMed, Scopus, and Web of Science, employing specific search terms.
View Article and Find Full Text PDFArtificial intelligence (AI) has emerged as a promising tool in the field of healthcare, with an increasing number of research articles evaluating its applications in the domain of kidney disease. To comprehend the evolving landscape of AI research in kidney disease, a bibliometric analysis is essential. The purposes of this study are to systematically analyze and quantify the scientific output, research trends, and collaborative networks in the application of AI to kidney disease.
View Article and Find Full Text PDFSarcopenia increases disability, hospital stays, readmissions, and mortality in older adults. Antioxidative nutrients and fatty acids consumption may help maintain muscle mass by reducing oxidative stress. This study aims to assess the association between antioxidant and fatty acid intake and low muscle mass in community-dwelling older people.
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- The prevalence of dementia is high among the elderly and is a leading cause of death, but the link between benzodiazepine use and dementia risk is still unclear, prompting a need for updated reviews.
- We conducted an umbrella review of five meta-analyses, involving 30 studies, evaluating the relationship between benzodiazepine use and dementia risk, finding effect size estimates between 1.38 and 1.78 but noting weak evidence overall.
- Our conclusions highlight a limited connection between benzodiazepine use and dementia, emphasizing the need for further research and careful prescribing practices by physicians.
This review examines the impact of physical activity, nutrition, and sleep evaluations on the physical wellness (PW) and overall well-being of older individuals. A comprehensive search was conducted in databases like PubMed, Google Scholar, and EBSCO Information Services. The search spanned from January 2000 to December 2022, resulting in 19,400 articles, out of which 98 review articles met the inclusion criteria.
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- The study provides an overview of the rise in scholarly research on artificial intelligence (AI) applications in dementia, highlighting a growing trend in publications from 1997 to 2023.
- A bibliometric analysis using the Bibliometrix tool identified the most prolific journals, countries (with the US, China, India, and England leading), and institutions (Boston University, Columbia University, and the University of Granada).
- Key researchers like Gorriz JM, Ramirez J, and Salas-Gonzalez were noted for their significant contributions, particularly in the recent surge of studies focused on AI's role in dementia research from 2018 to 2023.
Article Synopsis
- Epidemiological studies suggest that proton pump inhibitors (PPIs) may increase the risk of chronic kidney disease (CKD), but a comprehensive meta-analysis was lacking.
- A systematic review analyzed data from 10 studies involving over 6.8 million participants, finding a significant association between PPI use and an increased risk of CKD (RR 1.72).
- While the results indicate a notable risk linked to PPIs, further randomized control trials are needed for confirmation, but caution is advised when prescribing PPIs to patients with existing kidney issues.
Previous epidemiological studies have reported that the use of statins is associated with a decreased risk of gastric cancer, although the beneficial effects of statins on the reduction of gastric cancer remain unclear. Therefore, we conducted a systematic review and meta-analysis to investigate the association between the use of statins and the risk of gastric cancer. Electronic databases such as PubMed, EMBASE, Scopus, and Web of Science were searched between 1 January 2000 and 31 August 2022.
View Article and Find Full Text PDFBackground And Aims: Epidemiological studies have been conducted on the relationship between systemic rheumatic diseases (SRDs) and dementia. Therefore, we focused on determining the extent of alliances bounded by SRDs, along with the risk of dementia.
Materials And Methods: Two independent reviewers assessed all studies retrieved from the PubMed, EMBASE, Scopus, and Web of Science databases between January 1, 2000 and November 30, 2021.
Increased risk of atrial fibrillation in patients with psoriasis: A meta-analysis of observational studies.
Indian J Dermatol Venereol Leprol
January 2023
Background: Several epidemiological studies have shown that psoriasis increases the risk of developing atrial fibrillation but evidence of this is still scarce.
Aims: Our objective was to systematically review, synthesise and critique the epidemiological studies that provided information about the relationship between psoriasis and atrial fibrillation risk.
Methods: We searched through PubMed, EMBASE and the bibliographies for articles published between 1 January 2000, and 1 November 2017, that reported on the association between psoriasis and atrial fibrillation.
Background: Alzheimer's disease (AD) is an ongoing neurological degeneration characterized by amnesia and a decline in cognitive abilities. Hippocampal neurogenesis is the leading cause of AD. Mild cognitive impairment (MCI), a prodromal state of AD, is mainly due to the degradation of neuropsychiatric manifestations.
View Article and Find Full Text PDFBackground: An increasing number of children and adolescents are affected by metabolic syndrome (MetS). Dietary inflammatory index (DII) was associated with MetS in adult population. This study aimed to determine the associations between DII scores, MetS, and MetS components among children and adolescents.
View Article and Find Full Text PDFBackground: Research into mobile health (mHealth) technologies on weight loss, physical activity, and sedentary behavior has increased substantially over the last decade; however, no research has been published showing the research trend in this field.
Objective: The purpose of this study was to provide a dynamic and longitudinal bibliometric analysis of recent trends of mHealth research for weight loss, physical activity, and sedentary behavior.
Methods: A comprehensive search was conducted through Web of Science to retrieve all existing relevant documents published in English between January 1, 2010, and November 1, 2021.
The potential impact of statins on the risk of Parkinson's disease (PD) is still controversial; therefore, we conducted a comprehensive meta-analysis of observational studies to examine the effect of statin use on the risk of PD. We searched electronic databases, such as PubMed, EMBASE, Scopus, and Web of Science, for articles published between 1 January 2000 and 15 March 2022. Cohort studies which examined the association between statins and PD risk in the general population were also included.
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- The study aimed to create a deep learning model called Deep-KOA to predict the risk of knee osteoarthritis (KOA) within a year using three years' worth of electronic medical record (EMR) data.
- Researchers analyzed data from two million patients, with 132,594 having KOA, and employed deep learning techniques, particularly CNN and ANN, to build a predictive model.
- Deep-KOA demonstrated strong performance with an AUROC of 0.97 and highlighted significant features from various health conditions and medication use, while age and sex were less important predictors.
Article Synopsis
- The study systematically searched electronic databases for articles on the relationship between anemia and Parkinson's Disease (PD) from January 2000 to July 2020, including observational studies to calculate risk ratios.
- Out of 342 articles initially found, 4 were ultimately included in the meta-analysis, which showed no significant overall increased risk of PD in patients with anemia.
- The analysis indicated that female patients with anemia had a slightly higher risk of PD compared to male patients, but further research is needed to understand the association better.
Article Synopsis
- Cognitive impairment (OCI) is a significant issue for the elderly, and this study aimed to explore the link between anemia and OCI risk.
- An updated systematic review and meta-analysis included 20 studies with over 6,500 participants, revealing that anemia significantly increases the risk of cognitive impairment.
- The findings suggest that individuals with anemia have a 1.39 times higher risk of developing OCI, highlighting the need for better health management in anemic elderly patients.
Article Synopsis
- - Recent studies on statin use in COVID-19 patients show mixed results about its effect on mortality rates, leading to ongoing debate.
- - This study systematically reviewed 22 relevant articles and found that statin use significantly reduced the risk of death in COVID-19 patients, with risk ratios indicating a strong association.
- - The findings suggest statins could lower mortality risk in COVID-19 cases, but further research through randomized control trials is necessary to validate these results.
Article Synopsis
- The incidence of skin cancer, especially melanoma, is rising globally, with challenges in automated detection due to variability in skin lesions and a lack of standardized datasets.
- Research shows deep convolutional neural networks (CNN) could aid diagnosis, but they require high computational power, which is often unavailable in low-resource healthcare settings.
- This study developed an AI model that combines dermoscopic images with patient metadata using CNN and ANN, achieving higher accuracy (92.34%) for melanoma detection and enabling deployment on lower-end devices.
Levothyroxine is a widely prescribed medication for the treatment of an underactive thyroid. The relationship between levothyroxine use and cancer risk is largely underdetermined. To investigate the magnitude of the possible association between levothyroxine use and cancer risk, this retrospective case-control study was conducted using Taiwan's Health and Welfare Data Science Center database.
View Article and Find Full Text PDFA potential evidence from previous epidemiological studies remains conflicting findings regarding the association between atrial fibrillation (AF) and dementia risk. We, therefore, carried out a meta-analysis of relevant studies to investigate the magnitude of the association between AF and dementia risk. We performed a systematic literature search of PubMed, EMBASE, and Google Scholar for potential studies between January 1, 1990, and December 31, 2018, with no restriction on the publication language.
View Article and Find Full Text PDFBackground And Aims: The impact of statin on dementia risk reduction has been a subject of debate over the last decade, but the evidence remains inconclusive. Therefore, we performed a meta-analysis of relevant observational studies to quantify the magnitude of the association between statin therapy and the risk of dementia.
Methods: We systematically searched for relevant studies published from January 2000 to March 2018 using EMBASE, Google, Google Scholar, PubMed, Scopus, and Web of Science.
The demand for AI to improve patients outcome has been increased; we, therefore, aim to establish the diagnostic values of AI in diabetic retinopathy by pooling the published studies of deep learning on this subject. A total of eight studies included which evaluated deep learning in a total of 706,922 retinal images. The overall pooled area under receiver operating curve (AUROC) was 98.
View Article and Find Full Text PDFBackground And Aims: Hospital admission rate for the patients with chest pain has already been increased worldwide but no existing risk score has been designed to stratify non-ST-elevation myocardial infarction (NSTEMI) from non-cardiogenic chest pain. Clinical diagnosis of chest pain in the emergency department is always highly subjective and variable. We, therefore, aimed to develop an artificial intelligence approach to predict stable NSTEMI that would give valuable insight to reduce misdiagnosis in the real clinical setting.
View Article and Find Full Text PDFPrediction of fatty liver disease using machine learning algorithms.
Comput Methods Programs Biomed
March 2019
Background And Objective: Fatty liver disease (FLD) is a common clinical complication; it is associated with high morbidity and mortality. However, an early prediction of FLD patients provides an opportunity to make an appropriate strategy for prevention, early diagnosis and treatment. We aimed to develop a machine learning model to predict FLD that could assist physicians in classifying high-risk patients and make a novel diagnosis, prevent and manage FLD.
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