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Identifying obesogenic environment through spatial clustering of body mass index among adults
BackgroundThe escalating trend of obesity in Malaysia is surmounting, and the lack of evidence on the environmental influence on obesity is...
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Determining the risk-factors for molecular clustering of drug-resistant tuberculosis in South Africa
BackgroundDrug-resistant tuberculosis (DR-TB) epidemic is driven mainly by the effect of ongoing transmission. In high-burden settings such as South...
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An exploratory study on spatiotemporal clustering of suicide in Korean adolescents
BackgroundAdolescent suicides are more likely to form clusters than those of other age groups. However, the definition of a cluster in the space–time...
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Multiomic analysis implicates nuclear hormone receptor signalling in clustering epilepsy
Clustering Epilepsy (CE) is an epileptic disorder with neurological comorbidities caused by heterozygous variants of the X chromosome gene Protocadheri...
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Identifying chronic obstructive pulmonary disease from integrative omics and clustering in lung tissue
BackgroundChronic obstructive pulmonary disease (COPD) is a highly morbid and heterogenous disease. While COPD is defined by spirometry, many COPD...
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Social deprivation and spatial clustering of childhood asthma in Australia
BackgroundAsthma is the most common chronic respiratory illness among children in Australia. While childhood asthma prevalence varies by region,...
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Prevalence of clustering of non-communicable disease risk factors in a highly urbanized district of India: findings of a cross-sectional survey in Puducherry
BackgroundIn an individual, the development and severity of Non-Communicable Diseases (NCDs) are determined by the presence or absence of clustering...
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Proteomics-based clustering of lung adenocarcinoma identifies three subtypes with significantly different clinical and molecular features
BackgroundLung adenocarcinoma (LUAD) is a predominant subtype of lung cancer. Although molecular classification of LUAD has been widely explored,...
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Clustering of smoking, alcohol consumption and weight gain in pregnancy: prevalence, care preferences and associated factors
BackgroundSmoking, alcohol consumption and weight gain outside recommendations during pregnancy are preventable health risk factors associated with...
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Radiomic- and dosiomic-based clustering development for radio-induced neurotoxicity in pediatric medulloblastoma
BackgroundTexture analysis extracts many quantitative image features, offering a valuable, cost-effective, and non-invasive approach for individual...
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Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China
ObjectiveWe aimed to estimate the prevalence of CRFs and investigate its associated social-economic factors among adults in coastal areas of Qinzhou,...
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Analysis and hierarchical clustering of infratentorial morphological MRI identifies SCAs phenogroups
BackgroundClinical decision-making in spinocerebellar ataxia spectrum diseases (SCAs) has mainly been based on genetic tests, not considering the...
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High-throughput genetic clustering of type 2 diabetes loci reveals heterogeneous mechanistic pathways of metabolic disease
Aims/hypothesisType 2 diabetes is highly polygenic and influenced by multiple biological pathways. Rapid expansion in the number of type 2 diabetes...
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Managing clustering effects and learning effects in the design and analysis of randomised surgical trials: a review of existing guidance
BackgroundThe complexities associated with delivering randomised surgical trials, such as clustering effects, by centre or surgeon, and surgical...
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Chimeric antigen receptor clustering via cysteines enhances T-cell efficacy against tumor
Chimeric antigen receptor (CAR) T-cell therapy achieves great success for hematological malignancies. However, clinical trials have revealed some...
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Prevalence, Clustering, and Current Management of Cardiovascular Risk Factors Upon First Referral to Hypertension Specialists: the APPROACH Study
IntroductionSeveral observational studies have been conducted to assess the prevalence of cardiovascular risk factors in hypertensive patients;...
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Clustering of gout-related comorbidities and their relationship with gout flares: a data-driven cluster analysis of eight comorbidities
ObjectivesTo study the aggregation of multiple comorbidities in people with gout and explore differences in prognosis of gout flares among different...
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Phenotypic subtypes of fibrotic hypersensitivity pneumonitis identified by machine learning consensus clustering analysis
BackgroundPatients with fibrotic hypersensitivity pneumonitis (f-HP) have varied clinical and radiologic presentations whose associated phenotypic...
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Characterization of neuroinflammation pattern in anti-LGI1 encephalitis based on TSPO PET and symptom clustering analysis
PurposeTSPO PET with radioligand [ 18 F]DPA-714 is an emerging molecular imaging technique that reflects cerebral inflammation and microglial...
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Neonatal outcomes of preterm infants with pulmonary hypertension: clustering based on prenatal risk factors
BackgroundTo investigate association of prenatal risk factors and neonatal outcomes of preterm infants with pulmonary hypertension (PH).
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