Conclusion: By using our institute database, we establish a risk stratification system for identifying sub-group of pN0 BC patients, who are at high risk for developing recurrence. The results of our study support tailored RT decisionmaking according to individual risks, which neede...
Additionally, SF levels may serve as a reliable stratification tool for enrolling potential patients with MAFLD that may benefit from iron chelation therapy while monitoring their response to such therapy. Limitations of the study This study has several limitations. First, the effectiveness of FOT1 ...
Predictive performance via area under the receiver operating characteristic curve (aROC) of this index was compared with two other simplified risk stratification approaches: (1) prior healthcare exposure and/or high-CDI risk antibiotics; (2) number of prior high-CDI risk antibio...
When extracting LinAge parameters, we collapsed both the projection into the PC coordinate system of the training dataset and the linear risk model into a single set of parameters. LinAge was trained in the NHANES IV 1999–2000 recruitment wave and performed well when tested in the separate ...
stratification in the underlying summary statistics of the tested traits and necessitates the incorporation of GWAS data from populations expected to have homogeneous genetic structure. Furthermore, GWAS summary statistics with small sample sizes or low SNP-heritability are not amenable to LDSR. One ...
A further 108,308 cis-eQTLs (15%) that had near-threshold P-values in one tissue (P < 0.001) and were significant in another tissue demonstrated 95% consistency, suggesting that even looser cis-eQTL discovery thresholds would still yield additional significant eQTLs. We observed an ...
A deep learning approach based on multi-omics data integration to construct a risk stratification prediction model for skin cutaneous melanoma SKCM patients from The Cancer Genome Atlas (TCGA), and clusters the screened multi-omics features associated with survival prognosis to identify risk ... L ...
Alonso-Morán E, Nuño-Solinis R, Onder G, Multimorbidity in risk stratification tools to predict negative outcomes in adult population. Eur J Intern Med. 2015 ;26(3):182–9. 10.1016/j.ejim.2015.02.010Howell S, Coory M, Martin J, et al. Using routine inpatient data to identify ...
applying the same risk criteria from TCGA for group stratification. The heatmap, risk curve, and scatter plot for the validation group’s risk distribution are presented in Fig.5F–H. Survival analyses confirmed a pronounced disparity in survival rates, with high-risk patients exhibiting significantl...
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with a lifetime risk of one in 350 people and an unmet need for disease-modifying therapies. We conducted a cross-ancestry genome-wide association study (GWAS) including 29,612 patients with ALS and 122,656 controls, which...