Differences across ethnicities were not fully explained by risk factor differences, suggesting that other factors must account for some of the variability in CAC distributions. Most important, CAC convincingly predicted cardiovascular events beyond traditional risk factors, with similar strength in all 4 ...
Conclusions : RIPLs are more prevalent in individuals with CAC score >300 relative to those with a score of 0. While this difference may be explained by differences in baseline traits (age, sex, BMI, HTN, DM, CKD), this finding strengthens the growing body of literature demonstrating ...
External validation yielded comparable outcomes; the model's predictive power enhanced post-revision, achieving an AUROC of 0.764 and a Brier score of 0.195. Based on the ensemble model's assessment of feature importance, the three most influential factors were chemotherapy, radiation, and lung ...
Stress-related disorders, such as generalized anxiety, depression, or post-traumatic stress disorder (PTSD) have a clear differential prevalence in women and men that can be explained from different points of view, including biological, psychological, genetic, and socioeconomic reasons [1,2,3]. PT...
In an editorial accompanying a meta-analysis of electron-beam CT for CAD by Pletcher et al (2004), Ewy (2004) explained that "the clinical utility of fast computed tomography (CT) scanners (i.e., the electron beam [EB] and double helical CT scanner) is still limited. Electron beam CT...
Despite the previous studies, our result with depressive symptoms failed to show a significant association, which may be explained as follows. CES-D scale, which is designed to measure depressive symptoms in general population, has more than 16 points considered to be depressive in Western ...
(measured by the difference of variance explained using a sigmoid fit from that using a linear fit). Non-linearity is low for jGCaMP8 sensors (see Extended Data Table5for more details) but high for GCaMP6 sensors (TG: GCaMP6 transgenic mouse; otherwise, AAV application). The minima ...
The heterogeneity may be partly explained by the outcome measures: the gain appeared larger for studies using CHD events as the outcome (gain in C statistic of 0.049 [95% CI, 0.036-0.062]; I2 = 0) than for studies using CVD events (gain in C statistic, 0.029 [95% CI, 0.011-0.047]...
Those plasmids share a common backbone from previously explained pCT-L7.5.1, 26 including inducible promoter and Aga2p DCHS2 transmission peptide [Fig.?1]. Antibody fragments were displayed with a free N-terminus and tethered to the candida cell wall by C-terminal fusion with Aga2p, 27 in ...
(measured by the difference of variance explained using a sigmoid fit from that using a linear fit). Non-linearity is low for jGCaMP8 sensors (see Extended Data Table5for more details) but high for GCaMP6 sensors (TG: GCaMP6 transgenic mouse; otherwise, AAV application). The minima ...