P5411Low Serum Vitamin D Levels Are Associated with Polyunsaturated Fatty Acids, Inflammation and Long-Term Mortality in Patients with Acute Cardiovascular Disease
Acta cardiologica(2018)SCI 4区
Abstract
Nutrition, malnutrition and heart disease 1113 2.31], p<0.001), cerebrovascular (51%; 1.51 [1.19-1.91],p<0.001) and cancer (36%; 1.36 [1.09-1.83],p<0.001) mortality.In the same model, the association between LCD and total mortality was stronger in the non-obese (0.48%) than in the obese (19%) participants.Findings based on the meta-analysis of 7 prospective cohorts with 447,506 participants and 39,326 mortality cases indicted a positive association between LCD and total (RR: 1.15, 95% CI: 1.07-1.22,p<0.001,I2=8.6) (figure 1A), CVD (RR: 1.13, 95% CI: 1.02-1.24,p<0.001,I2=11.2) (figure 1B) and cancer mortality (RR: 1.07, 95% CI: 1.01-1.14,p=0.02,I2=10.3).These findings were robust in sensitivity analyses.Conclusions: Our study highlighted the unfavorable effect of LCD on total and cause-specific mortality, based on both individual data and by pooling previous cohort studies.Given the fact that LCDs may be unsafe, it would be preferable not to currently recommend these diets.Further studies to clarify the mechanisms involved in these associations and to support our findings are eagerly awaited.
MoreTranslated text
PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest