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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The usefulness of age and sex to predict all-cause mortality in patients with dilated cardiomyopathy: a single-center cohort study
|
|---|---|
| Published in |
Clinical Interventions in Aging, September 2015
|
| DOI | 10.2147/cia.s88565 |
| Pubmed ID | |
| Authors |
Xiaoping Li, Chi Cai, Rong Luo, Rongjian Jiang, Jie Zeng, Yijia Tang, Yang Chen, Michael Fu, Tao He, Wei Hua |
| Abstract |
Recent studies have shown that sex and age are associated with outcomes in patients with cardiomyopathy. The purpose of this study was to determine the all-cause mortality of dilated cardiomyopathy (DCM) by age and sex. The patients were divided into non-elderly (age <60 years, n=811) and elderly (age ≥60 years, n=331) groups. No difference in the all-cause mortality rate was observed between elderly and non-elderly patients (27.2% vs 22.2%, log-rank χ (2)=2.604, P=0.107). Furthermore, no significant difference in mortality was observed between the male and female patients (23.3% vs 24.5%, log-rank χ (2)=0.707, P=0.400). However, subgroup analysis revealed that elderly male patients exhibited a higher mortality rate than non-elderly male patients (29.4% vs 21.3%, log-rank χ (2)=5.898, P=0.015), while no difference was observed between the elderly female patients and non-elderly female patients. In the Cox analysis, neither age nor sex was a significant independent predictor of all-cause mortality in patients with DCM. In conclusion, no significant difference in mortality between male and female patients or between the elderly and non-elderly patients was observed. Only among males was a difference in mortality observed; elderly male patients experienced greater mortality than that of non-elderly male patients. No effect of age or sex on all-cause mortality was observed in patients with DCM. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 10% |
| Professor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 10 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 38% |
| Chemical Engineering | 1 | 5% |
| Computer Science | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 10 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2015.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Clinical Interventions in Aging
#1,550
of 1,968 outputs
Outputs of similar age
#203,164
of 276,789 outputs
Outputs of similar age from Clinical Interventions in Aging
#49
of 64 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 276,789 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.