You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Both pre-frailty and frailty increase healthcare utilization and adverse health outcomes in patients with type 2 diabetes mellitus
|
|---|---|
| Published in |
Cardiovascular Diabetology, September 2018
|
| DOI | 10.1186/s12933-018-0772-2 |
| Pubmed ID | |
| Authors |
Chia-Ter Chao, Jui Wang, Kuo-Liong Chien, COhort of GEriatric Nephrology in NTUH (COGENT) study group |
| Abstract |
Diabetes mellitus (DM) correlates with accelerated aging and earlier appearance of geriatric phenotypes, including frailty. However, whether pre-frailty or frailty predicts greater healthcare utilization in diabetes patients is unclear. From the Longitudinal Cohort of Diabetes Patients in Taiwan (n = 840,000) between 2004 and 2010, we identified 560,795 patients with incident type 2 DM, categorized into patients without frailty, or with 1, 2 (pre-frail) and ≥ 3 frailty components, based on FRAIL scale (Fatigue, Resistance, Ambulation, Illness, and body weight Loss). We examined their long-term mortality, cardiovascular risk, all-cause hospitalization, and intensive care unit (ICU) admission. Among all participants (56.4 ± 13.8 year-old, 46.1% female, and 84.8% community-dwelling), 77.8% (n = 436,521), 19.2% (n = 107,757), 2.7% (n = 15,101), and 0.3% (n = 1416) patients did not have or had 1, 2 (pre-frail), and ≥ 3 frailty components (frail), respectively, with Fatigue and Illness being the most common components. After 3.14 years of follow-up, 7.8% patients died, whereas 36.6% and 9.1% experienced hospitalization and ICU stay, respectively. Cox proportional hazard modeling discovered that patients with 1, 2 (pre-frail), and ≥ 3 frailty components (frail) had an increased risk of mortality (for 1, 2, and ≥ 3 components, hazard ratio [HR] 1.05, 1.13, and 1.25; 95% confidence interval [CI] 1.02-1.07, 1.08-1.17, and 1.15-1.36, respectively), cardiovascular events (HR 1.05, 1.15, and 1.13; 95% CI 1.02-1.07, 1.1-1.2, and 1.01-1.25, respectively), hospitalization (HR 1.06, 1.16, and 1.25; 95% CI 1.05-1.07, 1.14-1.19, and 1.18-1.33, respectively), and ICU admission (HR 1.05, 1.13, and 1.17; 95% CI 1.03-1.07, 1.08-1.14, and 1.06-1.28, respectively) compared to non-frail ones. Approximately 6-7% risk elevation in mortality and healthcare utilization was noted for every frailty component increase. Pre-frailty and frailty increased the risk of mortality and cardiovascular events, and entailed greater healthcare utilization in patients with type 2 DM. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Spain | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 14% |
| Researcher | 11 | 13% |
| Student > Bachelor | 8 | 9% |
| Student > Ph. D. Student | 5 | 6% |
| Other | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 35 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 34% |
| Nursing and Health Professions | 11 | 13% |
| Engineering | 2 | 2% |
| Immunology and Microbiology | 1 | 1% |
| Psychology | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 38 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 October 2023.
All research outputs
#15,561,865
of 24,661,251 outputs
Outputs from Cardiovascular Diabetology
#853
of 1,560 outputs
Outputs of similar age
#196,028
of 346,639 outputs
Outputs of similar age from Cardiovascular Diabetology
#16
of 21 outputs
Altmetric has tracked 24,661,251 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,560 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 41st percentile – i.e., 41% 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 346,639 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.