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 |
Association of anemia and mineral and bone disorder with health-related quality of life in Asian pre-dialysis patients
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, June 2016
|
| DOI | 10.1186/s12955-016-0477-8 |
| Pubmed ID | |
| Authors |
Hwee-Lin Wee, Benjamin Jun Jie Seng, Jia Jia Lee, Kok Joon Chong, Pallavi Tyagi, Anantharaman Vathsala, Priscilla How |
| Abstract |
Patients with chronic kidney disease (CKD) have poor health-related quality of life (HRQoL). The association of CKD-related complications such as anemia and mineral and bone disorders (MBD) with HRQoL in pre-dialysis patients is not well-studied. As such, this study aimed to determine the association of anemia and MBD with HRQoL in pre-dialysis patients. This was a cross-sectional study involving 311 adult pre-dialysis patients with stage 3-5 CKD from an acute-care hospital in Singapore. Patients' HRQoL were assessed using Kidney Disease Quality of Life Short Form (KDQOL-SF™) and EuroQol 5 Dimensions-3 levels (EQ5D-3L). HRQoL between patients with and without anemia or MBD were compared by separate hierarchical multiple linear regression analyses using various HRQoL scales as dependent variables, adjusted for sociodemographic, clinical and psychosocial variables. After adjusting for MBD, anemia was associated with lower HRQoL scores on work status (WS), physical functioning (PF) and role physical [β (SE): -10.9 (4.18), p = 0.010; -3.0 (1.28), p = 0.018; and -4.2 (1.40), p = 0.003, respectively]. However, significance was lost after adjustments for sociodemographic variables. Patients with MBD had poorer HRQoL with respect to burden of kidney disease, WS, PF and general health [(β (SE): -7.9 (3.88), p = 0.042; -9.5 (3.99), p = 0.018; -3.0 (1.22) p = 0.014; -3.6 (1.48), p = 0.015, respectively]. Although these remained significant after adjusting for sociodemographic variables, significance was lost after adjusting for clinical variables, particularly pill burden. This is of clinical importance due to the high pill burden of CKD patients, especially from medications for the management of multiple comorbidities such as cardiovascular and mineral and bone diseases. Neither anemia nor MBD was associated with HRQoL in our pre-dialysis patients. Instead, higher total daily pill burden was associated with worse HRQoL. Medication reconciliation should therefore be routinely performed by clinicians and pharmacists to reduce total daily pill burden where possible. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 116 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 13% |
| Student > Master | 12 | 10% |
| Student > Bachelor | 12 | 10% |
| Student > Ph. D. Student | 10 | 9% |
| Student > Doctoral Student | 6 | 5% |
| Other | 17 | 15% |
| Unknown | 44 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 13 | 11% |
| Nursing and Health Professions | 13 | 11% |
| Psychology | 6 | 5% |
| Unspecified | 5 | 4% |
| Other | 11 | 9% |
| Unknown | 48 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 20 July 2017.
All research outputs
#1,460,798
of 22,879,161 outputs
Outputs from Health and Quality of Life Outcomes
#70
of 2,160 outputs
Outputs of similar age
#28,954
of 352,727 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#2
of 43 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,160 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 96% of its peers.
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 352,727 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.