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Risk factors and their interaction on chronic kidney disease: A multi-centre case control study in Taiwan

Overview of attention for article published in BMC Nephrology, June 2015
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Title
Risk factors and their interaction on chronic kidney disease: A multi-centre case control study in Taiwan
Published in
BMC Nephrology, June 2015
DOI 10.1186/s12882-015-0065-x
Pubmed ID
Authors

Sui-Lung Su, Chin Lin, SenYeong Kao, Chia-Chao Wu, Kuo-Cheng Lu, Ching-Huang Lai, Hsin-Yi Yang, Yu-Lung Chiu, Jin-Shuen Chen, Fung-Chang Sung, Ying-Chin Ko, Chien-Te Lee, Yu Yang, Chih-Wei Yang, Shang-Jyh Hwang, Ming-Cheng Wang, Yung-Ho Hsu, Mei-Yi Wu, Yu-Mei Hsueh, Hung-Yi Chiou, Yuh-Feng Lin

Abstract

Chronic kidney disease (CKD) is highly prevalent in Taiwan. More than two-thirds of end-stage renal disease is associated with diabetes mellitus (DM) or hypertension (HTN). Therefore, the formulation of a special preventative policy of CKD in these patients is essential. This study surveyed 14 traditional risk factors and identified their effects on CKD in patients with HTN/DM and compared these with their effects in the general population. This study included 5328 cases and 5135 controls in the CKD/HTN/DM outpatient and health centres of 10 hospitals from 2008 to 2010. Fourteen common effect factors were surveyed (four demographic, five disease and five lifestyle), and their effects on CKD were tested. Significance tests were adjusted by the Bonferroni method. Results of the stratified analyses in the variables were presented with significant heterogeneity between patients with different comorbidities. Male, ageing, low income, hyperuricemia and lack of exercise habits were risk factors for CKD, and their effects in people with different comorbidities were identical. Anaemia was a risk factor, and there was an additive effect between anaemia and HTN on CKD. Patients with anaemia had a higher risk when associated with HTN [odds ratio (OR) = 6.75, 95 % confidence limit (95 % CI) 4.76-9.68] but had a smaller effect in people without HTN (OR 2.83, 95 % CI 2.16-3.67). The association between hyperlipidaemia-related factors and CKD was also moderated by HTN. It was a significant risk factor in people without HTN (OR = 1.67, 95 % CI 1.38-2.01) but not in patients with HTN (OR =1.03, 95 % CI 0.89-1.19). Hepatitis B, hepatitis C, betel nut chewing, smoking, alcohol intake and groundwater use were not associated with CKD in multivariate analysis. We considered that patients with HTN and anaemia were a high CKD risk population. Physicians with anaemic patients in outpatient clinics need to recognise that patients who also have HTN might be latent CKD cases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Unknown 107 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 13%
Researcher 13 12%
Student > Master 12 11%
Lecturer 9 8%
Student > Postgraduate 7 6%
Other 22 20%
Unknown 31 29%
Readers by discipline Count As %
Medicine and Dentistry 29 27%
Nursing and Health Professions 14 13%
Biochemistry, Genetics and Molecular Biology 6 6%
Psychology 6 6%
Computer Science 3 3%
Other 13 12%
Unknown 37 34%
Attention Score in Context

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 June 2015.
All research outputs
#18,416,517
of 22,813,792 outputs
Outputs from BMC Nephrology
#1,870
of 2,466 outputs
Outputs of similar age
#172,115
of 239,955 outputs
Outputs of similar age from BMC Nephrology
#28
of 35 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,466 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 11th percentile – i.e., 11% 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 239,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.