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Epidemiological profile of Dupuytren’s disease in Taiwan (Ethnic Chinese): a nationwide population-based study

Overview of attention for article published in BMC Musculoskeletal Disorders, February 2015
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Title
Epidemiological profile of Dupuytren’s disease in Taiwan (Ethnic Chinese): a nationwide population-based study
Published in
BMC Musculoskeletal Disorders, February 2015
DOI 10.1186/s12891-015-0476-7
Pubmed ID
Authors

Chin-Choon Yeh, Kuo-Feng Huang, Chung-Han Ho, Kuan-Ting Chen, Cheng Liu, Jhi-Joung Wang, Chin-Chen Chu

Abstract

The epidemiologic profile of ethnic Chinese patients with Dupuytren's disease is unknown. We therefore investigated the epidemiology of Dupuytren's disease using Taiwan's National Health Insurance Research Database. Patients who filed claims for treatment for Dupuytren's disease between January 2000 and December 2011 were identified in the database. Age- and gender-specific incidences were estimated by dividing the incidence number by population data. We identified 1,078 patients with Dupuytren's disease (681 men, 397 women; male/female ratio: 1:1.72). The annual incidence rate ranged from 0.39-0.63/10(5) for men and 0.14-0.44/10(5) for women. A trend analysis revealed a rising trend in the annual incidence from 2001 to 2011 (p = 0.0199). The prevalence rate increased steadily from 0.46/10(5) in 2000 to 4.52/10(5) in 2011 (p = 0.0186). The mean age at onset was significantly higher in men than in women (60.7 ± 18.4 vs. 53.7 ± 15.5 years). Peak age at onset for men was 70-79 (28.1%) and for women was 50-59 (33.5%). Men > 60 years old had higher incidence rates than did women (incidence rate ratios: 2.0, 4.5, and 6.6 for those 60-69, 70-79, and ≥ 80, respectively). Hypertension (29.6%), diabetes mellitus (21.9%), hyperlipidemia (14.8%), ischemic heart disease (10.5%), and chronic obstructive pulmonary disease (8.0%) were the most common comorbidities. The incidence and prevalence of Dupuytren's disease and the male/female ratio were significantly lower in ethnic Chinese than in Western ethnic groups. Moreover, the age at onset was significantly lower in ethnic Chinese women. However, the incidences of three comorbidities (hypertension, diabetes mellitus, and hyperlipidemia) were similar to those in other ethnicities.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 27%
Student > Ph. D. Student 5 23%
Student > Master 3 14%
Other 2 9%
Student > Bachelor 2 9%
Other 4 18%
Readers by discipline Count As %
Unspecified 8 36%
Medicine and Dentistry 7 32%
Economics, Econometrics and Finance 1 5%
Agricultural and Biological Sciences 1 5%
Nursing and Health Professions 1 5%
Other 4 18%

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 10 February 2015.
All research outputs
#3,341,726
of 5,034,930 outputs
Outputs from BMC Musculoskeletal Disorders
#1,273
of 1,695 outputs
Outputs of similar age
#117,133
of 181,652 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#35
of 42 outputs
Altmetric has tracked 5,034,930 research outputs across all sources so far. This one is in the 29th percentile – i.e., 29% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,695 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 18th percentile – i.e., 18% 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 181,652 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.