↓ Skip to main content

Is there any link between joint hypermobility and mitral valve prolapse in patients with fibromyalgia syndrome?

Overview of attention for article published in Clinical Rheumatology, July 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users
facebook
1 Facebook page

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
36 Mendeley
Title
Is there any link between joint hypermobility and mitral valve prolapse in patients with fibromyalgia syndrome?
Published in
Clinical Rheumatology, July 2015
DOI 10.1007/s10067-015-3024-9
Pubmed ID
Authors

Erkan Kozanoglu, Ilke Coskun Benlidayi, Rabia Eker Akilli, Abdurrahman Tasal

Abstract

The objective of the present study is to determine whether benign joint hypermobility syndrome (BJHS) modifies the risk of mitral valve prolapse (MVP) in patients with fibromyalgia (FM). Female patients fulfilling the 1990 American College of Rheumatology (ACR) diagnostic criteria for FM were included into the study. Joint hypermobility and BJHS were assessed using Beighton's scoring system and Brighton criteria, respectively. Echocardiograpic evaluation was performed in order to test the presence of MVP. Of the 75 female FM patients, 68.0 % (n = 51) and 20.0 % (n = 15) were diagnosed with BJHS and MVP, respectively. The frequencies of both MVP and BJHS seemed higher than the general population prevalence (p = 0.000 for both). The frequency of MVP was significantly higher in patients with BJHS than that in patients without BJHS (p = 0.028). In addition, BJHS was found to increase the risk of MVP approximately ninefold [odds ratio (OR) 8.7, 95 % confidence interval (CI) 1.1-70.7]. As a result, BJHS and MVP are both common in female patients with FM. Moreover, among the female patients with FM, those with BJHS are about nine times more prone to MVP than those without BJHS. Cardiologic assessment might be added to the routine follow-up strategies in FM patients with BJHS in order to exclude the cardiac pathologies, especially MVP.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 14%
Student > Ph. D. Student 4 11%
Researcher 3 8%
Other 3 8%
Professor > Associate Professor 3 8%
Other 9 25%
Unknown 9 25%
Readers by discipline Count As %
Medicine and Dentistry 10 28%
Nursing and Health Professions 5 14%
Neuroscience 2 6%
Social Sciences 2 6%
Sports and Recreations 1 3%
Other 3 8%
Unknown 13 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 July 2017.
All research outputs
#12,736,600
of 22,818,766 outputs
Outputs from Clinical Rheumatology
#1,520
of 3,001 outputs
Outputs of similar age
#113,025
of 263,394 outputs
Outputs of similar age from Clinical Rheumatology
#25
of 50 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,001 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 48th percentile – i.e., 48% 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 263,394 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.