↓ Skip to main content

The association between periodontal disease and the risk of myocardial infarction: a pooled analysis of observational studies

Overview of attention for article published in BMC Cardiovascular Disorders, February 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
73 Mendeley
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.
Title
The association between periodontal disease and the risk of myocardial infarction: a pooled analysis of observational studies
Published in
BMC Cardiovascular Disorders, February 2017
DOI 10.1186/s12872-017-0480-y
Pubmed ID
Authors

Shuai Xu, Mingbao Song, Yu Xiong, Xi Liu, Yongming He, Zhexue Qin

Abstract

Several meta-analyses have indicated that periodontal disease (PD) are related to cardiovascular diseases (CVDs). However, the association between PD and myocardial infarction (MI) remains controversial. Here we aimed to assess the association between PD and MI by meta-analysis of observational studies. PubMed, EMBASE and the Cochrane Library were searched through July, 2016. Observational studies including cohort, cross-sectional and case-control studies reporting odds ratio (OR) or relative risk (RR) with 95% confidence intervals (CIs) were included in the analysis. Either fixed or random-effects model were applied to evaluate the pooled risk estimates. Sensitivity and subgroup analyses were also carried out to identify the sources of heterogeneity. Publication bias was assessed by the Begg's, Egger's test and funnel plot. We included 22 observational studies with 4 cohort, 6 cross-sectional and 12 case-control studies, including 129,630 participants. Patients with PD have increased risk of MI (OR 2.02; 95% CI 1.59-2.57). Substantial heterogeneity in risk estimates was revealed. Subgroup analyses showed that the higher risk of MI in PD patients exists in both cross-sectional studies (OR 1.71; 95% CI 1.07-2.73) and case-control studies (OR 2.93; 95% CI 1.95-4.39), and marginally in cohort studies (OR 1.18; 95% CI 0.98-1.42). Further, subgroup meta-analyses by location, PD exposure, participant number, and study quality showed that PD was significantly associated with elevated risk of MI. Our meta-analysis suggested that PD is associated with increased risk of future MI. However, the causative relation between PD and MI remains not established based on the pooled estimates from observational studies and more studies are warranted.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 14%
Student > Master 10 14%
Student > Bachelor 9 12%
Researcher 7 10%
Student > Postgraduate 6 8%
Other 12 16%
Unknown 19 26%
Readers by discipline Count As %
Medicine and Dentistry 40 55%
Biochemistry, Genetics and Molecular Biology 4 5%
Nursing and Health Professions 3 4%
Arts and Humanities 1 1%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 3 4%
Unknown 21 29%

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 23 February 2017.
All research outputs
#10,783,405
of 19,101,906 outputs
Outputs from BMC Cardiovascular Disorders
#418
of 1,256 outputs
Outputs of similar age
#169,740
of 375,479 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#1
of 1 outputs
Altmetric has tracked 19,101,906 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,256 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 65% 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 375,479 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 53% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them