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Disc degeneration implies low back pain

Overview of attention for article published in Theoretical Biology and Medical Modelling, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

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9 X users
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2 Facebook pages

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110 Mendeley
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Title
Disc degeneration implies low back pain
Published in
Theoretical Biology and Medical Modelling, November 2015
DOI 10.1186/s12976-015-0020-3
Pubmed ID
Authors

Chang-Jiang Zheng, James Chen

Abstract

Low back pain exerts a tremendous burden on individual patients and society due to its prevalence and ability to cause long-term disability. Contemporary treatment and prevention efforts are stymied by the absence of a confirmed cause for the majority of low back pain patients. A system dynamics approach is used to build a physiologically-based model investigating the relationship between disc degeneration and low back pain. The model's predictions are evaluated under two different types of study designs and compared with established observations on low back pain. A three-compartment model (no disc degeneration, disc degeneration with pain remission, disc degeneration with pain recurrence) accurately predicts the age-specific prevalence observed in one of the largest population-based surveys (R (2) = 0.998). The estimated transition age at which intervertebral discs lose the growth potential and begin degenerating is 13.3 years. The estimated disc degeneration rate is 0.0344/year. Without any additional change being made to parameter's values, the model also fully accounts for the age-specific prevalence of disc degeneration detected with a lumbar MRI among asymptomatic individuals (R (2) = 0.978). Dual testing of the proposed mechanistic model with two independent data sources (one with lumbar MRI and the other without) confirm that disc degeneration is the driving force behind and cause of age dependence in low back pain. Observed complexity of low back pain epidemiology arises from the slow dynamics of disc degeneration coupled with the fast dynamics of disease recurrence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 109 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 17%
Student > Ph. D. Student 17 15%
Student > Master 11 10%
Other 11 10%
Researcher 9 8%
Other 17 15%
Unknown 26 24%
Readers by discipline Count As %
Medicine and Dentistry 33 30%
Nursing and Health Professions 11 10%
Engineering 8 7%
Agricultural and Biological Sciences 5 5%
Sports and Recreations 4 4%
Other 18 16%
Unknown 31 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 September 2022.
All research outputs
#4,030,549
of 23,317,888 outputs
Outputs from Theoretical Biology and Medical Modelling
#54
of 288 outputs
Outputs of similar age
#55,024
of 286,095 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 4 outputs
Altmetric has tracked 23,317,888 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 81% 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 286,095 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 4 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