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Serum connective tissue growth factor is a highly discriminatory biomarker for the diagnosis of rheumatoid arthritis

Overview of attention for article published in Arthritis Research & Therapy, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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1 news outlet
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1 tweeter

Citations

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5 Dimensions

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23 Mendeley
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Title
Serum connective tissue growth factor is a highly discriminatory biomarker for the diagnosis of rheumatoid arthritis
Published in
Arthritis Research & Therapy, November 2017
DOI 10.1186/s13075-017-1463-1
Pubmed ID
Authors

Xinyu Yang, Ke Lin, Shanmin Ni, Jianmin Wang, Qingqing Tian, Huaijun Chen, Matthew A. Brown, Kaidi Zheng, Weitao Zhai, Li Sun, Shengwei Jin, Jianguang Wang

Abstract

Our previous proteomic study indicated that connective tissue growth factor (CTGF) may be a potential biomarker for rheumatoid arthritis (RA) diagnosis. The aim was to assess the performance of CTGF as a biomarker of RA. Serum and synovial fluid CTGF was detected using a direct high sensitivity sandwich ELISA kit. Serum CTGF levels were tested for discriminatory capacity and optimal assay cutoffs determined in a training cohort of 98 cases of RA with 103 healthy controls. The assay performance was then validated in a further cohort of 572 patients (with RA (n = 217), ankylosing spondylitis (n = 92), gout (n = 74), osteoarthritis (n = 52), systemic lupus erythematosus (n = 72), or primary Sjögren's syndrome (pSS) (n = 65)). Significant elevation of synovial fluid CTGF concentration was found in RA patients, demonstrating excellent diagnostic ability to predict RA (area under the curve (AUC) = 0.97). Similar results were found in serum CTGF detection. At the optimal cutoff value 88.66 pg/mL, the sensitivity, specificity, and the AUC was 0.86, 0.92, and 0.92, respectively, in the training cohort. Similar performance was observed in the validation cohort, with sensitivity, specificity, positive likelihood, and negative likelihood of 0.82, 0.91, 5.74, and 0.12, respectively. Stronger discriminatory capacity was seen with the combination of CTGF and anti-citrullinated protein antibody (ACPA) (AUC = 0.96) than with either ACPA or rheumatoid factor (RF) alone (AUC = 0.80 or 0.79, respectively). The discriminatory performance of serum CTGF was consistent across all inflammatory conditions tested (AUC >0.92 in all cases), with the sole exception of pSS. Serum CTGF did not vary with symptom duration or disease activity. Serum CTGF is a promising diagnostic biomarker for RA, with performance in the current study better than either ACPA or RF.

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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 26%
Unspecified 4 17%
Student > Bachelor 4 17%
Student > Master 3 13%
Student > Ph. D. Student 2 9%
Other 4 17%
Readers by discipline Count As %
Medicine and Dentistry 11 48%
Unspecified 4 17%
Nursing and Health Professions 2 9%
Immunology and Microbiology 2 9%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 3 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 01 December 2017.
All research outputs
#1,257,825
of 12,231,187 outputs
Outputs from Arthritis Research & Therapy
#297
of 1,932 outputs
Outputs of similar age
#54,062
of 340,163 outputs
Outputs of similar age from Arthritis Research & Therapy
#20
of 93 outputs
Altmetric has tracked 12,231,187 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,932 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 83% 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 340,163 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 83% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.