↓ Skip to main content

Salivary gland ultrasonography: a highly specific tool for the early diagnosis of primary Sjögren’s syndrome

Overview of attention for article published in Arthritis Research & Therapy, May 2015
Altmetric Badge

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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
10 X users
facebook
3 Facebook pages

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
101 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
Salivary gland ultrasonography: a highly specific tool for the early diagnosis of primary Sjögren’s syndrome
Published in
Arthritis Research & Therapy, May 2015
DOI 10.1186/s13075-015-0657-7
Pubmed ID
Authors

Chiara Baldini, Nicoletta Luciano, Gaia Tarantini, Rachele Pascale, Francesca Sernissi, Marta Mosca, Davide Caramella, Stefano Bombardieri

Abstract

Recently, a great interest has arisen for salivary gland ultrasonography (SGUS) as a valuable tool for the assessment of major salivary gland involvement in primary Sjögren's syndrome (pSS. The aims of this study were to test the accuracy of SGUS for the early detection of pSSand to compare the diagnostic performance of SGUS with minor salivary gland biopsy (MSGB) and unstimulated salivary flow (USFR) in this context. Patients with suspected pSS and symptoms duration of ≤5 years were consecutively enrolled in this study. The diagnosis of pSS was made according to the AECG criteria. SGUS was performed by two radiologists blinded to the diagnosis and a previously reported ultrasound scoring system (De Vita et al. 1992, cut-off ≥ 1) was used to grade the echostructure alterations of the salivary glands. Statistical analysis was performed using SPSS v16. This study included 50 pSS patients and 57 controls with no-SS sicca symptoms. The mean(SD) age of the pSS group was lower than non-SS group (47(13) vs 53(12)yrs, p = 0.006). No further differences between the two groups were observed. Patients with pSS showed a significantly higher SGUS score in comparison with controls (mean(SD) = 2.1(1.8) vs 0.0(0.4), p = 0.000). The SGUS cut-off ≥ 1 showed a sensitivity (SE) of 66 %, a specificity (SP) of 98 %, a positive predictive value (PPV) of 97 % and a negative predictive value (NPV) of 73 % for pSS diagnosis. The SGUS score correlated also with patients' MSGB/FS and USFR. This study confirmed the good performance of SGUS for the early non-invasive diagnosis of pSS. Further research in larger international cohort of patients is mandatory in order to assess the role of SGUS in the diagnostic algorithm of pSS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Netherlands 1 <1%
Unknown 99 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 15%
Researcher 14 14%
Other 13 13%
Student > Bachelor 11 11%
Student > Doctoral Student 8 8%
Other 21 21%
Unknown 19 19%
Readers by discipline Count As %
Medicine and Dentistry 59 58%
Immunology and Microbiology 3 3%
Nursing and Health Professions 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Chemistry 2 2%
Other 6 6%
Unknown 27 27%
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 01 August 2019.
All research outputs
#4,659,519
of 25,373,627 outputs
Outputs from Arthritis Research & Therapy
#999
of 3,381 outputs
Outputs of similar age
#54,475
of 280,041 outputs
Outputs of similar age from Arthritis Research & Therapy
#19
of 62 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 70% 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 280,041 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 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.