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Patterns and predictors of skin score change in early diffuse systemic sclerosis from the European Scleroderma Observational Study

Overview of attention for article published in Annals of the Rheumatic Diseases, January 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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2 news outlets
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20 X users
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1 patent
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3 Facebook pages
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1 Google+ user

Citations

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56 Dimensions

Readers on

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78 Mendeley
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Title
Patterns and predictors of skin score change in early diffuse systemic sclerosis from the European Scleroderma Observational Study
Published in
Annals of the Rheumatic Diseases, January 2018
DOI 10.1136/annrheumdis-2017-211912
Pubmed ID
Authors

Ariane L Herrick, Sebastien Peytrignet, Mark Lunt, Xiaoyan Pan, Roger Hesselstrand, Luc Mouthon, Alan J Silman, Graham Dinsdale, Edith Brown, László Czirják, Jörg H W Distler, Oliver Distler, Kim Fligelstone, William J Gregory, Rachel Ochiel, Madelon C Vonk, Codrina Ancuţa, Voon H Ong, Dominique Farge, Marie Hudson, Marco Matucci-Cerinic, Alexandra Balbir-Gurman, Øyvind Midtvedt, Paresh Jobanputra, Alison C Jordan, Wendy Stevens, Pia Moinzadeh, Frances C Hall, Christian Agard, Marina E Anderson, Elisabeth Diot, Rajan Madhok, Mohammed Akil, Maya H Buch, Lorinda Chung, Nemanja S Damjanov, Harsha Gunawardena, Peter Lanyon, Yasmeen Ahmad, Kuntal Chakravarty, Søren Jacobsen, Alexander J MacGregor, Neil McHugh, Ulf Müller-Ladner, Gabriela Riemekasten, Michael Becker, Janet Roddy, Patricia E Carreira, Anne Laure Fauchais, Eric Hachulla, Jennifer Hamilton, Murat İnanç, John S McLaren, Jacob M van Laar, Sanjay Pathare, Susanna M Proudman, Anna Rudin, Joanne Sahhar, Brigitte Coppere, Christine Serratrice, Tom Sheeran, Douglas J Veale, Claire Grange, Georges-Selim Trad, Christopher P Denton

Abstract

Our aim was to use the opportunity provided by the European Scleroderma Observational Study to (1) identify and describe those patients with early diffuse cutaneous systemic sclerosis (dcSSc) with progressive skin thickness, and (2) derive prediction models for progression over 12 months, to inform future randomised controlled trials (RCTs). The modified Rodnan skin score (mRSS) was recorded every 3 months in 326 patients. 'Progressors' were defined as those experiencing a 5-unit and 25% increase in mRSS score over 12 months (±3 months). Logistic models were fitted to predict progression and, using receiver operating characteristic (ROC) curves, were compared on the basis of the area under curve (AUC), accuracy and positive predictive value (PPV). 66 patients (22.5%) progressed, 227 (77.5%) did not (33 could not have their status assessed due to insufficient data). Progressors had shorter disease duration (median 8.1 vs 12.6 months, P=0.001) and lower mRSS (median 19 vs 21 units, P=0.030) than non-progressors. Skin score was highest, and peaked earliest, in the anti-RNA polymerase III (Pol3+) subgroup (n=50). A first predictive model (including mRSS, duration of skin thickening and their interaction) had an accuracy of 60.9%, AUC of 0.666 and PPV of 33.8%. By adding a variable for Pol3 positivity, the model reached an accuracy of 71%, AUC of 0.711 and PPV of 41%. Two prediction models for progressive skin thickening were derived, for use both in clinical practice and for cohort enrichment in RCTs. These models will inform recruitment into the many clinical trials of dcSSc projected for the coming years. NCT02339441.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 13%
Student > Ph. D. Student 7 9%
Student > Postgraduate 6 8%
Student > Master 6 8%
Professor 5 6%
Other 21 27%
Unknown 23 29%
Readers by discipline Count As %
Medicine and Dentistry 37 47%
Biochemistry, Genetics and Molecular Biology 4 5%
Nursing and Health Professions 4 5%
Unspecified 3 4%
Immunology and Microbiology 3 4%
Other 4 5%
Unknown 23 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 04 December 2019.
All research outputs
#1,174,123
of 24,892,887 outputs
Outputs from Annals of the Rheumatic Diseases
#633
of 7,725 outputs
Outputs of similar age
#27,359
of 453,968 outputs
Outputs of similar age from Annals of the Rheumatic Diseases
#16
of 97 outputs
Altmetric has tracked 24,892,887 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,725 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has done particularly well, scoring higher than 91% 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 453,968 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.