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Appropriate Use Criteria in Dermatopathology: Initial Recommendations from the American Society of Dermatopathology

Overview of attention for article published in Journal of Cutaneous Pathology, March 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 731)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
34 tweeters

Citations

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1 Dimensions

Readers on

mendeley
5 Mendeley
Title
Appropriate Use Criteria in Dermatopathology: Initial Recommendations from the American Society of Dermatopathology
Published in
Journal of Cutaneous Pathology, March 2018
DOI 10.1111/cup.13142
Pubmed ID
Authors

Claudia I. Vidal, Eric A. Armbrect, Aleodor A. Andea, Angela K. Bohlke, Nneka I. Comfere, Sarah R. Hughes, Jinah Kim, Jessica A. Kozel, Jason B. Lee, Konstantinos Linos, Brandon R. Litzner, Tricia A. Missall, Roberto A. Novoa, Uma Sundram, Brian L. Swick, M. Yadira Hurley, Murad Alam, Zsolt Argenyi, Lyn M. Duncan, Dirk M. Elston, Patrick O. Emanuel, Tammie Ferringer, Maxwell A. Fung, Gregory A. Hosler, Alexander J. Lazar, Lori Lowe, Jose A. Plaza, Victor G. Prieto, June K. Robinson, Andras Schaffer, Antonio Subtil, Wei-Lien Wang, , Wei‐Lien Wang

Abstract

Appropriate use criteria (AUC) provide physicians guidance in test selection, can affect health care delivery, reimbursement policy, and physician decision-making. The American Society of Dermatopathology (ASDP), with input from the American Academy of Dermatology (AAD) and the College of American Pathologists (CAP), sought to develop AUC in dermatopathology. The RAND/UCLA appropriateness methodology, which combines evidence-based medicine, clinical experience and expert judgment, was used to develop AUC in dermatopathology. With the number of ratings predetermined at 3, AUC were developed for 211 clinical scenarios (CS) involving 12 ancillary studies (AS). Consensus was reached for 188 (89%) CS, with 93 (44%) considered "usually appropriate", 52 (25%) "rarely appropriate", and 43 (20%) "uncertain appropriateness". The methodology requires a focus on appropriateness without comparison between tests and irrespective of cost. The ultimate decision of when to order specific test rests with the physician and is one where the expected benefit exceeds the negative consequences. This publication outlines the recommendation of appropriateness - AUC for 12 tests used in dermatopathology. Importantly, these recommendations may change considering new evidence. Results deemed "uncertain appropriateness" and where consensus was not reached may benefit from further research.

Twitter Demographics

The data shown below were collected from the profiles of 34 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 40%
Student > Postgraduate 1 20%
Professor > Associate Professor 1 20%
Unknown 1 20%
Readers by discipline Count As %
Medicine and Dentistry 3 60%
Biochemistry, Genetics and Molecular Biology 1 20%
Unknown 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 21 September 2018.
All research outputs
#581,608
of 11,800,142 outputs
Outputs from Journal of Cutaneous Pathology
#21
of 731 outputs
Outputs of similar age
#27,660
of 268,894 outputs
Outputs of similar age from Journal of Cutaneous Pathology
#1
of 16 outputs
Altmetric has tracked 11,800,142 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 731 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 268,894 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 89% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.