Literature DB >> 26512170

Reduction of Inter-Rater and Intra-Rater Variability in Psoriasis Area and Severity Index Assessment by Photographic Training.

Sang Woong Youn1, Chong Won Choi1, Bo Ri Kim1, Je Byeong Chae1.   

Abstract

BACKGROUND: Severity grading is important for the assessment of psoriasis treatment efficacy. This is most commonly achieved by using the psoriasis area and severity index (PASI), a subjective tool with inherent inter-rater and intra-rater variability. PASI-naive dermatologists require training to properly conduct a PASI assessment.
OBJECTIVE: In the present study, we aimed to investigate whether photographic training improves inter-rater and intra-rater variabilities. We also determined which PASI component has the greatest impact on variability.
METHODS: Twenty-one dermatologists received 1 hour of PASI training. They were tested before and after the training to evaluate intra-rater variability. The physicians were further tested after training by using a reference photograph.
RESULTS: The mean of each PASI component was underevaluated compared with scoring by a PASI expert. The concordance rate with the expert's grading was highest for thickness followed by erythema, scaling, and area. The scaling score showed the greatest improvement after training. After training, the distribution of deviation from the expert's grading, which signifies inter-rater variability, improved only for the PASI area component. The deviation of scaling grading improved upon retesting by using a reference photograph.
CONCLUSION: PASI assessment training improved variabilities to some degree but not for every PASI component. The development of an objective psoriasis severity assessment tool will help overcome the subjective variabilities in PASI assessment, which can never be completely eliminated via training.

Entities:  

Keywords:  Body surface area; Education; Psoriasis; Severity of illness index

Year:  2015        PMID: 26512170      PMCID: PMC4622890          DOI: 10.5021/ad.2015.27.5.557

Source DB:  PubMed          Journal:  Ann Dermatol        ISSN: 1013-9087            Impact factor:   1.444


  10 in total

1.  On the limitations of the psoriasis area and severity index (PASI)

Authors:  P C van de Kerkhof
Journal:  Br J Dermatol       Date:  1992-02       Impact factor: 9.302

2.  Measurement of involved surface area in patients with psoriasis.

Authors:  B Ramsay; C M Lawrence
Journal:  Br J Dermatol       Date:  1991-06       Impact factor: 9.302

3.  Prevalence and treatment of psoriasis in the United Kingdom: a population-based study.

Authors:  Joel M Gelfand; Rachel Weinstein; Steven B Porter; Andrea L Neimann; Jesse A Berlin; David J Margolis
Journal:  Arch Dermatol       Date:  2005-12

4.  The study of plaques of psoriasis using a scanning laser-Doppler velocimeter.

Authors:  E L Speight; T J Essex; P M Farr
Journal:  Br J Dermatol       Date:  1993-05       Impact factor: 9.302

Review 5.  Physician Global Assessment (PGA) and Psoriasis Area and Severity Index (PASI): why do both? A systematic analysis of randomized controlled trials of biologic agents for moderate to severe plaque psoriasis.

Authors:  Amanda Robinson; Marisa Kardos; Alexandra B Kimball
Journal:  J Am Acad Dermatol       Date:  2011-10-29       Impact factor: 11.527

6.  Inter-rater concordance study of the PASI (Psoriasis Area and Severity Index).

Authors:  Joana Ribeiro Costa de Faria; Aline Rezende Aarão; Luiz Miguel Zabaleta Jimenez; Oscar Hernández Silva; João Carlos Regazzi Avelleira
Journal:  An Bras Dermatol       Date:  2010 Sep-Oct       Impact factor: 1.896

7.  Histopathological findings are associated with the clinical types of psoriasis but not with the corresponding lesional psoriasis severity index.

Authors:  Byung Yoon Kim; Jae Woo Choi; Bo Ri Kim; Sang Woong Youn
Journal:  Ann Dermatol       Date:  2015-02-03       Impact factor: 1.444

8.  One device, one equation: the simplest way to objectively evaluate psoriasis severity.

Authors:  Jae Woo Choi; Bo Ri Kim; Chong Won Choi; Sang Woong Youn
Journal:  J Dermatol       Date:  2014-12-10       Impact factor: 4.005

9.  Standardizing training for psoriasis measures: effectiveness of an online training video on Psoriasis Area and Severity Index assessment by physician and patient raters.

Authors:  April W Armstrong; Kory Parsi; Clayton W Schupp; Philip J Mease; Kristina C Duffin
Journal:  JAMA Dermatol       Date:  2013-05       Impact factor: 10.282

10.  Objective measurements of erythema, elasticity and scale could overcome the inter- and intra-observer variations of subjective evaluations for psoriasis severity.

Authors:  Jae Woo Choi; Soon Hyo Kwon; Jai Il Youn; Sang Woong Youn
Journal:  Eur J Dermatol       Date:  2013-04-01       Impact factor: 3.328

  10 in total
  9 in total

1.  Severity and Area Score for Hidradenitis (SASH): a novel outcome measurement for hidradenitis suppurativa.

Authors:  J S Kirby; M Butt; T King
Journal:  Br J Dermatol       Date:  2019-08-27       Impact factor: 9.302

2.  Myeloperoxidase Inhibition Ameliorates Plaque Psoriasis in Mice.

Authors:  Savannah D Neu; Anna Strzepa; Dustin Martin; Mary G Sorci-Thomas; Kirkwood A Pritchard; Bonnie N Dittel
Journal:  Antioxidants (Basel)       Date:  2021-08-25

3.  The MARCOPOLO Study of Ustekinumab Utilization and Efficacy in a Real-World Setting: Treatment of Patients with Plaque Psoriasis in Asia-Pacific Countries.

Authors:  Sang Woong Youn; Tsen-Fang Tsai; Colin Theng; Siew-Eng Choon; Benny E Wiryadi; Antonio Pires; Weihao Tan; Min-Geol Lee
Journal:  Ann Dermatol       Date:  2016-03-31       Impact factor: 1.444

4.  Both Educational Lectures and Reference Photographs Are Necessary to Improve the Accuracy and Reliability of Psoriasis Area and Severity Index (PASI) Assessment: Results from Korean Nation-Wide PASI Educational Workshop.

Authors:  Chong Won Choi; Bo Ri Kim; Jong Seo Park; Sang Woong Youn
Journal:  Ann Dermatol       Date:  2018-04-23       Impact factor: 1.444

5.  Characteristics of Pruritus according to Morphological Phenotype of Psoriasis and Association with Neuropeptides and Interleukin-31.

Authors:  Sung-Min Park; Gun-Wook Kim; Hoon-Soo Kim; Hyun-Chang Ko; Moon-Bum Kim; Byung-Soo Kim
Journal:  Ann Dermatol       Date:  2019-12-27       Impact factor: 1.444

6.  Measurement of Body Surface Area for Psoriasis Using U-net Models.

Authors:  Yih-Lon Lin; Adam Huang; Chung-Yi Yang; Wen-Yu Chang
Journal:  Comput Math Methods Med       Date:  2022-02-10       Impact factor: 2.238

7.  Method of Assessing Skin Cancerization and KeratosesTM (MASCK™): development and photographic validation in multiple anatomical sites of a novel assessment tool intended for clinical evaluation of patients with extensive skin field cancerization.

Authors:  Christopher Baker; Amelia James; Madeleine Supranowicz; Lynda Spelman; Stephen Shumack; Judith Cole; Warren Weightman; Robert Sinclair; Peter Foley
Journal:  Clin Exp Dermatol       Date:  2022-03-22       Impact factor: 4.481

8.  Quantification of Efflorescences in Pustular Psoriasis Using Deep Learning.

Authors:  Ludovic Amruthalingam; Oliver Buerzle; Philippe Gottfrois; Alvaro Gonzalez Jimenez; Anastasia Roth; Thomas Koller; Marc Pouly; Alexander A Navarini
Journal:  Healthc Inform Res       Date:  2022-07-31

9.  Individualised computational modelling of immune mediated disease onset, flare and clearance in psoriasis.

Authors:  Fedor Shmarov; Graham R Smith; Sophie C Weatherhead; Nick J Reynolds; Paolo Zuliani
Journal:  PLoS Comput Biol       Date:  2022-09-30       Impact factor: 4.779

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.