Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 309

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

What are the best outcome measures for assessing plaque psoriasis severity? A systematic review of the literature

Puzenat, E, Bronsard, V, Prey, S, Gourraud, P‐A, Aractingi, S, Bagot, M, Cribier, B, Joly, P, Jullien, D, Le Maitre, M, Paul, C, Richard‐Lallemand, M‐A, Ortonne, J‐P, Aubin, F·2010·Journal of the European Academy of Dermatology and Venereology

Abstract

Background A wide variety of scoring systems have been proposed to assess severity of psoriasis. Given its importance as a health issue both for patients and health care systems, it is critically important to evaluate the validity and reliability of existing outcome measures. Objective The objective of this systematic review was to assess the extent of validation including the validity, reliability, sensitivity to change and ease of use of available outcome measures for psoriasis. Materials and Methods We conducted a systematic review of all clinical studies (prospective and retrospective) investigating the severity of psoriasis patients and published between January 1980 and June 2009. The following methodological validation and quality criteria were recorded systematically: construct validity, content validity and internal consistency, intra‐observer variation and inter‐observer variation, sensitivity to change and acceptability/ease of use assessed as time required to perform measurement. Results Based on methodological validation and quality criteria, six clinical severity scores were selected and analysed (PASI, BSA, PGA, LS‐PGA, SPI and SAPASI scores). We did not find substantial evidence of construct validity for any of the psoriasis clinical severity scores. Content validity was studied by considering the PASI score as gold standard. The relative content validity was good for the LS‐PGA, PGA, and SPI scores, which correlated strongly with the PASI score. The SAPASI and PASI scores showed moderate correlation. Internal consistency was good for the PASI and LS‐PGA scores. The PASI, BSA, PGA and LS‐PGA scores displayed limited intra‐observer variation. The inter‐observer variation was low for LS‐PGA (ICC < 0.5) and SAPASI, moderate for PASI, SPI and PGA and high for BSA (ICC > 0.8). The PASI score and the SAPASI displayed moderate sensitivity to change. Discussion Based on this systematic review, it appears that none of the severity scores used for psoriasis meets all of the validation criteria required for an ideal score. However, we can conclude that the PASI score is the most extensively studied psoriasis clinical severity score and the most thoroughly validated according to methodological validation criteria. Despite certain limitations, use of the PASI score can be recommended for scientific evaluation of the clinical severity of psoriasis.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1468-3083.2009.03562.x

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 24 references

Cited by

See all 309

Metadata

Authors
Puzenat, E., Bronsard, V, Prey, S., Gourraud, P., Aractingi, S., Bagot, M., Cribier, B., Joly, P., Jullien, D., Le Maitre, M., Paul, C., Richard‐Lallemand, M., Ortonne, J., & Aubin, F.
Venue
Journal of the European Academy of Dermatology and Venereology
Publisher
Wiley
Published
2010-03-04
Volume
24
Issue
s2
Pages
10-16
ISSN
  • 0926-9959 (ISSN-L)
  • 1468-3083
OpenAlex
W2092661515
Cited by
309
References
24
FWCI
1.14
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: What are the best outcome measures for assessing plaque psoriasis severity? A systematic review of the literature. https://app.cochat.ai/papers/10.1111/j.1468-3083.2009.03562.x
The paper
Puzenat, E., Bronsard, V, Prey, S., Gourraud, P., Aractingi, S., Bagot, M., Cribier, B., Joly, P., Jullien, D., Le Maitre, M., Paul, C., Richard‐Lallemand, M., Ortonne, J., & Aubin, F. (2010). What are the best outcome measures for assessing plaque psoriasis severity? A systematic review of the literature. Journal of the European Academy of Dermatology and Venereology. https://doi.org/10.1111/j.1468-3083.2009.03562.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.