Evidence map›Paper›PMID 40434066›Full record

ArticleDermatology reports2026

S-MAPA: bridging the gap in psoriasis severity assessment.

Trang Thi Thuy Vu, Chuyen Thi Hong Nguyen, Trung The Van

Abstract read
In one paragraph

Article in Dermatology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Trang Thi Thuy VuDepartment of Dermatology, University of Medicine and Pharmacy at Chi Minh City; Department of Dermatology, Tam Anh Hospital, Ho Chi Minh City.ORCID 0000-0003-1408-5343
Chuyen Thi Hong NguyenDepartment of Dermatology, University of Medicine and Pharmacy at Chi Minh City.ORCID 0000-0001-8978-6182
Trung The VanDepartment of Dermatology, University of Medicine and Pharmacy at Chi Minh City.ORCID 0000-0001-9453-7172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Psoriasis Area and Severity Index (PASI) is widely used to evaluate psoriatic disease activity in clinical settings; however, its limitations hinder its practicality in routine use. The Simple-Measure for Assessing Psoriasis Severity (S-MAPA) has emerged as a promising tool addressing these limitations, providing a more feasible approach for assessing disease severity. This study aimed to evaluate the S-MAPA as a sensitive and practical alternative to existing instruments for measuring psoriasis severity. Patients with psoriasis were assessed using body surface area (BSA), the Physician's Global Assessment (PGA), S-MAPA, PASI, and Dermatology Life Quality Index (DLQI). Plasma high-sensitivity C-reactive protein (hs-CRP) levels were also measured. Spearman's correlation analysis compared the relationships between these assessment tools and hs-CRP levels. In total, 100 assessments were conducted between January and July 2019. The S-MAPA score and PASI showed a strong positive correlation with disease severity (r=0.9315, p<0.01). Both the S-MAPA score exhibited comparable correlations with hs-CRP levels (r=0.5299 vs. 0.5316) and the DLQI (r=0.2533 vs. 0.2641). The S-MAPA score demonstrated stronger correlations with the PASI, DLQI, and hs-CRP level than with BSA or the PGA score. The area under the receiver operating characteristic curve for the S-MAPA was 0.9787, with an optimal cut-off value of 138 for predicting severe psoriasis (sensitivity, 92.59%; specificity, 95.89%). Based on our findings, the S-MAPA is a reliable and practical alternative for assessing the severity of psoriasis in clinical practice, offering advantages over conventional measures.

Indexed as

PASIPGAxBSApsoriasispsoriasis severity measurementS-MAPA

Identifiers

PMID40434066
PMCPMC12990047

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.