Evidence map›Paper›PMID 33911757›Full record

ArticleAnnals of dermatology2020

Predictive Model for Differential Diagnosis of Inflammatory Papular Dermatoses of the Face.

Bo Ri Kim, Minsu Kim, Chong Won Choi, Soyun Cho, Sang Woong Youn

Open access · diamondAbstract read
In one paragraph

Article in Annals of dermatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Bo Ri KimDepartment of Dermatology, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0002-2223-1606
Minsu KimDepartment of Dermatology, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0003-0590-7894
Chong Won ChoiDepartment of Dermatology, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0001-9994-8819
Soyun ChoDepartment of Dermatology, SMG-SNU Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0003-2468-485X
Sang Woong YounDepartment of Dermatology, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0002-5602-3530
Seoul National University Bundang Hospital · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical features of inflammatory papular dermatoses of the face are very similar. Their clinical manifestations have been described on the basis of a small number of case reports and are not specific.

objectiveThis study aimed to use computer-aided image analysis (CAIA) to compare the clinical features and parameters of inflammatory papular dermatoses of the face and to develop a formalized diagnostic algorithm based on the significant findings.

methodsThe study included clinicopathologically confirmed inflammatory papular dermatoses of the face: 8 cases of eosinophilic pustular folliculitis (EPF), 13 of granulomatous periorificial dermatitis-lupus miliaris disseminatus faciei (GPD-LMDF) complex, 41 of granulomatous rosacea-papulopustular rosacea complex (GR-PPR) complex, and 4 of folliculitis. Clinical features were evaluated, and area density of papular lesions was quantitatively measured with CAIA. Based on these variables, we developed a predictive model for differential diagnosis using classification and regression tree analysis.

resultsThe EPF group showed lesion asymmetry and annular clusters of papules in all cases. The GPD-LMDF complex group had significantly higher periocular density. The GR-PPR complex group showed a higher area density of unilateral cheek papules and the highest total area density. According to the predictive model, 3 variables were used for differential diagnosis of the 4 disease groups, and each group was diagnosed with a predicted probability of 67%~100%.

conclusionWe statistically confirmed the distinct clinical features of inflammatory papular dermatoses of the face and proposed a diagnostic algorithm for clinical diagnosis.

Indexed as

AlgorithmsComputer-assistedDecision treesdiagnosisFacial dermatosesGranulomatous rosaceaPerioral dermatitis

Identifiers

PMID33911757
PMCPMC7992653
OpenAlexW3041031815

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.