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Record W4414224054 · doi:10.2196/77714

Acral Persistent Papular Mucinosis in the United States: Case Series and Literature Review

2025· review· en· W4414224054 on OpenAlexvenueno aff
Devin Miller, Rachel Manci, Jayendra Patel, William Guo, Daniel Lozeau, James Briley

Bibliographic record

VenueJMIR Dermatology · 2025
Typereview
Languageen
FieldMedicine
TopicSkin Diseases and Diabetes
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)MEDLINEFeature (linguistics)Clinical PracticeMargin (machine learning)

Abstract

fetched live from OpenAlex

Background: Acral persistent papular mucinosis (APPM) is a localized variant of lichen myxedematosus (LM) characterized by asymptomatic, flesh-colored papules primarily distributed on the hands and forearms. This chronic dermatosis, distinct from generalized mucinosis due to its lack of systemic involvement, remains underreported in medical literature. Objective: In this study, we present two cases of APPM to the limited pool of documented cases in the United States, highlighting its emerging recognition. Methods: This is a case series of two patients presenting with asymptomatic papular eruptions on the hands and wrists, consistent with the typical presentation of APPM. Diagnostic confirmation via biopsy revealed focal cutaneous mucinosis. Comprehensive laboratory evaluations, including serum and urine protein electrophoresis, showed no evidence of underlying gammopathy in either patient. Results: Treatment modalities for APPM are limited and often ineffective. Unlike other forms of LM, APPM features are confined to skin lesions, posing primarily as a cosmetic concern with a favorable prognosis. Accurate diagnosis of this localized LM is crucial to differentiate it from the more severe, generalized form, scleromyxedema, which can have organ involvement and may become fatal. Notably, while spontaneous resolution is reported in LM, including discrete papular mucinosis, APPM typically persists without resolution even after extended follow-up. Conclusions: These cases underscore the importance of recognizing APPM and advocating for broader awareness and exploration of its clinical variability, etiology, and management strategies. With increasing recognition, the understanding of APPM can be enhanced, paving the way for optimized management and improved outcomes for affected individuals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.701
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.347
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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