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Record W4406251622 · doi:10.1177/2050313x241311372

Case report: Diagnostic challenges of papulonodular mucinosis in a 67-year-old female

2025· article· en· W4406251622 on OpenAlexafffund
Holly E Zahary Loreman, Karen Holfeld

Bibliographic record

VenueSAGE Open Medical Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicSkin Diseases and Diabetes
Canadian institutionsUniversity of SaskatchewanUniversity of Calgary
FundersUniversity of Saskatchewan
KeywordsMucinosisMedicineDermisDermatologyAnti-nuclear antibodyPathologyPresentation (obstetrics)Connective tissueLupus erythematosusAutoantibodyAntibodyImmunologySurgery

Abstract

fetched live from OpenAlex

Papulonodular mucinosis is a rare dermatological condition characterized by mucin deposition in the dermis, leading to the formation of papules and nodules that can occur with, or antedate, autoimmune connective tissue diseases. This case report presents a 67-year-old female with a chronic history of cutaneous mucinosis, which posed significant diagnostic challenges. Despite various treatments and extensive diagnostic workup, her condition evolved, highlighting the difficulties in diagnosing papulonodular mucinosis, especially in the absence of systemic lupus erythematosus and antinuclear antibody positivity. The unusual presentation and diagnostic complexity underscore the need for awareness and thorough investigation in similar cases.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0030.001
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.025
GPT teacher head0.327
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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 routes2
Has abstractyes

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