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Record W4394009934 · doi:10.1080/10428194.2024.2336046

Gammopathic dermopathy: characterization of cutaneous MGUS

2024· article· en· W4394009934 on OpenAlexaff
Emily R. Gordon, Caroline Chen, Megan H. Trager, Oluwaseyi Adeuyan, Brigit A. Lapolla, Lauren M. Fahmy, Celine M. Schreidah, David A. Wetter, Larisa J. Geskin

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2024
Typearticle
Languageen
FieldMedicine
TopicSkin Diseases and Diabetes
Canadian institutionsColumbia College
Fundersnot available
KeywordsMedicineMonoclonal gammopathy of undetermined significanceDermatologyMacroglobulinemiaGammopathyMonoclonal gammopathyMonoclonalPathologyMultiple myelomaImmunologyMonoclonal antibodyAntibody

Abstract

fetched live from OpenAlex

Monoclonal Gammopathy of Undetermined Significance (MGUS) is a clonal plasma cell disorder that is considered preneoplastic, asymptomatic, and only requiring observation. However, MGUS may result in cutaneous complications, which are poorly understood, causing treatment delays and patient suffering. We present 30 patients with cutaneous findings associated with MGUS, characterizing clinical presentations, isoforms, treatments, and outcomes. These included: MGUS-associated 'rashes' (pruritic eczematous rashes), reactive and mucin-depositional conditions (pyoderma gangrenosum, scleromyxedema), M-protein-related deposition disorders (POEMS syndrome, Waldenstrom macroglobulinemia), and cutaneous lymphomas. Twelve of 30 (40%) patients received multiple myeloma drugs (MMDs). Eleven (92%) patients improved, and those not receiving MMDs rarely improved, suggesting that MMDs have efficacy for cutaneous manifestations of MGUS. Therefore, trialing MMDs may be warranted for patients with MGUS not responding to other therapies. Moreover, evaluation for monoclonal gammopathy in elderly patients with intractable pruritus or other chronic skin conditions that are non-responsive to skin-directed therapies should be considered.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.229
Teacher spread0.222 · 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.

Study designOther design
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

Citations3
Published2024
Admission routes1
Has abstractyes

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