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Record W4255813817 · doi:10.14740/jmc2469w

Multiple Symmetrical Lipomatosis: Madelung’s Disease

2016· article· en· W4255813817 on OpenAlexvenueno aff
Margarida Carvalho, Pedro Palma, Filipa Silva, Marta Patacho, Fátima Coelho

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLipomatosisEtiologyDiseaseDermatologyRare diseaseAlcohol abusePediatricsIncidence (geometry)SurgeryPathologyPsychiatry

Abstract

fetched live from OpenAlex

Multiple symmetric lipomatosis or Madelung’s disease is a rare condition which is characterized by multiple symmetric and disfiguring accumulation of non-capsulated fat tissue depositions mostly in upper arms, neck, and shoulder areas. The disease etiology is unknown, with the highest incidence in the Mediterranean region and an association with alcohol abuse. We present a case of a patient admitted to our internal medicine department for cervical mass study. This patient was already studied by his general practitioner because of thyroid disease suspicion. During our study, diagnosis of Madelung’s disease with typical fat depositions was established. This article is a short review of the topic and points out the possible diagnostic difficulties presented in early stages of the disease. J Med Cases. 2016;7(5):178-180 doi: https://doi.org/10.14740/jmc2469w

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)0.000
metaresearch head score (Gemma)0.001
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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.031
GPT teacher head0.294
Teacher spread0.263 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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