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Record W4206492015 · doi:10.1097/psn.0000000000000316

Lipedema: A Commonly Misdiagnosed Fat Disorder

2020· article· en· W4206492015 on OpenAlexaff
Marcelle Caruana

Bibliographic record

VenuePlastic Surgical Nursing · 2020
Typearticle
Languageen
FieldMedicine
TopicLymphatic System and Diseases
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsMedicineDermatology

Abstract

fetched live from OpenAlex

Lipedema is a fat disorder that is often misdiagnosed. It was first identified at the Mayo Clinic in 1940, but medical schools do not include it in their curriculum and is therefore poorly understood. It presents as disproportionate and symmetrical accumulations of fat (bilateral), which is often accompanied by orthostatic edema. Early diagnosis and treatment are crucial, as the disease is progressive and can lead to immobility as well as a significant decrease in the quality of life. Lipedema differs from obesity because it does not respond to diet and exercise. This article gives you a glimpse into what lipedema is about and will help you identify some differences between lipedema and lymphedema. It will also help you identify which surgical procedures have been successful in treating the disease.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.667

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.288
Teacher spread0.260 · 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 designObservational
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

Citations8
Published2020
Admission routes1
Has abstractyes

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