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Record W3201781554 · doi:10.14740/jmc3759

Polyneuropathy, Organomegaly, Endocrinopathy, Monoclonal Protein, and Skin Changes Associated With Castleman Disease: A Common Misdiagnosis

2021· article· en· W3201781554 on OpenAlexvenueno aff
Vanessa Palha, Elisa Condez, Valentim Lopes, Carla Ferreira, Joana Sotto Mayor, Teresa Pimentel, Narciso Oliveira, Márcio Tavares

Bibliographic record

VenueJournal of Medical Cases · 2021
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOrganomegalyPOEMS syndromePolyneuropathyCastleman diseaseHepatosplenomegalyAnasarcaPathologyDermatologyDiseaseSurgery

Abstract

fetched live from OpenAlex

Castleman disease is a rare lymphoproliferative disorder. Co-presentation with polyneuropathy, organomegaly, endocrinopathy, monoclonal protein, and skin changes (POEMS syndrome) has been documented in 11-30% of Castleman disease cases. POEMS syndrome is a rare paraneoplastic disorder characterized by polyneuropathy, organomegaly, endocrinopathy, monoclonal protein, and skin changes. Not all features are required to make the diagnosis. We report a case of a woman who presented with a 1-year history of a left-side supraclavicular swelling associated with constitutional symptoms and symmetrical paresthesia of the lower limbs. In addition, she had skin hyperpigmentation, multiple supra and infra-diaphragmatic lymphadenopathies, hepatosplenomegaly and osteosclerotic lesions. Serum immunofixation was positive for immunoglobulin G-kappa gammopathy. A lymph node excisional biopsy was compatible with Castleman disease. The diagnosis of POEMS syndrome associated with Castleman disease was made. Our patient started treatment with a combination of bortezomib, cyclophosphamide, and dexamethasone with clinical and analytical improvement. Current treatment of POEMS syndrome associated with Castleman disease is focused on the management of POEMS syndrome. Early diagnosis requires a high index of suspicion and is crucial to reduce morbidity and mortality. This case report aims to raise awareness about this rare entity.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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