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Infiltración pleural en la recaída de un mieloma múltiple

2017· article· es· W2792685463 on OpenAlexaff
Joud Zanabili, Laura Francisca Ávila Idrovo, Sara Alonso Álvarez, Eduardo Higueras Mora, Sana Shehadeh Mahmalat

Bibliographic record

VenueRevista de la Facultad de Ciencias Médicas de Córdoba · 2017
Typearticle
Languagees
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsCanarie
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

El mieloma múltiple (MM) puede afectar al tórax en forma de lesiones óseas, plasmocitomas, infiltraciones pulmonares y derrame pleural. El derrame pleural por infiltración de células plasmáticas es poco frecuente, con una incidencia del 0,8% y menos de 100 casos descritos hasta la fecha. Presentamos el caso de un varón de 60 años que se le diagnosticó de mieloma múltiple. Tras recibir tratamiento y alcanzando remisión completa, se constata recaída precoz en forma de derrame pleural. Mostramos imágenes radiológicas, citológicas y de la traslocación t(14;16) por FISH. Se ha reportado que esta traslocación denota mal pronóstico, una clínica más agresiva y, a diferencia de otros subgrupos moleculares, su resultado no mejora con la introducción de bortezomib.

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)0.005
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.026
GPT teacher head0.358
Teacher spread0.331 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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