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Record W2783634626 · doi:10.14740/jh356w

Clinical Resolution of Red Cell Aplasia Associated del 17p Multiple Myeloma, When Treated With Bortezomib and Dexamethasone

2018· article· en· W2783634626 on OpenAlexvenueno aff
Abdullah Ladha, Yelena Fudym, Teresa Gentile

Bibliographic record

VenueJournal of Hematology · 2018
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsBortezomibMultiple myelomaMedicinePure red cell aplasiaBone marrowDexamethasoneAplasiaPlasma cellAnemiaInternal medicineGastroenterologyOncologyCancer research

Abstract

fetched live from OpenAlex

Red cell aplasia has been rarely described in association with multiple myeloma. We present a case of a 79-year-old female, who was initially diagnosed with iron deficiency anemia, which did not improve with iron supplementation and required blood transfusions. Bone marrow biopsy showed red cell aplasia associated with kappa light chain multiple myeloma with 14.8% plasma cells. Further tests showed 0.35 g/dL M protein, and kappa/lambda ratio was 131.84. Cytogenetic showed deletion 13q, deletion 17p, loss of 1p and gain of chromosome 5. Multiple myeloma directed treatment with bortezomib and dexamethasone was initiated. Patient had clinical resolution of anemia and did not require further blood transfusions. This is an intriguing case of red cell aplasia associated with poor risk multiple myeloma (del 17p), which showed clinical improvement in anemia with bortezomib-based therapy. This case highlights the role of clonal plasma cells proliferation in the pathogenesis of red cell aplasia as myeloma directed treatment helped patient to become transfusion independent.

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)0.001
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 score0.047
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.038
GPT teacher head0.335
Teacher spread0.297 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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