MétaCan
Menu
Back to cohort
Record W4225709908 · doi:10.1016/j.gastha.2022.02.028

Extramedullary Myeloma to the Liver Following Bispecific Antigen T-Cell Treatment for Refractory Multiple Myeloma

2022· article· en· W4225709908 on OpenAlexaff
Joëlle St‐Pierre, Denise A. Chan, Stephen E. Congly

Bibliographic record

VenueGastro Hep Advances · 2022
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineMultiple myelomaRadiologyChemotherapyNuclear medicinePathologyInternal medicine

Abstract

fetched live from OpenAlex

A 70-year-old man diagnosed with refractory multiple myeloma was admitted to hospital for an elevation in his liver enzymes. In the 7 years since diagnosis, he had undergone 8 chemotherapy regimens, an autologous stem cell transplant, and palliative chemotherapy to his T-spine. He was now undergoing bispecific antigen T-cell treatment with the elevation in his liver enzymes occurring 2 days after his initial treatment. He underwent liver imaging as part of his workup. Previous CT scans of his abdomen showed a normal liver in May 2020, and in October 2020, they showed a nonspecific hypoattenuation in the inferior right hepatic lobe. A whole-body PET/CT was done and, in addition to multiple bone lesions to ribs, T-spine, and long bones, showed multiple fluorodeoxyglucose avid liver masses measuring 11 3 cm ( A contrastenhanced ultrasound confirmed the presence of multiple solid liver masses with malignant enhancement characteristics in keeping with plasmacytomas ( MRI of his liver showed identical signal characteristics and enhancement pattern compared to extensive pleural and chest wall and paravertebral masses consistent with plasmacytoma ( The bispecific antigen T-cell treatment was subsequently discontinued. Unfortunately, the patient had progressive renal failure and died approximately 1 month later.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.035
GPT teacher head0.310
Teacher spread0.275 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueGastro Hep AdvancesSame topicMultiple Myeloma Research and TreatmentsFrench-language works237,207