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Record W3169117957 · doi:10.1016/j.ctarc.2021.100414

Practical management and assessment of primary plasma cell leukemia in the novel agent era

2021· review· en· W3169117957 on OpenAlexaff
Alissa Visram, Anna Suska, Artur Jurczyszyn, Wilson I. Gonsalves

Bibliographic record

VenueCancer Treatment and Research Communications · 2021
Typereview
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersNational Cancer Institute
KeywordsPlasma cell leukemiaMalignancyMedicineMultiple myelomaLeukemiaClinical trialOncologyInternal medicine

Abstract

fetched live from OpenAlex

• Primary plasma cell leukemia (pPCL) is a rare and aggressive malignancy with a distinct clinical presentation compared to multiple myeloma. • pPCL has preponderances to specific primary cytogenetic abnormalities such as t (11;14) as well as other high risk cytogenetic features. • Achieving a deep and sustained response is an ideal goal for improved outcomes in this aggressive malignancy. • Future clinical trials incorporating novel small molecule inhibitors and immunotherapeutic approaches into the treatment armamentarium are critical for improving the outcomes of patients with pPCL.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.407
GPT teacher head0.554
Teacher spread0.146 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2021
Admission routes1
Has abstractyes

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