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Record W4384199484 · doi:10.58931/cht.2023.2235

Initiating venetoclax treatment: Clinical practice pearls

2023· article· en· W4384199484 on OpenAlexaffabout
Dwip Prajapati

Bibliographic record

VenueCanadian Hematology Today · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsRed Deer Regional HospitalUniversity of Calgary
Fundersnot available
KeywordsVenetoclaxTumor lysis syndromeChronic lymphocytic leukemiaMedicineAzacitidineMyeloid leukemiaLymphomaCancer researchOncologyLeukemiaInternal medicineChemotherapyBiologyDNA methylation

Abstract

fetched live from OpenAlex

Overexpression of BCL-2 has been demonstrated in chronic lymphocytic leukemia (CLL) and acute myeloid leukemia (AML) cells where it mediates tumor cell survival and has been associated with resistance to chemotherapeutics. Venetoclax is a selective and orally bioavailable small- molecule inhibitor of BCL-2, an anti-apoptotic protein. Based on evidence demonstrating improvement in progression-free survival (PFS) and overall survival (OS), it has been approved in Canada for various regimens in the treatment of CLL and AML (i.e., venetoclax monotherapy, venetoclax/obinutuzumab and venetoclax/rituximab for CLL and venetoclax/azacitidine for AML). Initiation of venetoclax can be complicated as it requires ramp-up dosing with bloodwork and hydration to reduce the risk for tumor lysis syndrome (TLS). This article will focus on providing guidance during the initiation of venetoclax, particularly in resource limited centres.

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)0.003
metaresearch head score (Gemma)0.016
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: Methods · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0020.001
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0120.004

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 head0.082
GPT teacher head0.416
Teacher spread0.333 · 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
GenreMethods

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
Published2023
Admission routes2
Has abstractyes

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