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Record W3083669839 · doi:10.3747/co.27.7009

Highlights from ASCO 2020: Updates on the Treatment of Chronic Lymphocytic Leukemia

2020· article· en· W3083669839 on OpenAlexaffvenueabout
Sean Dolan, Anna Christofides, Sarah Doucette, Mona Shafey

Bibliographic record

VenueCurrent Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsUniversity of CalgaryImpactFluidigm (Canada)Saint John Regional HospitalDalhousie University
FundersJapan Society for the Promotion of Science
KeywordsIbrutinibVenetoclaxMedicineChronic lymphocytic leukemiaOncologyClinical OncologyPandemicInternal medicineCoronavirus disease 2019 (COVID-19)LeukemiaIntensive care medicineCancerDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Because of the global coronavirus pandemic, the 2020 annual scientific meeting of the American Society of Clinical Oncology took place virtually, 29-30 May. At the meeting, results from key studies about the treatment of chronic lymphocytic leukemia (cll) were disseminated. Studies examined the efficacy and safety of ibrutinib, acalabrutinib, zanubrutinib, and venetoclax as monotherapy or in combination with novel agents for patients with treatment-naïve and relapsed or refractory cll. Our meeting report describes the foregoing studies and presents interviews with investigators and commentaries by Canadian hematologists about potential effects on Canadian practice.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.001

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 head0.110
GPT teacher head0.386
Teacher spread0.276 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2020
Admission routes3
Has abstractyes

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