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Record W2169038235 · doi:10.3109/10428194.2011.605188

Oral fludarabine and rituximab as initial therapy for chronic lymphocytic leukemia or small lymphocytic lymphoma: population-based experience matches clinical trials

2011· article· en· W2169038235 on OpenAlexafffund
Alina S. Gerrie, Cynthia L. Toze, Khaled M. A. Ramadan, Charles Li, Judy Sutherland, Adrian Yee, Joseph M. Connors

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2011
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsSt. Paul's HospitalVancouver General HospitalBC Cancer AgencyUniversity of British Columbia
FundersBC Cancer AgencyUniversity of British Columbia
KeywordsFludarabineMedicineChronic lymphocytic leukemiaRituximabInternal medicineDiscontinuationOncologyClinical trialPopulationLymphomaGastroenterologyLeukemiaChemotherapyCyclophosphamide

Abstract

fetched live from OpenAlex

Clinical trials report that fludarabine and rituximab (FR) as initial therapy for chronic lymphocytic leukemia (CLL) improves progression-free and overall survival (OS) when compared historically to fludarabine alone. To determine whether similar results are achievable with oral FR in a community-based setting, we conducted a population-based analysis of patients treated for CLL or small lymphocytic lymphoma (SLL) in British Columbia, where FR is standard initial therapy. Ninety-eight patients received FR for CLL/SLL from 2004 to 2009. Two- and 4-year OS was 90% and 73%, respectively (median not reached); 2- and 4-year treatment-free survival (TFS) was 69% and 54% (median 4.0 years). Age ≥ 60 years or ≥ 70 years had no effect on OS or TFS. Toxicity led to treatment discontinuation in 13%. FR with oral fludarabine was safely, conveniently and successfully given to community-based patients, irrespective of age, for first-line therapy for CLL/SLL, achieving OS and TFS similar to those in clinical trials.

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)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.169
GPT teacher head0.411
Teacher spread0.242 · 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 designOther design
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

Citations25
Published2011
Admission routes2
Has abstractyes

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