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Record W2032810181 · doi:10.1016/j.bbmt.2009.11.021

Allogeneic Hematopoietic Cell Transplant for Prolymphocytic Leukemia

2009· article· en· W2032810181 on OpenAlex
Matt Kalaycio, Manisha Kukreja, Ann E. Woolfrey, Jeff Szer, Jörge E. Cortes, Richard T. Maziarz, Brian J. Bolwell, Andreas Buser, Edward A. Copelan, Robert Peter Gale, Vikas Gupta, Dipnarine Maharaj, David I. Marks, Steven Z. Pavletic, Mary M. Horowitz, Mukta Arora

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2009
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsPrincess Margaret Cancer Centre
FundersNational Institute of Allergy and Infectious DiseasesNational Cancer InstituteOffice of Naval ResearchHealth Resources and Services AdministrationAssociation of Medical Microbiology and Infectious Disease CanadaSociety for Healthcare Epidemiology of AmericaHospiraInfectious Diseases Society of AmericaCellGenixMedical College of WisconsinBlue Cross and Blue Shield AssociationAmerican Society for Blood and Marrow TransplantationKiadis PharmaTherakosCenters for Disease Control and PreventionCelgeneOsiris TherapeuticsWellPointTeva Pharmaceutical IndustriesOncology Nursing SocietyAetnaNational Marrow Donor ProgramAABBU.S. Department of Health and Human ServicesAstellas Pharma USAmgenU.S. Department of DefenseNational Heart, Lung, and Blood InstituteSysmex Corporation
KeywordsMedicineProlymphocytic leukemiaInternal medicineCumulative incidenceConfidence intervalOncologyPopulationIncidence (geometry)Hematopoietic cellLeukemiaTransplantationSurgeryHaematopoiesisStem cellChronic lymphocytic leukemia

Abstract

fetched live from OpenAlex

The poor prognosis of patients with prolymphocytic leukemia (PLL) has led some clinicians to recommend allogeneic hematopoietic cell transplant (HCT). However, the data to support this approach is limited to case-reports and small case series. We reviewed the database of the Center for International Blood and Marrow Transplant Research (CIBMTR) to determine outcomes after allotransplant for patients with PLL. We identified 47 patients with a median age of 54 years (range: 30-75 years). With a median follow-up of 13 months, progression-free survival (PFS) was 33% (95% confidence interval [CI] 20%-47%) at 1 year. The most common cause of death was relapse or progression in 49%. The cumulative incidence of treatment-related mortality (TRM) at 1-year posttransplant was 28%. The small patient population prohibited prognostic factor analysis, but these data support consideration of allotransplant for PLL. Further study of a larger population of patients is needed to determine which patients are more likely to benefit. The poor prognosis of patients with prolymphocytic leukemia (PLL) has led some clinicians to recommend allogeneic hematopoietic cell transplant (HCT). However, the data to support this approach is limited to case-reports and small case series. We reviewed the database of the Center for International Blood and Marrow Transplant Research (CIBMTR) to determine outcomes after allotransplant for patients with PLL. We identified 47 patients with a median age of 54 years (range: 30-75 years). With a median follow-up of 13 months, progression-free survival (PFS) was 33% (95% confidence interval [CI] 20%-47%) at 1 year. The most common cause of death was relapse or progression in 49%. The cumulative incidence of treatment-related mortality (TRM) at 1-year posttransplant was 28%. The small patient population prohibited prognostic factor analysis, but these data support consideration of allotransplant for PLL. Further study of a larger population of patients is needed to determine which patients are more likely to benefit.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.541

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 studies0.0000.000
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 head0.013
GPT teacher head0.272
Teacher spread0.259 · 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