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Record W2951527270 · doi:10.1002/hon.112_2631

EFFICIENCY AND SAFETY OF STEM CELL MOBILIZATION FOLLOWING GDP SALVAGE IN PATIENTS WITH RELAPSED OR REFRACTORY LYMPHOMA

2019· article· en· W2951527270 on OpenAlexaff
Catherine Tang, Osvaldo Espin‐Garcia, Anca Prica, Vishal Kukreti, Robert Kridel, Armand Keating, John Kuruvilla, Michael Crump

Bibliographic record

VenueHematological Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicinePlerixaforApheresisLeukapheresisEtoposideGranulocyte colony-stimulating factorNeutropeniaInternal medicineGemcitabineRegimenSurgeryUrologyChemotherapyCD34Stem cellCXCR4

Abstract

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Background: High-dose chemotherapy and autologous stem cell transplant (ASCT) remains a key treatment strategy in patients (pts) with relapsed/refractory (R/R) aggressive lymphoma. After CCTG study LY.12 (Crump, et al, JCO 2014) established gemcitabine, dexamethasone and cisplatin (GDP) as standard salvage chemotherapy regimen at our centre, we replaced our previous mobilization strategy using cyclophosphamide + etoposide (CE) with PBSC collection using GDP. The aim of this study was to compare the efficiency, resource use and ASCT outcomes of PBSC mobilisation with GDP to CE. Methods: All pts undergoing PBSC mobilization following salvage GDP for R/R lymphoma from 1/2012 to 8/2018 were included in this analysis. CE comprised C 2 g/m2 d1, E 200mg/m2 d 1-3 + GCSF 10μg/kg d4-12, with apheresis planned d13. For collection following GDP, GCSF was added 10μg/kg d9-14, apheresis starting d15. Leukapheresis started when the blood CD34 count was >10 cells/μl (target >5 x 106 CD34 cells/kg). From May 2014 plerixafor 24 μg/kg was added to GCSF for slow or inadequate mobilization. Primary outcomes were PB CD34 count on planned day of apheresis and total CD34 cell yield. Secondary outcomes included number of apheresis days, febrile neutropenia after mobilisation, engraftment, hospital stay, transfusions, PFS and OS. Results: A total of 339 pts underwent PBSC mobilisation, 210 following GDP and 129 after CE. Pts in GDP group had more delays from planned to actual day of collection (mean 0.7 vs 0.4 days, p=0.006) and required more days of apheresis (mean, 1.7 vs 1.5 days, p = 0.001). The percentage of GDP pts collected on planned day of harvest and who required only one day of apheresis were 71% and 50%, versus 84% and 69% respectively after CE. In multi-variable analysis, CE led to both higher PB CD34 count on planned day of harvest and higher total CD34 yield (both p<0.001), despite a higher rate of plerixafor use in the GDP group (36/210 vs y/129). When considering a target CD34 yield ≥5x106/kg there was no difference between mobilization regimens (p=0.66). Similarly, on multivariable analysis, febrile neutropenia during mobilization, days to engraftment, ASCT admission duration and platelet transfusions did not differ between the two strategies; pts mobilized with CE required more RBC transfusion during ASCT (p=0.04). Prior BM involvement and plerixafor use were independent predictors for longer engraftment (p=0.013 and p=0.007 respectively), irrespective of regimen and CD34 yield. In multi-variable Cox analyses, disease status at time of ASCT was the main predictor of PFS and OS. Conclusions: CE+GCSF appears to be a more efficient mobilization method than GDP+GCSF with regard to number and timing of leukapheresis in pts undergoing GDP salvage for R/R lymphoma; however this did not translate to significant differences in engraftment or length of hospital admission. Keywords: autologous stem cell transplantation (ASCT); gemcitabine; salvage treatment.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.262

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)0.0000.000

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 head0.012
GPT teacher head0.266
Teacher spread0.254 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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