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PS1534 EFFICACY AND SAFETY OF STEM CELL MOBILISATION FOLLOWING GDP SALVAGE IN PATIENTS WITH RELAPSED OR REFRACTORY LYMPHOMA

2019· article· en· W2951897386 on OpenAlexaffabout
Catherine Tang, Osvaldo Espin‐Garcia, Anca Prica, Vishal Kurkreti, Robert Kridel, Armand Keating, Christopher J. Patriquin, John Kuruvilla, Michael Crump

Bibliographic record

VenueHemaSphere · 2019
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicinePlerixaforSalvage therapyEtoposideApheresisRegimenGranulocyte colony-stimulating factorInternal medicineNeutropeniaGemcitabineSurgeryChemotherapyOncologyUrologyGastroenterologyCXCR4

Abstract

fetched live from OpenAlex

Background: High‐dose chemotherapy and autologous stem cell transplant (ASCT) remains a key treatment strategy in patients with relapsed/refractory (R/R) aggressive lymphoma. CCTG study LY.12 established gemcitabine, dexamethasone and cisplatin (GDP) as a standard salvage chemotherapy regimen for R/R lymphoma across Canada. Peripheral blood stem cell (PBSC) mobilisation on this salvage regimen can be achieved using granulocyte colony‐stimulating factor (GCSF) during salvage (GDP) or following an additional course of cyclophosphamide and etoposide (CE) at completion of salvage GDP; however these strategies have yet to be compared. Aims: To compare the efficacy and safety of PBSC mobilisation with GDP to our previous standard of CE since GDP was adopted as standard salvage therapy for R/R lymphoma. Methods: All patients undergoing PBSC mobilisation following salvage GDP for R/R lymphoma from January 2012 to August 2018 were included in this analysis. CE comprised C 2 g/m 2 d1, E 200 mg/m 2 d 1–3, and GCSF 10 μg/kg d4–12, with apheresis planned d13. For collection following GDP, GCSF was added 10 μg/kg d9–14, apheresis starting d15. Apheresis started when the blood CD34 count was ≥10 cells/μl, with target collection of ≥5 x 10 6 CD34+ cells/kg. From May 2014 plerixafor 24 μg/kg was added to GCSF in the event of slow or inadequate mobilisation. Primary outcomes were PB CD34+ count on planned day of apheresis and total CD34+ yield. Secondary outcomes included number of apheresis days, febrile neutropenia after mobilisation, time to engraftment, days admitted for transplant, blood product usage, PFS and OS. Results: A total of 339 patients underwent PBSC mobilisation, 210 following GDP and 129 after CE. Patients in the 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 total days of apheresis (median 2 vs 1 day; p = 0.001). The percentage of GDP patients collected on planned day of harvest and who required only one day of apheresis were 71% and 50% respectively, versus 84% and 69% respectively after CE. ROC curves (Figure 1) for platelets, neutrophils and PB CD34+ measured on planned day of collection confirm PB CD34+ as the best predictor for successful attainment of target CD34+ yield. In multivariable 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 (37/210 vs 6/129). However, when considering a target total CD34+ yield ≥5x10 6 /kg there was no difference between mobilisation regimens (p = 0.66). Similarly, on multivariable analysis, days to engraftment, ASCT admission duration and platelet transfusions required showed no statistical difference between the two mobilisation strategies; patients mobilised with CE required more RBC transfusion during ASCT (p = 0.04). Of interest, prior bone marrow involvement and use of plerixafor were both predictors for longer engraftment time (p = 0.013 and p = 0.007 respectively), after adjustment for mobilisation and CD34+ yield. Although total CD34+ yield was not associated with days to engraftment on multivariable analysis, it was independently associated with blood product usage and day 100 blood count recovery. In multivariable Cox analyses, disease status at time of ASCT was the main predictor of PFS and OS. Summary/Conclusion: While CE/GCSF appears to be a more efficient method of mobilisation in patients undergoing GDP salvage for R/R lymphoma, this did not translate to significant differences in clinical outcomes such as engraftment or duration of hospital admission. image

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 score0.016
Threshold uncertainty score0.331

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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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 routes2
Has abstractyes

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