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Dose Intensive Induction Chemotherapy Does Not Decrease Tumor Contamination of Autograft or Improve Survival for Multiple Myeloma Patients Undergoing Autologous Stem Cell Transplant.

2005· article· en· W2991977565 on OpenAlexaff
Farzana Sayani, Nizar J. Bahlis, Peter Faris, Mary Lynn Savoie, Ahsan Chaudhry, Oluyemi Jeje, Christopher B. Brown, James A. Russell, Douglas A. Stewart

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineMultiple myelomaInternal medicineEtoposideAutologous stem-cell transplantationChemotherapyMelphalanTransplantationSurgeryCyclophosphamideGastroenterologyUrologyOncology

Abstract

fetched live from OpenAlex

Abstract Multiple dose intensive chemotherapy regimens have been used for induction/mobilization of stem cells for autologous stem cell transplantation (ASCT) in multiple myeloma. However, the exact role and regimens of such dose intensive chemotherapy has not been clearly defined. We therefore did a retrospective study to determine if dose intensive cyclophosphamide (Cyclo) 5.25 g/m2, etoposide 1.05 g/m2 and cisplatin 105 mg/m2 (DICEP) results in improved relapse rate and survival compared to standard mobilization with only Cyclo 2 g/m2. Between January 1998 and March 2004, a consecutive series of 57 newly diagnosed multiple myeloma patients receiving DICEP (38) or Cyclo (19) for in-vivo purging/mobilization were analyzed. Both groups were similar in regards to age and sex. There were no significant differences in IPI score, Durie-Salmon stage, B2 microglobulin, calcium, creatinine and albumin levels between treatment groups. Outcomes included time to relapse and time to death. Median follow up time was 799 days. Kaplan-Meier plots for time to relapse showed no significant difference (p=0.0992). Median relapse time in the DICEP group was 905 days (95% CI 580–1604) compared to 1112 days (95% CI 742-infinity) in the Cyclo group. Kaplan-Meier plots for overall survival showed no significant difference between both groups (p=0.8664). The median survival times have not yet been reached in either group and are not reported. Analysis revealed no discernable confounding risk factors. Effects of treatment on outcomes were not altered after adjusting for IPI score and Durie-Salmon staging using the stratified log-rank test. Small sample size and short duration of followup are potential limiting factors for this study, however, preliminary analysis of a larger sample of 91 multiple myeloma patients receiving either DICEP or a less intense induction/mobilization regimen, also revealed no significant difference in disease free or overall survival. Monoclonal plasma cell contamination of stem cell products was not significantly different between both groups (DICEP 42.9%, Cyclo 56.3%, p=0.5573). This study therefore suggests that the very intense DICEP induction/mobilization regimen results in no significant difference in survival outcomes. The more intense regimen does not significantly decrease tumor contamination of autograft stem cells. Overall, our experience suggests that novel induction therapies such as bortezomib, lenolidomide etc. should be pursued in preference to any further study of high dose cytotoxic chemotherapy induction. Figure Figure

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.020
GPT teacher head0.271
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2005
Admission routes1
Has abstractyes

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