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Record W2480309755 · doi:10.1182/blood.v112.11.970.970

Allogeneic Myeloablative Hematopoietic Stem Cell Transplantation for Chronic Myelogenous Leukemia in the Imatinib Era.

2008· article· en· W2480309755 on OpenAlexaff
Jiří Pavlů, Matthias Klammer, Ian Gabriel, Richard Szydlo, Eduardo Olavarría, Dragana Milojković, Andrea Kew, Katy Rezvani, Francesco Dazzi, David Marin, John M. Goldman, Jane F. Apperley

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsMedicineChronic myelogenous leukemiaTransplantationImatinibInternal medicineImatinib mesylateHematopoietic stem cell transplantationStem cellBusulfanLeukemiaSurgeryOncologyImmunologyMyeloid leukemia

Abstract

fetched live from OpenAlex

Abstract Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is no longer the first treatment option for patients with chronic myelogenous leukemia (CML) but there is a considerable debate about its use as a second line therapy. When used in this indication the second-generation tyrosine kinase inhibitors (2G-TKI) induce complete cytogenetic responses (CCyR) in 40–50% of patients in chronic phase but those without CCyR are unlikely to benefit in long term. It is therefore important to identify groups of patients with a good outcome after transplantation so that this may be offered as second line therapy where appropriate. The outcome of allo-SCT has improved over time so we restricted our analysis to the most recent 8 years to coincide with the introduction of imatinib into clinical practice. 131 patients received myeloablative transplants from January 2000 till December 2007. 67 patients were transplanted in chronic phase (14 in second and 2 in third chronic phase), 46 in accelerated phase and 2 in blastic phase. Forty-nine patients received imatinib at some point prior to transplantation and 30 of these experienced failure of imatinib therapy (as defined by European LeukemiaNet criteria). Conditioning consisted of cyclophosphamide and total body irradiation for 51 recipients of sibling stem cells. In addition in vivo T cell depletion with anti CD52 antibody (Campath 1H) was used for 80 unrelated donor transplants. The median age of the patients was 33.4 (15 to 56) years and the median disease duration at transplant was 13 (2 to 105) months. The probability of overall survival (OS) at 3 and 5 years was 64.8% and 62.6% respectively. We confirmed the prognostic value of the EBMT risk assessment score (Gratwohl) and pretransplant level of the C-reactive protein (CRP) and developed a combined additive pretransplant scoring system based on these predictive factors (EBMT risk assessment score plus 0 for CRP <2 mg/L, 1 for CRP from 2 to 10 mg/L, and 2 for CRP >10 mg/L). This identified 5 prognostic groups (Figure 1) with 3yr probabilities of survival of 92.6% (N= 27, score 0–1), 86.2% (N=29, score 2), 58.2% (N=29, score 3), 47.5% (N=20, score 4) and 30.8% (N=26, score 5 or more). The patients who failed imatinib (N=30) had significantly higher prognostic scores on the above described pre-transplant scoring system compared to the rest of patients transplanted (p=0.001). However, in a multivariate analysis adjusted for prognostic scores, their OS was significantly better (p=0.032). The OS in the best prognostic group is comparable with that of unselected patients treated with imatinib and it is possible that their long-term survival might be better. Allogeneic transplantation is unlikely to be preferred as the first line therapy even in selected patients due to its higher early mortality but our data support its use as second line therapy in patients in chronic phase who failed imatinib and have poor pre-2G-TKI predictive factors for CCyR as determined previously at our institution (namely Sokal risk score at diagnosis, the best cytogenetic response obtained on imatinib, G-CSF requirement during imatinib therapy and time from detection of imatinib failure to onset of 2G-TKI therapy) but achieved good score on the pre-transplant scoring system. It should also be used for those whose disease is more advanced where the 2G-TKI do not offer durable remissions. Figure 1 Figure 1.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.021
GPT teacher head0.251
Teacher spread0.231 · 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 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
Published2008
Admission routes1
Has abstractyes

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