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Descriptive Analysis of Azacitidine Use in Four Adult University Teaching Hospitals in Quebec, Canada

2015· article· en· W2466370808 on OpenAlexaffabout
Ghislain Bérard, Nathalie Marcotte, M F Michel, Paul Farand, Louise Deschênes, Daniel Froment, France Varin, Pierre Gaudreault, Élaine Pelletier, Chantal Guévremont, Raghu Rajan, Nathalie Letarte, Harold J. Olney

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité LavalHôpital Notre-DameCentre Hospitalier Universitaire de Sherbrooke
Fundersnot available
KeywordsMedicineInternational Prognostic Scoring SystemAzacitidineInternal medicineChronic myelomonocytic leukemiaMyelodysplastic syndromesPopulationPharmacyPediatricsFamily medicineBone marrow

Abstract

fetched live from OpenAlex

Abstract Background: Azacitidine (5-AZA; Vidaza®), a pyrimidine nucleoside analog, is used in the treatment of myelodysplastic syndrome (MDS) and other hematological malignancies. Pharmacy directors gave the Therapeutic Drug Management Program (TDMP - www.pgtm.qc.ca) the mandate to evaluate 5-AZA use in four University Hospitals in Quebec, Canada. Objectives: Describe and review 5-AZA use for all indications in our hospitals. Methods: A review of pharmacy databases was performed to identify patients who received 5-AZA between January 1st 2010 and May 31st 2013. Files and medical records of every patient who received 5-AZA during the study period were reviewed to assess diagnostic (including International Prognostic Scoring System (IPSS) scores), treatment, response and non-hematological adverse events. Results: A total of 77 patients received 5-AZA during the study period, 56 (72.7 %) for the treatment of MDS, 15 (19.5 %) for acute myeloid leukemia (AML) and 6 (7.8 %) for chronic myelomonocytic leukemia (CMML). At the end of the study period, 31 patients were alive (14 were still on treatment), 35 patients had died and 11 were lost to follow up. Excluding the 14 patients still on treatment, 32 patients (50.8 %) received at least 6 cycles of 5-AZA. In the MDS population (76.7 % with an intermediate-2 or higher IPSS score), patients received a mean of 8.0 cycles (median = 6) and the overall benefit rate (OBR) (complete remission, partial remission, hematological improvement or stable disease) was 48.2 %. The median overall survival (OS) was 17.8 months and the median time to progression (TTP) was 9.7 months. MDS transformation to AML occurred in 16 patients after a mean of 9.9 months. Median time to transformation or death in the MDS population was 14.4 months. In the AML population, patients received a mean of 6.6 cycles (median = 5) and the OBR was 26.7 %. The median OS was 12.2 months and the median TTP was 6.5 months. In the CMML population, patients received a mean of 10 cycles (median = 5.5) and the OBR was 50% (3 of the 6 patients achieved stable disease). Across all patient populations, a 5-AZA dose of 75 mg/m2 for 7 days every 28 days was used in 77.8% of patients. Non-hematological adverse events were seen in 67 patients (87 %) but were mostly mild and most did not lead to delays or dose reductions (treatment intensity of 96 %). Conclusions: Our results show that 5-AZA had a more limited benefit in our real-life population when compared to published clinical trials (OBR of 44.2 % in MDS, AML and CMML populations combined compared to 60% and 61% and a mean exposition of 8.1 months compared to 10.3 to 11.4 months in the pivotal clinical studies (AZA-001 and CALGB 9221 respectively)). Considering that 5-AZA is often the only treatment we can offer these patients and considering its high cost, it would be of highest importance to wisely choose patients to whom we offer this treatment and to periodically re-evaluate its use (at least after the 6th cycle) to confirm the patient is benefiting from treatment. Disclosures Olney: Cellgene: Honoraria; Pfizer: Consultancy; BMS: Consultancy; Novartis: Consultancy.

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)0.002
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 score0.052
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.025
GPT teacher head0.246
Teacher spread0.221 · 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
Published2015
Admission routes2
Has abstractyes

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