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Safety outcomes in adult patients with AML who achieved their first complete remission with GO prior to HSCT.

2024· article· en· W4399487111 on OpenAlexaff
Nelli Bejanyan, Vincent T. Ho, Miguel‐Angel Perales, Partow Kebriaei, Manmeet Kaur, Mei‐Jie Zhang, Paul G. D'Amico, Simon Purcell, Stephanie Dorman, Erik Vandendries, Kofi Asomaning, Wael Saber

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPfizer (Canada)
FundersPfizer
KeywordsMedicineComplete remissionInternal medicineOncologySurgeryPediatricsChemotherapy

Abstract

fetched live from OpenAlex

e18504 Background: Gemtuzumab ozogamicin (GO) is approved in the US for the treatment of newly diagnosed and relapsed/refractory (R/R) CD33-positive acute myeloid leukemia (AML) in adults and pediatric patients of 1 month and older and 2 years and older, respectively. Allogeneic hematopoietic stem cell transplantation (HSCT) is the only curative therapy for most adult patients with AML in first complete remission (CR1). Clinical studies have linked GO with hepatotoxicity and hepatic veno-occlusive disease (VOD); the risk of these events may be further elevated in patients receiving HSCT. This study aimed to characterize the toxicity after HSCT in adult patients with AML who were treated with GO prior to HSCT. These analyses look at outcomes in patients who were in CR1 at the time of HSCT. Methods: This non-interventional post-authorization safety study used de-identified healthcare data from the Center for International Blood and Marrow Transplant Research (CIBMTR) database. Data were collected from adult patients in the US with newly diagnosed AML treated with GO prior to proceeding with HSCT. Data collection began on 01 September 2017, data cutoff was 04 July 2023. Results: We present data of 84 patients receiving HSCT for AML in CR1 from 19 centers with a median follow-up of 23.9 months (range, 3.0-49.7). Median age was 54.2 y (range, 18.7-74.5); 55% male. Total cumulative GO dose was 1-3 mg/m2 in 15 (18%), 4-6 mg/m2 in 15 (18%), 7-9 mg/m2 in 28 (33%) and ≥10 mg/m2 in 8 (12%) patients. Measurable residual disease (MRD) was undetectable in 50% (n=42) of patients after GO and 51% (n=43) of patients at the time of HSCT. Most patients (58%; n=49) received myeloablative conditioning and 57% (n=48) received HLA matched unrelated donor HSCT. Non-fatal VOD was reported in 6 (7%) patients, most cases were mild (n=5; 83%). Cumulative incidences of transplant-related mortality (TRM) were: 6 months, 7% (95% CI, 3-14); 2 years, 15% (95% CI, 7-25). The 2-year relapse rate was 26% (95% CI, 16-36%). Kaplan-Meier probabilities of leukemia-free survival (LFS) outcomes at 1 and 2 years were, 68% (95% CI, 57-78) and 59% (95% CI, 47-71), respectively. There were 22 deaths during the study, 10 (46%) from relapse of AML, no VOD-related deaths were observed. Conclusions: The use of GO prior to allogeneic HSCT appears to be safe with low rates of posttransplant VOD observed in patients with AML in CR1. TRM and survival outcomes are similar to historically reported rates. Clinical trial information: B1767034.

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.066
GPT teacher head0.424
Teacher spread0.358 · 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
Published2024
Admission routes1
Has abstractyes

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