MétaCan
Menu
Back to cohort

P362: OUTCOMES IN PATIENTS WITH RELAPSED OR REFRACTORY ACUTE LYMPHOBLASTIC LEUKEMIA RECEIVING HEMATOPOIETIC CELL TRANSPLANTATION USING REAL-WORLD DATA FROM HARMONY

2023· article· en· W4385667722 on OpenAlexaff
Alexander Russell-Smith, Riley Taiji, Paule Tétreault-Langlois, Samy Gallienne, Raluca Ionescu‐Ittu, Francis Vekeman, Anthony V. Moorman, Michael Doubek, Saara Tikka, Amin T. Turki

Bibliographic record

VenueHemaSphere · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsMedicineHematopoietic stem cell transplantationHematopoietic cellTransplantationInternal medicineLymphoblastic LeukemiaPediatricsLeukemiaStem cellHaematopoiesis

Abstract

fetched live from OpenAlex

Background: Hematopoietic cell transplantation (HSCT) is a standard consolidation treatment for patients (pts) with relapsed or refractory (R/R) acute lymphoblastic leukemia (ALL). However, predicting post-HSCT survival and related outcomes remains a challenge because of limited samples, outdated published evidence, and studies focussed on de novo ALL. HARMONY Alliance is a large multi-national public-private partnership aiming to gather data on hematologic cancers currently maintained in several individual databases from clinical trials and registries across Europe. The HARMONY data platform contains anonymized data of ~10,000 pts with ALL. Aims: To estimate post-HSCT outcomes, including overall survival (OS), and to identify clinical factors correlated with post-HSCT outcomes using real-world data from HARMONY. Methods: A dataframe was constructed within HARMONY to include pts with R/R ALL who had received HSCT. OS was assessed post-HSCT using Kaplan-Meier time-to-event analyses. Results: A total of 235 adult pts diagnosed with R/R ALL between 1995 and 2019 who received ≥1 allogeneic or unspecified HSCT were included in the analysis. Most pts were male (63.8 %; n=150), Philadelphia-chromosome negative (64.7%; n=152), and had B-cell ALL (71.1 %; n=167); median age at ALL diagnosis was 25.0 years (range, 7.7‒71.0) and at HSCT was 26.8 years (range, 18.5‒71.6). Within 3 years of HSCT, acute graft-versus-host disease (GvHD) was recorded and graded in 11.1 % (n=26) of pts and chronic GvHD was recorded in 4.3% (n=10) of pts. At a median follow-up of 65.7 months (range, 0.3‒169.4), median OS (95% CI) from HSCT was 9.4 months (7.5‒13.8; Fig 1A), with a 1-year OS rate of 45.3 %, and a plateau starting from year 4. Subgroup analyses indicate variation in OS by minimal residual disease (MRD) status before HSCT, age group at HSCT, and time period of HSCT. In the limited number of records where MRD-status before HSCT was available, OS appeared longer in pts with MRD-negativity (n=17) vs MRD-positivity (n=25) at the most recent MRD assessment before HSCT (1-year OS=70.1% vs 50.1%; p=0.324, not significant]; Fig 1B). OS after 1 year was higher in pts <55 years (n=215, 47.3%) vs ≥55 years (n=20, 24.0%) p=0.025; Fig 1C). One-year OS was significantly higher in pts originally diagnosed with ALL in childhood (<18 years) with relapse and consolidating HSCT as adults (n=40, 66.5%) vs pts diagnosed as adults (≥18 years; n=195, 41.0%; p=0.005). Finally, OS following HSCT improved significantly over the historical HSCT periods of 1995‒1999 (n=36), 2000‒2009 (n=101), and 2010‒2019 (n=98); 1-year OS=25.0%, 45.5%, and 52.6%, respectively; p=0.002; Fig 1D). Median relapse-free survival (RFS; 95% CI) from HSCT was 7.6 months (6.1‒9.4), with a 1-year RFS rate of 38.8 %. Summary/Conclusion: This is one of the largest real-world studies focused on adult pts with R/R ALL. While the 1-year OS rate increased to 50% in recent time-periods, post-HSCT outcomes remain unsatisfactory. Recent transplant practices have improved survival. Factors such as younger age at diagnosis and transplant, and quality of pre-HSCT response (eg, reaching MRD-negativity) appear to positively influence post-HSCT survival.Keywords: ALL, Acute lymphoblastic leukemia, relapsed/refractory, Allogeneic stem cell transplant

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.313
Teacher spread0.269 · 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.

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueHemaSphereSame topicAcute Lymphoblastic Leukemia researchFrench-language works237,207