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Record W4389219486 · doi:10.1182/blood-2023-184995

Allogeneic Hematopoietic Cell Transplantation in the Elderly Results in Similar Survival with Matched Related or Unrelated and Haploidentical Donors: A Report from the Société Francophone De Greffe De Moelle Et De Thérapie Cellulaire (SFGM-TC)

2023· article· en· W4389219486 on OpenAlexafffund
Imran Ahmad, Samia Harbi, Raynier Devillier, Cristina Castilla‐Llorente, Marie Robin, Micha Srour, Jacques‐Olivier Bay, Patrice Céballos, Stéphanie Nguyen‐Quoc, Édouard Forcade, Claude‐Eric Bulabois, A Charbonnier, Pascal Turlure, Sylvain Chantepie, Sébastien Maury, Michaël Loschi, Hélène Labussière‐Wallet, Tony Marchand, Marianne Schwarz, Ambroise Marçais, Ana Berceanu, Étienne Daguindau, Patrice Chevallier, Anne Huynh, Mohamad Mohty, Rémy Duléry, Johan Maertens, Xavier Poiré, Natacha Maillard, Marie‐Thérèse Rubio, Gaëlle Guillerm, Yves Chalandon, Anne‐Lise Ménard, Jérôme Cornillon

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsHôpital Maisonneuve-Rosemont
FundersMedacSwedish Orphan BiovitrumIncytePhilippe FoundationJazz PharmaceuticalsAstellas PharmaAlexion PharmaceuticalsCelgeneMallinckrodt PharmaceuticalsKite PharmaGilead SciencesServierAmgen
KeywordsMedicineUnivariate analysisInternal medicineHematopoietic cellCumulative incidenceTransplantationGraft-versus-host diseaseCyclophosphamideIncidence (geometry)GastroenterologyHematopoietic stem cell transplantationMultivariate analysisSurgeryOncologyImmunologyHaematopoiesisChemotherapyStem cellBiology

Abstract

fetched live from OpenAlex

Introduction Higher patient age is no longer considered to be a barrier for allogeneic hematopoietic cell transplantation (HCT). We sought to study the impact of different types of donors on the outcomes of HCT in subjects aged 65 years (y) or more, and to evaluate the determinants of these outcomes. Methods SFGM-TC registry data on first HCTs performed between January 2013 and July 2021 in patients aged 65 y or more, with myeloablative or reduced-intensity conditioning, and a 10/10 human leukocyte antigen (HLA) matched sibling donor (MSD), matched unrelated donor (MUD) or haploidentical donor (HAP) were analyzed. Main exclusion criteria were: MSD/MUD-HCT performed without anti-T lymphocyte globulin (ATG), and HAP-HCT performed without post-transplant cyclophosphamide (PTCY). Univariate analyses according to donor type, as well as multivariable analyses were performed. Results A total of 1176 patients met the eligibility criteria (215 MSD, 721 MUD, 240 HAP). Median follow-up was 2.8 y. In univariate analysis, there was no difference between donor types in terms of 3-y overall survival (OS: MSD 50%, MUD 49%, HAP 49%, p=0.52), progression-free survival (PFS: MSD 41%, MUD 45%, HAP 44%, p=0.51) and graft-versus-host disease-free, relapse-free survival (GRFS: MSD 34%, MUD 32%, HAP 35%, p=0.67). With MSD, the cumulative incidence of progression at 3 y was significantly higher at 47% (MUD 29%, HAP 29%, p<0.001), and non-relapse mortality (NRM) significantly lower at 12% (MUD 26%, HAP 27%, p<0.001). These MSD results were confirmed in multivariable analysis. Incidence of acute graft-versus-host disease (GVHD) at 180 days was lower with MSD: grades II-IV 21% (MUD 35%, HAP 38%, p<0.001) and grade III-IV 8% (MUD 13%, HAP 15%, p=0.05). Incidence of chronic GVHD at 2 y was comparable between MSD, MUD and HAP transplants: moderate to severe 14%, 18% and 15%, respectively, and severe 5%, 6% and 5%, respectively. Conclusions In patients aged 65 y or more, MSD/MUD HCT performed with ATG and HAP HCT performed with PTCY yielded similar survival outcomes. MSD HCT is associated with a lower acute GVHD and NRM but a higher relapse risk. Reducing the toxicity of MUD and HAP HCT may yield better results than with MSD HCT in this population. Acknowledgements: Nicole Raus, Data manager coordinator, SFGM-TC. Viviane Fossat, Secretary, SFGM-TC.

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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.269
Teacher spread0.253 · 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
Published2023
Admission routes2
Has abstractyes

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