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Record W4416690579 · doi:10.1038/s41408-025-01416-4

Impact of expanding allogeneic stem cell transplantation on survival in acute myeloid leukemia: a population-based study

2025· article· en· W4416690579 on OpenAlexafffund
Brittany Salter, Alejandro Garcia‐Horton, Irwin Walker, Brian Leber, Kylie Lepic, Hira Mian, Anastasia Gayowsky, Gregory R. Pond, Hsien Seow, Tobias Berg

Bibliographic record

VenueBlood Cancer Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsMcMaster University Medical CentreJuravinski Cancer CentreHamilton Health SciencesPopulation Health Research InstituteMcMaster University
FundersGovernment of OntarioLeukemia and Lymphoma Society of CanadaCancer Research SocietyJohns Hopkins Children's Center
KeywordsStem cellTransplantationHematologyHematopoietic stem cell transplantationMyeloidHaematopoiesisMEDLINE

Abstract

fetched live from OpenAlex

Acute myeloid leukemia (AML) is the most common acute leukemia in adults, with a median age at diagnosis of 69 years and a five-year overall survival (OS) of only 23%—dropping to 10% in patients aged ≥65 [ 1 ]. For patients with an estimated relapse risk over 35–40%, consolidation with allogeneic stem cell transplant (alloHCT) is standard of care [ 2 ]. Although there is no upper limit of age cutoff, historically, older adults have often been excluded from alloHCT due to concerns regarding treatment-related toxicity (TRM) and non-relapse mortality (NRM). While multiple retrospective and matched analyses support improved progression-free survival and OS with alloHCT [ 3 , 4 , 5 , 6 ], other studies have raised concerns about its benefit in older patients, citing limited OS gains and negative impacts on quality of life [ 7 , 8 , 9 ].

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.013
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.351
Teacher spread0.328 · 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.

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".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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