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Record W4417361914 · doi:10.1111/ejh.70081

Eltrombopag in Treating Post‐Allogeneic Hematopoietic Stem Cell Transplantation Cytopenias: Efficacy, Response Durability, and Cost Benefit of Early Drug Tapering

2025· article· en· W4417361914 on OpenAlexaff
Rawan Al-Omari, Ram Vasudevan Nampoothiri, Ali Sakhdari, Eshetu G. Atenafu, Caden Chiarello, Dennis Dong Hwan Kim, Arjun Law, Ivan Pašić, Igor Novitzky‐Basso, Auro Viswabandya, Fotios V. Michelis, Jonas Mattsson, Rajat Kumar

Bibliographic record

VenueEuropean Journal Of Haematology · 2025
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsOttawa HospitalPrincess Margaret Cancer Centre
Fundersnot available
KeywordsEltrombopagTaperingCladribineContext (archaeology)Hematopoietic stem cell transplantationCytopeniaTransplantation

Abstract

fetched live from OpenAlex

The utilization of eltrombopag (EPAG) in the management of post allogenic hematopoietic cell transplant (HCT) cytopenia has exhibited promising outcomes. Isolated thrombocytopenia and poor graft function (PGF) are factors that adversely influence transplant outcomes and patient well-being. This retrospective study aims to assess EPAG efficacy in this context as a primary outcome and evaluate early EPAG tapering post complete response (CR) for cost efficiency and response durability as a secondary outcome. We analyzed 39 patients who underwent allogeneic HCT; EPAG was administered to 89.7% of patients for PGF and 10.3% for isolated thrombocytopenia. The overall response rate (ORR) after 4 weeks of EPAG treatment was 71.8%, with 48.7% achieving a complete response (CR). Early tapering of EPAG post-CR was explored for cost benefit among responders. Early tapering was defined as the start of tapering after 4 weeks of achieving CR and was found to be associated with significant response durability with a trend towards cost effectiveness. Eltrombopag response was independent of megakaryocyte number or density prior to drug initiation. The study suggests EPAG as a safe treatment for PGF and isolated thrombocytopenia post-allogeneic HCT and proposes early drug tapering as a potentially cost-beneficial approach.

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 score0.292
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.256
Teacher spread0.246 · 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 routes1
Has abstractyes

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