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Record W4403303359 · doi:10.3390/curroncol31100451

Maintenance Therapy Post-Hematopoietic Stem Cell Transplantation in Acute Myeloid Leukemia

2024· review· en· W4403303359 on OpenAlexvenueno aff
Martina Canichella, Matteo Molica, Carla Mazzone, Paolo de Fabritiis

Bibliographic record

VenueCurrent Oncology · 2024
Typereview
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHematopoietic stem cell transplantationMyeloid leukemiaClinical trialTransplantationIntensive care medicineOncologyStem cellMaintenance therapyHaematopoiesisInternal medicineImmunologyChemotherapy

Abstract

fetched live from OpenAlex

High-risk acute myeloid leukemia has been associated with a poor outcome. Hematopoietic stem cell transplantation (HSCT) represents the only curative option for eligible patients. Relapse after HSCT is a dramatic event with poor chances of survival. With the aim of reducing the rate of post-HSCT relapse, maintenance treatment has been investigated in this setting. Results from clinical trials suggest an advantage in the use of a maintenance strategy; however, standardized guidelines are not yet available due to the lack of prospective clinical trials. In this review, we have reported the most important strategies adopted as post-HSCT maintenance, highlighting their efficacy, but the current research also opens questions.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.103
GPT teacher head0.428
Teacher spread0.324 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2024
Admission routes1
Has abstractyes

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