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Record W2027093999 · doi:10.1080/1042819021000016087

Allogeneic Bone Marrow Transplantation in the Management of Chronic Neutrophilic Leukemia

2002· article· en· W2027093999 on OpenAlexaff
Eugenia Piliotis, G Kutas, Jeffrey H. Lipton

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2002
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsSunnybrook Health Science CentrePrincess Margaret Cancer CentreUniversity of TorontoHealth Sciences CentreUniversity Health Network
Fundersnot available
KeywordsMedicineLeukocytosisLeukemiaMyeloproliferative DisordersDiseaseChronic myelogenous leukemiaBone marrowStage (stratigraphy)TransplantationImmunologyInternal medicineOncologyPathologyBiology

Abstract

fetched live from OpenAlex

Chronic neutrophilic leukemia (CNL) is a rare myeloproliferative disorder characterized by a clonal proliferation of mainly mature neutrophils, which is often difficult to differentiate from reactive leukocytosis or other myeloproliferative disorders. Treatment to date has focused on disease control rather than cure. Once the disease has progressed to a more aggressive leukemia there is typically little chance of obtaining a long lasting remission due to the older age of most patients as well as the acquisition of multiple poor prognostic cytogenetic abnormalities. In this case report we describe a successful sibling allogeneic bone marrow transplant in a 60-year-old man with CNL performed while he was still in the stable phase of his disease. We propose that even in older patients this curative approach may be considered in selected patients at an early stage of their disease, similar to the approach taken with chronic myelogenous leukemia.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.016
GPT teacher head0.248
Teacher spread0.233 · 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".

Quick stats

Citations27
Published2002
Admission routes1
Has abstractyes

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