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Management of Hyperleukocytosis in Acute Myelogenous Leukemia Using Hydroxyurea Rather Than Leukopheresis.

2006· article· en· W2530865543 on OpenAlexaffabout
Kevin H.M. Kuo, Jeannie Callum, Joseph Brandwein, Michael Crump, John E. Curtis, Vikas Gupta, Jeffrey H. Lipton, Dominic Pantalony, Aaron D. Schimmer, Andre C. Schuh, Graham D. Sher, David Sutton, Karen Yee, Armand Keating, Mark D. Minden, Hans A. Messner

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsLondon Health Sciences CentreWestern UniversitySunnybrook Health Science CentrePrincess Margaret Cancer CentreUniversity Health NetworkUniversity of TorontoHealth Sciences Centre
Fundersnot available
KeywordsLeukostasisLeukapheresisMedicineCohortInternal medicineSurgeryRetrospective cohort studyLeukemiaGastroenterologyPediatrics

Abstract

fetched live from OpenAlex

Abstract Patients with AML presenting with hyperleukocytosis (WBC >100x109/L) experience higher early mortality due to leukostasis. A retrospective comparison of 2 cohorts of patients managed in 2 different institutions either by leukapheresis (Princess Margaret Hospital n=42) or hydroxyurea (HU) (Toronto General Hospital n=47) demonstrated equivalent survival on days 8 (p=1.0000) and 28 (p=0.4784) after presentation. Based on this observation a policy was established to manage patients with HU rather than leukapheresis. The current study was designed to validate this policy. 1146 consecutive AML patients presented between 1998 and 2006 to the Princess Margaret Hospital at diagnosis. 105 of these patients had a WBC >100x109/L. According to the policy 85 were treated with a median cumulative dose of 18 gm HU within the first 4 days, 5 died before initiating treatment with HU and 15 underwent induction therapy without initial cytoreduction using HU. 35/105 patients (33%) died within the first 28 days. Patients presenting with symptoms of leukostasis, particularly with pulmonary involvement, were more likely to die within the first 28 days compared to patients without symptoms (p=0.0492). The death rate of 33% at 28 days was similar to those observed in the previous study (31% for the cohort undergoing leukapheresis and 23% for the cohort being treated with HU, p=0.5048). This rate was significantly higher when compared to 54/1041 (5%) patients dying before day 28 that presented with <100x109/L (p< 0.0001). Patients of both groups that survived more than 28 days (n=70 and n=987 respectively) demonstrated a similar overall survival. The 5 year overall survival amounted to 27% and 33% respectively (p=0.2023) and was influenced by the cytogenetic risk of patients at diagnosis (54 and 67% for patients with favourable, 28 and 30% with intermediate and 0 and 15% with unfavourable risk). In conclusion, hyperleukocytosis continues to be an adverse prognostic indicator affecting early mortality of patients with AML. Particularly patients that present with symptoms secondary to leukostasis are at risk for early death. The overall survival of patients surviving the first 28 days after presentation is not different. A treatment policy to use HU rather than leukapheresis in the immediate management of these patients confirmed a previous observation of equivalency. Kaplan Meier plots of Overall Survival in AML Patients with and without Hyberleukocytosis (P< 0.001) (1998 to 2006 cohort) Kaplan Meier plots of Overall Survival in AML Patients with and without Hyberleukocytosis (P< 0.001) (1998 to 2006 cohort) Kaplan Meier plots of Overall Survival in AML Patients with and without Hyberleukocytosis Surviving 28 Days after Presentation (p = 0.2023) (1998 to 2006 cohort) Kaplan Meier plots of Overall Survival in AML Patients with and without Hyberleukocytosis Surviving 28 Days after Presentation (p = 0.2023) (1998 to 2006 cohort)

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 integrity0.0000.000
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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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 designNon-randomized trial
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

Citations10
Published2006
Admission routes2
Has abstractyes

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