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Stable Long-Term Risk of Leukemia in Patients with Severe Congenital Neutropenia Maintained On G-CSF Therapy.

2009· article· en· W2517409896 on OpenAlexaff
Philip S. Rosenberg, Cornelia Zeidler, Audrey Anna Bolyard, Blanche P. Alter, Mary Ann Bonilla, Yigal Dror, Sally E. Kinsey, Daniel C. Link, Akiko Shimamura, Peter E. Newburger, Laurence A. Boxer, Karl Welte, David C. Dale

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineNeutropeniaHazard ratioInternal medicineSepsisPediatricsFebrile neutropeniaConfidence intervalSurgeryChemotherapy

Abstract

fetched live from OpenAlex

Abstract Abstract 3206 Poster Board III-143 BACKGROUND G-CSF therapy reduces sepsis mortality in patients with severe congenital neutropenia (SCN), but effective therapy has revealed a high syndromic predisposition to myelodysplastic syndrome and acute myeloid leukemia (MDS/AML), particularly in patients who require higher doses of G-CSF. Although the long-term risk of MDS/AML after 10 or more years on therapy remains uncertain, prior data on the limited number of patients with long-term follow-up suggested the hazard rate might be as high as 8%/year after 12 years on G-CSF. METHODS We updated prospective follow-up of 374 well-characterized patients with SCN on long-term G-CSF enrolled in the Severe Chronic Neutropenia International Registry (Blood. 2006 Jun 15; 107(12):4628-35). We ascertained event-free time, deaths from sepsis, and MDS/AML events that accrued since our previous report. Follow-up was censored for patients who received a bone marrow transplant. RESULTS The update yielded 3590 person-years of follow-up versus 2043 in the prior report; among patients treated for 10 or more years, there were 849 person-years versus just 67 previously. In all, there were 61 MDS/AML events and 29 deaths from sepsis, versus prior totals of 44 and 19, respectively. After including up-to-date follow-up, the estimated annual hazard of death from sepsis remained qualitatively stable, at 0.81%/year (95% Confidence Interval, CI: 0.56 – 1.16%/year). Similarly, during the first five years after the start of G-CSF therapy, the updated estimate of the hazard curve for MDS/AML showed the same increasing trend as the previous estimate. However, in contrast to the prior estimate that showed a subsequent increasing trend over time (with a large margin of error), the updated hazard curve attained a plateau: after 10 years on G-CSF, the estimated hazard of MDS/AML was 2.3%/year (95% CI: 1.7 – 2.9%/year). Although this aspect of the natural history appears less dire than first suggested, after 15 years on G-CSF, the cumulative incidence was 10% (95% CI: 6 – 14%) for death from sepsis and 22% (95% CI: 17 – 28%) for MDS/AML. Furthermore, for the subset of patients who failed to achieve at 6 months an absolute neutrophil count at or above the median value for the cohort (2188 cells/μL) despite doses of G-CSF at or above the median (8 μg/kg/day), the cumulative incidence after 15 years on G-CSF was 18% (95% CI: 7 – 28%) for death from sepsis and 34% (95% CI: 21 – 47%) for MDS/AML. With additional follow-up, the association of G-CSF dose at 6 months with the relative hazard of MDS/AML became more strongly statistically significant (P = 0.003 versus P = 0.024; the hazard of MDS/AML increased by 1.24-fold (95% CI: 1.08-1.43-fold) per doubling of the dose of G-CSF). CONCLUSIONS For SCN patients maintained on G-CSF therapy, the hazard of MDS/AML over the long-term falls significantly below the range suggested by preliminary data. The updated hazard estimate of 2.3%/year after 10 years on G-CSF (which includes both MDS and AML events) is similar to that for other inherited bone marrow failure syndromes with a high intrinsic risk of AML, notably Fanconi anemia and dyskeratosis congenita. Nonetheless, the cumulative incidence of both MDS/AML and sepsis death rises to very high levels, and the data continue to support the hypothesis that SCN patients with higher G-CSF requirements are also at higher risk of leukemia. Disclosures Boxer: Amgen Inc.: Equity Ownership. Dale:Amgen Inc.: Consultancy, Honoraria, Research Funding, Speaker.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.003
GPT teacher head0.194
Teacher spread0.191 · 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".

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Citations7
Published2009
Admission routes1
Has abstractyes

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