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Record W2547280020 · doi:10.1182/blood.v106.11.701.701

Quality of Life in Survivors of Childhood and Adolescent Acute Myelogenous Leukemia (AML) Does Not Differ by Treatment (Bone Marrow Transplant (BMT) vs. Chemotherapy). A Report from the Children’s Oncology Group (COG).

2005· article· en· W2547280020 on OpenAlexaboutno aff
H. Stacy Nicholson, Tianni Zhou, Zhengjia Chen, Kellie Moran, Charles A. Sklar, Lonnie K. Zeltzer, Joseph P. Neglia

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineQuality of life (healthcare)PediatricsChemotherapyLeukemiaRandomized controlled trialInternal medicine

Abstract

fetched live from OpenAlex

Abstract Childhood and adolescent AML requires intensive therapy. Beginning in 1979, the Childrens Cancer Group (CCG) randomized patients with newly-diagnosed AML to allogeneic bone marrow transplantation (alloBMT) based solely on the availability of an HLA-identical sibling donor. Two decades of successive CCG trials using a similar design have shown a significant survival advantage for alloBMT. To determine whether BMT was associated with a diminished quality of life (QOL) in long-term survivors compared to those who had been treated with chemotherapy alone (chemo), we conducted a cross-sectional telephone survey study of AML survivors. To be eligible, survivors must have been enrolled on a CCG AML study (beginning in 1979), have survived at least five years, and reside in the US or Canada. QOL was measured using the Medical Outcomes Study Short Form 36 (SF-36) and the Child Health Questionnaire (CHQ). 206 survivors completed the study, including 124 treated with chemo, 54 treated with alloBMT and 28 treated with autologous BMT (autoBMT). Median age at diagnosis was 3 years (range, 0–20), median age at survey was 19 years (range 8–39) and median time from diagnosis was 13.4 years. 48% were male, and 87% were white. QOL summary scores for the 82 survivors treated with BMT did not differ from those of the 124 treated with chemo (see table). Also, the adjusted summary scores did not differ by treatment after adjustment for other factors, such as age at diagnosis, race, gender, relapse, etc. None of the physical or mental SF-36 or CHQ subscale domains significantly differed by treatment, although physical subscale domains trended to be better in the chemo group. Multivariate analyses found that females had significantly lower physical and mental scores, that relapse significantly diminished the physical summary score, and that age at diagnosis was positively and significantly associated with higher mental summary score. Our data suggest that survivors of childhood and adolescent AML have similar overall QOL scores, regardless of whether they were treated with BMT or chemo. In addition, the QOL scores in most physical and mental health domains were high, suggesting that AML survivors as a group enjoyed good QOL. These data suggest that QOL in long-term survivors is not diminished by BMT and that the primary concern in assigning treatment remains survival. QOL Summary Scores Treatment Physical Score Mental Score Mean 95% CI p-value Mean 95% CI p-value All 49.3 (48.0,50,7) 49.9 (48.4,51.3) BMT (n=82) 49.0 (46.8,51.1) 0.68 51.3 (49.0,53.6) 0.11 Chemo (n=124) 49.6 (47.8,51.3) 48.9 (47.0,50.8)

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)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0010.000

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 head0.015
GPT teacher head0.271
Teacher spread0.256 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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