MétaCan
Menu
Back to cohort
Record W2554848301 · doi:10.1182/blood.v114.22.652.652

Obesity Adversely Affects Survival of Pediatric Patients with Severe Aplastic Anemia After Hematopoietic Cell Transplantation.

2009· article· en· W2554848301 on OpenAlexaff
Collin Barker, Manza- A Agovi, Brent R. Logan, Vikas Gupta, Hillard M. Lazarus, Karen K. Ballen, Gregory A. Hale, Haydar Frangoul, J. Douglas Rizzo, Marcelo C. Pasquini

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsPrincess Margaret Cancer CentreBC Children's Hospital
Fundersnot available
KeywordsMedicineOverweightUnderweightBody mass indexAplastic anemiaTransplantationObesityPopulationPercentileInternal medicineAnemiaHematopoietic stem cell transplantationProportional hazards modelPediatricsEnvironmental healthBone marrow

Abstract

fetched live from OpenAlex

Abstract Abstract 652 Prevalence of obesity in children has been rapidly rising in the last decade in the US and other industrialized countries (US prevalence, ages 2-19, 16%, NHANES, 2008) and it represents a serious health concern. The impact of recipient's weight on mortality after hematopoietic cell transplantation (HCT) for non-malignant diseases is not well characterized. We studied the effect of body mass (BMI) on transplant outcomes in 1,281 patients aged 2-19 years who underwent HCT for severe aplastic anemia from 1990-2005. The study population was divided in five groups based on age-adjusted BMI percentiles. Patients in the <5th, 5-25th, 26-75th, 76-95th and >95th percentile BMI were classified as underweight, at risk for underweight, normal weight, at risk for overweight, and overweight respectively. Cox proportional hazards regression models for survival and acute graft-versus-host disease grade III-IV (aGVHD) were performed using BMI groups as the main effect and the normal weight (26-75th percentile) as the baseline comparison. Two-year overall survival was lower for overweight children (p<0.001, table). The risk of death, adjusted for significant covariates was higher for overweight compared to normal weight children (p=0.001, table). BMI groups were not associated with excess risk for aGVHD. Other significant factors associated with mortality include race and region of US, donor type, performance score at HCT, recipient age, and year of transplant. Risk of death was higher in African American patients (1.84, p=0.009) compared to Caucasians in the US, donors other than HLA-matched sibling and patients who received HCT before 2002. Among recipients of HLA-matched sibling grafts, use of busulfan-containing regimens (3.13, p<0.001) or cyclophosphamide without antithymocyte globulin (ATG) (1.92, p=0.03) had a higher risk of death compared to recipients of cyclophosphamide and ATG. Conditioning regimens in recipients of unrelated donor HCT were not associated with mortality. Among the reported causes of death, organ failure and infections occurred more frequently in overweight patients compared to the other BMI groups. In conclusion, overweight children with severe aplastic anemia have a higher risk of death after HCT independent of other factors analyzed in the study.BMI percentileN100 day mortality Probability (95% CI)2-y OS Probability (95% CI)RR of death (95% CI)p26-75th152515 (10-20)76 (70-82)1.00-<5th10812 ( 7-19)77 (68-84)1.01 (0.65-1.57)0.975-25th19611 ( 9-14)77 (74-81)1.38 (0.99-1.91)0.0676-95th30417 (13-21)73 (68-78)1.22 (0.93-1.61)0.14>95th14229 (22-36)59 (51-67)1.71 (1.24-2.35)0.0011Baseline group Disclosures: No relevant conflicts of interest to declare.

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: Observational
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)0.0010.000

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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicHematopoietic Stem Cell TransplantationFrench-language works237,207