Overweight or Obesity and Outcomes in Children With Acute Lymphoblastic Leukemia
Notice bibliographique
Résumé
Importance: There are conflicting data on the association of overweight or obesity with clinical outcomes in childhood acute lymphoblastic leukemia (ALL). The duration of exposure to overweight or obesity may be a better indicator of the risk of poorer outcomes. Objective: To determine the association of the duration of overweight or obesity with treatment-related toxic effects, minimal residual disease, relapse, and survival in childhood ALL. Design, Setting, and Participants: In this prospective cohort study, fluctuations in z scores of body mass index (BMI) for age from diagnosis to the end of treatment (EOT) were examined in 794 children registered on a Dana Farber Cancer Institute ALL Consortium protocol from May 31, 2005, to December 15, 2011. Height and weight were abstracted from the medical record for classification of BMI z scores at diagnosis through EOT and into survivorship. Data were analyzed from July 1 to 31, 2024. Main Outcomes and Measures: The duration of overweight or obesity was defined as having overweight or obesity at 2 or more time points and compared with having overweight or obesity at no more than 1 time point. Kaplan-Meier survival curves were generated to examine association of overweight or obesity with overall survival (OS), event-free survival (EFS), and cumulative incidence of relapse. Results: Among the 794 patients included in the analysis, the mean age at diagnosis was 6.7 (range, 1.0-17.9) years, with 441 (55.5%) being male, 136 (17.1%) Hispanic, and 553 (69.6%) non-Hispanic. The prevalence of overweight or obesity increased from 234 of 793 (29.5%) at diagnosis to 346 of 715 (48.4%) by EOT. Having overweight or obesity at baseline or developing overweight or obesity during induction was not associated with treatment-related toxic effects or higher minimal residual disease. Children with overweight or obesity at 2 or more time points experienced inferior OS (3-year OS, 93.8% vs 98.0%; P = .01), increased relapse (3-year relapse rate, 10.5% vs 5.8%; P = .02), and lower EFS (3-year EFS, 89.0% vs 93.7%; P = .02), compared with children with overweight or obesity at no more than 1 time point. Multivariable Cox proportional hazards regression models revealed an association between increased risk of death (hazard ratio [HR], 3.49; 95% CI, 1.28-9.51; P = .01) and relapse (HR, 1.92; 95% CI, 1.07-3.46; P = .03) among children with overweight or obesity at 2 or more time points. Conclusions and Relevance: In this prospective cohort study of children with ALL, longer duration of overweight or obesity was associated with lower OS and EFS and higher rates of relapse, underscoring the need for interventions targeting overweight or obesity during treatment of children with ALL.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».