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Enregistrement W2531715689 · doi:10.1182/blood.v118.21.3588.3588

Association Between Obesity/Overweight and Leukemia: A Meta-Analysis of Prospective Cohort Studies,

2011· article· en· W2531715689 sur OpenAlexaboutno aff
John L. Reagan, Randall R Ingham, Samir Dalia, Michael Furman, Basma Merhi, Saed Nemr, Ali John Zarrabi, Joanna Mitri, Jorge J. Castillo

Notice bibliographique

RevueBlood · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueCancer Risks and Factors
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineOverweightLeukemiaInternal medicineBody mass indexChronic lymphocytic leukemiaObesityMyeloid leukemiaOncology

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 3588 Introduction: Leukemia is a common hematologic malignancy for which the etiology remains largely unclear. The epidemiological data regarding the link between overweight and obesity, as defined by body mass index (BMI), and the risk of developing leukemia has revealed conflicting results. The main objective of this meta-analysis is to evaluate the potential relationship that overweight and obesity may have in the development of leukemia in adults. A secondary objective was to evaluate the risk of separate leukemia subtypes such as acute myeloid leukemia (AML), acute lymphoblastic leukemia (ALL), chronic myeloid leukemia (CML) and chronic lymphocytic leukemia (CLL). Methods: A MEDLINE search from January 1950 to December 2010 was undertaken using: (obesity OR “body mass index” OR BMI OR overweight) AND (leukemia OR lymphoma OR myeloma). Only prospective cohort studies reporting on the incidence of leukemia were included. Retrospective case-control and cross-sectional studies were excluded. Meta-analyses were performed for leukemia in general and leukemia subtypes. The outcome was calculated as relative risk (RR). Overweight was defined as BMI 25–29.9 kg/m2 and obesity as BMI ≥30 kg/m2, according to the WHO criteria. The quality of the studies was determined by the Newcastle-Ottawa scale (NOS). The random effects model (REM) was used to calculate the combined outcome. Heterogeneity was assessed by the I2 statistic. Publication bias was assessed by the trim-and-fill analysis. Meta-regression analyses were performed to evaluate the association between BMI, as a continuous variable, and the incidence of leukemia in general as well as BMI and leukemia subtypes. Literature search, data gathering and quality assessment were performed independently by at least 2 of the investigators. All graphs and calculations were obtained using Comprehensive Meta-Analysis version 2 (Biostat, Englewood, NJ). Results: From 758 returns, 19 prospective cohort studies evaluating the association between incidence of leukemia and BMI were identified. All the studies were of high quality (NOS >7 points). When pooling all studies, the RR was 1.14 (95% CI 1.07–1.22; p<0.001). Overweight patients had a RR of 1.11 (95% CI 1.06–1.17; p<0.001), and obese patients had a RR of 1.19 (95% CI 1.09–1.31; p<0.001). Meta-regression showed linear association between BMI and leukemia (p<0.001). For AML, the overall RR was 1.24 (95% 1.10–1.41; p=0.001). Overweight patients had RR of 1.08 (95% CI 0.97–1.20; p=0.18). Obese patients had RR of 1.38 (95% CI 1.15–1.67; p=0.001; Figure). Meta-regression showed a statistically significant linear association between BMI and incidence of AML (p<0.001). For ALL, the overall RR was 1.48 (95% CI 1.20–1.80; p<0.001). Overweight patients had RR of 1.36 (95% CI 1.06–1.76; p=0.02). Obese patients had RR of 1.62 (95% CI 1.13–2.32; p=0.009). Meta-regression showed no association between BMI and incidence of ALL (p=0.25). For CML, the RR was 1.20 (95% CI 1.02–1.41; p=0.03). Overweight and obese patients had RR of 1.05 (95% CI 0.74–1.49; p=0.79) and 1.27 (95% CI 1.10–1.46; p=0.001), respectively. Meta-regression showed no association between BMI and CML (p=0.15). For CLL, the overall RR was 1.13 (95% CI 1.07–1.19; p<0.001). Overweight and obese patients had RR of 1.09 (95% CI 1.03–1.16; p=0.003) and 1.17 (95% CI 1.09–1.25; p<0.001). Meta-regression showed a trend towards a linear association between BMI and incidence of CLL (p=0.06). Conclusions: Obesity, but not overweight, is associated with a mild-to-moderate increased risk of leukemia in general (19%) and for all leukemia subtypes (AML 38%, ALL 62%, CML 27% and CLL 17%). Additionally, meta-regression analyses showed a statistically significant linear association between increasing BMI and general incidence of leukemia in addition to incidence of AML. Disclosures: No relevant conflicts of interest to declare.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,096
Score d'incertitude au seuil0,280

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,074
Tête enseignante GPT0,303
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2011
Routes d'admission1
Résumé présentoui

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