Abstract LB-31: Maternal supplementation with folic acid and other vitamins before and during pregnancy and risk of leukemia in the offspring: A childhood leukemia international consortium (CLIC) study.
Notice bibliographique
Résumé
Abstract Background: Acute leukemia is the most common cancer in children under 15 years of age; 80% are acute lymphoblastic leukemias (ALL) and 17% acute myeloid leukemias (AML). The early onset of the disease is suggestive of genetic predisposition and critical exposures occurring before birth. Maternal prenatal supplementation with folic acid and other vitamins, known to maintain DNA integrity and limit oxidative stress, could play a role in the prevention of childhood leukemia. However, reduced risks of childhood ALL following prenatal supplementation have been reported inconsistently. As for childhood AML, a rarer subtype, little is known regarding the effect of prenatal vitamins. Methods: We pooled original data on socio-demographic characteristics and maternal intake of folic acid, vitamins, and alcohol from 12 case-control studies (1980-2012) participating in CLIC (clic.berkeley.edu). The standardized data included the use of any vitamins, and use of folic acid, given anytime (before and/or during pregnancy) or during a specific period. The pooled analyses included 6,970 cases of ALL, 585 cases of AML, and 19,617 controls. Subgroup analyses were undertaken for vitamin type, period of use, and leukemia subtype. Logistic regression was used to estimate the odds ratios (OR) and 95 % confidence interval (CI), adjusted for age, sex, ethnicity, and other confounders including parental education, and study center. Results: Maternal intake of vitamins and folic acid anytime prenatally was associated with reduced risks of childhood ALL and AML. For ALL, the ORs for vitamin and folic acid intake during pregnancy specifically were 0.78 (95% CI: 0.71-0.85) and 0.82 (95% CI: 0.72-0.94), respectively, and 0.85 (95% CI: 0.64-1.13) and 0.52 (95% CI: 0.31-0.88), respectively, for AML. The observed reduction in ALL risk associated with prenatal vitamin intake was stronger in households where parents had no formal education or a primary education (OR=0.68, 95% CI: 0.56-0.83) and a secondary education (OR=0.75, 95% CI: 0.66-0.85), compared to those with a tertiary education (OR=0.96, 95% CI: 0.86-1.09). A similar trend across education levels was reported for maternal folic acid intake. The association between childhood ALL and maternal vitamin and folic acid intake also appeared stronger among women who did not consume alcohol. Conclusions: Our analyses based on the largest number of childhood ALL and AML cases to date suggest that maternal vitamin and folic acid intake reduces the risk of acute childhood leukemias. The risk seems modified by surrogate markers of nutritional status such as socio-economic status and alcohol consumption. Alternatively, participant selection, recall, access to prenatal care, or genetic susceptibility may vary in low vs. high income populations, therefore possibly contributing to this observation. Citation Format: Catherine Metayer, Elizabeth Milne, John D. Dockerty, Jacqueline Clavel, Maria S. Pombo-de-Oliveira, Catharina Wesseling, Logan G. Spector, Joachim Schüz, Eleni Petridou, Sameera Ezzat, Bruce K. Armstrong, Jérémie Rudant, Sergio Koifman, Peter Kaatsch, Maria Moschovi, Wafaa Rashed, Steve Selvin, Kathryn McCauley, Alice Y. Kang, Rayjean J. Hung, Patricia A. Buffler, Claire Infante-Rivard. Maternal supplementation with folic acid and other vitamins before and during pregnancy and risk of leukemia in the offspring: A childhood leukemia international consortium (CLIC) study. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr LB-31. doi:10.1158/1538-7445.AM2013-LB-31 Note: This abstract was not presented at the AACR Annual Meeting 2013 because the presenter was unable to attend.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».