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Enregistrement W2329303823 · doi:10.1158/1940-6207.prev-12-b97

Abstract B97: Vitamin D and mammographic density in postmenopausal women: A cohort study nested within the NCIC CTG MAP.3 chemoprevention trial

2012· article· en· W2329303823 sur OpenAlexaffabout
Melanie Walker, Harriet Richardson, Paul E. Goss, Doris Jabs, Glenville Jones, Martin Kaufmann, Jean Wactawski‐Wende, Angela M. Cheung, Eric Winquist, Silvana Spadafora, Susan Ellard, Amanda Hey, Andrew Cooke, Andrea Eisen, Shailendra Verma, L. Lickley, Dongsheng Tu, Karen Gelmon, Ralph M. Meyer, Will D. King

Notice bibliographique

RevueCancer Prevention Research · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueVitamin D Research Studies
Établissements canadiensCancer Care Ontario
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineVitamin D and neurologyBreast cancerExemestaneConfoundingCohortRandomized controlled trialCohort studyBiomarkerOncologyGynecologyCancerTamoxifen

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Vitamin D may be important in the causal pathway to breast cancer (BC) by influencing breast density, a potential intermediate biomarker for carcinogenesis. However, previous study results are inconsistent, particularly among postmenopausal women. Our objectives were to prospectively examine the relationship between blood biomarkers of vitamin D (serum 25-OH-D) and mammographic breast density (MD) in postmenopausal women at northern latitudes. Potential effect modifications by calcium or exemestane therapy on the relationship between serum 25-OH-D and follow-up MD were also examined. Methods: The NCIC Clinical Trials Group conducted a randomized controlled trial (RCT) comparing exemestane (E) with placebo (P) in 4560 postmenopausal women at high risk for developing BC (MAP.3) (Goss, NEJM 2011). Using a nested observational design, we evaluated a cohort of participants from across Canada and Buffalo, NY. BC risk factor information was previously collected; primary exposure and outcome data were obtained from serum samples and mammograms. Serum 25-OH-D was measured using state-of-the-art LC-MS/MS from samples collected at baseline and year 1. Values for year 1 samples were adjusted to match the month of sampling for the baseline sample month and these samples were averaged. Baseline and ≥ 3 year follow-up percent MD were centrally assessed, blinded to treatment allocation and vitamin D levels, using Cumulus software. Linear regression was used to estimate the effect of serum 25-OH-D on log transformed percent MD at ≥ 3 year follow-up controlling for month of sampling and potential confounders of age, body mass index, first degree family history of BC and calcium. Results: Percent MD was measured for 568 participants (E=287, P=281) with a ≥ 3 year follow-up mammogram obtained from 21 (91%) Canadian sites participating in MAP.3 and one US site in Buffalo, NY. The mean age of these women at study entry was 62 years and they were followed for a mean of 3.7 years. The geometric mean percent MD of the follow-up mammograms was 4.3%. A random sample of 10% (N=102) of mammograms was repeated with high intra-rater reliability (correlation coefficient = 0.95). Unadjusted for month of blood collection, the mean serum 25-OH-D concentration was 36.5 ng/mL (SD=10.6) based on pooled baseline and year one serum samples. After controlling for month of sampling and potential confounders, serum 25-OH-D was not predictive of log transformed percent MD (p=0.25). Statistically significant interactions with calcium (above vs. below the median calcium value p=0.30) or exemestane (p=0.99) on the serum 25-OH-D and MD relationship were not detected. Preliminary results suggest some evidence that low vitamin D (<25 ng/mL) is associated with increased breast density in the presence of low calcium. Final results will be reported at the time of the AACR meeting. Conclusion: In this nested observational study, no association between serum 25-OH-D levels and percent MD at ≥ 3 year follow-up was detected after controlling for month of sampling and many well established BC risk factors. This study was funded by the Canadian Breast Cancer Foundation. The MAP.3 trial was supported by Pfizer. The NCIC CTG is supported by the Canadian Cancer Society Research Institute. Citation Format: Melanie Walker, Harriet Richardson, Paul Goss, Doris Jabs, Glenville Jones, Martin Kaufmann, Jean Wactawski-Wende, Angela Cheung, Eric Winquist, Silvana Spadafora, Susan Ellard, Amanda Hey, Andrew Cooke, Andrea Eisen, Shailendra Verma, Lavina Lickley, Dongsheng Tu, Karen Gelmon, Ralph Meyer, Will King. Vitamin D and mammographic density in postmenopausal women: A cohort study nested within the NCIC CTG MAP.3 chemoprevention trial. [abstract]. In: Proceedings of the Eleventh Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2012 Oct 16-19; Anaheim, CA. Philadelphia (PA): AACR; Cancer Prev Res 2012;5(11 Suppl):Abstract nr B97.

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)0,014
score de la tête « metaresearch » (Gemma)0,001
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 enseignants0,013
Score d'incertitude au seuil0,706

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0140,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,067
Tête enseignante GPT0,423
Écart entre enseignants0,357 · 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

Citations0
Publié2012
Routes d'admission2
Résumé présentoui

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