Abstract 1914: Consumption of Lake Ontario sport fish and prostate cancer incidence in the New York State Angler Cohort Study (NYSACS)
Notice bibliographique
Résumé
Abstract Fish from the Great Lakes are an important source of exposure to persistent organic pollutants, including polychlorinated biphenyls (PCBs) and organochlorine pesticides (e.g., Mirex and DDT). Some of these pollutants are hypothesized to be hormonally active and therefore may increase the risk of prostate cancer. Conversely, fish are also a source of micro- and macro-nutrients hypothesized to have chemopreventive properties. We investigated the consumption of sport-caught fish from Lake Ontario and the incidence of prostate cancer in the NYSACS, a prospective cohort of 17,110 anglers and their spouses aged 18 to 40 years old at enrollment. Participants completed a mailed self-administered questionnaire upon enrollment in 1991. Demographic factors, smoking history and selected potential confounders were ascertained. The questionnaire also queried for the number of years that fish from Lakes Ontario and Erie were consumed as well as the preparation and cooking practices for sport caught fish. As of December 31, 2008 fifty-eight first primary incident prostate cancers were identified via the New York State Cancer Registry. Vital status was determined by linkage with the Social Security Administration Death file. Of the 10,436 males enrolled at baseline, 10% (n=1,075) were lost to follow-up. Fish consumption was dichotomized into never vs. ever. Duration of consumption was categorized into tertiles based on the distribution among the cases who reported eating L Ontario sport caught fish. Poisson regression was used to calculate rate ratios (RR) and 95% confidence intervals, adjusting for age, education and pack-years of smoking. Ever eating Lake Ontario fish was inversely associated with prostate cancer incidence (RRadjusted=0.5 (95% CI=0.3-0.9)) compared with never consumers. In addition, we found a suggestion of an inverse association with increasing duration of L. Ontario fish consumption (non-eaters RR = 1.0 (ref); 1st tertile RR = 0.6 (95% CI = 0.3-1.3); 2nd tertile RR = 0.4 (95% CI = 0.2-1.0); 3rd tertile RR = 0.5 (95% CI = 0.2-1.0); although the exposure-response gradient was neither monotonic nor significant (ptrend = 0.157). The exposure-response gradients were similar when consumption was lagged 5- and 10-years (5-year lag ptrend = 0.289; 10-year ptrend = 0.269). While interpretation is complicated by a lack of information on family history of prostate cancer, and a small number of cases, these preliminary results are suggestive of an inverse association between Lake Ontario fish consumption and prostate cancer risk. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1914. doi:10.1158/1538-7445.AM2011-1914
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».