Abstract A36: The relationship between modifiable environmental risk factors and colorectal cancer: A systematic review
Notice bibliographique
Résumé
Abstract Colorectal cancer is the second leading cause of cancer death in Canada with an estimated 8, 900 deaths per year. The province of Ontario currently has the highest estimated number of deaths from colorectal cancer. Within Ontario, there are prevalent disparities of cancer incidence between communities. Colorectal cancer incidence rates range between >65 new cases per 100, 000 people in communities with higher incidence rates and 45 new cases per 100, 000 people in communities with lower incidence rates. These diverging rates of colorectal cancer have not been studied in relation to modifiable environmental risk factors. As an initial step in assessing these types of risk factors, we are undertaking a systematic review in order to examine current epidemiological evidence on the effects of modifiable environmental risk factors in colorectal cancer incidence. A community based participatory study, as a second step following the systematic review, is currently underway as a case control study among the community groups that present the highest and lowest colorectal cancer incidence rates. The aim of this study is to conduct a synthesis of all primary studies that examine any modifiable environmental risk factors and colorectal cancer using systematic review methodology. We hypothesize that modifiable environmental risk factors are partially responsible for regional colorectal cancer incidence disparities. Seven categories pre-determined for the case control study are also being used for the systematic review as they were found to be the most common modifiable environmental risk factors associated with colorectal cancer in the literature. The categories are air pollution, alcohol, ionizing radiation, metal toxins, occupational exposure, pesticides/organochlorines, and smoking/tobacco. A screening inclusion tool was created in order to identify the articles that would be included in the systematic review. Any original research study, published in English, examining only human participants that discussed any modifiable environmental risk factor and the measurable outcome of colorectal cancer were eligible for inclusion. Studies that examine non human participants, cell lines or DNA components, languages other than English, nutritional components, and examine outcomes other than colorectal cancer were excluded. A comprehensive search of the PubMed database between 1960 and April 2011 was performed using the key words “colorectal neoplasms,” “ethanol,” “alcoholism,” “alcoholic beverages,” “alcoholic drinking,” “smoking,” “tobacco,” “air pollution,” “adverse effects ionizing radiation,” “metals,” “heavy/adverse effects,” “light/adverse effects,” and “occupational exposure,” “pesticides,” and “organochlorine products.” All articles are being reviewed by two researchers utilizing the screening inclusion tool and data extraction form. The articles that pass the inclusion criteria tool are then being categorized further into sub categories in the seven risk factor categories, based on type of study and specific risk factor studied. Initial search yielded 537 citations which are being categorized into the seven different types of risk factors using the inclusion criteria. The strongest evidence will be demonstrated in various categories highlighting characteristics of research methodology, risk factor, and measured outcomes. This evidence will be presented to not only benefit communities with cancer disparities but to benefit the second step of our study regarding a community based case control study. Identification and understanding of the best evidence is imperative to utilize robust methodology and assess research gaps for further community research. Citation Information: Cancer Epidemiol Biomarkers Prev 2011;20(10 Suppl):A36.
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 | 0,009 | 0,055 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,007 |
| Bibliométrie | 0,008 | 0,010 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».