Integration of new technology into a high-risk underserved community: Pilot studies within an oral cancer screening clinic.
Notice bibliographique
Résumé
B9 Oral cancer is a deadly disease characterized by both high mortality and morbidity. Early identification of this disease in the community is key to its management; however, globally, we have yet to develop effective screening regimes in such settings. This is especially true for underprivileged populations with marginalized life styles and poor access to care, but where the need is greatest. Objective : To pilot an oral cancer screening intervention in a clinic that services a high-risk hard-to-reach community in the Vancouver Downtown Eastside (DTES), utilizing a triage system under development in British Columbia. This system will integrate visualization, computer imaging and molecular tools to identify cases at risk in the community and triage them to treatment. This abstract describes the initial phase of this study. Method: In September 2004, an oral cancer-screening clinic was established in a pre-existing community dental clinic in the DTES. Patients attending the clinic for regular dental workups were offered screening, utilizing both conventional techniques and visualization aids (fluorescence visualization and toluidine blue retention). Samples of exfoliated cells were collected from lesion and control sites for future assessment of phenotypic change with high throughput computer technologies. Results: To date, 200 of 204 (98%) patients approached have agreed to screening. Of these, the majority were at high-risk for oral cancer: ever smokers (89%) and regular consumers of alcohol (89%), often immunocompromised (HIV and HCV), with a high usage of illicit drugs. Trauma, infection and inflammation were common - often masking the visualization of clinical features. Leukoplakia was seen in 31 patients and all showed significant alteration in fluorescence, with 13 (42%) also showing toluidine blue staining. To date, 12 of these 13 cases have been biopsied, showing 2 cancers and 8 precancers. Conclusion: This study demonstrates the feasibility of establishing screening activities in dental clinics in poor, medically underserved populations and supports the utility of screening devices in such groups. Future work will integrate computer technologies to facilitate the differentiation of lesions at risk (and requiring biopsy) among cases in which the disease could be masked by chronic trauma and infection. (Supported by grants R01DE13124, R01DE17013, NIDCR, and salary support to CFP from CIHR).
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».