MétaCan
Menu
Retour à la cohorte
Enregistrement W2322858504 · doi:10.1158/1940-6207.prev-11-b27

Abstract B27: Influence of fluorescence visualization on screening decisions in the general dental office

2011· article· en· W2322858504 sur OpenAlexaff
Denise M. Laronde, P. Michele Williams, Samson Ng, Catherine F. Poh, T. Greg Hislop, Lewei Zhang, Miriam P. Rosin

Notice bibliographique

RevueCancer Prevention Research · 2011
Typearticle
Langueen
DomaineDentistry
ThématiqueOral Health Pathology and Treatment
Établissements canadiensSimon Fraser UniversityVancouver General HospitalBC Cancer AgencyUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineReferralTriageCancerIntervention (counseling)Dental practiceMedical emergencyPathologyFamily medicineDentistryInternal medicineNursing

Résumé

récupéré en direct d'OpenAlex

Abstract Oral cancer is a substantial, often unrecognized issue globally, with close to 300,000 new cases reported annually. It is a management conundrum: a cancer site that is easily examined, yet >40% of oral cancers are diagnosed at a late stage when prognosis is poor and treatment can be devastating. Opportunistic screening within the dental office could lead to earlier diagnosis and intervention with improved survival. With an increasing number of screening tools commercially available it is vital to validate these tools within the general dental office amongst clinicians who are not as experienced as specialists in high-risk clinics. One such tool, fluorescence visualization (FV), is used to assess alterations to tissue fluorescence. The goal of this study was to determine how clinicians made decisions about referral based on the risk classification of the lesion, how FV was integrated and how it affected the decision to refer. Information on FV rates in private practice and how FV affects decision making is vital to determine the feasibility of using this tool in a general practice setting. Methods: 15 dental offices participated in a 1-day workshop on oral cancer screening, including an introduction to and use of FV. Participants then screened patients (medical history, convention oral exam, fluorescent visualization exam) in-office for 11 months. Participants were asked to triage lesions by apparent risk: low, intermediate and high. Low-risk (LR) lesions were common and benign conditions including geographic tongue, candidiasis and known trauma. Intermediate risk (IR) lesions were lichenoid in appearance and high-risk (HR) lesions were white or red lesions or ulcers without apparent cause. Clinicians then made the decision on which lesions to reassess in 3 weeks based on risk assessment and clinical judgment. Lesions of concern were seen by a community facilitator or referred to an oral medicine specialist. Results: 2542 patients were screened with 389 (15%) low, intermediate or high-risk lesions detected. Of the 389 lesions, FV data was available for 357. Of 325 LR lesions, 175 (54%) were FV+. 93 were recalled (primarily trauma), 86 complied and at 3 weeks only 18 were FV+ and 2 were FVE (equivocal). 22 lesions were seen by a facilitator/referred resulting in 2 biopsies with benign findings. 89% of low-risk FV+ lesions were transient. Eight of the 16 IR lesions were FV+, 10 lesions were recalled (6 FV+, 1 FVE, 3 FV−) and all complied. 4 of 6 FV+ lesions remained positive and were referred. Status of FV− and FVE lesions remained the same and were referred/seen by a facilitator. One FV− IR lesion was reassessed as FV+ and referred for biopsy (lichenoid mucositis). Of the 16 lesions assessed HR at baseline, 9 were FV+, 1 FVE and 6 FV−; 1 FV+ lesion was referred directly, biopsied -> low grade dysplasia. Of the 8 FV+ lesions, 5 were FV+ and 1 FVE at follow-up, 4 were referred resulting in 1 biopsy of low grade dysplasia. 1 FVE lesion was FV− at recall. 4 of the 6 FV− lesions were recalled, 1 was FV+ at recall and referred. 25 FV+ sites had no visible clinical lesion. 9 were recalled, 8 complied and 1 was referred directly to a specialist with no reassessment. None were found to be of concern; FV+ was associated with denture sore spots, scar tissue, vascularities, etc. Conclusions: A 3 week reassessment appointment is invaluable to reduce the proportion of FV+ lesions attributed to trauma and prevent the unnecessary referral due to confounders. Patient compliance for the 3 week reassessment was high. Not surprisingly, FV status of intermediate and high risk lesions did not alter as much at reassessment. FV played a role in the decision to reassess and refer lesions as lesions with persisting FV+ were more apt to be referred. Clinicians relied on their own judgment and referred if a lesion was FV− if they were concerned. Citation Information: Cancer Prev Res 2011;4(10 Suppl):B27.

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)0,002
score de la tête « metaresearch » (Gemma)0,000
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 enseignants0,121
Score d'incertitude au seuil0,446

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,243
Tête enseignante GPT0,518
Écart entre enseignants0,275 · 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
Publié2011
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueCancer Prevention ResearchMême sujetOral Health Pathology and TreatmentTravaux en français237 207