A164 OPTIMIZING A PROVINCIAL SCREENING PROGRAM FOR DETECTION OF LYNCH SYNDROME
Notice bibliographique
Résumé
Abstract Background Up to 30% of those with colorectal cancer (CRC) have an affected family member. Lynch syndrome (LS) is the most common inherited condition predisposing patients to CRC. LS is an autosomal dominant condition associated with microsatellite instability (MSI) and mutations in DNA mismatch repair (MMR) genes, and screening CRC cases ≤ age 70 can identify LS in a cost-effective manner. Manitoba launched Canada's first provincial reflex screening program for all CRC cases diagnosed ≤ age 70 using MMR immunohistochemistry (MMR-IHC) in 2017. Our prior 2022 study evaluating the program showed compliance rates of 89.4% for MMR-IHC reflex testing and a 75.8% overall referral rate of screen-positive cases to genetics. However, only 50% were referred directly by pathologists. Several modifications have since been implemented to enhance the program. These included providing feedback to pathologists, creating an “additional testing comment section” on synoptic pathology reports, and regular review of the pathology reports by a pathology assistant. Information materials were developed to encourage genetic testing among relatives. Aims Assess whether modifications to Manitoba’s universal screening protocol improved LS patient outcomes and determine any remaining factors to optimize. We specifically aimed to identify current compliance rates for MMR-IHC testing, the overall referral rate of screen-positive cases to genetics, uptake of genetic referrals and genetic testing as well as rate of cascade testing among relatives. Methods Data has been obtained by searching the provincial pathology database for “adenocarcinoma” in the colorectal specimen pathology reports. All specimens from 2022 and Q1/Q2 of 2023 were reviewed, meeting the criteria of: a) specimen from colon biopsy/excision containing the term “adenocarcinoma”, b) patient age ≤70 years, and c) missing MMR centralized by the IT/Pathology department. Additionally, a random sample of cases categorized as “MMR performed” will be audited. We are in the process of reviewing genetic referrals, genetic uptake and the frequency of reminders triggered to each pathologist. Results Currently, a total of 1,308 colonic adenocarcinoma specimens (811 from 2022, 497 for 2023) have been reviewed. Appropriate MMR testing was missed in only 1.5% of cases (13/811 =1.6% missed in 2022, 7/497= 1.4% missed in 2023). Conclusions Current MMR testing rates for colonic adenocarcinoma specimens within the Manitoba LS screening program have reached a current compliance rate of 98.5%, a substantial improvement from the prior audit (89.4% previously). Further data collection and analysis is ongoing and will also be presented. The reported rates of compliance are the highest that have been reported from any jurisdiction. This study highlights the sustained efforts required to improve detection of LS. Funding Agencies None
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 | 0,005 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».