Analysing the colorectal cancer screening patterns during the COVID-19 pandemic and their effects on patient outcomes.
Notice bibliographique
Résumé
40 Background: In Canada, colorectal cancer (CRC) ranks as the third most prevalent cancer and second leading cause of cancer mortality (1). The potential to prevent a significant proportion of colorectal cancers and associated mortality through effective screening is widely acknowledged (Han-Mo Chiu, 2021). Notably, fecal immunohistochemistry testing (FIT) has led to improved early detection of CRC (2). However, FIT screening was suspended in Canada in the initial phase of the COVID-19 pandemic response. Specifically, in Ontario, the collection of FIT samples was suspended between March 23rd, 2020 and August 26th, 2020 (3). During this 3-month period, an estimated 540,000 Canadians would have participated in screening, as indicated by OncoSim, a microsimulation model for cancer (4). The primary objective was to evaluate the consequences of screening cessation, through comparison of asymptomatic and symptomatic CRC diagnoses at the Windsor Regional Cancer Centre in Windsor, Ontario. Methods: A retrospective chart review was performed for patients admitted to the Windsor Regional Cancer Centre of Windsor Regional Hospital between December 2016 and June 2021. Demographic data, risk factors for CRC, cancer operability status, and the presence of symptoms at diagnosis of CRC were recorded. Results: 771 patient charts were reviewed and 77 (10%) were excluded due to duplication or insufficient chart data. Of the remaining 694 patients, 545 (79%) were classified as the pre-COVID group (December 2016 to February 2020) and 149 (21%) as the COVID group (March 2020 to June 2021). We found a 2.5% increase in symptomatic diagnoses of CRC in patients diagnosed after March 2020 (pre-COVID group vs. COVID group). However, we did not observe a significant difference in proportion of inoperable CRC cases between groups. Conclusions: The observed trend of symptomatic diagnoses of CRC underscores the importance of FIT screening for early CRC detection and the need for increased catch-up screening to mitigate the potential risks and mortality associated with CRC screening interruptions. For this, it is presumed that a population of patients exists who would have tested positive through FIT screening but instead presented symptomatically at a later stage of the disease. It is also important to note that our study data did not extend beyond June 2021, so we could not capture the complete impact of FIT cessation. (1) Canadian Cancer Statistics, 2021. (2) Zauber, 2015. (3) Ontario Health, 2021. (4) StatCan, 2021.
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| 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 ».