Factors associated with delays to medical assessment and diagnosis for patients with colorectal cancer.
Notice bibliographique
Résumé
OBJECTIVE: To identify factors associated with delays to medical assessment and diagnosis for patients with colorectal cancer (CRC). DESIGN: Data were collected through a standardized questionnaire. Clinical records were also reviewed. When necessary, patients were contacted by a member of the study team to collect missing data and confirm information. SETTING: Cross Cancer Institute in Edmonton, Alta. PARTICIPANTS: Patients newly diagnosed with a histologically proven colorectal adenocarcinoma were identified and eligible for the study. MAIN OUTCOME MEASURES: Associations between symptoms, tumour stage at operation, symptom duration, and tumour location were sought to identify factors associated with a delay in diagnosis of CRC. RESULTS: Surveys were completed by 93 patients. A total of 49% of patients had symptoms of CRC present for 1 month or less before seeing a physician, and 51% had symptoms for longer than 1 month. Seventy-five (86%) patients initially presented to family physicians for assessment, while 12 (14%) patients presented to the emergency department for their first physician encounters. Only 33 (38%) patients had digital rectal examinations during their first visits. Women were more likely to present to physicians with longer than 1 month of symptoms, while men were more likely to present with less than 1 month of symptoms (P = .03). Abdominal pain, blood in the stool, and change in stool size were the most frequent symptoms encountered. Twenty-two (26%) patients delayed seeking treatment because they thought their symptoms were not serious and 12 (14%) believed that their family physicians had taken inappropriate action. Fifteen (18%) patients attributed their delays to waiting too long for specialist referral and diagnostic tests. CONCLUSION: This study highlights the important role patients and physicians both play in delays in the diagnosis of CRC. Efforts to diminish future delays must focus on educating the public and practising physicians about important symptoms and signs of CRC. Additionally, the value of a digital rectal examination must be emphasized, along with continued promotion of CRC screening.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».