Survival outcomes associated with chemotherapy-induced neutropenia in the adjuvant treatment of colorectal cancer with FOLFOX.
Notice bibliographique
Résumé
81 Background: Patients undergoing adjuvant treatment with FOLFOX for colorectal cancer (CRC) are at risk of developing chemotherapy-induced neutropenia (CIN). We assessed survival outcomes in patients who develop CIN in this setting. Methods: We performed a retrospective chart review of patients with CRC treated with FOLFOX at our institution in Canada from 2013 to 2015. The survival follow-up cut-off date was August 2021. Demographic, treatment, and outcome data were collected. CIN was defined as ANC <1.5, and all episodes of neutropenia were assumed to be the result of chemotherapy. Median OS was calculated using Kaplan-Meier product limit estimates. Results: A total of 302 patients were included (baseline demographics in the table). Median follow-up was 110 months. In the overall cohort, 174 patients (58%) had at least one episode of CIN. CIN occurred in 56% of those with stage II cancer, 43% of those with low risk stage III cancer (T1-3 and N1), and 45% of those with high risk stage III cancer (T4 or N2). Median time to first CIN event was 4.3 months. Among patients with at least one episode of CIN, the first CIN event occurred during the first 3 months of treatment in 110 (63%). Among patients with at least one episode of CIN, 79 (45%) received subsequent granulocyte colony-stimulating factor (GCSF). The median OS in the overall cohort was 171 months. For patients with and without CIN the median OS had not been reached, HR 0.84 (95% CI 0.55-1.29, p=0.43). The median OS for patients with CIN treated with and without GCSF had not been reached, HR 1.02 (95% CI 0.57-1.82, p=0.94). The 5-year survival rate for patients with and without CIN was 87% vs 77%. The 10-year survival rate for patients with and without CIN was 70% vs 64%. A trend toward improved survival in those with CIN remained when results were analyzed by cancer stage. Conclusions: Patients with CIN had a trend toward improved survival compared to those who did not have CIN. There was no indication that GCSF in the setting of CIN impacted survival. The causes for the potentially protective effect of CIN in the setting of adjuvant CRC treatment require further elucidation.[Table: see text]
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 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 | 0,001 |
| 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 ».