Real world outcomes in cancer patients with COVID-19 infection: Northern Ireland experience.
Notice bibliographique
Résumé
Background: Cancer has been assumed to be associated with a high-risk of morbidity and mortality from COVID-19. Protective measures have incorporated modifications in cancer treatments. There are conflicting data about the impact of COVID-19 infection and outcomes in cancer patients. We aim to describe the impact of demographic and clinical characteristics on COVID-19 outcomes in patients with cancer in Northern Ireland reported within the UK Coronavirus Cancer Monitoring Project (UKCCMP). Method: Prospective data collection including demographics, cancer stage and type, treatment and outcomes occurred for all Northern Irish patients enrolled in the UKCCMP. The primary endpoint was all-cause mortality. Descriptive statistics and logistic regression analysis were performed using SPSSv25. Results: Between March 2020 and March 2021, 110 cases were registered. Median age was 63 years (range 27 to 87). Seventy patients (63.6%) were >60 years and 59 (53.8%) were females. Co-morbidities were reported in 83 patients (72.7%). Most patients had metastatic disease (64, 58.2%). Sixty-seven patients (60.9%) received anticancer treatment in the 4 weeks prior to COVID-19 infection. Of those patients, 35 (52.2%) received chemotherapy. Thirty-nine patients (58.2%) continued treatment as planned; 24 (36.9%) stopped treatment due to SARS-CoV-2 infection. The majority of patients were asymptomatic or experienced mild symptoms (67, 60.9%). Fifty-one (46.3%%) were admitted to hospital for COVID-19. Risk of severe/critical COVID-19 disease was significantly associated with age (OR 1.07 [95% CI 1.03-1.11); p=0.004), pre-existing hypertension (OR 3.29 [95% CI 1.42-7.62]; p=0.02) and thoracic primary malignancy (OR 4.41 [95% CI 1.52-12.74]; p=0.042). Twenty-nine patients (26.3%) died of whom 15 (57.7%) died of COVID-19 and 13 (44.8%) died due to cancer. Risk of death was significantly associated with age (OR 1.05 [95% CI 1.01-1.09]; p=0.014), male sex (OR 3.76 [95% CI 1.51-9.34]; p=0.008) and thoracic primary malignancy (OR 5.35 [95% CI 1.88-15.25]; p=0.014). When corrected for age, gender and co-morbidities, chemotherapy within the past 4 weeks was not significantly associated with mortality (OR 0.65 [95% CI 0.20-2.11]; p=0.476). Conclusion: Age and thoracic cancer diagnosis correlated with survival. Comparison of performance during the pandemic with national benchmarks can inform how regional services should be adapted in preparation for future healthcare crises.
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 | 0,001 | 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 | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 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 ».