Snapshot of cardio-oncology practice in Italy
Notice bibliographique
Résumé
Abstract Background Several types of patients should be referred to cardio-oncology services, but some may prevail in clinical practice. Moreover, with the global aging of the population of industrialized countries, the patterns of cardio-oncology care of elderly individuals should be object of particular attention. Purpose and methods We retrospectively collected the data of patients evaluated during the first 2 weeks of December 2024 at 9 centres, directed by members of the Cardio-Oncology Study Group of the Italian Society of Cardiology. Results 365 patients were seen during the study period, of whom 238 (65.2%) had solid tumours and 127 (34.8%) haematological tumours. The mean age was 66 (14-93) years and 159 (43.6%) were male. The most common cancers were breast cancer (BC; N=106, 29.0%), non-Hodgkin lymphoma (NHL; N=39, 10.7%) and acute myeloid leukaemia (N=21, 5.8%). The most frequent cancer treatment was immune checkpoint inhibitor (N=76, 20.8%). Consistent with the predominance of BC, chemotherapy agents, HER2-targeting drugs, and endocrine therapy were well represented (Fig. 1A). Sixty-four (17.5%) patients were not scheduled for, nor were receiving cancer treatment at the time of evaluation. The cardio-oncology visit was most often performed for monitoring of cardiovascular (CV) toxicity of ongoing cancer treatment (N=164, 44.9%), or for baseline risk assessment (N=100, 27.4%). The remaining patients were seen because of abnormal cardiac biomarkers, abnormal cardiac imaging, CV symptoms/signs, CV events, or overt CV disease (Fig. 1B). After the cardio-oncological evaluation, follow-up without any intervention was suggested for the majority of subjects (N=240, 65.8%). Another 105 (28.8%) were initiated on CV medications. Cancer treatment was stopped in 9 patients (2.5%), 4 (1.1%) were admitted, and 7 (1.9%) were not further followed (Fig. 1B). Patients with ≥70 years (N=140) were more often male (54.3% vs 36.9%, p=0.001) and had less often BC (17.9% vs 36%, P <0.001) than those younger than 70 years. There were non-significant trends for higher use of tyrosine kinase inhibitor (14.3% vs 8.4%, p=0.08) and lower use of HER2-targeting therapies (6.4% vs 11%, p=0.06) and hematopoietic stem cell transplantation (1.4% vs 5.3%, p=0.06) in older than younger patients. The reasons and outputs of the cardio-oncology assessment were similarly distributed in the 2 groups. Conclusions This cross-sectional study indicates that cardio-oncology practice in Italy largely consists of baseline evaluation and follow-up of patients with cancer, especially BC, with or without optimization of CV therapy, in agreement with the core tasks outlined by the ESC Guidelines on Cardio-Oncology. We did not detect substantial differences in the management of younger vs older patients.Figure 1
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,000 | 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) | 0,005 | 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 ».