Primary Care Utilization and Cardiovascular Screening in Adult Survivors of Childhood Cancer
Notice bibliographique
Résumé
Importance: Cardiovascular disease is the leading noncancer cause of premature death among survivors of childhood cancer. Adult survivors of childhood cancer are largely managed by primary care practitioners (PCPs), and health care utilization patterns related to cardiovascular screening are not well described. Objective: To examine screening and health care utilization among survivors of childhood cancer at high risk for cardiovascular complications. Design, Setting, and Participants: This multicenter cross-sectional study included participants enrolled in a randomized clinical trial from 2017 to 2021. Abstracted documentation of participants' cancer history, cardiotoxic treatment exposures, and survivorship care plans were obtained from participants' PCPs spanning 2 years preceding trial enrollment. Participants were members of the Childhood Cancer Survivor Study cohort at elevated risk for ischemic heart disease or heart failure, enrolled in a randomized trial focused on improving cardiovascular risk factor control. Data were analyzed from November 2022 to July 2023. Main Outcomes and Measures: Outcomes of interest were numbers of PCP and specialist visits, cardiovascular risk factors (hypertension, dyslipidemia, and diabetes), risk factor screening, and cardiac testing. Multivariable logistic regression assessed characteristics associated with up-to-date cardiac testing at enrollment. Results: Of 347 enrolled participants, 293 (84.4%) had evaluable medical records (median [range] age, 39.9 [21.5-65.0] years; 149 [50.9%] male) and were included in analyses. At baseline, 238 participants (81.2%) had a documented PCP encounter; 241 participants (82.3%) had undergone blood pressure screening, 179 participants (61.1%) had undergone lipid testing, and 193 participants (65.9%) had undergone diabetes screening. A total of 63 participants (21.5%) had echocardiography completed or planned. Only 198 participants (67.6%) had records referencing a cancer history. PCP documentation of prior cardiotoxic exposures was low compared with known exposures, including radiation therapy (103 participants [35.2%] vs 203 participants [69.3%]; P < .001) and anthracycline chemotherapy (27 participants [9.2%] vs 222 participants [75.8%]; P = .008). Few records referenced a need for cancer-related late effects surveillance (95 records [32.4%]). Independent factors associated with cardiac screening included documentation of increased cardiovascular disease risk (odds ratio [OR], 11.94; 95% CI, 3.37-42.31), a late-effects surveillance plan (OR, 3.92; 95% CI, 1.69-9.11), and existing cardiovascular risk factors (OR per each additional factor, 2.09; 95% CI, 1.32-3.31). Conclusions and Relevance: This cross-sectional study of adult survivors of childhood cancer at increased risk of cardiovascular disease found low adherence to recommended cardiac testing and documentation of risk for these individuals. Improving accuracy of reporting of survivors' exposures and risks within the medical record may improve 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 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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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) | 0,002 | 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 ».