Aging in Adult Survivors of Childhood Cancer: Implications for Future Care
Notice bibliographique
Résumé
Article Tools REVIEW ARTICLES Neurocognitive Outcomes in Survivors of Pediatric Cancer Article Tools OPTIONS & TOOLS Export Citation Track Citation Add To Favorites Rights & Permissions COMPANION ARTICLES No companion articles ARTICLE CITATION DOI: 10.1200/JCO.20.02534 Journal of Clinical Oncology - published online before print April 22, 2021 PMID: 33886351 Aging in Adult Survivors of Childhood Cancer: Implications for Future Care Ilse Schuitema, PhD1xIlse SchuitemaSearch for articles by this author; Tyler Alexander , PhD2xTyler AlexanderSearch for articles by this author; Melissa M. Hudson , MD2,3xMelissa M. HudsonSearch for articles by this author; Kevin R. Krull , PhD2,4xKevin R. KrullSearch for articles by this author; and Kim Edelstein , PhD5xKim EdelsteinSearch for articles by this author Show More 1Department of Health, Medical and Neuropsychology, Leiden University, Leiden, the Netherlands2Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN3Department of Oncology, St Jude Children's Research Hospital, Memphis, TN4Department of Psychology, St Jude Children's Research Hospital, Memphis, TN5Department of Supportive Care, Princess Margaret Cancer Centre, Toronto, Ontario, Canada https://doi.org/10.1200/JCO.20.02534 First Page Full Text PDF Figures and Tables © 2021 by American Society of Clinical OncologyCONTEXTKey ObjectiveTo describe the phenotype of cellular, physiological, and cognitive aging in adult survivors of childhood cancers.Knowledge GeneratedTelomere shortening, chronic inflammation, frailty, severe, disabling, or life-threatening chronic health conditions, and neurocognitive deficits occur in survivors during young to mid adulthood, changes normally seen in adults decades older. This phenotype is most salient after treatment targeting the CNS.RelevanceAdult survivors of childhood cancer are at risk for the development of chronic diseases and neurocognitive decline that are typically observed in older adults, suggesting early and/or accelerated aging. Identifying markers of biological or functional age could aid in developing supportive care interventions for survivors most at risk.SUPPORTSupported in part by the Princess Margaret Cancer Foundation and the Ontario Ministry of Health and Long Term Care (K.E.), and the American Lebanese Syrian Associated Charities (A.T., M.H., K.R.K.). A.T. was also supported by a training grant from the National Cancer Institute (T32 CA225590 to K.R.K.).AUTHOR CONTRIBUTIONSConception and design: Ilse Schuitema, Melissa Hudson, Kevin R. Krull, Kim EdelsteinAdministrative support: Kevin R. KrullCollection and assembly of data: Ilse Schuitema, Tyler Alexander, Kim EdelsteinData analysis and interpretation: All authorsManuscript writing: All authorsFinal approval of manuscript: All authorsAccountable for all aspects of the work: All authorsAUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTERESTAging in Adult Survivors of Childhood Cancer: Implications for Future CareThe following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/jco/authors/author-center.Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).Melissa HudsonConsulting or Advisory Role: Oncology Research Information Exchange Network, Princess Máxima CenterKevin R. KrullPatents, Royalties, Other Intellectual Property: Royalties from Wolters KluwerNo other potential conflicts of interest were reported.
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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,007 | 0,002 |
| 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 | 0,001 | 0,002 |
| 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 ».