Cognitive Risk in Survivors of Pediatric Brain Tumors
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.20.02338 Journal of Clinical Oncology - published online before print April 22, 2021 PMID: 33886348 Cognitive Risk in Survivors of Pediatric Brain Tumors Ade Oyefiade , MA1,2xAde OyefiadeSearch for articles by this author; Iris Paltin, PhD3,4xIris PaltinSearch for articles by this author; Cinzia R. De Luca, PhD5,6xCinzia R. De LucaSearch for articles by this author; Kristina K. Hardy , PhD7,8xKristina K. HardySearch for articles by this author; David R. Grosshans, MD, PhD9xDavid R. GrosshansSearch for articles by this author; Murali Chintagumpala, MD10,11xMurali ChintagumpalaSearch for articles by this author; Donald J. Mabbott, PhD1,2xDonald J. MabbottSearch for articles by this author; and Lisa S. Kahalley , PhD10,11,12xLisa S. KahalleySearch for articles by this author Show More 1Program in Neurosciences and Mental Health, Research Institute, The Hospital for Sick Children, Toronto, ON, Canada2Department of Psychology, The University of Toronto, Toronto, ON, Canada3The Children's Hospital of Philadelphia, Philadelphia, PA4University of Pennsylvania Perelman School of Medicine, Philadelphia, PA5Children's Cancer Centre, The Royal Children's Hospital, Melbourne, Australia6Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia7Neuropsychology Division, Children's National Hospital, Washington, DC8Departments of Psychiatry and Behavioral Sciences and Pediatrics, The George Washington University School of Medicine, Washington, DC9Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX10Department of Pediatrics, Baylor College of Medicine, Houston, TX11Texas Children's Cancer Center, Texas Children's Hospital, Houston, TX12Psychology Service, Texas Children's Hospital, Houston, TX https://doi.org/10.1200/JCO.20.02338 First Page Full Text PDF Figures and Tables © 2021 by American Society of Clinical OncologyCONTEXTKey ObjectiveWhat is the cognitive risk experienced by pediatric brain tumor (PBT) survivors based on established and emerging evidence?Knowledge GeneratedInnovative approaches to therapy that reduce treatment burden have improved cognitive outcomes for specific groups of PBT survivors.Historically, studies have failed to examine other important determinants of cognitive development and functional outcomes (eg, patient and environmental characteristics) beyond disease and treatment and have focused too narrowly on global intellectual functioning, neglecting other outcomes highly associated with survivorship quality (eg, social functioning).RelevanceWhen research informs a more comprehensive model of cognitive risk, we will more accurately predict the range of cognitive and functional outcomes that an individual patient is likely to experience based on disease, treatment, patient, and environmental characteristics, allowing clinical teams to take a more targeted approach toward engaging supports and allocating resources for patients with PBT and survivors.AUTHOR CONTRIBUTIONSConception and design: Ade Oyefiade, Iris Paltin, Cinzia R. De Luca, Kristina K. Hardy, Donald J. Mabbott, Lisa S. KahalleyFinancial support: Donald J. MabbottAdministrative support: Donald J. MabbottProvision of study materials or patients: Ade Oyefiade, Donald J. Mabbott, Lisa S. KahalleyCollection and assembly of data: Ade Oyefiade, Cinzia R. De Luca, Iris Paltin, Kristina K. Hardy, Donald J. Mabbott, Lisa S. KahalleyData 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 INTERESTCognitive Risk in Survivors of Pediatric Brain TumorsThe 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).Kristina K. HardyEmployment: BayerHonoraria: BayerSpeakers' Bureau: BayerTravel, Accommodations, Expenses: BayerNo 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 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 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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) | 0,006 | 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 ».