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Enregistrement W4387798467 · doi:10.1001/jamanetworkopen.2023.38699

Specialty Palliative Care and Symptom Severity and Control in Adolescents and Young Adults With Cancer

2023· article· en· W4387798467 sur OpenAlexafffundabout
Sumit Gupta, Li Q, Alisha Kassam, Adam Rapoport, Kimberley Widger, Karine Chalifour, Nancy N. Baxter, Paul C. Nathan, Natalie G. Coburn, Rinku Sutradhar

Notice bibliographique

RevueJAMA Network Open · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueChildhood Cancer Survivors' Quality of Life
Établissements canadiensSunnybrook HospitalHealth Sciences CentreSunnybrook Health Science CentreSt. Michael's HospitalInstitute for Clinical Evaluative SciencesPublic Health OntarioHospital for Sick ChildrenSouthlake Regional Health CenterUniversity of Toronto
Organismes subventionnairesCanadian Institutes of Health ResearchOntario Ministry of Health and Long-Term CareInstitute for Clinical Evaluative SciencesCancer Care Ontario
Mots-clésMedicineSpecialtyPalliative careCancerYoung adultCohortCohort studyEmergency medicineInternal medicineFamily medicineNursing

Résumé

récupéré en direct d'OpenAlex

Importance: Adolescents and young adults (AYAs) with cancer experience substantial symptom burden. Specialty palliative care (SPC) is recommended but often not involved or involved late. Objectives: To determine whether patient-reported symptom severity was associated with subsequent SPC involvement and whether SPC was associated with symptom improvement in AYAs with cancer. Design, Setting, and Participants: This cohort study comprised AYAs (aged 15-29 years) with primary cancer diagnosed between January 1, 2010, and June 30, 2018, in Ontario, Canada. Data, including self-reported Edmonton Symptom Assessment System (ESAS) scores, were obtained from health care databases. Specialty palliative care was identified through billing codes and validated algorithms. Final data analysis was performed on April 4, 2023. Main Outcomes and Measures: Associations of ESAS scores with subsequent SPC involvement were determined. A difference-in-differences approach was used for patients who died within 5 years of their cancer diagnosis. Case patients (SPC predeath, index date equals first SPC service) were matched 1:1 to control patients (no SPC at equivalent time before death). The study examined whether the difference between 90-day postindex and preindex mean ESAS scores was itself different between case and control patients. Results: This study included 5435 AYAs with cancer, with a median follow-up of 5.1 (IQR, 2.5-7.9) years for analyses of general palliative care. Their median age at cancer diagnosis was 25 (IQR, 22-27) years, and more than half were male (2809 [51.7%]). For all symptoms, moderate and severe ESAS scores were associated with an increased likelihood of SPC involvement compared with mild scores. The greatest magnitude of association was seen for pain scores (hazard ratio for severe vs mild, 7.7 [95% CI, 5.8-10.2]; P < .001). A total of 721 AYAs (13.3%) died within 5 years of diagnosis, and 612 of these patients (84.9%) had received SPC before death. Among 202 case-control pairs, SPC involvement was associated with improved pain trajectories (mean scores improved from 3.41 to 3.07 in case patients and worsened from 1.86 to 2.16 in control patients; P = .003). Other symptom trajectories were not affected. Conclusions and Relevance: In this cohort study of AYAs with cancer, those reporting moderate or severe symptoms through a screening program were more likely to subsequently receive SPC. These findings suggest that SPC was associated with a subsequent decrease in pain severity but did not affect other symptoms. New interventions targeting other symptoms during treatment and particularly at the end of life are needed.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,054
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,018
Tête enseignante GPT0,308
Écart entre enseignants0,290 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations15
Publié2023
Routes d'admission3
Résumé présentoui

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