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Record W2063240412 · doi:10.1089/jayao.2011.0023

Practices and Resources Devoted to the Care of Adolescents and Young Adults with Cancer in Canada: A Survey of Pediatric and Adult Cancer Treatment Centers

2011· article· en· W2063240412 on OpenAlexaffabout
Raveena Ramphal, Norma Mammone D’Agostino, Anne F. Klassen, Megan R. McLeod, Sonja De Pauw, Abha A. Gupta

Bibliographic record

VenueJournal of Adolescent and Young Adult Oncology · 2011
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsHospital for Sick ChildrenMcMaster UniversityChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineStaffingYoung adultReferralCancerFamily medicinePediatric cancerHealth careMEDLINEPopulationQuality of life (healthcare)GerontologyNursingEnvironmental health

Abstract

fetched live from OpenAlex

PURPOSE: Adolescents and young adults (AYAs) with cancer are a population of patients facing disparities of care affecting quality of life and other health outcomes. Our objective was to document the current environment, resources, and services available to and challenges in the care of these patients in Canada. METHODS: A questionnaire was developed with separate versions for pediatric and adult cancer centers. We invited one individual from every healthcare center providing cancer care in Canada to complete the questionnaire on behalf of his or her center. The survey included questions about referral patterns, diagnosis, treatment options, the nature of the challenges faced when treating AYAs with cancer, collaborative initiatives between pediatric and adult oncologists, and the presence of dedicated AYA resources and staff. RESULTS: We identified a lack of resources, staff, and collaborative activities dedicated to AYAs with cancer throughout Canada, both in pediatric and adult centers. Adult medical oncologists reported experiencing different challenges in treating AYAs with cancer compared to pediatric practitioners. CONCLUSIONS: Efforts to enhance AYA oncology care, including better resources and staffing and improved collaboration between pediatric and adult centers, are required.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.312
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2011
Admission routes2
Has abstractyes

Explore more

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