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Record W2334750751 · doi:10.1097/mph.0000000000000103

Supporting Adolescents and Young Adults With Cancer Through Transitions

2014· review· en· W2334750751 on OpenAlexaffabout
Krista L. Wilkins, Norma Mammone D’Agostino, Annette M. Penney, Ronald D. Barr, Paul C. Nathan

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2014
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsMcMaster UniversityPrincess Margaret Cancer CentreUniversity of New Brunswick
Fundersnot available
KeywordsMedicineTask (project management)SpecialtyService (business)Young adultHealth careCancer survivorTransition (genetics)Task forceCancerMedical educationGerontologyFamily medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This position statement from the Canadian Task Force on Adolescents and Young Adults with cancer aims to (1) conceptualize the numerous transition experiences encountered by adolescents and young adults (AYA) with cancer; and (2) provide recommendations on how to help the AYA regain a sense of control over their lives as they adjust to these transition experiences. METHODS: We reviewed and synthesized a heterogeneous sample of studies and recommendations, ranging from well-designed case-controlled investigations to opinions of respected authorities based on clinical experience, and reports of expert committees. RESULTS: We describe the key factors that have an impact on different transitions during the cancer journey, and the need for developmentally appropriate services for AYA with cancer that consider both the system issues and individual transition issues. Our recommendations are not intended to be prescriptive, but they are broad enough to be applicable in different types of settings (eg, family doctor, cancer center, specialty service) and systems beyond health care (eg, school system, social system). CONCLUSIONS: The Task Force urges health care providers, parents, and AYA with cancer to work together in planning and implementing strategies that will enable individuals to navigate the transitions they encounter along the cancer journey successfully, and strive for meaningful participation in life situations, achieving their potential as fully functional members of society.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.405
Teacher spread0.366 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations41
Published2014
Admission routes2
Has abstractyes

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