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Record W3183342347 · doi:10.11124/jbies-20-00444

The delivery of palliative and end-of-life care to adolescents and young adults living with cancer: a scoping review protocol

2021· review· en· W3183342347 on OpenAlexaff
Emily K. Drake, Lori E. Weeks, Michael van Manen, Janet Curran, Shelley McKibbon

Bibliographic record

VenueJBI Evidence Synthesis · 2021
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsKellogg's (Canada)University of AlbertaNova Scotia Health AuthorityIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsProtocol (science)Palliative careEnd-of-life careGerontologyCancerMedicinePsychologyNursingAlternative medicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This review will provide an overview of the evidence on the delivery of palliative and end-of-life care to adolescents and young adults living with cancer, by identifying knowledge gaps and discussing the key characteristics and types of evidence in this field. INTRODUCTION: Adolescents and young adults receive their diagnoses at an important stage of development, and often access health systems that are ill-equipped to deal with them, leading to many unmet needs. Some of these needs can be addressed by holistic palliative care services. A better understanding of the literature in this area is needed to identify what is known about the delivery of care to adolescents and young adults. INCLUSION CRITERIA: This review will consider studies that pertain to the delivery of palliative and end-of-life care for adolescents and young adults living with cancer. Relevant research may be in the context of ambulatory services, advance care planning, palliative care units, home care, hospices, and end-of-lifecare facilities. Studies that concern other oncology populations will be excluded. METHODS: CINAHL (EBSCO), MEDLINE (Ovid), Embase (Elsevier), APA PsycINFO (EBSCO), and Web of Science (Science Citation Index Expanded and Social Sciences Citation Index; Clarivate Analytics) databases will be searched, along with other sources of gray literature. No date limit will be set. Two independent reviewers will screen titles and abstracts for studies that meet the review's inclusion criteria and the fulltext of eligible studies will be reviewed. Data from studies that are eligible for inclusion will be extracted using two independent reviewers and presented in a tabular form with an accompanying narrative summary.

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)0.101
metaresearch head score (Gemma)0.086
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.101
Threshold uncertainty score0.533

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1010.086
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0140.015
Bibliometrics0.0230.018
Science and technology studies0.0060.006
Scholarly communication0.0100.010
Open science0.0080.008
Research integrity0.0100.006
Insufficient payload (model declined to judge)0.0600.013

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 head0.043
GPT teacher head0.400
Teacher spread0.357 · 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 designSystematic review
Domainnot available
GenreProtocol

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

Citations7
Published2021
Admission routes1
Has abstractyes

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