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Record W2067926537 · doi:10.3747/co.v18i6.956

Survivorship Services for Adult Cancer Populations: A Pan-Canadian Guideline

2011· article· en· W2067926537 on OpenAlexaffvenueabout
Doris Howell, Thomas F. Hack, T. K. Oliver, T. Chulak, Samantha Mayo, Michèle Aubin, Martin Chasen, Craig C. Earle, Audrey Jusko Friedman, E. Green, Glenn Jones, Jori Jones, Maureen Parkinson, Nancy Payeur, Catherine M. Sabiston, Shane Sinclair

Bibliographic record

VenueCurrent Oncology · 2011
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of CalgaryAlberta Health ServicesBC Cancer AgencyCredit Valley HospitalOntario Institute for Cancer ResearchÉlisabeth Bruyère HospitalMcGill UniversityUniversity of OttawaUniversité LavalUniversity of ManitobaCancer Care OntarioMcMaster UniversityUniversity Health NetworkOttawa Regional Cancer FoundationCancerCare ManitobaUniversity of Toronto
Fundersnot available
KeywordsMedicinePsychosocialSurvivorship curveCINAHLPsychological interventionMEDLINEFamily medicineCancer survivorCochrane LibrarySystematic reviewCancerHealth careGuidelineGerontologyAlternative medicineNursingPsychiatryPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: Our goal was to develop evidence-based recommendations for the organization and structure of cancer survivorship services, and best-care practices to optimize the health and well-being of post-primary treatment survivors. This review sought to determine the optimal organization and care delivery structure for cancer survivorship services, and the specific clinical practices and interventions that would improve or maximize the psychosocial health and overall well-being of adult cancer survivors. DATA SOURCES: We conducted a systematic search of the Inventory of Cancer Guidelines at the Canadian Partnership Against Cancer, the U.S. National Guideline Clearinghouse, the Canadian Medical Association InfoBase, medline (ovid: 1999 through November 2009), embase (ovid: 1999 through November 2009), Psychinfo (ovid: 1999 through November 2009), the Cochrane Library (ovid; Issue 1, 2009), and cinahl (ebsco: 1999 through December 2009). Reference lists of related papers and recent review articles were scanned for additional citations. METHODS: Articles were selected for inclusion as evidence in the systematic review if they reported on organizational system components for survivors of cancer, or on psychosocial or supportive care interventions HOWELL et al. designed for survivors of cancer. Articles were excluded from the systematic review if they focused only on pediatric cancer survivor populations or on populations that transitioned from pediatric cancer to adult services; if they addressed only pharmacologic interventions or diagnostic testing and follow-up of cancer survivors; if they were systematic reviews with inadequately described methods; if they were qualitative or descriptive studies; and if they were opinion papers, letters, or editorials. DATA EXTRACTION AND SYNTHESIS: Evidence was selected and reviewed by three members of the Cancer Journey Survivorship Expert Panel (SM, TC, TKO). The resulting summary of the evidence was guided further and reviewed by the members of Cancer Journey Survivorship Expert Panel. Fourteen practice guidelines, eight systematic reviews, and sixty-thee randomized controlled trials form the evidence base for this guidance document. These publications demonstrate that survivors benefit from coordinated post-treatment care, including interventions to address specific psychosocial, supportive care, and rehabilitative concerns. CONCLUSIONS: Ongoing high-quality research is essential to optimize services for cancer survivors. Interventions that promote healthy lifestyle behaviours or that address psychosocial concerns and distress appear to improve physical functioning, psychosocial well-being, and quality of life for survivors.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.295
GPT teacher head0.468
Teacher spread0.173 · 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 designNot applicable
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

Citations84
Published2011
Admission routes3
Has abstractyes

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