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What Are the Attitudes and Beliefs of Oncologists Regarding Potential Cancer Rehabilitation in a Tertiary Cancer Center?

2019· article· en· W2939594655 on OpenAlex
George J. Francis, Jack B. Fu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRehabilitation Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsFoothills Medical CentreUniversity of Calgary
FundersNational Cancer Institute
KeywordsRehabilitationDeconditioningMedicineQuality of life (healthcare)CancerOperationalizationPhysical therapyFamily medicineGerontologyNursing

Abstract

fetched live from OpenAlex

Cancer Rehabilitation (CR) is an emerging field in Physical Medicine & Rehabilitation. Current literature highlights the effectiveness of cancer rehabilitation in improving functional outcomes, shorter length of hospital stay, and improved quality of life. Despite this, there are very few formalized CR programs across all of North America. We conducted a survey at a tertiary cancer center without a formalized CR program to assess the perceived need of such a program and its potential development. This survey of medical, surgical, radiation and pediatric oncologists demonstrated that 92.3% of 39 respondents felt CR was somewhat to very important, particularly for their patients' issues of fatigue, deconditioning, pain management and disposition planning. These findings highlight the value seen by oncologists in the need for further cancer rehabilitation access and formalized program development in order to meet patient needs for improving functional deficits, activities of daily living and quality of life.

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.

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)0.001
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 score0.079
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.016
GPT teacher head0.362
Teacher spread0.346 · 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