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Record W2958607468 · doi:10.21037/apm.2019.06.02

Ethical issues in patients referred for palliative radiation therapy

2019· article· en· W2958607468 on OpenAlexaff
Divya Yerramilli, Gregory Parker, Virginia LeBaron, Monica Krishnan, Lauren Hertan, Alexander Spektor, R. Shiloh, Sonia Skamene, Tracy A. Balboni

Bibliographic record

VenueAnnals of Palliative Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicinePalliative carePsychosocialFeelingDistressFamily medicineNursingPsychiatryClinical psychologyPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: As patients with advanced cancer approach end of life, ethical issues may arise. We describe ethical issues encountered by radiation oncologists in this setting. METHODS: A prospective, survey-based study assessed 162 consecutive consults for palliative radiation therapy (PRT) over 4 months at 3 hospitals. Consulting radiation clinicians completed a survey assessing palliative care issues encountered, based on national guidelines. Ethical issues included 5 subthemes (conflict between clinicians, caregiver-clinician conflict, internal conflict, feeling unable to do what was best for the patient, and violation of personal morals), an option for unclassified issues, and open-ended responses. Multivariate analyses (MVA) assessed potential patient-related predictors of ethical issues: gender, performance status (PS), PRT indication, physical symptoms, and presence of psychosocial, goals of care, care coordination, cultural, or spiritual issues. RESULTS: Of 162 surveys, 140 were completed (response rate =86%). Overall, 14 (10%) surveys identified ethical issues relevant to care; 11 of 14 (78%) identified more than 1 ethical issue. Half (7; 50%) involved conflict between clinicians and clinician-caregiver conflict; 6 (43%) involved clinician distress or internal conflict; and 2 (14%) felt impeded from doing what they felt was best for the patient. Open-ended responses revealed differences in opinion between medical specialties (n=6, 43%), and conflict related to coordination of care among clinicians (n=3, 21%). On UVA, ethical issues were associated with PRT referrals for bleeding, dyspnea, or dysphagia due to visceral metastases (30%) versus CNS indications such as brain metastases or cord compression (7%) or for bony metastases (4%) P<0.001. On MVA, ethical issues were associated with PRT for visceral metastases (OR 13.0; 95% CI, 2.3-74.6; P<0.001) and presence of spiritual issues (OR 4.0; 95% CI, 1.1-14.5; P=0.04). CONCLUSIONS: At least 1 in 10 referrals for PRT involve ethical issues. Further studies are warranted to assess the ability of radiation oncologists to manage ethical issues.

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)0.003
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 score0.058
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.280
GPT teacher head0.511
Teacher spread0.231 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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