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Record W4412728115 · doi:10.1002/ohn.1364

Patient Perspectives of Quality Compared to Quantity of Life Regarding Orbital Exenteration

2025· article· en· W4412728115 on OpenAlexaff
Kalpesh Hathi, Colin Mackay, Robyn Jane Macfarlane, S. Mark Taylor

Bibliographic record

VenueOtolaryngology · 2025
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsDalhousie University
Fundersnot available
KeywordsQuality (philosophy)Quality of life (healthcare)MedicineNursingPhysics

Abstract

fetched live from OpenAlex

OBJECTIVE: Orbital exenteration (OE) impacts patients cosmetically, functionally, and psychosocially. Eye-sparing strategies with the advent of immunotherapy have developed the potential to avoid OE but may result in suboptimal oncologic outcomes and reduced survival. This study assesses patients' perceptions regarding quantity versus quality of life when considering OE compared to alternative treatment modalities. STUDY DESIGN: Mixed-methods study, utilizing quantitative health utility tasks and qualitative patient interviews. SETTING: Tertiary care center. METHODS: Fifty-one patients previously treated for head or neck cutaneous malignancies completed interviews utilizing well-established methodology to assess health state utility values (HSUVs) through time trade-off and standard gamble tasks. This methodology assessed the level of risk patients would be willing to accept to avoid OE in the context of alternate treatment options. Open-ended discussions regarding factors influencing decision-making facilitated an inductive qualitative analysis highlighting patient priorities. RESULTS: Patients were willing to accept 40.6% ± 28.7% risk of death or give up 3.2 ± 2.8 years of survival to avoid OE. This translated to an HSUV for OE of 0.68. The main factors influencing treatment decisions were (1) family, (2) healthcare perceptions, (3) age, (4) social consequences, and (5) risk tolerance. CONCLUSION: The consequences of OE on patients' quality of life impact their decision-making. Patients may be willing to accept relatively high levels of risk to avoid OE. This highlights the importance of eye-sparing strategies and shared decision-making to ensure patient-centered care, which may not be solely prioritized to survival when it comes to OE.

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)0.000
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 score0.090
Threshold uncertainty score0.316

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.018
GPT teacher head0.313
Teacher spread0.294 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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