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Record W7033343869

Patient Preferences for Adjuvant Treatment in Muscle-Invasive Urothelial Carcinoma: A Multi-Country Discrete Choice Experiment

2023· article· en· W7033343869 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsUrothelial carcinomaUrothelial cancerAdjuvantPropensity score matchingProstate cancerCancerPreference
DOInot available

Abstract

fetched live from OpenAlex

Kristen King-Concialdi,1 Kathleen Beusterien,1 Steven S Senglaub,1 Oliver Will,1 Dena H Jaffe,1 Miraj Y Patel,2 Michael R Harrison3 1Real-World Evidence, Cerner Enviza, an Oracle Company, North Kansas City, MO, USA; 2Health Economics and Outcomes Research, Bristol Myers Squibb, Princeton, NJ, USA; 3Duke Cancer Institute Center for Prostate and Urologic Cancers, Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USACorrespondence: Steven S Senglaub, Real-World Evidence, Cerner Enviza, an Oracle Company, 2800 Rock Creek Parkway, North Kansas City, MO, 64117, USA, Tel +1 816 201 1198, Email steven.senglaub@cernerenviza.comPurpose: The evolving treatment landscape in muscle-invasive urothelial carcinoma creates challenges for clinicians and patients in selecting the most appropriate therapy. Here, we aimed to understand adjuvant treatment preferences among patients with muscle-invasive urothelial carcinoma who underwent radical resection, including tradeoffs between efficacy outcomes and toxicity risks.Patients and Methods: An observational, cross-sectional study utilizing a discrete choice experiment was conducted across the United States, United Kingdom, Canada, France, and Germany via a web-based survey. Patients ≥ 18 years of age who self-reported as having been diagnosed with muscle-invasive urothelial carcinoma were included. Patients indicated their preferences between hypothetical treatment profiles varying in eight attributes relating to efficacy, regimen, and side effects. Preference weights were estimated using hierarchical Bayesian logistic regression; relative attribute importance estimates were calculated.Results: Overall, 207 patients were included (age ≥ 56 years, 65.7%; male, 54.1%). Patients chose adjuvant treatment 91.2% of the time vs no treatment. Prolonging overall survival from 25 to 78 months was most important, followed by reducing serious side effect risks. Increasing disease-free survival from 12 to 24 months was more important than decreasing risks of fatigue from 54% to 15% and nausea from 53% to 7%. Treatment with the shortest dosing regimen was more important for patients who received neoadjuvant chemotherapy vs patients who did not receive neoadjuvant chemotherapy; prolonging overall survival was more important than reducing the risk of a serious side effect in non-US patients; the opposite was found in the United States.Conclusion: Patients with muscle-invasive urothelial carcinoma who underwent radical resection preferred adjuvant treatment over no treatment regardless of side effects. Patients prioritized overall survival improvements followed by a reduced side effect profile.Keywords: bladder cancer, discrete choice experiment, muscle-invasive urothelial carcinoma, patient treatment preferences

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.253
GPT teacher head0.524
Teacher spread0.270 · 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.

Study designBench or experimental
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

Citations0
Published2023
Admission routes1
Has abstractyes

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