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Record W4404223777 · doi:10.1186/s41687-024-00810-z

Treatment decision-making factors among patients with cervical myelopathy: a discrete-choice experiment

2024· article· en· W4404223777 on OpenAlex

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

VenueJournal of Patient-Reported Outcomes · 2024
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsImpactMcMaster UniversityUniversity of TorontoHamilton General Hospital
Fundersnot available
KeywordsMyelopathyDiscrete choiceMedicinePsychologyStatisticsMathematicsPsychiatrySpinal cord

Abstract

fetched live from OpenAlex

BACKGROUND: Degenerative Cervical Myelopathy is a debilitating condition and current recommendations encourage shared decision-making between surgeons and patients. However, there is limited data on patients' values and preferences for surgical decision making. This study aimed to quantify and compare the relative importance of neurologic function, risk of future surgery, and complications to patients with cervical stenosis. METHODS: Patients with cervical stenosis presenting for surgical evaluation, or post-operative cervical decompression patients, were recruited to participate. Demographic information including modified Japanese Orthopedic Association (mJOA) score, type of surgery, and complications were recorded and anonymized to study ID. Patients then completed an online discrete-choice experiment survey. In a series of 10 questions, respondents chose between two hypothetical health states defined in terms of five attributes, or "decision factors": (i) upper extremity neurologic function, (ii) lower extremity neurologic function, (iii) risk of cervical spine surgery, (iv) dysphagia, and (v) C5 palsy. Participants were asked to choose which 'life' they preferred, and a regression model was used to quantify the importance of each decision factor. RESULTS: We report three key findings that can aid clinicians in shared decision-making conversations: (i) all patients regard lower extremity neurologic function as the most important decision factor, (ii) dysphagia, a complication, and upper extremity neurologic function are equally important, and (iii) patients who have undergone surgery weigh neurologic function as less important, and complications as more important than patients who have not undergone surgery. CONCLUSIONS: Patient preferences for management of degenerative cervical myelopathy are influenced by several considerations including the experience of surgery itself. Communication of benefits and harms associated with surgical and conservative care can optimize shared decision making. Further research should be conducted to evaluate for decisional regret and the impact of complications to inform treatment conversations.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.014
GPT teacher head0.310
Teacher spread0.296 · 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