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Record W4393055924 · doi:10.3390/jpm14030329

Functional Status Correlates of Change and Stability in Appraisal after Spine Surgery: Earlier versus Later Effects

2024· article· en· W4393055924 on OpenAlexaff
Carolyn E. Schwartz, Katrina Borowiec, Bruce D. Rapkin, Joel Finkelstein

Bibliographic record

VenueJournal of Personalized Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsCognitive appraisalMedicinePhysical therapyPsychological interventionPhysical medicine and rehabilitationOswestry Disability IndexQuality of life (healthcare)Prospective cohort studyCohort studyCohortCognitionSurgeryPsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

Spine surgery generally yields a notable improvement in patients' health state, and there is variability in measured patient outcomes after spine surgery. The present work aimed to describe for clinicians how appraisal underlies their patients' experience of healthcare interventions. This prospective longitudinal cohort study (n = 156) included adults undergoing spine surgery for degenerative spinal conditions. The analysis was a descriptive illustration of the relationship between change in the spine-related disability using the Oswestry Disability Index and change in cognitive-appraisal processes using the Quality-of-Life Appraisal Profilev2-Short Form, early versus later during the recovery trajectory (i.e., between baseline and 3 months post-surgery; and between 3 and 12 months post-surgery). Cognitive-appraisal processes related to Sampling of Experience showed greater change soon after surgery, whereas Standards of Comparison appraisals changed more later in the recovery trajectory. Different appraisal processes were emphasized by patients who reported worsening of the spine-related disability, as compared to those who reported no change or improvement. These findings suggest that changes in appraisal differ depending on the individual's experience of the impact of spine surgery. Appraisal processes thus reflect an ongoing dynamic in adaptation to changing function.

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)0.002
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 score0.126
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0010.000

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 head0.044
GPT teacher head0.322
Teacher spread0.278 · 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
Published2024
Admission routes1
Has abstractyes

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