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Record W4391014377 · doi:10.1093/jhps/hnad049

The relationship of pain catastrophizing with postoperative patient-reported outcome measures in adults with pre-arthritic hip disease

2024· article· en· W4391014377 on OpenAlex
Lissa Pacheco‐Brousseau, Stéphane Poitras, Marc-Antoine Ricard, Koorosh Kashanian, Sasha Carsen, Geoffrey Wilkin, George Grammatopoulos, Paul E. Beaulé

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Hip Preservation Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsChildren's Hospital of Eastern OntarioOttawa HospitalUniversity of Ottawa
FundersZimmer BiometOttawa Hospital Research Institute
KeywordsMedicineBody mass indexPhysical therapyHip arthroscopyBayesian multivariate linear regressionPain catastrophizingHip painLinear regressionChronic painSurgeryInternal medicineArthroscopy

Abstract

fetched live from OpenAlex

ABSTRACT The association between preoperative pain catastrophizing and postoperative patient-reported outcome measures of patients with pre-arthritic hip disease was evaluated. All patients scheduled for joint-preserving surgeries of the hip (JPSH) at our institution were approached. Patient demographics (age, sex, body mass index (BMI)), pain intensity (Numeric Pain Scale (NPS)) and pain catastrophizing (Pain Catastrophizing Scale (PCS)) were collected preoperatively. Patient function (12-Item International Hip Outcome Tool (iHot-12)) and physical and mental health (Patient-Reported Outcomes Measurement Information System (PROMIS-10) mental/physical) were collected preoperatively, three-month and one-year postoperatively. The analysis consisted of multivariate linear regression models fitted for continuous scores of outcome measures at three-month and one-year. Correlation between preoperative PCS and iHot-12 was assessed using the Pearson correlation coefficient. A total of 274 patients completed the PCS and were included in the multivariate linear regression models. Most patients were females (66.8%), mean age was 33 (SD 9), mean BMI was 26.5 (SD 5.8) and most were diagnosed with femoro-acetabular impingement (46.0%) and underwent arthroscopy (77.0%). There were statistically significant correlations between PCS and iHot-12 (preoperatively −0.615, P < 0.001; three-month −0.242, P = 0.002). Statistically significant associations were found for function (three-month PCS P = 0.046, age P = 0.014, NPS P = 0.043; one-year BMI P = 0.005, NPS P = 0.014), physical health (three-month BMI, P = 0.002, NPS P = 0.008; one-year BMI P = 0.002, NPS P = 0.013) and mental health (three-month BMI P = 0.047; one-year BMI P = 0.030). There is an association between function and preoperative pain catastrophizing in patients with pre-arthritic hip disease undergoing JPSH. When considering confounding variables, preoperative pain catastrophizing is associated with short-term recovery.

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)0.001
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 score0.008
Threshold uncertainty score0.296

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.050
GPT teacher head0.289
Teacher spread0.239 · 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