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Record W4415456376 · doi:10.3390/jcm14217488

Is There Agreement Between Clinical Outcomes as Perceived by the Surgeon and the Patient in Revision Total Hip Arthroplasty?

2025· article· en· W4415456376 on OpenAlexaboutno aff
Víctor Casas-Gallego, Miguel Á. Ortega, Basilio José De La Torre-Escuredo

Bibliographic record

VenueJournal of Clinical Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
FundersComunidad de Madrid
KeywordsTotal hip arthroplastyObservational studyPerspective (graphical)Total hip replacementOsteoarthritisHarris Hip ScoreRetrospective cohort study

Abstract

fetched live from OpenAlex

Objectives: Revision total hip arthroplasty (rTHA) is a complex surgery with variable functional outcomes that often differ between the surgeon’s perception and the patient’s experience. Therefore, the aim of this study is, first, to evaluate functional outcomes based on the reason for revision, type of revision, acetabular defect, and number of prior revision surgeries; and second, to compare outcomes from both the surgeon’s and the patient’s perspectives to determine whether or not there is agreement between them. Materials and Methods: An observational study was conducted on patients who underwent rTHA at a tertiary-level center from January 2013 to December 2018, with a median follow-up of 41 months. A total of 149 procedures were performed during this period. The variables analyzed included the indication for revision surgery, type of revision, presence of acetabular defect, and number of previous revision surgeries. The surgeon’s perspective was assessed using the Harris Hip Score (HHS), while the patient’s perspective was evaluated using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and the Short Form-12 Health Survey (SF-12). Results: Analysis of the variables from both surgeon’s and patient’s perspectives showed statistically significant differences regarding the indication for revision and the SF-12 component, with patients undergoing revision for infection or dislocation reporting worse functional outcomes. Although the remaining variables did not reach statistical significance, the surgeon perceived worse outcomes in patients revised for infection and in those who underwent revision of both components (acetabular and femoral). Conversely, patients reported poorer functional outcomes when operated on for infection or dislocation, when both components were revised, and when they had undergone more than one revision surgery. Additionally, a statistically significant trend was observed showing worse outcomes with increasing anesthetic risk. Linear regression analysis between the surgeon’s evaluation and the patient-reported outcome measures showed a statistically significant association, indicating that higher surgeon scores correlated with fewer symptoms and better hip function as reported by patients. Conclusion: There was concordance between the surgeon’s evaluation, measured by the Harris Hip Score (HHS), and the patient’s perception of health status through PROMs, specifically the SF-12 and WOMAC questionnaires. Although overall results were satisfactory regardless of the reason for the revision, type of revision, defect grade, or number of revisions; outcomes were slightly worse in patients revised for dislocation or infection, those undergoing revisions of both components, and in cases involving multiple revision surgeries.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.051
GPT teacher head0.405
Teacher spread0.354 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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