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Record W3153775565 · doi:10.1016/j.arthro.2021.03.061

Salvage Revision Hip Arthroscopy Including Remplissage Improves Patient‐Reported Outcomes After Cam Over‐Resection

2021· article· en· W3153775565 on OpenAlexaboutno aff
Justin W. Arner, Joseph J. Ruzbarsky, Rui Soares, Karen K. Briggs, Marc J. Philippon

Bibliographic record

VenueArthroscopy The Journal of Arthroscopic and Related Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMinimal clinically important differenceWOMACOsteoarthritisSurgeryHip arthroscopyPatient satisfactionQuality of life (healthcare)Statistical significanceArthroscopyPhysical therapyRandomized controlled trialInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate outcomes of arthroscopic hip remplissage with folded iliotibial band allograft to treat cam over-resection. METHODS: Patients who underwent arthroscopic iliotibial band hip remplissage from May 2013 to April 2018 were prospectively evaluated. Pre- and postoperative patient-reported outcome scores were compared and included the 12-Item Short Form Survey (SF12) Physical Health Composite Score (PCS), SF12 Mental Health Composite Score (MCS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), modified Harris Hip Score (mHHS), and Hip Outcome Score (HOS) (Activities of Daily Living [ADL] and Sport). Postoperative Tegner Activity Scale and patient satisfaction (1-10) were also evaluated. RESULTS: Thirteen patients (2 men, 11 women) with an average age of 39.8 ± 9 years underwent arthroscopic hip remplissage with minimum 2-year and mean 3.1-year follow-up (range, 2.1-4.1 years). One hundred percent follow-up was achieved. The average number of previous surgeries was 1.38 (range, 1-3). One patient underwent total hip arthroplasty 2 years after remplissage. All 12 patients who did not undergo total hip arthroplasty had improved patient-reported outcomes after remplissage (mean scores: SF12 PCS 36 vs 42, P = .02; SF12 MCS 45 vs 51, P = .14; mHHS 45 vs 66, P < .001; minimal clinically important difference [MCID] 83%; WOMAC 42 vs 28, P < .001; HOS ADL 52 vs 69, P = .003; MCID, 67%; HOS Sport 27 vs 46, P = .015; MCID, 67%). All improvements met statistical significance, besides the SF12 MCS. Median postoperative Tegner score was 2.9. Median postoperative patient satisfaction was 7 out of 10 (range, 5-10). CONCLUSIONS: Arthroscopic hip remplissage is a successful salvage treatment option for hip instability caused by previous cam over-resection. Care must be taken during primary surgery not to over-resect the cam as patient-reported outcomes after remplissage are inferior to those undergoing primary hip arthroscopy. LEVEL OF EVIDENCE: Level IV, case series.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.016
GPT teacher head0.289
Teacher spread0.273 · 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

Citations24
Published2021
Admission routes1
Has abstractyes

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