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Record W4245407878 · doi:10.1177/112070000601604s14

A Prospective Randomized Clinical Trial Comparing Metal-On-Metal Total Hip Arthroplasty and Metal-On-Metal Total Hip Resurfacing in Patients Less than 65 Years Old

2006· article· en· W4245407878 on OpenAlexaff
Pascal‐André Vendittoli, Martin Lavigne, Alain Roy, Daniel Lusignan

Bibliographic record

VenueHip International · 2006
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineWOMACHip resurfacingSurgeryArthroplastyProspective cohort studyRandomized controlled trialTotal hip arthroplastyOsteoarthritis

Abstract

fetched live from OpenAlex

The purpose of this prospective randomised study is to compare the early clinical results of the metal-on-metal hip resurfacing to metal-on-metal THA. Two hundred and ten hips were randomised between August 2003 and January 2006 (191 subjects). One hundred and two hips were implanted with an uncemented titanium tapered stem, and an uncemented titanium acetabular component and 28 mm metal-on-metal bearing (THA group) and 103 hips received a hybrid metal-on-metal surface replacement arthroplasty (SRA group). No significant difference was found with the WOMAC or Merle dAubign-Postel scales. However, a significantly higher activity level was found in the SRA group (UCLA score 6.3 versus 7.1, p= 0.037) and a greater percentage of the SRA patients returned to heavy or moderate activities at one - year postoperatively (72% versus 39%, p=0.007). No patient in either group presented with thigh pain one year after surgery. Both techniques present similar complication rates (0.15). This study supports the theory of better functional recovery in the short-term favouring the SRA when compared to THA. The clear benefit of surface replacement arthroplasty over THA is proximal femoral bone preservation. However, the long term survivorship of the SRA will determine the real value of the theoretical advantage.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
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 head0.030
GPT teacher head0.304
Teacher spread0.275 · 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.

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

Citations66
Published2006
Admission routes1
Has abstractyes

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