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Record W2001289429 · doi:10.1155/2014/302969

Clinical and Radiographic Outcomes with a Hydroxyapatite and Porous Coated Cup Design

2014· article· en· W2001289429 on OpenAlexaboutno aff
John Wang, James DiPietro, Mathias P. Bostrom, Bryan J. Nestor, Douglas E. Padgett, Geoffrey H. Westrich

Bibliographic record

VenueAdvances in Orthopedic Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACRadiographyOsteoarthritisSurvivorship curveHarris Hip ScoreImplantSurgeryVisual analogue scaleAcetabulumTotal hip arthroplastyArthroplastyHip surgeryPopulation

Abstract

fetched live from OpenAlex

Press-fit, hydroxyapatite-coated acetabular cup designs may offer a lower incidence of loosening and migration than older designs. Our study evaluated the initial clinical and radiographic success of a cementless acetabular shell in a large cohort of primary total hip arthroplasty (THA) patients. We queried our institution’s prospectively collected registry for a series of 771 primary THAs (695 patients) implanted with this cup by 4 high-volume arthroplasty surgeons. Of the 613 hips with minimum 2-year followup, average HHS (Harris Hip Score) was 93.6, WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index) was 87.6, and VAS (Visual Analog Scale) pain score was 1.2. While there was a 2% reoperation rate (12 hips), none of the cups were revised for aseptic loosening. No radiolucencies were found and there was no evidence of acetabular loosening. At early followup, this newer cementless acetabular cup implant design exhibits high survivorship and clinical success.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.020
GPT teacher head0.291
Teacher spread0.271 · 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

Citations10
Published2014
Admission routes1
Has abstractyes

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