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Record W2088230826 · doi:10.1177/0961203307077989

Health-related quality of life in patients with systemic lupus erythematosus after medium to long-term follow-up of hip arthroplasty

2007· article· en· W2088230826 on OpenAlexaboutno aff
Hiroshi Ito, Takeo Matsuno, T. Hirayama, Hiromasa Tanino, Akio Minami

Bibliographic record

VenueLupus · 2007
Typearticle
Languageen
FieldMedicine
TopicBone and Joint Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACQuality of life (healthcare)OsteoarthritisArthroplastyHarris Hip ScorePopulationOrthopedic surgerySurgeryFemoral headHip surgeryInternal medicinePhysical therapy

Abstract

fetched live from OpenAlex

Health-related quality of life (HRQOL) of systemic lupus erythematosus (SLE) patients with hip arthroplasty after medium to long-term follow-up has not been reported. We conducted a retrospective study for SLE patients with osteonecrosis of the femoral head (ONF). Forty-seven consecutive arthroplasties were performed in 36 patients. Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Medical Outcome Survey Short Form 36 (SF-36) and Harris hip score were evaluated. Two patients died before the four-year follow-up and two patients were lost to follow-up. The remaining 43 hips in 32 patients with an average age at surgery of 35 years and an average follow-up of 12.0 years (range 4.0-25.0) were assessed. Bipolar hemiarthroplasty was performed for 18 hips in 12 patients, and total hip arthroplasty (THA) was performed for 25 hips in 20 patients. The mean WOMAC scores for pain and function at the recent followup were 90.8 +/- 8.5points and 79.0 +/- 18.3 points. Patients with THA had significantly high scores in SF-36 physical functioning (P < 0.05) and bodily pain (P < 0.03) compared to those with bipolar hemiarthroplasty. Although improvement could not reach the level of general population, the hip arthroplasty contributed to support HRQOL of SLE patients.

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)0.005
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.016
GPT teacher head0.270
Teacher spread0.254 · 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

Citations27
Published2007
Admission routes1
Has abstractyes

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