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Record W7100043824

Hospital Course and Early Clinical Outcomes of Two-incision

2015· article· en· W7100043824 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOrigins and Evolution of Life
Canadian institutionsnot available
Fundersnot available
KeywordsBlood lossHarris Hip ScoreTotal hip arthroplastyBody mass indexQuality of life (healthcare)OsteoarthritisArthroplastyHip fracture
DOInot available

Abstract

fetched live from OpenAlex

Background: Minimally invasive total hip arthroplasty has been reported to have a better functional recovery by minimizing soft tissue trauma as compared with the conventional approach. This study analyzed the hospital course and early clinical outcomes of a series of 63 two-incision total hip arthroplasties. Methods: Sixty patients (63 hips) were enrolled between September 2003 and July 2004 and followed for two years. Preoperatively, demographic data, body mass index, and diagnosis were recorded. Hip function and quality of life were assessed using the Harris hip score and the Western Ontario and McMaster University Osteoarthritis Index (WOMAC). Results: The mean operating time, blood loss, wound length, and hospital stay were 151 minutes, 700 ml, 9.9 cm, and 5 days, respectively. The mean cup abduc-tion angles were 42.9 ° and the mean cup anteversion angles were 17.9°. Transient lateral femoral cutaneous nerve injuries occurred in 15.9 % of cases. Intraoperative femoral fracture occurred in 2 cases and superficial wound infection occurred in 1 case. Despite these incidents, overall results

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.998
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.356
Teacher spread0.324 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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