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Record W2247192109

대퇴골 경부 골절에서 다발성 나사못을 이용한 내고정술 실패 후 시행한 인공 고관절 전치환술의 결과

2015· article· ko· W2247192109 on OpenAlexaboutno aff
김민철, 박경순, 윤택림

Bibliographic record

Venue대한정형외과학회지 · 2015
Typearticle
Languageko
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal fixationCrutchSurgeryFemoral neckRadiological weaponHarris Hip ScoreArthroplastyOsteoporosisInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Purpose: The purpose of this study is to analyze the result of secondary total hip arthroplasty (THA) after primary internal fixation failure in femoral neck fracture patients and compare the results with primary THA for femoral neck fracture. Materials and Methods: Among the femoral neck fracture patients, we analyzed clininal and radiologic results of those who underwent secondary THA after internal fixation failure and those who underwent THA as early treatment. Cases with patients over age 40 years and with at least two year of follow-up period were used for analysis. Periopertive conditions of patients were evaluated by using surgery time, bleeding amounts and period to start gait using walker or crutch after surgery. Clinical results were assessed by using Harris hip score and Western Ontario and McMaster Universities Osteoarthritis Index, and radiologic results were derived by observing follow-up simpe X-ray. Results: The group of secondary THA had longer surgery time, more bleeding amount and longer period to start gait. But between the two groups, there was no difference of clinical and radiologic result at final follwing up. Both of two group had excellent clinical and radiological results. Conclusion: THA after internal fixation showed excellent clinical and radiologic results that was comparable to compare with primary THA.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.316
Teacher spread0.272 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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