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Record W4393343295 · doi:10.1007/s00402-024-05287-5

Health-related quality of life (EQ-5D) after revision arthroplasty following periprosthetic femoral fractures Vancouver B2 and B3 in geriatric trauma patients

2024· article· en· W4393343295 on OpenAlexaboutno aff
Melina Pavlović, Christopher Bliemel, Vanessa Ketter, Julia Lenz, Steffen Ruchholtz, Daphne Eschbach

Bibliographic record

VenueArchives of Orthopaedic and Trauma Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
FundersPhilipps-Universität Marburg
KeywordsMedicinePeriprostheticGeriatric traumaOrthopedic surgeryQuality of life (healthcare)ArthroplastyDemographicsSurgeryComplicationTrauma centerRetrospective cohort studyEmergency medicineInjury Severity ScorePoison controlInjury preventionNursing

Abstract

fetched live from OpenAlex

INTRODUCTION: The aim of this study was to determine the outcome parameters of revision arthroplasties for periprosthetic femoral fractures (PPFF) with a particular attention to quality of life (QoL) and mobility. MATERIALS AND METHODS: Retrospective single-center study of PPFF with loose implants that underwent revision arthroplasty. Depending on individual patient characteristics, either an uncemented or cemented revision stem was chosen. Data collection included demographics, complications, clinical course and outcome parameters. Follow-up took place at least one year postoperatively. RESULTS: Between 2008 and 2016, 43 patients could be included. Most patients (63%) were able to walk independently or with a walking aid after one year and amongst the surveyed patients 77% were able to reside at home. Concerning the QoL assessment, a high index of 0.8 ± 0.1 has been reached after one year. Mortality pointed out to be 9% after one year and 28% in general. CONCLUSION: The treatment of PPFF remains challenging. Although complication rates and mortality are high in this frail collective of geriatric patients, revision arthroplasty leads to good postoperative results regarding mobility and quality of life.

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)0.001
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.024
GPT teacher head0.266
Teacher spread0.243 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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