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Record W4400589900 · doi:10.25259/jmsr_90_2024

Evaluation of total hip arthroplasty for management of acetabular fracture complications: A prospective cohort study

2024· article· en· W4400589900 on OpenAlexaboutno aff
Mohamed Abdelmoneim, Hany Farid, Ashraf Abd El-Kader Elnahal

Bibliographic record

VenueJournal of Musculoskeletal Surgery and Research · 2024
Typearticle
Languageen
FieldMedicine
TopicPelvic and Acetabular Injuries
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcetabular fractureProspective cohort studyTotal hip arthroplastyArthroplastyHip fractureCohortAcetabulumCohort studySurgeryInternal medicineOsteoporosis

Abstract

fetched live from OpenAlex

Objectives: Total hip arthroplasty (THA) has been recommended as an effective tool for restoring joint function. This study aimed to evaluate the functional and clinical outcomes of THA management of acetabular fracture late complications such as arthritis by both Harris-Hip Score (HHS) and Western Ontario McMaster Osteoarthritis Index (WOMAC) score, anticipate, and prevent the most common complications such as infection and dislocation. Methods: This prospective case series included 30 patients with THA to manage acetabular fracture complications such as arthritis. The study started in November 2021 and ended in September 2023. Inclusion criteria were patients with acetabular fractures with secondary arthritis (pre-existing osteoarthritis were excluded) aged 25– 70 and who had at least 1 year from fracture to arthroplasty. Exclusion criteria were patients with a history of previous infection. Results: Heterotopic ossification (HO) improved statistically significantly after using ketorolac at an 18-month follow-up compared to preoperatively. Using both the HHS and WOMAC scores, a statistically significant difference was found between pre-operative and post-operative functional outcomes for estimating HO development using radiographs. Conclusion: THA was safe and effective in managing late acetabular fracture complications. Ketorolac use showed promising results in prophylaxis against HO.

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)0.011
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.293
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
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 science0.0000.000
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 head0.058
GPT teacher head0.417
Teacher spread0.358 · 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.

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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Musculoskeletal Surgery and ResearchSame topicPelvic and Acetabular InjuriesFrench-language works237,207