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Record W4417236155 · doi:10.21608/ejhm.2025.468423

Comparative Randomized Study of The Outcome of Single versus Two Stage Revision for Prosthetic Hip Infection

2025· article· en· W4417236155 on OpenAlexaboutno aff

Bibliographic record

VenueThe Egyptian Journal of Hospital Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsWOMACPeriprostheticHarris Hip ScoreRadiological weaponOsteoarthritisRandomized controlled trialArthroplastyComplication

Abstract

fetched live from OpenAlex

Background: Continuous debates persist on the gold standard approach for managing periprosthetic joint infection (PJI) following total hip arthroplasty (THA). Objective: This study aimed to compare the outcomes of single-stage revision versus two-stage revision for PJI after THA. Patients and methods: 40 patients were included in this study with minimum duration of follow-up of 12 months. The patients were divided into two equal groups. Group A (n=20): Single-stage revision THA. Group B (n=20): Two-stage revision THA. Infection eradication, Harris hip score (HHS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, radiological evaluation and complications were compared between the two groups. Results: There was one case of reinfection, which occurred in group B. In group A, the mean HHS was 91.70 ± 3.79 and mean WOMAC score 9.95 ± 3.78. In group B, scores were lower with mean HHS of 88.85 ± 5.31 and mean WOMAC score 15.90 ± 7.32 and complication rates were higher. There were no significant differences in radiographic outcome between the groups. Conclusion: The single-stage revision was associated with several advantages, including shorter hospital stays, reduced duration of antibiotic therapy and superior functional outcomes as well as more efficient recovery.

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)0.003
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.045
GPT teacher head0.379
Teacher spread0.334 · 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 designRandomized trial
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
Published2025
Admission routes1
Has abstractyes

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Same venueThe Egyptian Journal of Hospital MedicineSame topicOrthopedic Infections and TreatmentsFrench-language works237,207