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Record W2412012086 · doi:10.55095/achot2013/055

Intra-Operative Periprosthetic Fractures during THA in the Period 1995-2009

2013· article· en· W2412012086 on OpenAlexaboutno aff
Tania Lena, Valér Džupa, Libor Luňáček, Vladimír Frič, R Koštál, Martin Krbec

Bibliographic record

VenueActa chirurgiae orthopaedicae et traumatologiae Cechoslovaca · 2013
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsPeriprostheticMedicineTotal hip arthroplastySurgeryStatistical significanceIncidence (geometry)Greater trochanterProspective cohort studyArthroplastyFemurInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF THE STUDY: The aim of this prospective study was to investigate whether female gender and revision surgery were significant risk factors for intra-operative periprosthetic fractures during total hip arthroplasty (THA). MATERIAL AND METHODS: The group investigated comprised the patients who, in the period 1995-2009, sustained an intra-operative periprosthetic fracture during primary or revision THA. The patients were treated by a therapeutic procedure based on the Vancouver system. The results were related to the total number of patients undergoing THA in that period, Statistical analysis was performed using Pearson's x2 test at the 5% significance level. RESULTS: Intra-operative periprosthetic fractures occurred in 110 patients (89 women, 21 men). The average age of the patients was 69 years (70 in women and 62 in men). The women significantly outnumbered the men (p < 0.001). In the period under study, 2936 primary and 791 revision THAs were performed; the incidence of all intra-operative fractures was 3%. Intra-operative fractures during primary THA were recorded in 95 patients (3.2%; range in individual years, 0.4 to 5.9%); fractures during revision THA were found in 15 patients (1.9%; range, 0 to 8.0%). This difference was slightly above the set significance level (p = 0.057). The majority of intra-operative fractures were minimal Vancouver type-A fractures in the greater trochanter region. They were recorded in 95 of the 110 patients (86%) with either primary or revision THA. Of the 15 type-B fractures, eight were shown by a detailed evaluation to occur during revision THA. An independent analysis of type-B fractures in relation to all replacements showed that their occurrence was significantly higher in revision than in primary THA (p = 0.006). DISCUSSION Intra-operative periprosthetic fractures have primarily been studied in terms of their frequency and the cause of their occurrence. Revision surgery and female gender are regarded as risk and predisposing factors. Our results, in accordance with other relevant data, confirmed that serious intra-operative type-B fracture occurred more frequently during revision THA than during primary surgery. It further showed a significantly higher number of periprosthetic fractures in women than in men. However, this finding is affected by the fact that women in general undergo more THAs than men and that the female median life span is longer. The authors consider a careful pre-operative planning and thorough evaluation of all risk factors related to surgery as basic preventive measures. CONCLUSIONS This continuous 15-year study on patients with intra-operative periprosthetic fractures of the hip has allowed us to conclude that these fractures occur more frequently in women than in men, and that more serious fractures (Vancouver type-B) are significantly more frequent during revision than primary THA. The higher incidence in women is, to a great part, accounted for by osteoporosis of the skeleton in elderly people. In revision THA, poor bone quality plays a role as well as osteolysis due to polyethylene granuloma which may be present.

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)0.002
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 score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.277
Teacher spread0.266 · 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".

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Citations8
Published2013
Admission routes1
Has abstractyes

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Same venueActa chirurgiae orthopaedicae et traumatologiae CechoslovacaSame topicOrthopaedic implants and arthroplastyFrench-language works237,207