MétaCan
Menu
Back to cohort

Surgical management in treating periprosthetic femoral fractures after hip arthroplasty

2017· article· en· W3029143256 on OpenAlexaboutno aff
Rujun Li, Jianhao Lin, Bolong Kou, Zhenpeng Guan, Diange Zhou, Yanlin Yuan, Wei Wei, Zhichang Li, Yan Ke

Bibliographic record

VenueZhonghua guke zazhi · 2017
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePeriprostheticSurgeryFixation (population genetics)ArthroplastyHip arthroplastyInternal fixationVisual analogue scaleHarris Hip ScoreFemoral fractureFemur

Abstract

fetched live from OpenAlex

Objective To observe the clinical outcomes of the surgical management of periprosthetic femoral fractures following hip arthroplasty. Methods Twelve consecutive patients (6 male and 6 female) with the average age of 66.4±15.0 years old (35 to 86 years old) undergoing surgical operation for periprosthetic femoral fractures between September 2009 and May 2016 were followed up at our center. Nine cases were fractured secondary to the primary hip arthroplasty while the others were patients with earlier revision surgery. The previous fixations of femoral components of 10 cases were cementless while the other two were cemented fixation. The enrolled patients were determined as Vancouver type B1 (n=2), type B2 (n=7), type B3 (n=1) and type C (n=2) respectively. The occurrences of the fractures were observed at 3 weeks to 17 years post-operation (average 9.0±7.0 years). The patients were treated individually according to different Vancouver types. Type B1 patients received simple cerclage fixation, as well as revisions with long-stem femoral implants and cerclage band were chosen for type B2 patients. In addition to the treatment for type B2 patients, allogenic cortical bone graft was also required for type B3 patients. Open reduction with locking plate internal fixations were options for patients with Vancouver type C fractures. The following-up included the X-ray images of the hips, Harris hip score and the visual analogue scale (VAS) for the pain of fracture site. The unions of the fractures were determined by both X-ray images and pain intensity of the fracture sites. Results The mean follow-up period was 41.6±26.0 months (range, 12-92 months), without patient lost to follow up. VAS scores were 0, implying the clinical union of the fractures. One patients received multiple debridement post-operatively due to the periprosthetic infection. The VAS score of this patient was 6 at the follow up and the X-ray image indicated the nonunion of the fracture. The fracture union rate was 91.7% (11/12). The Harris hip score was 23-92 (mean score, 74.8±18.8), excellent for 2 cases, good for 6 cases, fair for 3 cases and poor for 1 case. The excellent and good rate was 66.7% (8/12). Post-operative complications were observed in 4 patients (33.3%, 4/12). One drainage tube was misplaced and sutured subcutaneously required a further exploration surgery. One periprosthetic infection occurring post-operatively induced the nonunion of the fracture. Aseptic loosing of femoral stem was observed in 2 cases and subsequent revision surgeries were conducted. Conclusion High incidence of complications is observed after the surgical treatment of periprosthetic femoral fractures following hip arthroplasty. Individually customized management regarding to the Vancouver type of periprosthetic femoral fractures leads to the clinical fracture union in 91.7% of the patients in this case series. The excellent and good rate of the hip function in the early and mid-term stage after operation is 66.7%. Key words: Femur; Periprosthetic fractures; Arthroplasty, replacement, hip; Fracture fixation, internal

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.014
GPT teacher head0.293
Teacher spread0.279 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueZhonghua guke zazhiSame topicOrthopaedic implants and arthroplastyFrench-language works237,207