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Record W4390713351 · doi:10.23880/jobd-16000248

Does the Method of Fixation Affect the Risk of Complications in Patients with Pauwels Type 3, Displaced Intracapsular Femoral Fractures

2023· article· en· W4390713351 on OpenAlexaff
Shai Factor

Bibliographic record

VenueJournal of Orthopedics & Bone Disorders · 2023
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineAvascular necrosisNonunionSurgeryInternal fixationIncidence (geometry)Femoral neckFixation (population genetics)RadiographyRetrospective cohort studyFemoral headInternal medicineOsteoporosisPopulation

Abstract

fetched live from OpenAlex

Background: Patients with Pauwels type III displaced intracapsular femoral fractures (DICFF) are at a high risk of developing avascular necrosis (AVN) and non-union following closed reduction and internal fixation (CRIF). We compared the complications between the Targon femoral neck (TFN) plate and the cannulated cancellous screws (CCS). Methods: This retrospective study reviewed the records of 34 patients younger than 65 years of age who underwent CRIF of Pauwels type III DICFF from January 2007 to January 2018. Patients were evaluated for demographic data as well as the fixation method. Subsequent postoperative radiographs were obtained to assess the incidence of AVN and nonunion. Results: 34 patients were included in the study, of which, 18 (53%) and 16 (47%) were treated using TFN and CCS, respectively There were no significant differences observed between the CCS and TFN cohorts in terms of age (p = 0.90), gender (p = 0.27), time to surgery (p = 0.36), and duration of surgery (p = 0.99). The incidence of AVN and non-union did not significantly differ between the groups, with rates of 38.9% and 43.8%, respectively (p = 0.083) Conclusions: The type of fixation utilized, whether CCS or TFN, did not have a significant impact on the incidence of treatment failure in patients with Pauwels type III fractures treated via CRIF

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)0.001
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 score0.018
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.298
Teacher spread0.291 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Orthopedics & Bone DisordersSame topicHip and Femur FracturesFrench-language works237,207