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Record W4394860514 · doi:10.24911/biomedica/5-1138

Comparison of functional outcome of locking plate technique versus hybrid Ilizarov technique for complicated tibial plateau fractures

2024· article· en· W4394860514 on OpenAlexaff
Baqir jafree, Adeel Hamid, Shuja Uddin, Sher afghan, Shoaib saleem, Madiha Syed

Bibliographic record

VenueBIOMEDICA · 2024
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsMedicinePlateau (mathematics)Tibial plateau fractureOrthopedic surgerySurgeryOrthodonticsMathematicsInternal fixation

Abstract

fetched live from OpenAlex

This study compares the functional outcomes of two approaches, the locking plate technique and the hybrid Ilizarov technique, in managing complicated tibial plateau fractures. Enrolling 78 patients at Jinnah Hospital, the research explores a nuanced difference in results. In Group A (Hybrid Ilizarov Technique), 84.6% males and 15.4% females participated, while Group B (Locking Plate Technique) had 82.1% males and 17.9% females. The locking plate approach demonstrated superior outcomes, suggesting its efficacy in treating tibial plateau fractures. Study design: Cross sectional study. Study setting was department of Orthopedic Surgery, Jinnah Hospital Lahore Objective/purpose of the study was to evaluate the functional results of locking plate and hybrid Ilizarov procedure for tibial plateau fractures using Rasmussen's knee functional score.

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)0.001
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
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 head0.072
GPT teacher head0.398
Teacher spread0.326 · 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 designNon-randomized 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

Citations3
Published2024
Admission routes1
Has abstractyes

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Same venueBIOMEDICASame topicBone fractures and treatmentsFrench-language works237,207