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Record W4400063473 · doi:10.2147/orr.s472482

Clinical Outcomes and Management Strategies for Capitellum and Trochlea Fractures: A Systematic Review

2024· review· en· W4400063473 on OpenAlexaff
Ali Lari, Yasmen Alrumaidhi, Diego Martinez, Amaar Ahmad, Hamad Aljuwaied, Mohammad Alherz, Carlos Prada

Bibliographic record

VenueOrthopedic Research and Reviews · 2024
Typereview
Languageen
FieldMedicine
TopicElbow and Forearm Trauma Treatment
Canadian institutionsSt Joseph's Health CareWestern University
Fundersnot available
KeywordsMedicineOrthodonticsGeneral surgery

Abstract

fetched live from OpenAlex

Purpose: Capitellum and trochlea fractures, also referred to as coronal shear fractures of the distal humerus, are infrequent yet challenging intra-articular fractures of the elbow. There are a variety of surgical approaches and fixation methods with often variable outcomes. This systematic review investigates interventions, outcomes and complications of capitellum and trochlea fractures. Methods: A systematic review of studies published in MEDLINE, EMBASE, Web of Science and Cumulative Index to Nursing and Allied Health literature (CINAHL) was conducted to assess the clinical outcomes of capitellum and trochlea fractures managed surgically. Data on patient demographics, surgical approach, implant usage, postoperative outcomes and complications were compiled. Results: Forty-one studies met the inclusion criteria with a total of 700 patients. Surgical interventions primarily utilized either the lateral (79%) or antero-lateral (15%) approaches with headless compression screws as the most common fixation method (68%). Clinical outcomes were measured using the Mayo Elbow Performance Index (MEPI) with a mean score of 89.9 (±2.6) and the DASH score with a mean of 16.9 (±7.3). Elbow range of motion showed a mean flexion of 126.3° (±19.4), extension of 5.71° (±11.8), pronation of 75.23° (±12.2), and supination of 76.6° (±9.8). The mean flexion-extension arc was 113.7° (±16.9), and the mean pronation-supination arc was 165.31° (±9.41). Complications occurred in 19.8% of cases, with re-interventions required in 8.3% of cases, mainly due to symptomatic implants and elbow stiffness requiring surgical release. Other complications included implant removal (10.4%), overall reported stiff elbows (6%), nerve palsies (2%), non-union (1.5%), and infection (1.2%). Conclusion: The treatment of capitellum and trochlea fractures yields satisfactory outcomes but has a considerable rate of complications and reoperations primarily due to symptomatic implants and elbow stiffness. There is noteworthy variability in the achieved range of motion, suggesting unpredictable outcomes. Deficits in functionality and range of motion are common after surgery, especially with more complex injury patterns.

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)0.005
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0100.010
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.287
GPT teacher head0.559
Teacher spread0.272 · 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 designSystematic review
Domainnot available
GenreReview

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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