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Record W1989124258 · doi:10.1097/bot.0b013e318220af4f

Early Radial Head Excision for Displaced and Comminuted Radial Head Fractures

2011· article· en· W1989124258 on OpenAlexaff
Cesare Faldini, Matteo Nanni, Danilo Leonetti, Paola Capra, Marco Bonomo, Valentina Persiani, Claudio Galante, Sandro Giannini

Bibliographic record

VenueJournal of Orthopaedic Trauma · 2011
Typearticle
Languageen
FieldMedicine
TopicElbow and Forearm Trauma Treatment
Canadian institutionsObject Research Systems (Canada)
Fundersnot available
KeywordsMedicineRadial headHead (geology)Radial head fractureSurgeryElbow

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of this study is to retrospectively review the outcomes of patients with comminuted radial head fractures surgically treated with early radial head excision. DESIGN: Retrospective follow-up study. SETTING: University orthopaedic trauma center. PATIENTS: Forty-two patients with unilateral, isolated, closed, displaced, or comminuted radial head fracture (Mason type 2-10, Type 3-32). INTERVENTION: Early radial head excision. MAIN OUTCOME MEASUREMENTS: Patients were clinically and radiographically evaluated at an average follow-up of 18 years. The uninjured contralateral limb was used as a comparison. Clinical evaluation was rated using the Broberg and Morrey system, the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire, and the visual analog scale (VAS) for pain. RESULTS: At last follow-up, 36 patients had no complaints, whereas six admitted to occasional pain. The mean Broberg and Morrey score was 91.2 ± 6.3, and the mean Disabilities of the Arm, Shoulder and Hand score was 10.1 ± 8.8. CONCLUSION: Early radial head excision represents a viable option in case of displaced and comminuted fractures. According to the results of this study, it demonstrated a high rate of good results and patient satisfaction, a quick recovery after surgery, and a low rate of complications with durable results at long-term follow-up. LEVEL OF EVIDENCE: Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.052
GPT teacher head0.314
Teacher spread0.262 · 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

Citations39
Published2011
Admission routes1
Has abstractyes

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