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Record W1986002803 · doi:10.1007/s11999-014-3519-8

Open Reduction and Internal Fixation of Radial Head Fractures: Do Outcomes Differ Between Simple and Complex Injuries?

2014· article· en· W1986002803 on OpenAlexaff
Jeffrey M. Pike, Ruby Grewal, George S. Athwal, Kenneth J. Faber, Graham J.W. King

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2014
Typearticle
Languageen
FieldMedicine
TopicElbow and Forearm Trauma Treatment
Canadian institutionsWestern UniversitySt Joseph's Health CentreUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsMedicineRadial head fractureElbowForearmInternal fixationSurgeryReduction (mathematics)LigamentRadiographyRadial head

Abstract

fetched live from OpenAlex

BACKGROUND: Radial head fractures can occur in isolation or in association with elbow and forearm injuries. Treatment options include nonoperative management, fragment or whole-head excision, open reduction and internal fixation (ORIF), and radial head arthroplasty. However, the evidence supporting ORIF for repairable radial head fractures is inconclusive. QUESTIONS/PURPOSES: We compared patients undergoing ORIF for isolated radial head fractures or for radial head fractures associated with other fractures or elbow dislocations in terms of patient-related disability, presence of posttraumatic arthritis, complications, and rate of reoperation for capsular release. METHODS: Between 1997 and 2008, 52 patients underwent ORIF of the radial head for isolated radial head fractures (simple group) and 29 underwent ORIF for radial head fracture with an associated fracture or dislocation (complex group). General indications for ORIF included displaced radial fractures, large articular surface fragments, and greater than 2 mm of displacement and/or a mechanical block to forearm rotation or associated fractures or ligament injuries requiring surgery. Thirty-one patients (60%) in the simple group and 20 (69%) in the complex group were available for followup at a mean of 4 years (range, 1.0-9.5 years). We evaluated the patients using a validated self-reported pain and disability questionnaire (Patient-rated Elbow Evaluation [PREE]). Records review included radiographic examination and assessment of major complications and secondary surgery rates for capsular release. RESULTS: With the numbers available, the groups were not different in terms of the mean PREE scores (8 versus 15 for the simple and complex groups, respectively; p = 0.13, lower values indicate lower pain and disability). The simple and complex groups were also not different with the numbers available in terms of major complications (13% versus 25%, respectively; p = 0.29) or secondary capsular release (3% versus 20%, respectively; p = 0.07). CONCLUSIONS: At short term, we found no differences between patients treated with ORIF for isolated radial head fractures and those treated for radial head fractures in association with other elbow injuries with regard to pain and disability scores; loss to followup in this series precludes making statements with great confidence about function after these injuries. However, the substantial capsular release and complication rates should weigh into the preoperative discussion with patients before selecting ORIF for radial head fractures. LEVEL OF EVIDENCE: Level III, therapeutic study. 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 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)0.003
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.163
GPT teacher head0.503
Teacher spread0.340 · 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 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

Citations41
Published2014
Admission routes1
Has abstractyes

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