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Record W4414145033 · doi:10.1016/j.jposna.2025.100267

Surgical and Conservative Management are Both Effective for Pediatric Both Bone Forearm Fractures: A Systematic Review and Meta-Analysis

2025· review· en· W4414145033 on OpenAlexaff
Ojasvi Sharma, Denia Hamidi, Isabella Bozzo, Khaled Alrajhi, Mitchell Bernstein

Bibliographic record

VenueJournal of the Pediatric Orthopaedic Society of North America · 2025
Typereview
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsConservative managementConservative treatmentMEDLINEForearmSoft tissue

Abstract

fetched live from OpenAlex

< .001). Despite this, union rates were 100% in both groups. Both conservative and surgical management of pediatric BBFFs yielded high union rates and excellent functional outcomes. Surgical treatment demonstrated lower complication and redisplacement rates but was associated with a longer time to union. These findings suggest that surgical treatment may be preferable for reducing redisplacement and the need for additional interventions in older children with reduced remodeling potential. Key Concepts: (1)Both conservative and surgical treatment of pediatric both bone forearm fractures result in excellent functional outcomes and 100% union rates, which supports the effectiveness of both approaches in skeletally immature patients.(2)Surgical management is associated with significantly lower rates of redisplacement (3% vs 26%) as well as lower need for additional interventions (5% vs 14%) compared to conservative treatment, highlighting its benefit in maintaining fracture stability.(3)Although the time to union was longer with surgical treatment (8.26 vs 6.50 weeks), this did not negatively impact final functional outcomes.(4)Age-related remodeling potential remains a key determinant in treatment selection, with conservative treatment more suitable for younger children and surgical treatment preferable in older children with diminished remodeling capacity. Level of Evidence: III.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.770
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0120.014
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.324
Teacher spread0.302 · 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.

Study designMeta-analysis
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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

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