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Record W4417450881 · doi:10.17615/eryx-a756

Distal Radius Interventions for Fracture Treatment (DRIFT) trial: study protocol for a multicentre randomised clinical trial of completely translated distal radius fractures at paediatric hospitals in North America

2025· article· W4417450881 on OpenAlexaboutno aff
Frank W. Rockhold, Mauricio Silva, Christina K. Hardesty, Theodore J. Ganley, Jamie Burgess, Dorothy H. Beauvais, Erika Daley, R.C. Thompson, Henry Ellis, Melinda S. Sharkey, Ryan Fitzgerald, Selina Silva, Jason Rhodes, Alice Chu, Christine A. Ho, Jesse DeLaRosa, Ron El‐Hawary, John S. Vorhies, Andrea Chan, J. Todd R. Lawrence, Jeanne M. Franzone, Steven L. Frick, Neil Kaushal, Emily R. Dodwell, Karim Masrouha, Dominic Gargiulo, Mary Bailey, Anthony A Cantanzano, R. Jay Lee, Khristinn Kellie Leitch, Daniel C. Perry, Collin May, Wendy Ramalingam, Rachel Y. Goldstein, Candace Young, Jacob F. Schulz, Stuart L. Mitchell, Walter H. Truong, Luke Gauthier, Mohan V. Belthur, Jaysson T. Brooks, Monica Lizano, Andrew Howard, Matthew F. Halsey, James G. Wright, Joseph A. Janicki, Natasha O’Malley, Julia S. Sanders, Karen Chiswell, Andrew G. Georgiadis, Apurva S. Shah, Corey S. Gill

Bibliographic record

VenueUNC Libraries · 2025
Typearticle
Language
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsEmergency departmentDistal radius fracturePsychological interventionRandomized controlled trialClinical trialReduction (mathematics)SedationProtocol (science)Sample size determinationMinimal clinically important difference

Abstract

fetched live from OpenAlex

Distal radius fractures are the most common fractures seen in the emergency department in children in the USA. However, no established or standardised guidelines exist for the optimal management of completely displaced fractures in younger children. The proposed multicentre randomised trial will compare functional outcomes between children treated with fracture reduction under sedation versus children treated with simple immobilisation. Participants aged 4–10 years presenting to the emergency department with 100% dorsally translated metaphyseal fractures of the radius less than 5 cm from the distal radial physis will be recruited for the study. Those patients with open fractures, other ipsilateral arm fractures (excluding ulna), pathologic fractures, bone diseases, or neuromuscular or metabolic conditions will be excluded. Participants who agree to enrol in the trial will be randomly assigned via a minimal sufficient balance algorithm to either sedated reduction or in situ immobilisation. A sample size of 167 participants per arm will provide at least 90% power to detect a difference in the primary outcome of Patient-Reported Outcomes Measurement Information System Upper Extremity computer adaptive test scores of 4 points at 1 year from treatment. Primary analyses will employ a linear mixed model to estimate the treatment effect at 1 year. Secondary outcomes include additional measures of perceived pain, complications, radiographic angulation, satisfaction and additional procedures (revisions, refractures, reductions and reoperations). Ethical approval was obtained from the following local Institutional Review Boards: Advarra, serving as the single Institutional Review Board, approved the study (Pro00062090) in April 2022. The Hospital for Sick Children (Toronto, ON, Canada) did not rely on Advarra and received separate approval from their local Research Ethics Board (REB; REB number: 1000079992) on 19 July 2023. Results will be disseminated through publication in peer-reviewed journals and presentations at international conference meetings. NCT05131685.

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)0.022
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.081
Threshold uncertainty score0.272

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.023
Meta-epidemiology (narrow)0.0060.003
Meta-epidemiology (broad)0.0080.004
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0810.017

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 head0.060
GPT teacher head0.408
Teacher spread0.347 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations0
Published2025
Admission routes1
Has abstractyes

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