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Record W4412604824 · doi:10.1097/bpo.0000000000003009

3D-Printed Casts Improve Patient-Reported Function and Satisfaction in Children With Stable Fracture Patterns

2025· article· en· W4412604824 on OpenAlexaboutno aff
Margaret J. Higgins, Robert W. Gomez, Morgan Storino, Nigel Wang, Adam Strouse, Zachary Zook, Kylie Coffield, Dustin A. Greenhill

Bibliographic record

VenueJournal of Pediatric Orthopaedics · 2025
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine3d printedPatient satisfactionPhysical therapySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Three-dimensional (3D) printing is an emerging technology with unclear roles in the care of pediatric orthopaedic fractures. The purpose of this study was to compare patient-reported impressions of custom 3D-printed casts (3DC) versus traditional fiberglass casts (TFC) after short arm immobilization of stable fracture patterns. METHODS: Patients aged 18 years or younger with stable fracture patterns (per detailed criteria) treated with a short arm 3DC or TFC during a 2-year period were reviewed. Patients with less stable fracture patterns, <2 weeks of immobilization, or incomplete follow-up or outcomes assessments were excluded. Clinical outcomes were recorded. Patient-reported function and satisfaction outcomes were evaluated with a standardized patient activity survey and patient valuations of each immobilization device were compared using the validated Quebec User Evaluation of Satisfaction with Assistive Technology 2.0 (QUEST 2.0) assessment. Institutional charge estimates per distinct clinical scenarios were computed. RESULTS: Among 106 included patients (49 3DC, 57 TFC), the average age was 10.0±3.2 (range: 2 to 18), and the average cast duration was 4.4±1.5 (2 to 10) weeks. Patients with 3D-printed casts reported it was easier to shower (1.2 vs. 2.6, P <0.001), swim (1.1 vs. 3.2, P <0.001), play sports (1.5 vs. 3.2, P <0.001), participate in family vacations (1.0 vs. 1.3, P =0.028), and they reported less overall functional limitations (1.5 vs. 2.3, P <0.001). Regarding satisfaction, 3D-printed casts were considered more durable (5.0 vs. 4.7, P =0.012). Skin irritation rates were equivalent between cohorts (12.2% 3DC vs. 8.8% TFC, P =0.559). There was 1 unplanned visit in the 3DC group versus 5 in the TFC group (2% vs. 9%, P =0.411). One patient lost alignment in a 3DC while violating activity restrictions. The most common difference in estimated institutional charges was $48 more for a 3DC (ranged from -$252 to $48). CONCLUSION: 3D-printed casts outperformed TFCs in durability, a pediatric patient's ability to participate in common activities, and overall patient satisfaction in exchange for sometimes slightly higher estimated charges. In appropriate patients, 3D-printed casts offer a reasonable alternative to traditional fiberglass casts. LEVEL OF EVIDENCE: Level 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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.231
Teacher spread0.226 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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