Evidence map›Paper›PMID 41858960›Full record

ReviewJournal of orthopaedics2026

Impact of 3D technology on perioperative outcomes of articular and periarticular fractures: A systematic review and meta-analysis of RCT studies.

Mattia Alessio Mazzola, Giulia D'Andrea, Niccolo Barducci, Giuseppe Marongiu, Giacomo Placella, Vicenzo Salini

Abstract readReview
In one paragraph

Review in Journal of orthopaedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mattia Alessio MazzolaIRCCS Ospedale San Raffaele, Unità Clinica di Ortopedia e Traumatologia, Via Olgettina 60, 20132, Milan, Italy.
Giulia D'AndreaUniversità Vita-Salute San Raffaele, Via Olgettina 58, 20132, Milan, Italy.
Niccolo BarducciUniversità Vita-Salute San Raffaele, Via Olgettina 58, 20132, Milan, Italy.
Giuseppe MarongiuUniversità Degli Studi di Cagliari, Cagliari, Italy.
Giacomo PlacellaUniversità Vita-Salute San Raffaele, Via Olgettina 58, 20132, Milan, Italy.
Vicenzo SaliniUniversità Vita-Salute San Raffaele, Via Olgettina 58, 20132, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In recent years, three-dimensional (3D) printing and virtual preoperative planning have gained increasing importance in orthopaedic surgery. These innovative technologies for the management of articular and periarticular fractures enable a precise understanding of patient-specific anatomy and accurate preoperative simulations. Objectives: The objective of this systematic review and meta-analysis is to evaluate and summarize the impact of 3D-assisted techniques on perioperative outcomes in the surgical management of articular and periarticular fractures across different anatomical districts. Study design & methods: This review and meta-analysis was conducted in accordance with the PRISMA guidelines, and PICOS criteria. Randomized controlled trials (RCTs) investigating the use of 3D technology in the treatment of articular and periarticular fractures were systematically collected and analyzed. Inclusion criteria comprised level I RCTs comparing 3D-assisted surgery (including 3D printing and/or virtual surgical planning) with conventional surgical techniques. Studies were excluded if they were non-randomized or lacked sufficient outcome measures. The primary outcome evaluated was operative time; secondary outcomes included intraoperative blood loss, fluoroscopy duration, and postoperative complication rate. Results: 16 RCTs published between 2015 and 2024 were included, encompassing 881 patients (431 treated with 3D-assisted methods and 450 undergoing conventional surgery). The studies covered several anatomical regions, including tibial plateau, ankle, calcaneus, elbow, and wrist.Meta-analysis demonstrated that 3D-assisted surgery significantly reduced operative time (tibial plateau: MD = -12.8 min, p < 0.001; ankle: MD = -18.9 min, p < 0.001; elbow: MD = -16.3 min, p < 0.001; wrist: MD = -8.1 min, p < 0.001). Similarly, lower intraoperative blood loss were observed (tibial plateau: MD = -30.4 mL, p < 0.001; ankle: MD = -37.2 mL, p < 0.001; wrist: MD = -15.4 mL, p < 0.001) and fluoroscopy exposure (tibial plateau: MD = -2.1 min, p < 0.001; wrist: MD = -1.1 min, p < 0.001). No statistically significant differences were observed in postoperative complication rates among the analyzed anatomical districts. Conclusions: The findings of this meta-analysis suggest that the implementation of 3D technology in orthopaedic trauma surgery provides measurable perioperative benefits, including significant reductions in operative time, intraoperative blood loss, and fluoroscopy exposure, without increasing the risk of complications.

Indexed as

“3D modeling”“3D printing"“Articular fractures”"Orthopaedic fractures”“Peri-articular fractures”“Pre-operative planning"“Surgical planning”

Identifiers

PMID41858960
PMCPMC12997335

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.