Evidence map›Paper›PMID 40184583›Full record

ArticleJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2025

S2 Alar-Iliac Screw Insertion Safety With Augmented Reality-Assisted Surgical Navigation.

Maximillian Y Lee, Hania Shahzad, Varun K Singh, Richard Lee Price, Frank M Phillips, Safdar N Khan

Abstract read
In one paragraph

Article in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Maximillian Y LeeFrom The Ohio State University College of Medicine, Columbus, OH (Mr. Lee); Department of Orthopaedic Surgery, UC Davis Health, Sacramento, CA (Dr. Shahzad and Dr. Khan); Department of Orthopaedic Surgery, The Ohio State University Wexner Medical Center, Columbus, OH (Dr. Singh); Department of Neurological Surgery, UC Davis Health, Sacramento, CA (Dr. Price); Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL (Dr. Phillips).ORCID 0009-0004-2751-1529
Hania Shahzad
Varun K Singh
Richard Lee Price
Frank M Phillips
Safdar N Khan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAugmented reality (AR) technology has existed for decades but is not commonly used in spine surgery. Studies have found AR to have a good safety profile and workflow advantages over robotic navigation in pedicle screw placement. This study evaluates the safety and accuracy of AR navigation with S2 alar-iliac (S2AI) screw placement, an area with challenging surgical anatomy and little published research.

methodsA retrospective chart review was conducted on patients undergoing spine surgery involving the S2AI corridor between November 2022 and September 2024 at two large academic medical centers. Patient and screw information was collected, and radiographs and CT scans were analyzed for screw safety and accuracy.

resultsAll 70 screws analyzed fully penetrated the sacroiliac joint with only one screw breaching the pelvis medially and no screws breaching the greater sciatic notch. No complications were found in the S2AI corridor.

conclusionThe S2AI corridor contains high-risk neurovasculature. Studies have demonstrated the superiority of robotic navigation over freehand navigation in this area. AR is noninferior to robotic navigation. AR, however, has radiation exposure, workflow, and training advantages over robotic navigation. Future work should investigate patient-reported outcomes, cost-benefit, and learning curve.

Indexed as

Augmented RealityIliumPedicle ScrewsSacroiliac JointSpinal FusionSurgery, Computer-AssistedAdultAgedBone ScrewsFemaleHumansMaleMiddle AgedRetrospective StudiesRobotic Surgical ProceduresTomography, X-Ray Computed

Identifiers

PMID40184583
PMCPMC11964378

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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.