Evidence map›Paper›PMID 39156384›Full record

ArticleCureus2024

Using Immersive Virtual Reality to Classify Pediatric Thoracolumbar Spine Injuries.

Nicole Welch, Blake K Montgomery, Kirsten Ross, Frank Mota, Michelle Mo, Emmanouil Grigoriou, Magdalena Tarchala, John Roaten, Patricia Miller, Daniel Hedequist and 1 more

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

11 authors.

Nicole WelchDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.
Blake K MontgomeryDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.
Kirsten RossDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.
Frank MotaDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.
Michelle MoDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.
Emmanouil GrigoriouDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.
Magdalena TarchalaDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.
John RoatenDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.
Patricia MillerDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.
Daniel HedequistDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.
Craig M BirchDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective This study aimed to assess the reliability and reproducibility of the AO Spine Thoracolumbar Injury Classification System by using virtual reality (VR). We hypothesized that VR is a highly reliable and reproducible method to classify traumatic spine injuries. Methods VR 3D models were created from CT scans of 26 pediatric patients with thoracolumbar spine injuries. Seven orthopedic trainees were educated on the VR platform and AO Spine Thoracolumbar Injury Classification System. Classifications were summarized by primary class and subclass for both rater readings performed two weeks apart with image order randomized. Intra-observer reproducibility was quantified by Fleiss's kappa (kF) for primary classifications and Krippendorff's alpha (aK) for subclassifications along with 95% confidence intervals (CIs) for each rater and across all raters. Inter-observer reliability was quantified by kF for primary classifications and aK for subclassifications along with 95% CIs across all raters for the first read, the second read, and all reads combined. The interpretations were as follows: 0-0.2: slight; 0.2-0.4: fair; 0.4-0.6: moderate; 0.6-0.8: substantial; and >0.8: almost perfect agreement. Results A total of 364 classifications were submitted by seven raters. Intra-observer reproducibility ranged from moderate (kF=0.55) to almost perfect (kF=0.94) for primary classifications and from substantial (aK=0.68) to almost perfect (aK=0.91) for subclassifications. Reproducibility was substantial across all raters for the primary class (kF=0.71; 95% CI=0.61-9.82) and subclass (aK=0.79; 95% CI=0.69-0.86). Inter-observer reliability was substantial (kF=0.63; 95% CI=0.57-0.69) for the first read, moderate (kF=0.58; 95% CI=0.52-0.64) for the second read, and substantial (kF=0.61; 95% CI=0.56-0.65) for all reads for primary classifications. For subclassifications, inter-observer reliability was substantial (aK=0.74; 95% CI=0.58-0.83) for the first read, second read (aK=0.70; 95% CI=0.53-0.80), and all reads (aK=0.72; 95% CI=0.60-0.79). Conclusions Based on our findings, VR is a reliable and reproducible method for the classification of pediatric spine trauma, besides its ability to function as an educational tool for trainees. Further research is needed to evaluate its application for other spine conditions.

Indexed as

ao spinepediatricspinethoracolumbartraumavirtual reality (vr)

Identifiers

PMID39156384
PMCPMC11330310

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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.