Evidence map›Paper›PMID 37959207›Full record

ReviewJournal of clinical medicine2023

Assessing the Accuracy of Spinal Instrumentation Using Augmented Reality (AR): A Systematic Review of the Literature and Meta-Analysis.

Bhavya Pahwa, Tej D Azad, Jiaqi Liu, Kathleen Ran, Connor J Liu, Jovanna Tracz, Shahab Aldin Sattari, Jawad M Khalifeh, Brendan F Judy, Ali Bydon and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of clinical medicine, 2023. 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. Review
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.

Bhavya PahwaUniversity College of Medical Sciences, GTB Hospital, New Delhi 110095, India.ORCID 0000-0002-4010-8951
Tej D AzadDepartment of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA.
Jiaqi LiuSchool of Medicine, Georgetown University, Washington, DC 20007, USA.ORCID 0000-0003-2036-8200
Kathleen RanDepartment of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA.
Connor J LiuDepartment of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA.
Jovanna TraczDepartment of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA.ORCID 0000-0002-7233-8962
Shahab Aldin SattariDepartment of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA.ORCID 0000-0002-4021-3153
Jawad M KhalifehDepartment of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA.
Brendan F JudyDepartment of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA.
Ali BydonDepartment of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA.
Timothy F WithamDepartment of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological advancements, particularly in the realm of augmented reality (AR), may facilitate more accurate and precise pedicle screw placement. AR integrates virtual data into the operator's real-world view, allowing for the visualization of patient-specific anatomy and navigated trajectories. We aimed to conduct a meta-analysis of the accuracy of pedicle screw placement using AR-based systems. A systematic review of the literature and meta-analysis was performed using the PubMed/MEDLINE database, including studies reporting the accuracy of pedicle screw placement using AR. In total, 8 studies with 163 patients and 1259 screws were included in the analysis. XVision (XVS) was the most commonly used AR system (595 screws) followed by the Allura AR surgical navigation system (ARSN) (462 screws). The overall accuracy was calculated as 97.2% (95% CI 96.2-98.1%

Indexed as

augmented realitymixed realitypedicle screwXVision

Identifiers

PMID37959207
PMCPMC10649145

What OpenQuestion holds

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Registered trials

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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.