Evidence map›Paper›PMID 40234366›Full record

ReviewSpine deformity2025

Enabling technology in adult spinal deformity.

Jordan Lebovic, Matthew S Galetta, Zeeshan M Sardar, Michael Goytan, Alan H Daniels, Firoz Miyanji, Justin S Smith, Douglas C Burton, Themistocles S Protopsaltis, S. R. S. Safety, Value Committee

Abstract readReview
PubMed Publisher
In one paragraph

Review in Spine deformity, 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. 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

10 authors.

Jordan LebovicDepartment of Orthopedic Surgery, NYU Langone Orthopedic Hospital, New York, NY, USA.
Matthew S GalettaDepartment of Orthopedic Surgery, NYU Langone Orthopedic Hospital, New York, NY, USA. matthew.galetta@nyulangone.org.
Zeeshan M SardarDepartment of Orthopaedic Surgery, Columbia University Medical Center, The Spine Hospital at New York Presbyterian, New York, USA.
Michael GoytanWinnipeg Spine Program, Health Sciences Centre, University of Manitoba, Winnipeg, MB, Canada.
Alan H DanielsDepartment of Orthopedics, Warren Alpert Medical School of Brown University, East Providence, RI, USA.
Firoz MiyanjiDepartment of Orthopaedics, British Columbia Children's Hospital, Vancouver, BC, Canada.
Justin S SmithDepartment of Neurosurgery, University of Virginia Medical Center, Charlottesville, VA, USA.
Douglas C BurtonDepartment of Orthopaedic Surgery, Medical Center, University of Kansas, Kansas City, KS, USA.
Themistocles S ProtopsaltisDepartment of Orthopedic Surgery, NYU Langone Orthopedic Hospital, New York, NY, USA.
S. R. S. Safety, Value Committee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review analyzes enabling technology in Adult Spinal Deformity (ASD), with a focus on optimizing safety and teaching. The prevalence of ASD is rising, and recent technological advancements can empower surgeons to improve outcomes for ASD patients but also each comes with specific challenges. The paper highlights opportunities and potential obstacles in effective technology integration and assesses key enabling technologies, including surgical planning software, machine leaning, three-dimensional printing, augmented and virtual reality, patient-specific instrumentation as well as navigation and robotics.

Indexed as

Spinal CurvaturesSpineSurgery, Computer-AssistedAdultAugmented RealityHumansPrinting, Three-DimensionalRoboticsVirtual RealityAdult spinal deformityAdvancing technologyMachine learningNavigation and roboticsThree-dimensional printing

Identifiers

PMID40234366

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.