Evidence map›Paper›PMID 36880510›Full record

ArticleJournal of neurosurgery. Case lessons2023

Robotics planning in minimally invasive surgery for adult degenerative scoliosis: illustrative case.

Zach Pennington, Nolan J Brown, Saif Quadri, Seyedamirhossein Pishva, Cathleen C Kuo, Martin H Pham

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 5 institutions in 1 country.

Zach Pennington1Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.
Nolan J Brown2Department of Neurosurgery, University of California Irvine, Irvine, California.
Saif Quadri3Kansas City University College of Medicine, Kansas City, Missouri.
Seyedamirhossein Pishva3Kansas City University College of Medicine, Kansas City, Missouri.
Cathleen C Kuo4Department of Neurosurgery, University at Buffalo, Buffalo, New York; and.
Martin H Pham5Department of Neurosurgery, University of California San Diego School of Medicine, San Diego, California.
Kansas City University · USMayo Clinic · USUniversity at Buffalo, State University of New York · USUniversity of California, Irvine · USUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMinimally invasive surgical techniques are changing the landscape in adult spinal deformity (ASD) surgery, enabling surgical correction to be achievable in increasingly medically complex patients. Spinal robotics are one technology that have helped facilitate this. Here the authors present an illustrative case of the utility of robotics planning workflow for minimally invasive correction of ASD. OBSERVATIONS: A 60-year-old female presented with persistent and debilitating low back and leg pain limiting her function and quality of life. Standing scoliosis radiographs demonstrated adult degenerative scoliosis (ADS), with a lumbar scoliosis of 53°, a pelvic incidence-lumbar lordosis mismatch of 44°, and pelvic tilt of 39°. Robotics planning software was utilized for preoperative planning of the multiple rod and 4-point pelvic fixation in the posterior construct. LESSONS: To the authors' knowledge, this is the first report detailing the use of spinal robotics for complex 11-level minimally invasive correction of ADS. Although additional experiences adapting spinal robotics to complex spinal deformities are necessary, the present case represents a proof-of-concept demonstrating the feasibility of applying this technology to minimally invasive correction of ASD.

Indexed as

adult degenerative scoliosisadult spinal deformityASDminimally invasiveminimally invasive surgeryrobotics

Identifiers

PMID36880510
PMCPMC10550660
OpenAlexW4323312149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.