Evidence map›Paper›PMID 33834131›Full record

ReviewJournal of spine surgery (Hong Kong)2021

Minimally invasive tubular laminectomies in multilevel spine surgery-an illustrative case-based review of techniques and combined approaches.

Fabio Roberti, Katie L Arsenault

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of spine surgery (Hong Kong), 2021. 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
1.1field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  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

2 authors at 1 institution in 1 country.

Fabio RobertiSection of Neurosurgery, Cleveland Clinic Indian River Hospital, Vero Beach, FL, USA.
Katie L ArsenaultSection of Neurosurgery, Cleveland Clinic Indian River Hospital, Vero Beach, FL, USA.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive techniques have become part of the spine surgeons' armamentarium and are currently utilized to treat many conditions involving the cervical, thoracic, lumbar and sacral spine. Surgical treatment of severe degenerative conditions such as multilevel spinal stenosis, tandem stenosis, combination of stenosis or disk herniation and spondylolisthesis at adjacent spinal levels, as well as extensive infections or hematomas, may require a multilevel tailored approach with all the challenges that such surgical planning entails. Although the use of minimally invasive tubular decompressive procedures has gained widespread popularity in the recent years, the adoption of such techniques during multilevel spine surgery can be at times challenging. A careful tailored selection of the surgical approach that better fits needs and expectations of the patient is therefore consequential to achieve good clinical and radiological outcome without compromising efficiency and results. Many surgical techniques have been described in literature but very few reports on the use of combined tubular approached are currently present. We therefore present an illustrative review of techniques for tubular laminectomies and combined approaches that can be utilized in the surgical treatment of multilevel spinal conditions. Illustrative cases documenting common and less common indications for the use of minimally invasive laminectomies are also presented.

Indexed as

combined approachesMinimally invasive laminectomyminimally invasive spine surgery

Identifiers

PMID33834131
PMCPMC8024759
OpenAlexW3137006064

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.