Evidence map›Paper›PMID 29412065›Full record

ReviewThe journal of spinal cord medicine2019

A simplified treatment algorithm for treating thoracic and lumbar spine trauma.

Andrei F Joaquim, Alpesh A Patel, Gregory D Schroeder, Alexander R Vaccaro

Open access · greenAbstract readReview
In one paragraph

Review in The journal of spinal cord medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. [Surgical treatment of delayed spinal cord injury caused by atypical compression of old thoracolumbar fractures].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2021
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

4 authors at 3 institutions in 2 countries.

Andrei F Joaquima Neurosurgery Division , State University of Campinas , Campinas-SP , Brazil.
Alpesh A Patelb Department of Orthopaedic Surgery , Northwestern University Feinberg School of Medicine , Chicago , Illinois , USA.
Gregory D Schroederc Department of Orthopaedic Surgery and Neurosurgery at Thomas Jefferson University , Philadelphia , Pennsylvania , USA.
Alexander R Vaccaroc Department of Orthopaedic Surgery and Neurosurgery at Thomas Jefferson University , Philadelphia , Pennsylvania , USA.
Thomas Jefferson University · USNorthwestern University · USUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextCurrent treatment of TLST should consider injury morphology, neurological status, clinical status (pain and disability) and also multimodal radiological evaluation (MMRE) with CT, MRI and dynamic/ standing plain radiographs.

methodsA narrative literature review was performed to propose a treatment algorithm to guide the management of thoracolumbar spinal trauma (TLST). In order to classify injuries and surgical indications, we utilized the two most recent classification systems (TLICS and new AO spine classification) and related recent literature.

resultsInjuries were categorized into three groups according to stability: 1) Stable injuries, 2) Potentially unstable injuries/ delayed instability or 3) Clearly unstable injuries. Stable injuries included most of AO type A fractures without neurological deficit, mild clinical symptoms and without risk factors for late deformity. Potentially unstable injuries generally included patients without neurological deficits but with some risk factors for late deformity or with severe clinical symptoms. Surgery may be recommended in this group. Finally, clearly unstable injuries are those with spinal dislocations and/ or with neurological deficits, especially in the setting of persistent neural tissue compression, requiring early surgical treatment.

conclusionsThe proposed treatment algorithm is intended to help surgeons select the best treatment modality for their patients, categorizing injuries according to their main characteristics into one of these three groups. Further studies addressing the reliability and safety of this algorithm are necessary.

Indexed as

AlgorithmsHumansLumbar VertebraeSpinal Cord InjuriesThoracic VertebraeTomography, X-Ray ComputedTreatment OutcomeAlgorithmClassificationLumbar traumaThoracic traumaTreatment

Identifiers

PMID29412065
PMCPMC6718134
OpenAlexW2793614475

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.