Evidence map›Paper›PMID 29977607›Full record

ArticleSpinal cord series and cases2018

Clinical application and cases examples of a new treatment algorithm for treating thoracic and lumbar spine trauma.

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

Open access · bronzeAbstract read
In one paragraph

Article in Spinal cord series and cases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 2 countries.

Andrei F Joaquim1Neurosurgery Division, State University of Campinas, Campinas, SP Brazil.
Alpesh A Patel2Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL USA.
Gregory D Schroeder3Department of Orthopaedic Surgery and Neurosurgery, Thomas Jefferson University, Philadelphia, PA USA.
Alexander R Vaccaro3Department of Orthopaedic Surgery and Neurosurgery, Thomas Jefferson University, Philadelphia, PA 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

STUDY

designReview of illustrative cases of a new algorithm to help in the treatment decision of thoracolumbar spine trauma.

objectivesTo illustrate the use of the new algorithm for managing thoracic and lumbar spine trauma. SETTINGS: Recently, a new algorithm for helping in the decision of the best treatment modality for thoracolumbar spine trauma (TLST) was published. The algorithm considers injury morphology, neurological status, clinical status (pain and disability), and also multimodal radiological evaluation (MMRE) in the decision for non-operative versus operative treatment for TLST. Injuries were classified in three groups: (1) stable injuries, (2) potentially unstable injuries/ delayed instability, or (3) clearly unstable injuries.

methodsCases examples of the algorithm application were presented and discussed.

resultsStable injuries (minor fractures without instability) are non-surgically treated; potentially unstable injuries or associated with delayed instability may be initially managed non-surgically and operative treatment is an option, especially in the setting of important pain, deformity or a new neurological deficit. Clearly unstable injuries are treated surgically as soon as possible to avoid neurological worsening, severe pain, and/ or progressive spinal deformity.

conclusionsClinical examples of TLST were presented, discussed and classified as stable, potentially unstable and clearly unstable injuries. Further studies addressing the reliability and safety of this algorithm are necessary.

Identifiers

PMID29977607
PMCPMC6023902
OpenAlexW2810596503

What OpenQuestion holds

Textmetadata
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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.