Evidence map›Paper›PMID 36266250›Full record

ArticleAsian spine journal2022

Diagnostic Technology for Spine Pathology.

Gang-Un Kim, Wook Tae Park, Min Cheol Chang, Gun Woo Lee

Open access · diamondAbstract read
In one paragraph

Article in Asian spine journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 46 citations in OpenAlex.

  1. Trial
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  4. Review
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  6. Article
  7. Review
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  9. Article
  10. Spinal schwannoma: Limitations of CT imaging.Radiology case reports · 2024
    Article
  11. Article
  12. Article
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  14. Review
  15. Article
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  18. Article
  19. Identification of L5 vertebra on lumbar spine radiographs using deep learning.The Journal of international medical research · 2024
    Article
  20. 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 1 country.

Gang-Un KimDepartment of Orthopaedic Surgery, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Korea.
Wook Tae ParkDepartment of Orthopaedic Surgery, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu, Korea.
Min Cheol ChangDepartment of Physical Medicine and Rehabilitation, Yeungnam University College of Medicine, Daegu, Korea.
Gun Woo LeeDepartment of Orthopaedic Surgery, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu, Korea.
Yeungnam University Medical Center · KRThe Catholic University of Korea Incheon St. Mary's Hospital · KRYeungnam University College

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic techniques for spinal pathologies have been developed in accordance with advances in technology. Accurate diagnosis of spinal pathology is essential for appropriate management of spinal diseases. Since the development of X-rays in 1895 and computed tomography (CT) in 1967, several diagnostic imaging modalities have been utilized for detecting spinal pathologies, including radiography, CT, magnetic resonance imaging, and radionuclide imaging. In addition to diagnostic imaging technologies, electrodiagnostic tests, including electromyography and nerve conduction studies, play a significant role as diagnostic tools, as spinal diseases are mostly profoundly associated with pathologies of the neural structures, such as the spinal cord and nerve root, and extent of injury at the structure cannot be adequately detected by conventional imaging techniques. In patient-specific treatment strategies, usage of diagnostic modalities is of great importance; thus, we should be aware of the basic details and approaches of the different diagnostic modalities. In this review, the authors discuss the details of the technologies that aid in the diagnosis of spinal pathologies.

Indexed as

DiagnosisElectrodiagnostic studyImagesSpinal diseases

Identifiers

PMID36266250
PMCPMC9633243
OpenAlexW4306918630

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.