Evidence map›Paper›PMID 26170560›Full record

ReviewIndian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India

Radiological and Radionuclide Imaging of Degenerative Disease of the Facet Joints.

Natalie Shur, Alexis Corrigan, Kanhaiyalal Agrawal, Amidevi Desai, Gopinath Gnanasegaran

Open access · greenAbstract readReview
In one paragraph

Review in Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Bone scintigraphy in patients with pain.The Korean journal of pain · 2017
    Review
  4. 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

5 authors at 1 institution in 1 country.

Natalie ShurDepartment of Nuclear Medicine and Radiology, Guy's and St. Thomas' Hospital NHS Trust, London, SE1 7EH, UK.
Alexis CorriganDepartment of Nuclear Medicine and Radiology, Guy's and St. Thomas' Hospital NHS Trust, London, SE1 7EH, UK.
Kanhaiyalal AgrawalDepartment of Nuclear Medicine and Radiology, Guy's and St. Thomas' Hospital NHS Trust, London, SE1 7EH, UK.
Amidevi DesaiDepartment of Nuclear Medicine and Radiology, Guy's and St. Thomas' Hospital NHS Trust, London, SE1 7EH, UK.
Gopinath GnanasegaranDepartment of Nuclear Medicine and Radiology, Guy's and St. Thomas' Hospital NHS Trust, London, SE1 7EH, UK.
St Thomas' Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The facet joint has been increasingly implicated as a potential source of lower back pain. Diagnosis can be challenging as there is not a direct correlation between facet joint disease and clinical or radiological features. The purpose of this article is to review the diagnosis, treatment, and current imaging modality options in the context of degenerative facet joint disease. We describe each modality in turn with a pictorial review using current evidence. Newer hybrid imaging techniques such as single photon emission computed tomography/computed tomography (SPECT/CT) provide additional information relative to the historic gold standard magnetic resonance imaging. The diagnostic benefits of SPECT/CT include precise localization and characterization of spinal lesions and improved diagnosis for lower back pain. It may have a role in selecting patients for local therapeutic injections, as well as guiding their location with increased precision.

Indexed as

Facet joint diseaseimaginglower back pain

Identifiers

PMID26170560
PMCPMC4479906
OpenAlexW2260099394

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.