Evidence map›Paper›PMID 27094946›Full record

ReviewClinical rheumatology2016

The role of MRI in the evaluation of spondyloarthritis: a clinician's guide.

Walter P Maksymowych

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical rheumatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

1 author at 1 institution in 1 country.

Walter P MaksymowychDivision of Rheumatology, Department of Medicine, University of Alberta, Edmonton, AB, Canada. walter.maksymowych@ualberta.ca.
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plain radiography remains the benchmark for diagnostic evaluation of spondyloarthritis although MRI has much great sensitivity because it can detect a variety of inflammatory lesions as well as fat metaplasia. So, it is the imaging modality of choice when pelvic radiographs are equivocal and especially when important treatment decisions have to be made. Appropriate imaging includes the use of T1-weighted and short tau inversion recovery sequences of the sacroiliac joint in the tilted coronal plane. If there is localized spinal symptomatology, sagittal scans of the spine may also be helpful. However, routine spinal imaging is not recommended. Current consensus designates a positive MRI for classification purposes as requiring the presence of two definite subchondral inflammatory lesions on a single coronal slice or the presence of one such lesion on two consecutive coronal slices. However, such inflammatory lesions can occur in healthy individuals and in those with nonspecific back pain. Erosions are more specific, and their presence can enhance confidence in the diagnosis. MRI, together with CRP, can be helpful in selecting which patients without radiographic sacroiliitis are most likely to respond to tumor necrosis factor inhibitor therapy. The role of MRI in monitoring of patients with SpA remains unclear although it may be helpful in excluding other sources of back pain. A major unanswered question is whether MRI may be useful in predicting relapse following withdrawal of TNFi in patients who have achieved sustained remission.

Indexed as

Magnetic Resonance ImagingBack PainHumansSacroiliac JointSacroiliitisSpineSpondylarthritisMRIShort tau inversion recovery (STIR)Spondyloarthritis

Identifiers

PMID27094946
OpenAlexW2341092641

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.