Evidence map›Paper›PMID 30237730›Full record

ReviewJournal of inflammation research2018

Sacroiliitis - early diagnosis is key.

Gleb Slobodin, Haya Hussein, Itzhak Rosner, Iris Eshed

Open access · goldAbstract readReview
In one paragraph

Review in Journal of inflammation research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Is ultra low-dose CT with tin filtration useful for examination of SI joints? Can it replace X-ray in diagnostics of sacroiliitis?Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2022
    Article
  14. Article
  15. Clinical Manifestations and Diagnosis of Axial Spondyloarthritis.Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases · 2021
    Review
  16. Review
  17. Secukinumab in axial spondyloarthritis: a narrative review of clinical evidence.Therapeutic advances in musculoskeletal disease · 2021
    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 2 institutions in 1 country.

Gleb SlobodinRheumatology Unit, Bnai Zion Medical Center, Haifa, Israel, gslobodin@yahoo.com.
Haya HusseinRheumatology Unit, Bnai Zion Medical Center, Haifa, Israel, gslobodin@yahoo.com.
Itzhak RosnerRheumatology Unit, Bnai Zion Medical Center, Haifa, Israel, gslobodin@yahoo.com.
Iris EshedDepartment of Diagnostic Imaging, Sheba Medical Center, Tel Aviv, Israel.
Bnai Zion Medical Center · ILSheba Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sacroiliitis, inflammation of the sacroiliac joint (SIJ), may be associated with many rheumatic and nonrheumatic disorders. The diagnosis of sacroiliitis may be difficult in many patients, and awareness of its typical manifestations along with recognition of its diverse presentations and cognizance of the limitations of today's imaging modalities are critical to good clinical practice. This review presents the didactic approach to the early diagnosis of sacroiliitis in patients with suspected axial spondyloarthritis and other nosologic entities, discussing also differential interpretation of information acquired from patients' histories, physical examination, and imaging.

Indexed as

axial spondyloarthritisdiagnosisdifferential diagnosisimagingSacroiliac jointsacroiliitis

Identifiers

PMID30237730
PMCPMC6136407
OpenAlexW2891992784

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.