Evidence map›Paper›PMID 42891683›Full record

ReviewSkeletal radiology2026

Imaging findings of sacroiliac joint degeneration are prevalent in asymptomatic adults: a systemic review and meta-analysis.

Marianne T Luetmer, Sherief Ghozy, Omar Fayez, Seyed Behnam Jazayeri, David F Kallmes, Christin A Tiegs-Heiden

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In one paragraph

Review in Skeletal radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Marianne T LuetmerDepartments of Neurology and Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0003-4305-5514
Sherief GhozyTransitional Year Program, University of Central Florida College of Medicine, HCA GME Consortium, Ocala, FL, USA.
Omar FayezFaculty of Medicine, Al-Azhar University, Cairo, Egypt.
Seyed Behnam JazayeriDepartment of Neuroscience, Comprehensive Stroke Center, University of California San Diego, La Jolla, CA, USA.
David F KallmesDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
Christin A Tiegs-HeidenDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, USA. tiegsheiden.christin@mayo.edu.ORCID http://orcid.org/0000-0003-3794-6003

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study is to determine the prevalence of imaging findings of sacroiliac joint (SIJ) degeneration in asymptomatic adults. MATERIALS AND

methodsAll studies reporting the prevalence of cross-sectional imaging findings of SIJ degeneration in asymptomatic adults through May 2026 were included. Pooled prevalence and 95% confidence intervals were calculated using a random-effects model. Heterogeneity was assessed with I

resultsSeventeen studies (3873 patients) were included. Any feature of degeneration was observed in 71.1% of patients (95% CI [25.8, 94.6]) with significant heterogeneity among studies (I

conclusionOur study reveals a high prevalence of imaging findings related to SIJ degeneration in asymptomatic adults, which may have a connection with age in several findings. These findings emphasize the importance of correlating imaging with clinical symptoms and physical examination findings in the evaluation of low back pain. Findings should be interpreted with caution because confidence intervals were wide and between-study heterogeneity was high, reflecting differences in imaging modality, lesion definitions, and patient categorization.

Indexed as

Degenerative arthritisImagingLow back painSacroiliac joint

Identifiers

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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.