Evidence map›Paper›PMID 22569245›Full record

ArticleArthritis research & therapy2012

Osteoporosis in ankylosing spondylitis - prevalence, risk factors and methods of assessment.

Eva Klingberg, Mattias Lorentzon, Dan Mellström, Mats Geijer, Jan Göthlin, Elisabet Hilme, Martin Hedberg, Hans Carlsten, Helena Forsblad-d'Elia

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 99 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 2 pooled it
10.2field-weighted citation impact, top 1% 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.

NCT05504616 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Physical Activity in Axial Spondyloarthritis: Development and Implementation of an Evidence-Based Health Technology Approach to Improve Adherence to Recommended Guidelines

TypeinterventionalSponsorUniversity Health Network, TorontoRan2022 to 2024Enrolled106ConditionsAxial SpondyloarthritisArmsHealth technology-based intervention strategy
NCT06577350 recruitingnot on this mapstarted 2023, after this paper: background citation

The Frequency of Osteosarcopenia and Its Relationship With Demographic and Clinical Factors in Axial Spondyloarthritis

TypeobservationalSponsorAnkara UniversityRan2023 to 2025Enrolled97ConditionsAxial Spondyloarthritis, Ankylosing Spondylitis, Axial Spondyloarthritis, Non-Radiographic, Osteoporosis
3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 2 syntheses or guidelines pooled it, 200 citations in OpenAlex.

  1. Prevalence and relative risk of fractures and osteoporosis in patients with ankylosing spondylitis: a systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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39 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 1 country.

Eva KlingbergDepartment of Rheumatology and Inflammation Research, Sahlgrenska Academy at University of Gothenburg, Guldhedsgatan 10A, S-413 46 Göteborg, Sweden. Eva.Klingberg@vgregion.se
Mattias Lorentzon
Dan Mellström
Mats Geijer
Jan Göthlin
Elisabet Hilme
Martin Hedberg
Hans Carlsten
Helena Forsblad-d'Elia
University of Gothenburg · SESahlgrenska University Hospital · SELund University · SESödra Älvsborg Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOsteoporosis can be a complication of ankylosing spondylitis (AS), but diagnosing spinal osteoporosis can be difficult since pathologic new bone formation interferes with the assessment of the bone mineral density (BMD). The aims of the current study were to investigate prevalence and risk factors for reduced BMD in a Swedish cohort of AS patients, and to examine how progressive ankylosis influences BMD with the use of dual-energy x-ray absorptiometry (DXA) of the lumbar spine in different projections.

methodsMethods of assessment were questionnaires, back mobility tests, blood samples, lateral spine radiographs for syndesmophyte grading (mSASSS), DXA of the hip, radius and lumbar spine in anteroposterior (AP) and lateral projections with estimation of volumetric BMD (vBMD).

resultsAS patients (modified New York criteria), 87 women and 117 men, mean age 50 ± 13 years and disease duration 15 ± 11 years were included. According to World Health Organization (WHO) criteria 21% osteoporosis and 44% osteopenia was diagnosed in patients > = 50 years. Under age 50 BMD below expected range for age was found in 5%. Interestingly lateral lumbar DXA showed significantly lower BMD and revealed significantly more cases with osteoporosis as compared with AP DXA. Lumbar vBMD was not different between sexes, but women had significantly more lumbar osteoporosis measured with AP DXA (P < 0.001). Men had significantly higher mSASSS (P < 0.001). Low BMD was associated with high age, disease duration, mSASSS, Bath Ankylosing Spondylitis Metrology Index (BASMI), inflammatory parameters and low body mass index (BMI). Increasing mSASSS correlated significantly with decreasing lateral and volumetric lumbar BMD, while AP lumbar BMD showed tendency to increase.

conclusionsOsteoporosis and osteopenia is common in AS and associated with high disease burden. Lateral and volumetric lumbar DXA are more sensitive than AP DXA in detecting osteoporosis and are less affected by syndesmophyte formation.

Indexed as

Absorptiometry, PhotonBone DensityFemaleHumansMaleMiddle AgedOsteoporosisPrevalenceRisk FactorsSpondylitis, AnkylosingSweden

Identifiers

PMID22569245
PMCPMC3446485
OpenAlexW2098623286

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.