Evidence map›Paper›PMID 34918529›Full record

ArticlePhysiological research2021

Prediction of Vertebral Fractures by Trabecular Bone Score in Patients With Ankylosing Spondylitis.

Z Killinger, M Kužma, S Tomková, K Brázdilová, P Jackuliak, J Payer

Open access · goldAbstract readComparative Study
In one paragraph

Article in Physiological research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Z Killinger5th department of Internal Medicine, Comenius University Faculty of Medicine, University Hospital Bratislava, Bratislava, Slovakia. martin.kuzma@fmed.uniba.sk.
M Kužma
S Tomková
K Brázdilová
P Jackuliak
J Payer
Comenius University Bratislava · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ankylosing spondylarthritis (AS) is associated falsely increased lumbar spine bone mineral density (BMD). New tool for discrimination of subjects at fracture risk is needed. Vertebral fracture (VF) prediction of routine methods for osteoporosis assessment, BMD and trabecular bone score (TBS), in patients with AS. Cross-sectional study of all AS patients regularly followed at the rheumatology outpatient clinics of two centers. All subjects undergone BMD measurement at lumbar spine (LS), total hip (TH) and femoral neck (FN) using Hologic® Horizon device. TBS at L1-4 in all subjects by TBS InSight® software were assessed. Vertebral fracture assessment (VFA) was performed using the lateral spine imaging IVA™ and graded using Genant semi-quantitative approach. 119 AS subjects (90 males/29 females), mean age 47.6 years were included in the study. In 20 patients 34 VFs were detected, from whom 7 patients had multiple fractures. Subjects with VF were older and had lower FN BMD, TBS in comparison to non-VF subjects. No differences in LS BMD, FN BMD or BASDAI between groups were observed. Among patients with VF only 3 had T-score less than -2.5 but 7 has TBS less than 1.23 which means highly degraded microarchitecture. AS patients with VF have lower TBS and FN BMD in comparison to non-VF subjects. In addition, TBS was able to detect 20 % more VFs than BMD. Therefore, TBS seems promising in VF discrimination among patients with AS.

Indexed as

Bone DensityAdultAgedCancellous BoneCross-Sectional StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsSeverity of Illness IndexSpinal FracturesSpondylitis, Ankylosing

Identifiers

PMID34918529
PMCPMC8884385
OpenAlexW4200455160

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.