Evidence map›Paper›PMID 38236389›Full record

Observational studyOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2024

Opportunistically identifiable vertebral fractures on routine radiological imaging predict mortality: observational cohort study.

Michael Kriegbaum Skjødt, Joeri Nicolaes, Christopher Dyer Smith, Kim Rose Olsen, Cesar Libanati, Cyrus Cooper, Bo Abrahamsen

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2024. 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
0.9field-weighted citation impact, top 31% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 3 institutions in 3 countries.

Michael Kriegbaum SkjødtDepartment of Medicine, Holbæk Hospital, Holbæk, Denmark. miksk@regionsjaelland.dk.ORCID http://orcid.org/0000-0002-2109-8989
Joeri NicolaesDepartment of Electrical Engineering (ESAT), Center for Processing Speech and Images, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-2789-8781
Christopher Dyer SmithOPEN - Open Patient data Explorative Network, Department of Clinical Research, University of Southern Denmark and Odense University Hospital, Odense, Denmark.
Kim Rose OlsenDaCHE, Institute of Public Health, University of Southern Denmark, Odense, Denmark.
Cesar LibanatiUCB Pharma, Brussels, Belgium.
Cyrus CooperMRC Lifecourse Epidemiology Center, University of Southampton, Southampton General Hospital, Southampton, UK.
Bo AbrahamsenDepartment of Medicine, Holbæk Hospital, Holbæk, Denmark.ORCID http://orcid.org/0000-0002-2730-6080
University of Southern Denmark · DKUCB Pharma (Belgium) · BESouthampton General Hospital · GB

Funding

Medical Research Council G0400491Medical Research Council G0601019Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_PC_21022Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/2Medical Research Council MR/J000094/1
6 · The paper itself

Abstract

In men and women with opportunistically identifiable vertebral fractures (VFs) on routine CT scans including the chest and/or abdomen, the risk of death is 51% higher than in those with no VF on the CT scan, and 325% higher than an age- and sex-matched general population cohort. PURPOSE: There is little knowledge about the risk of death in patients with VFs present on routine radiological imaging. We evaluated the risk of death in men and women aged 50 years or older with opportunistically identifiable VFs on routine CT scans and not treated with osteoporosis medications.

methodsThoracic and lumbar VFs were identified through a blinded, two-step approach on CT scans performed as part of normal clinical care in a Danish hospital in 2010 or later. Subjects with VF were matched on age and sex against those with no VF (1:2-ratio) and a general population cohort (1:3-ratio), respectively, and followed for up to 7 years through the national Danish registers. Subjects treated with an osteoporosis medication in the year prior to baseline were excluded.

resultsSubjects with VF had a significantly higher risk of death during follow-up as compared to subjects with no VF on the CT scan (adjusted hazard ratio [HR] 1.51 [95% confidence interval 1.27-1.79; p < 0.001]) and even more so when compared to the general population cohort (HR 4.25 [3.53-5.12; p < 0.001]). In subjects with versus without VF on the CT scan, the risk was higher in those with moderate or severe VF, in those with no malignancy prior to baseline, and in those with a lower Charlson comorbidity index score.

conclusionSubjects with VF available for identification on routine CT scans face a substantially increased risk of death. Opportunistic identification and reporting of VF is important to identify these patients to allow intervention if indicated.

Indexed as

OsteoporosisOsteoporotic FracturesSpinal FracturesBone DensityCohort StudiesFemaleHumansMaleMiddle AgedTomography, X-Ray ComputedEpidemiologyMortalityOsteoporosisPublic healthVertebral fracture

Identifiers

PMID38236389
PMCPMC10957599
OpenAlexW4390967826

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.