Evidence map›Paper›PMID 19723469›Full record

ReviewCurrent osteoporosis reports2009

Clinical relevance of diagnosing vertebral fractures by vertebral fracture assessment.

Marleen S van Brussel, Willem F Lems

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current osteoporosis reports, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Management of osteoporosis in patients with chronic kidney disease.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022
    Review
  2. Article
  3. Vertebral fracture assessment by DXA is inferior to X-ray in clinical severe osteoporosis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016
    Article
  4. Article
  5. Vertebral fracture assessment (VFA) by lateral DXA scanning may be cost-effective when used as part of fracture liaison services or primary care screening.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2014
    Article
  6. Article
  7. 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

2 authors at 2 institutions in 2 countries.

Marleen S van BrusselDepartment of Rheumatology 3A64, VU University Medical Center, PO Box 7057, 1007 MB, Amsterdam, The Netherlands. m.vanbrussel@vumc.nl
Willem F Lems
Amsterdam UMC Location VUmc · NLCenter for Rheumatology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low bone mineral density and the presence of vertebral fractures are independent predictors for future vertebral and non-vertebral fractures. Combining the conventional measurement of bone mineral density of spine and hips with the morphometry of the thoracal and lumbar vertebrae on lateral images using dual energy x-ray absorptiometry scanners, a technique called vertebral fracture assessment, facilitates detection of vertebral fractures in those patients at older age and with clinical risk factors for osteoporosis. Particularly, the finding of one or more vertebral deformities in patients with osteopenia is clinically important, because this might prompt the start of anti-osteoporotic treatment.

Indexed as

Bone DensityHumansOsteoporosisRisk AssessmentRisk FactorsSpinal Fractures

Identifiers

PMID19723469
OpenAlexW2011803993

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.