Evidence map›Paper›PMID 31189982›Full record

ReviewNature reviews. Endocrinology2019

Fracture prediction, imaging and screening in osteoporosis.

Nicholas R Fuggle, Elizabeth M Curtis, Kate A Ward, Nicholas C Harvey, Elaine M Dennison, Cyrus Cooper

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 4 pooled it
–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

92 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Observational
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Use of DXA-derived 3D-modeling, as implemented by 3D-Shaper, for the assessment of fracture risk in a population-based setting.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Review

32 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

6 authors.

Nicholas R FuggleMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Elizabeth M CurtisMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Kate A WardMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Nicholas C HarveyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Elaine M DennisonMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Cyrus CooperMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK. cc@mrc.soton.ac.uk.ORCID http://orcid.org/0000-0003-3510-0709

Funding

Arthritis Research UKDepartment of Health 10/33/04Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Versus Arthritis 17702Versus Arthritis 19583Versus Arthritis 21231Wellcome Trust 201222/Z/16/Z
6 · The paper itself

Abstract

Osteoporosis is associated with increased fragility of bone and a subsequent increased risk of fracture. The diagnosis of osteoporosis is intimately linked with the imaging and quantification of bone and BMD. Scanning modalities, such as dual-energy X-ray absorptiometry or quantitative CT, have been developed and honed over the past half century to provide measures of BMD and bone microarchitecture for the purposes of clinical practice and research. Combined with fracture prediction tools such as Fracture Risk Assessment Tool (FRAX) (which use a combination of clinical risk factors for fracture to provide a measure of risk), these elements have led to a paradigm shift in the ability to diagnose osteoporosis and predict individuals who are at risk of fragility fracture. Despite these developments, a treatment gap exists between individuals who are at risk of osteoporotic fracture and those who are receiving therapy. In this Review, we summarize the epidemiology of osteoporosis, the history of scanning modalities, fracture prediction tools and future directions, including the most recent developments in prediction of fractures.

Indexed as

Diagnostic Screening ProgramsAbsorptiometry, PhotonBone DensityHumansOsteoporosisOsteoporotic FracturesPredictive Value of TestsRandomized Controlled Trials as TopicRisk Factors

Identifiers

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.