Evidence map›Paper›PMID 22107913›Full record

ArticleAge and ageing2012

Determinants of fracture risk in a UK-population-based cohort of older women: a cross-sectional analysis of the Cohort for Skeletal Health in Bristol and Avon (COSHIBA).

Emma M Clark, Virginia C Gould, Leigh Morrison, Tahir Masud, Jon Tobias

Registry-linked trialAbstract read
In one paragraph

Article in Age and ageing, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00463905 (Evaluation of the Impact of a Case-finding Strategy for Vertebral Fractures on Bisphosphonate and Other Drug Prescribing in Primary Care, Using the Cohort for Skeletal Health in Bristol and Avon), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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.

NCT00463905 nacompletednot on this map

Evaluation of the Impact of a Case-finding Strategy for Vertebral Fractures on Bisphosphonate and Other Drug Prescribing in Primary Care, Using the Cohort for Skeletal Health in Bristol and Avon (COSHIBA)

TypeinterventionalSponsorUniversity of BristolRan2007 to 2011Enrolled3,200ConditionsOsteoporosis, Vertebral FractureArmsClinical assessment +/- radiography
3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Impact of mild and moderate/severe vertebral fractures on physical activity: a prospective study of older women in the UK.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2019
    Article
  5. Habitual levels of higher, but not medium or low, impact physical activity are positively related to lower limb bone strength in older women: findings from a population-based study using accelerometers to classify impact magnitude.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2017
    Article
  6. Article
  7. Natural history, reasons for, and impact of low/non-adherence to medications for osteoporosis in a cohort of community-dwelling older women already established on medication: a 2-year follow-up study.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
  8. Article
  9. 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
  10. Article
  11. Article
  12. Article
  13. Frax prediction without BMD for assessment of osteoporotic fracture risk.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists
    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

5 authors.

Emma M ClarkAcademic Rheumatology, University of Bristol, Bristol, UK. emma.clark@bristol.ac.uk
Virginia C Gould
Leigh Morrison
Tahir Masud
Jon Tobias

Funding

Arthritis Research UK
6 · The paper itself

Abstract

backgroundIdentification of individuals with high fracture risk from within primary care is complex. It is likely that the true contribution of falls to fracture risk is underestimated.

methodsCross-sectional analysis of a population-based cohort of 3,200 post-menopausal women aged 73 ± 4 years. Self-reported data were collected on fracture, osteoporosis clinical risk factors and falls/mobility risk factors. Self-reported falls were compared with recorded falls on GP computerised records. Multivariable logistic regression was used to identify independent risk factors for fracture.

resultsA total of 838 (26.2%) reported a fracture after aged 50; 441 reported falling more than once per year, but 69% of these had no mention of falls on their computerised GP records. Only age [odds ratios (OR): 1.37 per 5 year increase, 95% confidence interval (CI): 1.23-1.53], height (1.02 per cm increase, 95% CI: 1.01-1.04), weight (OR: 0.99 per kg increase, 95% CI: 0.98-0.99) and falls (OR: 1.49 for more than once per year compared with less, 95% CI: 1.13-1.94) were independent risk factors for fracture. Falls had the strongest association.

conclusionWhen identifying individuals with high fracture risk we estimate that more than one fall per year is at least twice as important as height and weight. Furthermore, using self-reported falls data is essential as computerised GP records underestimate falls prevalence.

Indexed as

Accidental FallsAgedBody HeightBody WeightCohort StudiesCross-Sectional StudiesEnglandFemaleFractures, BoneHumansPrevalenceRisk

Identifiers

PMID22107913
PMCPMC3234077

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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.