SynthesisBMC geriatrics2014
Fracture risk in long term care: a systematic review and meta-analysis of prospective observational studies.
Synthesis in BMC geriatrics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Risk factors for refracture or new vertebral compression fractures after percutaneous vertebroplasty: a systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025Pooled it
- Hip fracture rate and osteoporosis treatment in Ontario: A population-based retrospective cohort study.Archives of osteoporosis · 2024Article
- Injury-related emergency department use among assisted living residents with Alzheimer's disease and related dementias.Journal of the American Geriatrics Society · 2023Article
- Osteoporosis and diabetes - possible links and diagnostic difficulties.Reumatologia · 2023Review
- Factors Associated with Falls in Canadian Long Term Care Homes: a Retrospective Cohort Study.Canadian geriatrics journal : CGJ · 2022Article
- Changes in Underweight Status and Risk of Hip Fracture: A Korean Nationwide Population-Based Cohort Study.Journal of clinical medicine · 2022Article
- Strategies for the implementation of an electronic fracture risk assessment tool in long term care: a qualitative study.BMC geriatrics · 2021Article
- Association between BMI variability and risk of fracture among Korean men and women: a population based study.Archives of osteoporosis · 2021Article
- Fracture Risk Assessment in Long-term Care (FRAiL): Development and Validation of a Prediction Model.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018Article
- Utilization of bone mineral density testing among breast cancer survivors in British Columbia, Canada.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2017Observational
- Article
- Predicting imminent risk for fracture in patients aged 50 or older with osteoporosis using US claims data.Archives of osteoporosis · 2016Article
- Rural-urban differences in the prevalence of cognitive impairment in independent community-dwelling elderly residents of Ojiya city, Niigata Prefecture, Japan.Environmental health and preventive medicine · 2016Article
- Comparative trends in incident fracture rates for all long-term care and community-dwelling seniors in Ontario, Canada, 2002-2012.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundThe risk factors associated with fractures have been well-characterized in community dwelling populations, but have not been clearly defined in long-term care (LTC) settings. The objective of this review was to identify risk factors for fractures in LTC settings.
methodsWe searched MEDLINE, the Cochrane Library, EMBASE and CINAHL up to June 2014, scanned reference lists of articles and consulted with experts in the field to identify relevant prospective cohort studies that evaluated risk factors associated with fracture incidence in LTC. We included studies that assessed the association between risk factors included in the WHO-Fracture Risk Assessment Tool (FRAX®) or other predictors relevant to LTC (psychotropic medications, cognitive impairment, mobility, and falls). All articles were screened and extracted by two authors. Available data on the association between a given risk factor and fracture incidence were pooled when possible. We used the GRADE criteria to provide a summary of evidence. The GRADE approach defines the quality of a body of evidence as the extent to which one can be confident that an estimate of effect or association is close to the quantity of specific interest.
resultsWe identified 13 prospective cohort studies which examined fracture incidence among LTC residents. Most predictors showed moderate increases in fracture risk, but the quality of the evidence was often low. Moderate quality evidence showed that prior fractures and falls may moderately increase the risk of fractures. Being a woman and cognitive impairment are probably associated with a small increase. The effect of mobility and psychotropic medication use is still uncertain primarily due to the various definitions used in the studies and difficulty summarising the results.
conclusionsIn addition to criteria used in the FRAX assessment tool, such as a previous fracture and female gender, we found that falls and cognitive impairment are also associated with a small to moderate increases in the risk of fractures in LTC. Developing an assessment tool that includes risk factors that are specific to LTC may improve the identification of individuals who can benefit from fracture prevention programs in these settings.
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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.