Evidence map›Paper›PMID 28864698›Full record

ArticleBMJ open2017

Development and validation of the Fracture Risk Scale (FRS) that predicts fracture over a 1-year time period in institutionalised frail older people living in Canada: an electronic record-linked longitudinal cohort study.

George Ioannidis, Micaela Jantzi, Jenn Bucek, Jonathan D Adachi, Lora Giangregorio, John Hirdes, Laura Pickard, Alexandra Papaioannou

Abstract readValidation Study
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Controversies in Osteoporosis Treatment of Nursing Home Residents.Journal of the American Medical Directors Association · 2022
    Review
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  13. Short time horizons for fracture prediction tools: time for a rethink.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    Article
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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

8 authors.

George IoannidisDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Micaela JantziDepartment of Health Studies and Gerontology, University of Waterloo, Waterloo, Ontario, Canada.
Jenn BucekDepartment of Health Studies and Gerontology, University of Waterloo, Waterloo, Ontario, Canada.
Jonathan D AdachiDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Lora GiangregorioDepartment of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada.
John HirdesDepartment of Health Studies and Gerontology, University of Waterloo, Waterloo, Ontario, Canada.
Laura PickardDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Alexandra PapaioannouDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo develop and validate our Fracture Risk Scale (FRS) over a 1-year time period, using the long-term care (LTC) Resident Assessment Instrument Minimum Data Set Version 2.0 (RAI-MDS 2.0).

designA retrospective cohort study.

settingLTC homes in Ontario, Canada.

participantsOlder adults who were admitted to LTC and received a RAI-MDS 2.0 admission assessment between 2006 and 2010.

resultsA total of 29 848 LTC residents were enrolled in the study. Of these 22 386 were included in the derivation dataset and 7462 individual were included in the validation dataset. Approximately 2/3 of the entire sample were women and 45% were 85 years of age or older. A total of 1553 (5.2%) fractures were reported over the 1-year time period. Of these, 959 (61.8%) were hip fractures. Following a hip fracture, 6.3% of individuals died in the emergency department or as an inpatient admission and did not return to their LTC home. Using decision tree analysis, our final outcome scale had eight risk levels of differentiation. The percentage of individuals with a hip fracture ranged from 0.6% (lowest risk level) to 12.6% (highest risk level). The area under the curve of the outcome scale was similar for the derivation (0.67) and validation (0.69) samples, and the scale exhibited a good level of consistency.

conclusionsOur FRS predicts hip fracture over a 1-year time period and should be used as an aid to support clinical decisions in the care planning of LTC residents. Future research should focus on the transformation of our scale to a Clinical Assessment Protocol and to assess the FRS in other healthcare settings.

Indexed as

Frail ElderlyFrailtyHip FracturesLong-Term CareAccidental FallsAdolescentAdultAgedAged, 80 and overArea Under CurveBody Mass IndexFemaleForecastingGeriatric AssessmentHumansLongitudinal StudiesFractureFrail Older AdultsPrediction ModelResident Assessment Instrument Minimum Data Set Version 2.0

Identifiers

PMID28864698
PMCPMC5588955

What OpenQuestion holds

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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.