Evidence map›Paper›PMID 32532279›Full record

Observational studyBMC musculoskeletal disorders2020

Factors associated with screening positive for high falls risk in fragility fracture patients: a cross-sectional study.

Nooshin K Rotondi, Dorcas E Beaton, Rebeka Sujic, Earl Bogoch, Taucha Inrig, Denise Linton, Jennifer Weldon, Ravi Jain, Joanna E M Sale

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC musculoskeletal disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Nooshin K RotondiFaculty of Health Sciences, Ontario Tech University, 2000 Simcoe St. North, Oshawa, Ontario, L1H 7K4, Canada. nooshin.rotondi@uoit.ca.
Dorcas E BeatonMusculoskeletal Health & Outcomes Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
Rebeka SujicMusculoskeletal Health & Outcomes Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
Earl BogochMusculoskeletal Health & Outcomes Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
Taucha InrigMusculoskeletal Health & Outcomes Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
Denise LintonMusculoskeletal Health & Outcomes Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
Jennifer WeldonOsteoporosis Canada, Toronto, Ontario, Canada.
Ravi JainOsteoporosis Canada, Toronto, Ontario, Canada.
Joanna E M SaleMusculoskeletal Health & Outcomes Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe sought to report the prevalence of fragility fracture patients who were screened at high falls risk using a large provincial database, and to determine the characteristics associated with being screened at high falls risk.

methodsThe study population included fragility fracture patients 50+ years of age who were screened at 35 hospital fracture clinics in Ontario over a 3.5 year period. The outcome was based on two screening questions measuring the risk of falling, both adapted from the STEADI (Stopping Elderly Accidents, Deaths & Injuries) tool. Multivariable associations of sociodemographic, fracture-related, and health-related characteristics were evaluated using logistic regression.

resultsOf the sample, 9735 (44.5%) patients were classified as being at high falls risk, and 12,089 (55.3%) were not. In the multivariable logistic regression, being 80+ years of age (vs. 50-64 years of age), non-community dwelling (vs. living with spouse, family member, roommate), having a mental/physical impairment (vs. none), and taking multiple medications, were all strongly associated with being screened at high falls risk.

conclusionsLiving in a non-community dwelling and taking 4+ medications were the variables most strongly associated with being screened at high falls risk. These are potentially modifiable characteristics that should be considered when assessing falls risk in fragility fracture patients, and particularly when designing interventions for preventing subsequent falls. Ongoing work to address the higher risk of falls in the fragility fracture population is warranted.

Indexed as

Fractures, BoneAccidental FallsAgedAged, 80 and overCross-Sectional StudiesFemaleGeriatric AssessmentHumansIndependent LivingLogistic ModelsMaleMiddle AgedMultivariate AnalysisOntarioRisk AssessmentRisk FactorsCross-sectional observational studyDeaths & Injuries)Fragility fractureRisk of fallingSTEADI (Stopping Elderly Accidents

Identifiers

PMID32532279
PMCPMC7291444

What OpenQuestion holds

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Registered trials

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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.