Evidence map›Paper›PMID 27142632›Full record

Trial reportBMC geriatrics2016

A combination of clinical balance measures and FRAX® to improve identification of high-risk fallers.

David A Najafi, Leif E Dahlberg, Eva Ekvall Hansson

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC geriatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00988572 (Vestibular Rehabilitation for Patients With Fall-related Wrist Fractures - a Randomized Controlled Trial), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.4field-weighted citation impact, top 5% of its field
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.

NCT00988572 nacompletednot on this map

Vestibular Rehabilitation for Patients With Fall-related Wrist Fractures - a Randomized Controlled Trial

TypeinterventionalSponsorLund UniversityRan2009 to 2014Enrolled82ConditionsWrist Fractures, DizzinessArmsVestibular rehabilitation
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Validation of FRAX and the impact of self-reported falls among elderly in a general population: the HUNT study, Norway.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
  9. 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

3 authors at 1 institution in 1 country.

David A NajafiDepartment of Health Sciences, Health Sciences Centre, Lund University, Baravägen 3, 22240, Lund, Sweden.
Leif E DahlbergDepartment of Clinical Sciences, Lund University, Lund, Sweden.
Eva Ekvall HanssonDepartment of Health Sciences, Health Sciences Centre, Lund University, Baravägen 3, 22240, Lund, Sweden. eva.ekvall-hansson@med.lu.se.
Lund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe FRAX® algorithm quantifies a patient's 10-year probability of a hip or major osteoporotic fracture without taking an individual's balance into account. Balance measures assess the functional ability of an individual and the FRAX® algorithm is a model that integrates the individual patients clinical risk factors [not balance] and bone mineral density. Thus, clinical balance measures capture aspects that the FRAX® algorithm does not, and vice versa. It is therefore possible that combining FRAX® and clinical balance measures can improve the identification of patients at high fall risk and thereby high fracture risk. Our study aim was to explore whether there is an association between clinical balance measures and fracture prediction obtained from FRAX®.

methodA cross-sectional study design was used where post hoc was performed on a dataset of 82 participants (54 to 89 years of age, mean age 71.4, 77 female), with a fall-related wrist-fracture between 2008 and 2012. Balance was measured by tandem stance, standing one leg, walking in the figure of eight, walking heel to toe on a line, walking as fast as possible for 30 m and five times sit to stand balance measures [tandem stance and standing one leg measured first with open and then with closed eyes] and each one analyzed for bivariate relations with the 10-year probability values for hip and major osteoporotic fractures as calculated by FRAX® using Spearman's rank correlation test.

resultsIndividuals with high FRAX® values had poor outcome in balance measures; however the significance level of the correlation differed between tests. Standing one leg eyes closed had strongest correlation to FRAX® (0.610 p = < 0.01) and Five times sit to stand was the only test that did not correlate with FRAX® (0.013).

conclusionThis study showed that there is an association between clinical balance measures and FRAX®. Hence, the use of clinical balance measures and FRAX® in combination, might improve the identification of individuals with high risk of falls and thereby following fractures. Results enable healthcare providers to optimize treatment and prevention of fall-related fractures.

trial registrationThe study has been registered in Clinical Trials.gov, registration number NCT00988572 .

Indexed as

AlgorithmsPostural BalanceAccidental FallsAgedAged, 80 and overBone DensityCross-Sectional StudiesFemaleHumansMaleMiddle AgedOsteoporotic FracturesRisk AssessmentRisk FactorsBalanceFallsFractureFRAX®

Identifiers

PMID27142632
PMCPMC4855351
OpenAlexW2346014839

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.