Evidence map›Paper›PMID 38642281›Full record

Observational studyArchives of osteoporosis2024

The association of FRAX with predictors of falls in the assessment of postmenopausal osteoporosis in Turkey: the fracture study of Turkey (FRACT study).

Sansin Tuzun, Ulku Akarirmak, Bilal Kulaksiz, Aslinur Keles, Dilara Okutan, Pinar Karsli, Sevgi Selin Kurtoglu, Eren Aygun, Deniz Palamar

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Archives of osteoporosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 22% 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.

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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Fracture probability is predictive of fall-associated hospitalization: the Manitoba BMD Registry.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    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

9 authors at 1 institution in 1 country.

Sansin TuzunDepartment of Physical Medicine and Rehabilitation, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Fatih, Istanbul, Turkey. sansin.tuzun@iuc.edu.tr.
Ulku AkarirmakDepartment of Physical Medicine and Rehabilitation, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Fatih, Istanbul, Turkey.
Bilal KulaksizDepartment of Physical Medicine and Rehabilitation, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Fatih, Istanbul, Turkey.
Aslinur KelesDepartment of Physical Medicine and Rehabilitation, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Fatih, Istanbul, Turkey.
Dilara OkutanDepartment of Physical Medicine and Rehabilitation, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Fatih, Istanbul, Turkey.
Pinar KarsliDepartment of Physical Medicine and Rehabilitation, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Fatih, Istanbul, Turkey.
Sevgi Selin KurtogluDepartment of Physical Medicine and Rehabilitation, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Fatih, Istanbul, Turkey.
Eren AygunDepartment of Physical Medicine and Rehabilitation, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Fatih, Istanbul, Turkey.
Deniz PalamarDepartment of Physical Medicine and Rehabilitation, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Fatih, Istanbul, Turkey.
Istanbul University-Cerrahpaşa · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although FRAX is used for fracture risk evaluation, this tool does not include balance and fall risk. The association between the predictors of falls and high FRAX scores we found in this study suggests that risk indicators for falls may add substantial value to FRAX by improving fracture risk prediction. PURPOSE: This observational, descriptive, and cross-sectional study aimed to assess the fall risk predictors and explore their association with FRAX in Turkish patients with postmenopausal osteoporosis.

methodsTwo hundred and nine (209) women with postmenopausal osteoporosis referred to the Fracture Liaison Service (FLS) at Istanbul University-Cerrahpaşa were enrolled in the FRACT study (The Fracture Study of Turkey). Clinical risk factors were assessed using the FRAX tool. Tandem stance, Tandem walking, Timed up and go (TUG), and Chair stand tests were performed to assess balance and fall risk.

resultsAmong patients with a mean age of 67.6 (± 9.7) years, 66 patients (31.6%) had osteoporosis without fractures and 143 patients (68.4%) had fragility fractures. The proportion of patients with poor performance of fall prediction tests was significantly higher in patients with a fragility fracture than those with osteoporosis alone. There was an inverse relationship between dynamic balance tests and the reported number of prior falls in the past year. FRAX score was higher in patients with impaired Tandem stance, Tandem walking, and TUG tests (p = 0.008, p = 0.035, p = 0.001, respectively).

conclusionAssessment of fall risk predictors should be one of the major pillars in the physical evaluation of osteoporotic patients in the FLS setting. FRAX is a useful tool to determine the fracture risk of patients with both static and dynamic balance impairments. Combining balance assessment with FRAX may be an important step to optimize osteoporosis risk assessment.

Indexed as

OsteoporosisOsteoporosis, PostmenopausalOsteoporotic FracturesAgedBone DensityCross-Sectional StudiesFemaleHumansRisk AssessmentRisk FactorsTurkeyBalanceFall risk predictorsFRAXPostmenopausal osteoporosis

Identifiers

PMID38642281
PMCPMC11032283
OpenAlexW4394976357

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.