Evidence map›Paper›PMID 29067485›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2018

The role of previous falls in major osteoporotic fracture prediction in conjunction with FRAX in older Chinese men and women: the Mr. OS and Ms. OS cohort study in Hong Kong.

Y Su, J Leung, T Kwok

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In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.3field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  3. Review
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  5. Review
  6. Article
  7. Performance of the Fracture Risk Assessment Tool Associated with Muscle Mass Measurements and Handgrip to Screen for the Risk of Osteoporosis in Young Postmenopausal Women.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022
    Article
  8. Management of Osteoporosis in Men: A Narrative Review.International journal of molecular sciences · 2021
    Review
  9. Article
  10. Article
  11. Review
  12. Fracture prediction from self-reported falls in routine clinical practice: a registry-based cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2019
    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

3 authors at 1 institution in 2 countries.

Y SuDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China.ORCID http://orcid.org/0000-0002-9107-3082
J LeungJockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
T KwokDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China. tkwok@cuhk.edu.hk.
Chinese University of Hong Kong · HK

Funding

National Institutes of Health R01 grant AR049439-01A1Research Grants Council Earmarked Grant CUHK 4101/02 M
6 · The paper itself

Abstract

Falls are a major concern in terms of fracture risk. Although awareness rising for the absence of falls in the FRAX algorithm, our study only identified the independent predictive role of previous recurrent falls and their better conjunction use with FRAX for major osteoporotic fracture prediction in older Chinese men.

introductionAlthough the association of falls with fracture has been widely explored, the impact of previous falls is not included in the FRAX algorithm currently. Our aim was to examine the FRAX-independent associations between falls in the previous year and subsequent fracture risk, as well as the conjunctive use of falls and the FRAX score for major osteoporotic fracture (MOF) prediction in older Chinese people.

methodsFour thousand community older men and women aged 65 years or older were followed up for 9.9 ± 2.7 and 8.8 ± 1.5 years, respectively. The associations between falls in the previous 1 year and MOF risk by follow-up years were evaluated using the Fine and Gray model. New prediction scores were calculated by incorporating the falls and FRAX scores using the Fine and Gray model, or developed by adjusting the FRAX scores by 30% increased risk for each fall in the previous year. The predictive powers for MOF risk between the new scores and FRAX scores were evaluated by the area under the curve (AUC) and category-based net reclassification improvement index (NRI).

resultsDuring the follow-up period, 139 (7.0%) men and 236 (11.8%) women had at least one incident MOF. One previous fall significantly predicted the first year incident MOF in men [hazard ratio (HR) (95%CI), 3.47 (1.02, 11.80)]. Previous recurrent falls significantly predicted a 10-year incident MOF in men [HR (95%CI), 2.42 (1.30, 4.51)]. In men, the fall-adjusting FRAX scores showed significant improvement on total net reclassification of fracture (3-6%). No improved predictive accuracy shown in women.

conclusionFalls in the previous year are likely to provide some predictive power to FRAX for MOF risk assessment in older Chinese men, but not women.

Indexed as

Accidental FallsAgedBone DensityCohort StudiesFemaleFollow-Up StudiesHong KongHumansMaleOsteoporosisOsteoporotic FracturesRecurrenceRisk AssessmentSex FactorsFallsFRAXMajor osteoporotic fracturesRisk prediction

Identifiers

PMID29067485
OpenAlexW2765083843

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.