Evidence map›Paper›PMID 33649966›Full record

ArticleArchives of osteoporosis2021

FRAX-based fracture probabilities in South Africa.

Helena Johansson, Sapna S Dela, Bilkish Cassim, Farhanah Paruk, Susan L Brown, Magda Conradie, Nicholas C Harvey, Johannes D Jordaan, Asgar A Kalla, Enwu Liu and 7 more

Abstract read
In one paragraph

Article in Archives of osteoporosis, 2021. 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
–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

12 citing papers in PubMed.

  1. Article
  2. A surrogate FRAX model for Nepal.Archives of osteoporosis · 2024
    Article
  3. Prevalence of HIV-associated osteoporosis and fracture risk in midlife women: a cross-sectional study in Zimbabwe.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Article
  4. Review
  5. Article
  6. Race-specific FRAX models are evidence-based and support equitable care: a response to the ASBMR Task Force report on Clinical Algorithms for Fracture Risk.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
    Article
  7. Review
  8. Review
  9. The Impact of Human Immunodeficiency Virus and Menopause on Bone Mineral Density: A Longitudinal Study of Urban-Dwelling South African Women.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2023
    Article
  10. Incidence and number of fragility fractures of the hip in South Africa: estimated projections from 2020 to 2050.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022
    Article
  11. Article
  12. 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

17 authors.

Helena JohanssonMary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
Sapna S DelaDepartment of Internal Medicine, Edendale Hospital, School of Clinical Medicine (SCM), University of KwaZulu-Natal, Durban, South Africa.
Bilkish CassimDepartment of Geriatrics, School of Clinical Medicine (SCM), College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Farhanah ParukDivision of Internal Medicine, School of Clinical Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Susan L BrownDepartment of Medicine, Mahathma Gandhi Memorial Hospital, Durban, South Africa.
Magda ConradieDivision of Endocrinology, University of Stellenbosch, Stellenbosch, South Africa.
Nicholas C HarveyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Johannes D JordaanDivision of Orthopaedics, University of Stellenbosch, Stellenbosch, South Africa.
Asgar A KallaDivision of Rheumatology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Enwu LiuMary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
Mattias LorentzonMary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
Mkhululi LukheleDepartment of Orthopaedics, University of Witwatersrand, Witwatersrand, South Africa.
Eugene V McCloskeyCentre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, S10 2RX, Sheffield, UK.
Ozayr MohamedDiscipline of Public Health Medicine, SCM, College of Health Sciences, UKZN, Durban, South Africa.
Pariva ChutterpaulDivision of Internal Medicine, School of Clinical Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Liesbeth VandenputMary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
John A KanisMary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia. w.j.pontefract@shef.ac.uk.

Funding

Department of Health 10/33/04Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Versus Arthritis 21231
6 · The paper itself

Abstract

The hip fracture rates in South Africa were used to create ethnic-specific FRAX® models to facilitate fracture risk assessment.

introductionThe aim of this study was to develop FRAX models to compute the 10-year probability of hip fracture and major osteoporotic fracture and assess their potential clinical application.

methodsAge- and sex-specific incidence of hip fracture and national mortality rates were incorporated into a FRAX model for the White, Black African, Coloured and Indian population of South Africa. Age-specific 10-year probabilities of a major osteoporotic fracture were calculated in women to determine fracture probabilities at a femoral neck T score of -2.5 SD, or those equivalent to a woman with a prior fragility fracture. Fracture probabilities were compared with those from selected countries.

resultsProbabilities were consistently higher in Indian than in Coloured men and women, in turn, higher than in Black South Africans. For White South Africans, probabilities were lower than in Indians at young ages up to the age of about 80 years. When a BMD T score of -2.5 SD was used as an intervention threshold, FRAX probabilities in women age 50 years were approximately 2-fold higher than in women of the same age but with an average BMD and no risk factors. The increment in risk associated with the BMD threshold decreased progressively with age such that, at the age of 80 years or more, a T score of -2.5 SD was no longer a risk factor. Probabilities equivalent to women with a previous fracture rose with age and identified women at increased risk at all ages.

conclusionsThese FRAX models should enhance accuracy of determining fracture probability amongst the South African population and help guide decisions about treatment.

Indexed as

Hip FracturesOsteoporotic FracturesAged, 80 and overBone DensityFemaleFemur NeckHumansMaleMiddle AgedRisk AssessmentRisk FactorsSouth AfricaEpidemiologyFracture probabilityFRAXHip fractureOsteoporosisSouth Africa

Identifiers

PMID33649966
PMCPMC7921059

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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.