Evidence map›Paper›PMID 32700118›Full record

ArticleArchives of osteoporosis2020

Use of age-dependent FRAX-based intervention thresholds for Singapore.

John A Kanis, Manju Chandran, Siok Bee Chionh, Ganga Ganeson, Nicholas C Harvey, Woon-Puay Koh, Timothy Kwok, Tang Ching Lau, Enwu Liu, Mattias Lorentzon and 4 more

Abstract read
In one paragraph

Article in Archives of osteoporosis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Prevalence of osteoporosis and incidence of related fractures in developed economies in the Asia Pacific region: a systematic review.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
    Pooled it
  2. A surrogate FRAX model for Mongolia.Archives of osteoporosis · 2025
    Article
  3. A surrogate FRAX model for Nepal.Archives of osteoporosis · 2024
    Article
  4. 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
  5. Article
  6. Performance of FRAX in older adults with frailty: the Framingham Heart Study.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. A new FRAX model for Brazil.Archives of osteoporosis · 2023
    Article
  8. Article
  9. Article
  10. Using health-economic evidence to support policy-level decision-making in Singapore-sensitivity analysis that provides further confidence in fracture probability-based cost-effective intervention thresholds.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    Article
  11. A surrogate FRAX model for Pakistan.Archives of osteoporosis · 2021
    Article
  12. FRAX and ethnicity.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    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

14 authors.

John A KanisCentre for Metabolic Bone Diseases, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK. w.j.Pontefract@shef.ac.uk.
Manju ChandranOsteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Singapore, Singapore, Singapore.
Siok Bee ChionhDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Ganga GanesonDivision of Policy, Research and Evaluation, Ministry of Health, Singapore, Singapore.
Nicholas C HarveyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Woon-Puay KohHealth Services and Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Timothy KwokDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Tang Ching LauDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Enwu LiuMary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
Mattias LorentzonMary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
Eugene V McCloskeyCentre for Metabolic Bone Diseases, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK.
Kelvin Bryan TanMinistry of Health Singapore, Singapore, Singapore.
Liesbeth VandenputMary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
Helena JohanssonCentre for Metabolic Bone Diseases, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK.

Funding

Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
COHORT STUDY OF DIET AND NASOPHYARYNGEAL CANCERR01CA055069 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YU, MIMI C. · 1992 to 1992
–
NCI NIH HHS R01 CA055069NCI NIH HHS R01 CA144034
6 · The paper itself

Abstract

Assessment and treatment pathways based on age-specific intervention thresholds in Singapore using FRAX paths can be used to identify patients at high risk of fracture and avoid unnecessary treatment in those at low risk. PURPOSE: Intervention thresholds for the treatment of osteoporosis have been based historically on the measurement of bone mineral density. The development of FRAX® has permitted a more accurate assessment of fracture risk. The aim of the present study was to explore treatment paths and characteristics of women selected for treatment in Singapore based on FRAX.

methodsThe approach to the setting of intervention and assessment thresholds used the methodology adopted by the National Osteoporosis Guideline Group for FRAX-based guidelines in the UK but based on the epidemiology of fracture and death in Singapore. The methodology was applied to women age 50 years or more drawn from the population-based Singapore Chinese Health Study (SCHS) cohort. Missing data for the calculation of FRAX was simulated using data from Chinese cohorts from Hong Kong.

resultsIntervention thresholds expressed as a 10-year probability of a major osteoporotic fracture ranged from 2.9% at the age of 50 years increasing to 32% at the age of 90 years. A total of 1927 of 29,323 women (7%) had a prior fragility fracture and would be eligible for treatment for this reason. An additional 3019 women (10.3%) would be eligible for treatment on the basis of age-dependent thresholds. The mean BMD T-score of women so selected was -2.94.

conclusionProbability-based assessment of fracture risk using age-specific intervention thresholds was developed for Singapore to help guide decisions about treatment.

Indexed as

Diabetes Mellitus, Type 2OsteoporosisOsteoporotic FracturesAdultAgedAged, 80 and overBone DensityFemaleHumansMiddle AgedRisk AssessmentRisk FactorsSingaporeFracture risk assessmentFRAXIntervention thresholdOsteoporosis

Identifiers

PMID32700118
PMCPMC7376084

What OpenQuestion holds

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LicenceCC BY
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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.