Evidence map›Paper›PMID 32715094›Full record

ArticleOsteoporosis and sarcopenia2020

Comparison of the Osteoporosis Self-Assessment Tool for Asians and the fracture risk assessment tool - FRAX to identify densitometric defined osteoporosis: A discriminatory value analysis in a multi-ethnic female population in Southeast Asia.

Manju Chandran, Yun Ann Chin, Kuan Swen Choo, Wan Chen Ang, Xiao Feng Huang, Xiao Ming Liu, Donovan Tay, Tin Kyaw Kyaw Aung, Amin Ali, Win Pa Pa Thu and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Osteoporosis and sarcopenia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 22 citations in OpenAlex.

  1. A comprehensive evaluation of seven osteoporosis screening tools.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Review
  2. Article
  3. Revisiting the Osteoporosis Self-Assessment Tool (OST): evidence from a multi-cohort study in Asia supporting age-dependent thresholds.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  4. Performance and interventional cutoffs of osteoporosis self-assessment tools in the community: implications for screening and early referral.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
  5. Barriers and solutions for global access to osteoporosis management: a Position Paper from the International Osteoporosis Foundation.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Review
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  10. Development and validation of a predictive model for vertebral fracture risk in osteoporosis patients.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
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  20. Cost-effectiveness of FRAX®-based intervention thresholds for management of osteoporosis in Singaporean women.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
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 at 5 institutions in 2 countries.

Manju ChandranOsteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Singapore.
Yun Ann ChinDepartment of Endocrinology, Singapore General Hospital, Singapore.
Kuan Swen ChooDepartment of Endocrinology, Singapore General Hospital, Singapore.
Wan Chen AngDepartment of Dermatology, Changi Genera Hospital, Singapore.
Xiao Feng HuangOsteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Singapore.
Xiao Ming LiuOsteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Singapore.
Donovan TayDivision of Medicine, Sengkang General Hospital, Singapore.
Tin Kyaw Kyaw AungDivision of Medicine, Sengkang General Hospital, Singapore.
Amin AliDivision of Medicine, Sengkang General Hospital, Singapore.
Win Pa Pa ThuDepartment of Obstetrics and Gynaecology, National University Hospital, Singapore.
Susan LoganDepartment of Obstetrics and Gynaecology, National University Hospital, Singapore.
Sean Xuexian YanDepartment of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore.
Sarath LekamwasamFaculty of Medicine, University of Ruhuna, Galle, Sri Lanka.
Ying HaoHealth Services Research Unit (HSRU), Singapore General Hospital, Singapore.
Singapore General Hospital · SGSengkang General Hospital · SGNational University Hospital · SGChangi General Hospital · SGUniversity of Ruhuna · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe accuracy of FRAX® as a screening tool to identify osteoporosis and how it compares with tools such as Osteoporosis Self-Assessment Tool for Asians (OSTA), in Southeast Asian women has so far been unexplored. We aimed to determine the FRAX® thresholds that accurately identify densitometric osteoporosis and to compare its performance with that of OSTA for this purpose.

methodsSingaporean postmenopausal women (n = 1056) were evaluated. FRAX® Major Osteoporotic Fracture Probability (MOFP), Hip Fracture Probability (HFP) scores, and OSTA indices were calculated. Receiver operating characteristic (ROC) curves were constructed and via the Youden index, the optimal cut-off points of balanced sensitivity and specificity for dual energy X-ray absorptiometry (DXA)-defined osteoporosis were identified and the performance characteristics were compared.

resultsA FRAX® MOFP threshold of ≥3.7% had sensitivity, specificity, positive predictive value and negative predictive value of 0.78 (0.73-0.83), 0.63 (0.59-0.66), 0.4 (0.36-0.44), and 0.9 (0.87-0.92), respectively in identifying osteoporosis. The corresponding values for a HFP threshold of ≥0.6% were 0.85 (0.80-0.89), 0.58 (0.55-0.62), 0.39 (0.35-0.43), and 0.92 (0.9-0.94) and that for an OSTA index cut-off of ≤ -1.2 were 0.76 (0.70-0.81), 0.74 (0.71-0.77), 0.48 (0.43-0.54), and 0.91 (0.88-0.93). The area under the ROC curves were 82.8% (79.9%-85.6%), 77.6% (74.2%-81%), and 79.6% (76.5%-82.8%) for OSTA, MOFP, and HFP thresholds respectively.

conclusionsFRAX® and OSTA perform comparably in identifying osteoporosis in our population. OSTA has only 2 parameters and may be simpler to use. However, FRAX® may also have a role in primary screening to identify the postmenopausal woman to be referred for DXA scanning and may help facilitate fracture risk reduction discussions with the patient.

Indexed as

AsiaAssessment thresholdFRAXOSTAOsteoporosisScreening

Identifiers

PMID32715094
PMCPMC7374549
OpenAlexW3017947359

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.