Evidence map›Paper›PMID 32764904›Full record

ArticleClinical interventions in aging2020

Comparison of OSTA, FRAX and BMI for Predicting Postmenopausal Osteoporosis in a Han Population in Beijing: A Cross Sectional Study.

Zihan Fan, Xiaoyu Li, Xiaodong Zhang, Yong Yang, Qi Fei, Ai Guo

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.3field-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

30 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Combining OSTA and BMR to predict osteoporosis in Chinese population.Journal of orthopaedic surgery and research · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Zihan FanDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Xiaoyu LiDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Xiaodong ZhangDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-6814-9659
Yong YangDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Qi FeiDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0001-9753-2692
Ai GuoDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo validate the efficacies of three screening tools including the Osteoporosis Self-Assessment Tool for Asians (OSTA), Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), and body mass index (BMI) for predicting postmenopausal osteoporosis (OP) and to define the ideal thresholds for avoidance of dual-energy X-ray absorptiometry (DXA) scanning in a Han Chinese population in Beijing. PATIENTS AND

methodsA total of 2055 community-dwelling Han Beijing postmenopausal females aged ≥45 years were enrolled in this study. All participants completed a questionnaire, and BMD was measured by DXA. OP was defined by a T-score at least -2.5 SD less than that of average young adults in different diagnostic criteria [lumbar spine, femoral neck, total hip, worst hip, WHO]. The abilities of the OSTA, FRAX, and BMI to predict OP were analyzed by receiver operating characteristic (ROC) curves. Sensitivity, specificity, and area under the ROC curves (AUC) were calculated. Ideal thresholds for identifying OP were proposed.

resultsThe prevalence of OP ranged from 8.1% to 28.4% according to different diagnostic criteria. The AUC range for the OSTA (0.758-0.849) was similar to the FRAX (0.728-0.855), which revealed that both tools predicted OP reliably. The AUC range for BMI was 0.643-0.682, suggesting limited predictive value. According to WHO criteria, the AUC values for the FRAX for hip fracture risk (FRAX-HF) and for the OSTA were 0.796 and 0.798, with corresponding sensitivities of 74.79% and 69.64% and specificities of 70.45% and 75.07%, respectively. At defined thresholds, the FRAX-HF and OSTA allowed avoidance of DXA in 42.4-37.6% of participants, at a cost of missing only 7.2-8.6% of individuals with OP.

conclusionThe OSTA and FRAX-HF may be reliable and effective tools for identifying postmenopausal OP in the Han Beijing population without BMD.

Indexed as

Body Mass IndexAbsorptiometry, PhotonAgedAsian PeopleBeijingBone DensityCross-Sectional StudiesFemaleFemur NeckHipHumansMiddle AgedOsteoporosisOsteoporosis, PostmenopausalRisk AssessmentROC CurveBMIFRAXOSTApostmenopausal osteoporosis

Identifiers

PMID32764904
PMCPMC7381824
OpenAlexW3043180252

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.