Evidence map›Paper›PMID 26981519›Full record

ArticleJournal of bone metabolism2016

Osteoporotic Fracture Risk Assessment Using Bone Mineral Density in Korean: A Community-based Cohort Study.

Eun Jin Jang, Young-Kyun Lee, Hyung Jin Choi, Yong-Chan Ha, Sunmee Jang, Chan Soo Shin, Nam Han Cho

Open access · bronzeAbstract read
In one paragraph

Article in Journal of bone metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. The Korean hip fracture registry study.BMC musculoskeletal disorders · 2023
    Observational
  7. Review
  8. Article
  9. Experimental and therapeutic medicine · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

7 authors at 5 institutions in 1 country.

Eun Jin JangDepartment of Information Statistics, Andong National University, Andong, Korea.
Young-Kyun LeeDepartment of Orthopaedic Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
Hyung Jin ChoiDepartment of Anatomy, Seoul National University College of Medicine, Seoul, Korea.
Yong-Chan HaDepartment of Orthopaedic Surgery, School of Medicine, Chung-Ang University College of Medicine, Seoul, Korea.
Sunmee JangCollege of Pharmacy, Gachon University, Incheon, Korea.
Chan Soo ShinDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Nam Han ChoDepartment of Preventive Medicine, Ajou University School of Medicine, Suwon, Korea.
Seoul National University · KRAjou University · KRGachon University · KRGyeongguk National University · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFracture-risk assessment tool (FRAX) using just clinical risk factors of osteoporosis has been developed to estimate individual risk of osteoporotic fractures. We developed prediction model of fracture risk using bone mineral density (BMD) as well as clinical risk factors in Korean, and assessed the validity of the final model.

methodsTo develop and validate an osteoporotic FRAX, a total of 768 Korean men and women aged 50 to 90 years were followed for 7 years in a community-based cohort study. BMD as well as clinical risk factors for osteoporotic fracture including age, sex, body mass index, history of fragility fracture, family history of fracture, smoking status, alcohol intake, use of oral glucocorticoid, rheumatoid arthritis, and other causes of secondary osteoporosis were assessed biannually.

resultsDuring the follow-up period, 86 osteoporotic fractures identified (36 in men and 50 in women). The developed prediction models showed high discriminatory power and had goodness of fit.

conclusionsThe developed a Korean specific prediction model for osteoporotic fractures can be easily used as a screening tool to identify individual with high risk of osteoporotic fracture. Further studies for validation are required to confirm the clinical feasibility in general Korean population.

Indexed as

Bone densityKoreaOsteoporotic fracturesRisk assessment

Identifiers

PMID26981519
PMCPMC4791436
OpenAlexW2296091487

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.