Evidence map›Paper›PMID 26632400›Full record

ArticleYonsei medical journal2016

Development and Validation of Osteoporosis Risk-Assessment Model for Korean Men.

Sun Min Oh, Bo Mi Song, Byung Ho Nam, Yumie Rhee, Seong Hwan Moon, Deog Young Kim, Dae Ryong Kang, Hyeon Chang Kim

Abstract read
In one paragraph

Article in Yonsei medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. 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
  3. 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
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  10. Performance of Osteoporosis Self-Assessment Tool (OST) in Predicting Osteoporosis-A Review.International journal of environmental research and public health · 2018
    Review
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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

8 authors.

Sun Min OhCardiovascular and Metabolic Disease Etiology Research Center, Yonsei University College of Medicine, Seoul, Korea.
Bo Mi SongCardiovascular and Metabolic Disease Etiology Research Center, Yonsei University College of Medicine, Seoul, Korea.
Byung Ho NamBiometric Research Branch, National Cancer Center, Goyang, Korea.
Yumie RheeDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Seong Hwan MoonDepartment of Orthopedics Surgery, Yonsei University College of Medicine, Seoul, Korea.
Deog Young KimResearch Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Korea.
Dae Ryong KangDepartment of Medical Humanities and Social Medicines, Ajou University School of Medicine, Suwon, Korea.
Hyeon Chang KimCardiovascular and Metabolic Disease Etiology Research Center, Yonsei University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of the present study was to develop an osteoporosis risk-assessment model to identify high-risk individuals among Korean men. MATERIALS AND

methodsThe study used data from 1340 and 1110 men ≥50 years who participated in the 2009 and 2010 Korean National Health and Nutrition Examination Survey, respectively, for development and validation of an osteoporosis risk-assessment model. Osteoporosis was defined as T score ≤-2.5 at either the femoral neck or lumbar spine. Performance of the candidate models and the Osteoporosis Self-assessment Tool for Asian (OSTA) was compared with sensitivity, specificity, and area under the receiver operating characteristics curve (AUC). A net reclassification improvement was further calculated to compare the developed Korean Osteoporosis Risk-Assessment Model for Men (KORAM-M) with OSTA.

resultsIn the development dataset, the prevalence of osteoporosis was 8.1%. KORAM-M, consisting of age and body weight, had a sensitivity of 90.8%, a specificity of 42.4%, and an AUC of 0.666 with a cut-off score of -9. In the validation dataset, similar results were shown: sensitivity 87.9%, specificity 39.7%, and AUC 0.638. Additionally, risk categorization with KORAM-M showed improved reclassification over that of OSTA up to 22.8%.

conclusionKORAM-M can be simply used as a pre-screening tool to identify candidates for dual energy X-ray absorptiometry tests.

Indexed as

Models, BiologicalAgedAsian PeopleBone DensityFemaleHumansMaleMiddle AgedNutrition SurveysOsteoporosisPredictive Value of TestsPrevalenceReproducibility of ResultsRepublic of KoreaRisk AssessmentROC CurveKoreamenOsteoporosisrisk assessment

Identifiers

PMID26632400
PMCPMC4696952

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.