Evidence map›Paper›PMID 29440880›Full record

ArticleClinical interventions in aging2018

Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study.

XiaoDong Zhang, JiSheng Lin, Yong Yang, Hao Wu, Yongjin Li, Xiuquan Yang, Qi Fei

Open access · goldAbstract readComparative Study
In one paragraph

Article in Clinical interventions in aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 27% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  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
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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

7 authors at 2 institutions in 2 countries.

XiaoDong Zhang *Department of Orthopedics, Beijing Friendship Hospital, Capital Medical University.
JiSheng Lin *Department of Orthopedics, Beijing Friendship Hospital, Capital Medical University.
Yong YangDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University.
Hao WuFangzhuang Community Health Service Center.
Yongjin LiTuanjiehu Community Health Service Center.
Xiuquan YangWangzuo Community Health Service Center, Beijing, People's Republic of China.
Qi Fei *Department of Orthopedics, Beijing Friendship Hospital, Capital Medical University.
Capital Medical University · CNCommunity Health Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn this cross-sectional study, three clinical tools, 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 primary osteoporosis (OP) were compared and ideal thresholds for omission of screening BMD were proposed in a community-dwelling elderly Han Beijing male population. PATIENTS AND

methodsA total of 1,349 community-dwelling elderly Han Beijing males aged ≥50 years were enrolled in this study. All subjects completed a questionnaire and measured BMD by dual-energy X-ray absorptiometry (DXA). Osteoporosis was defined as a T-score of -2.5 SD or lower than that of the average young adult in different diagnostic criteria (lumbar spine [L1-L4], femoral neck, total hip, worst hip, and World Health Organization [WHO]). FRAX without BMD, OSTA, and BMI were assessed for predicting OP by receiver operating characteristic (ROC) curves. Sensitivity, specificity, and areas under the ROC curves (AUCs) were determined. Ideal thresholds for omission of screening BMD were proposed.

resultsThe prevalence of OP ranged from 1.8% to 12.8% according to different diagnostic criteria. This study showed that the BMI has highest discriminating ability. The AUC of FRAX without BMD ranged from 0.536 to 0.630, which suggested limiting predictive value for identifying OP in elderly Beijing male. The AUCs of BMI (0.801-0.880) were slightly better than OSTA (0.722-0.874) in predicting OP at all sites. The AUC of BMI to identify OP in worst hip was 0.824, yielding a sensitivity of 84.8% and a specificity of 64.4%. 40% of participants on BMD measurements saved only 0.1%-2.7% missed OP. Compared to OSTA and FRAX without BMD, the BMI got the best predictive value for OP.

conclusionBMI may be a simple and effective tool for identifying OP in the elderly male population in Beijing to omit BMD screening reasonably.

Indexed as

OsteoporosisRisk AssessmentAbsorptiometry, PhotonAgedAged, 80 and overBeijingBody Mass IndexBone DensityCross-Sectional StudiesFemur NeckHumansLumbar VertebraeMaleMiddle AgedOsteoporotic FracturesPredictive Value of TestsBMIbody mass indexFracture Risk Assessment ToolFRAXmaleOSTAosteoporosisOsteoporosis Self-Assessment Tool for Asians

Identifiers

PMID29440880
PMCPMC5798543
OpenAlexW2787778869

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.