Evidence map›Paper›PMID 28814842›Full record

ArticleClinical interventions in aging2017

BFH-OSTM, a new predictive screening tool for identifying osteoporosis in elderly Han Chinese males.

JiSheng Lin, Yong Yang, XiaoDong Zhang, Zhao Ma, Hao Wu, Yongjin Li, Xiuquan Yang, Qi Fei, Ai Guo

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-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

5 citing papers in PubMed, 7 citations in OpenAlex.

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

9 authors at 2 institutions in 2 countries.

JiSheng LinDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Xicheng District, Beijing, People's Republic of China.
Yong YangDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Xicheng District, Beijing, People's Republic of China.
XiaoDong ZhangDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Xicheng District, Beijing, People's Republic of China.
Zhao MaDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Xicheng District, Beijing, People's Republic of China.
Hao WuFangzhuang Community Health Service Center, Fengtai District, Beijing, People's Republic of China.
Yongjin LiTuanjiehu Community Health Service Center, Chaoyang District, Beijing, People's Republic of China.
Xiuquan YangWangzuo Community Health Service Center, Fengtai District, Beijing, People's Republic of China.
Qi FeiDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Xicheng District, Beijing, People's Republic of China.
Ai GuoDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Xicheng District, Beijing, People's Republic of China.
Capital Medical University · CNCommunity Health Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop and validate a new clinical screening tool to identify primary osteoporosis by dual-energy X-ray absorptiometry (DXA) in two elderly Han Chinese male populations.

methodsA cross-sectional study was conducted, enrolling 1,870 community-dwelling and 574 hospital-checkup elderly Han Chinese males aged ≥50 years. All subjects completed a structured questionnaire and had their bone mineral density (BMD) measured using DXA. Using logistic regression analysis in the 1,870 community-dwelling males, we assessed the ability of numerous potential clinical risk factors to identify male with osteoporosis. Multiple variable regression analysis and item reduction yielded a final tool named the Beijing Friendship Hospital Osteoporosis Self-assessment Tool for Elderly Male (BFH-OSTM). Receiver operating characteristic (ROC) curve was generated to compare the validation of the BFH-OSTM and Osteoporosis Self-assessment Tool for Asians (OSTA) for identifying elderly male at increased the risk of primary osteoporosis in the 574 hospital-checkup males.

resultsIn screening the 1,870 community-dwelling subjects with DXA, 14.2% (266/1,870) had osteoporosis, and a further 51.8% (969/1,870) had osteopenia. Of the items screened in the questionnaire, weight, height and previous history of fragility fracture were predictive of osteoporosis. A final tool (BFH-OSTM) was based on body weight and fragility fracture history only. The BFH-OSTM index (cutoff =70) had a sensitivity of 85% and specificity of 53% for identifying osteoporosis according to the WHO criteria, with an area under the ROC curve of 0.763. The predictive value of BFH-OSTM was validated in the 574 hospital-checkup population, which performed better than OSTA.

conclusionThe BFH-OSTM may perform well for identifying elderly male at increased risk for osteoporosis and applying it would result in more prudent use of BMD measurement by DXA, especially for Han Chinese male.

Indexed as

Body WeightAbsorptiometry, PhotonAgedAsian PeopleBone DensityChinaCross-Sectional StudiesFractures, BoneHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisOsteoporosisRisk AssessmentRisk Factorsbone mineral densitymaleosteoporosisrisk factorsscreening

Identifiers

PMID28814842
PMCPMC5546188
OpenAlexW2742127794

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.