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

Overview of attention for article published in Clinical Interventions in Aging, July 2017
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2 X users
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1 Google+ user

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Title
BFH-OSTM, a new predictive screening tool for identifying osteoporosis in elderly Han Chinese males
Published in
Clinical Interventions in Aging, July 2017
DOI 10.2147/cia.s140553
Pubmed ID
Authors

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

Abstract

To 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. A 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. In 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. The 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.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 25%
Student > Doctoral Student 1 6%
Lecturer > Senior Lecturer 1 6%
Student > Master 1 6%
Researcher 1 6%
Other 0 0%
Unknown 8 50%
Readers by discipline Count As %
Nursing and Health Professions 3 19%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Sports and Recreations 1 6%
Social Sciences 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 8 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 August 2017.
All research outputs
#15,048,620
of 25,584,565 outputs
Outputs from Clinical Interventions in Aging
#966
of 1,962 outputs
Outputs of similar age
#166,591
of 327,299 outputs
Outputs of similar age from Clinical Interventions in Aging
#22
of 32 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,962 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,299 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.