Evidence map›Paper›PMID 27536085›Full record

ArticleClinical interventions in aging2016

BFH-OST, a new predictive screening tool for identifying osteoporosis in postmenopausal Han Chinese women.

Zhao Ma, Yong Yang, JiSheng Lin, XiaoDong Zhang, Qian Meng, BingQiang Wang, Qi Fei

Open access · goldAbstract readValidation Study
In one paragraph

Article in Clinical interventions in aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

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  9. 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

7 authors at 2 institutions in 1 country.

Zhao MaDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Yong YangDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
JiSheng LinDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
XiaoDong ZhangDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Qian MengDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
BingQiang WangDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Qi FeiDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Beijing Friendship Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop a simple new clinical screening tool to identify primary osteoporosis by dual-energy X-ray absorptiometry (DXA) in postmenopausal women and to compare its validity with the Osteoporosis Self-Assessment Tool for Asians (OSTA) in a Han Chinese population.

methodsA cross-sectional study was conducted, enrolling 1,721 community-dwelling postmenopausal Han Chinese women. All the subjects completed a structured questionnaire and had their bone mineral density measured using DXA. Using logistic regression analysis, we assessed the ability of numerous potential risk factors examined in the questionnaire to identify women with osteoporosis. Based on this analysis, we build a new predictive model, the Beijing Friendship Hospital Osteoporosis Self-Assessment Tool (BFH-OST). Receiver operating characteristic curves were generated to compare the validity of the new model and OSTA in identifying postmenopausal women at increased risk of primary osteoporosis as defined according to the World Health Organization criteria.

resultsAt screening, it was found that of the 1,721 subjects with DXA, 22.66% had osteoporosis and a further 47.36% had osteopenia. Of the items screened in the questionnaire, it was found that age, weight, height, body mass index, personal history of fracture after the age of 45 years, history of fragility fracture in either parent, current smoking, and consumption of three of more alcoholic drinks per day were all predictive of osteoporosis. However, age at menarche and menopause, years since menopause, and number of pregnancies and live births were irrelevant in this study. The logistic regression analysis and item reduction yielded a final tool (BFH-OST) based on age, body weight, height, and history of fracture after the age of 45 years. The BFH-OST index (cutoff =9.1), which performed better than OSTA, had a sensitivity of 73.6% and a specificity of 72.7% for identifying osteoporosis, with an area under the receiver operating characteristic curve of 0.797.

conclusionBFH-OST may be a powerful and cost-effective new clinical risk assessment tool for prescreening postmenopausal women at increased risk for osteoporosis by DXA, especially for Han Chinese women.

Indexed as

Absorptiometry, PhotonBone DensitySelf-AssessmentAdultAgedAged, 80 and overChinaCross-Sectional StudiesFemaleFractures, BoneHumansLogistic ModelsMass ScreeningMiddle AgedMultivariate AnalysisOsteoporosis, Postmenopausalosteoporosisosteoporosis screening toolvalidationwomen

Identifiers

PMID27536085
PMCPMC4976819
OpenAlexW2476159458

What OpenQuestion holds

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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.