Evidence map›Paper›PMID 28253896›Full record

ArticleJournal of orthopaedic surgery and research2017

Evaluation of Singh Index and Osteoporosis Self-Assessment Tool for Asians as risk assessment tools of hip fracture in patients with type 2 diabetes mellitus.

Zhenyu Liu, Hua Gao, Xiaodong Bai, Liang Zhao, Yadong Li, Baojun Wang

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Journal of orthopaedic surgery and research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 31 citations in OpenAlex.

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  18. Performance of Osteoporosis Self-Assessment Tool (OST) in Predicting Osteoporosis-A Review.International journal of environmental research and public health · 2018
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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

6 authors at 2 institutions in 1 country.

Zhenyu LiuDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Yongan Road No.95, Xicheng District, 100050, Beijing, China.
Hua GaoDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Yongan Road No.95, Xicheng District, 100050, Beijing, China.
Xiaodong BaiDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Yongan Road No.95, Xicheng District, 100050, Beijing, China.
Liang ZhaoDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Yongan Road No.95, Xicheng District, 100050, Beijing, China.
Yadong LiDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Yongan Road No.95, Xicheng District, 100050, Beijing, China.
Baojun WangDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Yongan Road No.95, Xicheng District, 100050, Beijing, China. doczhyl@hotmail.com.
Beijing Friendship Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM), an epidemic disease around world, has recently been identified as a risk factor for osteoporosis-associated fracture. However, there is no consensus on the best method of assessing fracture risk in patients with T2DM. The aim of this study was to evaluate the usefulness of the Osteoporosis Self-Assessment Tool for Asians (OSTA) and the Singh Index (SI) in hip fracture risk assessment in patients with T2DM.

methodsWe enrolled 261 postmenopausal women with T2DM: 87 had hip fracture resulting from low-energy trauma and 174 age-matched controls had no fracture (two controls per fracture case). Bone mineral density (BMD) was measured with dual-energy X-ray absorptiometry in the lumbar spine and hip region. The SI was obtained from standard antero-posterior radiographs of the pelvis. The OSTA was calculated with a formula based on weight and age. Data were analyzed with descriptive statistics and tests of difference. Receiver operating characteristic analysis was used to determine optimum cutoff values, sensitivity, and specificity of screening methods. Discriminative abilities of different screening tools were compared with the area under the curve (AUC).

resultsThere were significant differences in BMD at all sites (lumbar spine, femoral neck, trochanter, and total hip) and in SI between the fracture and non-fracture groups (P < 0.05). There was no significant difference in OSTA between the groups (P > 0.05). The area under the curve was 0.747 (95% CI: 0.680-0.813) for lumbar spine BMD, 0.699 (95% CI: 0.633-0.764) for total hip BMD, 0.659 (95% CI: 0.589-0.729) for femoral neck BMD, 0.631 (95% CI: 0.557-0.704) for trochanter BMD, 0.534 (95% CI: 0.459-0.610) for OSTA, 0.636 (95% CI: 0.564-0.709) for SI, and 0.795 (95% CI: 0.734-0.857) for OSTA plus SI. The AUC for combined OSTA plus SI was significantly superior to other parameters besides BMD of the lumbar spine.

conclusionsThe combination of OSTA plus SI could be a clinical alternative tool for screening of hip fracture risk in large diabetic populations. These tests are inexpensive and simple to perform and could be especially useful in areas where BMD measurement is not accessible.

Indexed as

Absorptiometry, PhotonAgedAged, 80 and overBone DensityDiabetes Mellitus, Type 2FemaleHip FracturesHip JointHumansLumbar VertebraeMiddle AgedOsteoporosis, PostmenopausalOsteoporotic FracturesRadiographyRetrospective StudiesRisk AssessmentHip fractureSelf-Assessment Tool for AsiansSingh IndexType 2 diabetes mellitus

Identifiers

PMID28253896
PMCPMC5335822
OpenAlexW2592232632

What OpenQuestion holds

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LicenceCC BY
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.