Evidence map›Paper›PMID 25279040›Full record

ArticleMalaysian orthopaedic journal2012

Performance of Osteoporosis Self-assessment Tool for Asian (OSTA) for Primary Osteoporosis in Post-menopausal Malay Women.

Daj Muslim, Ef Mohd, Ay Sallehudin, Tms Tengku Muzaffar, Am Ezane

Open access · goldAbstract read
In one paragraph

Article in Malaysian orthopaedic journal, 2012. 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
0.8field-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

20 citing papers in PubMed, 35 citations in OpenAlex.

  1. A comprehensive evaluation of seven osteoporosis screening tools.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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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

5 authors at 2 institutions in 1 country.

Daj MuslimDepartment of Orthopaedics, Universiti Sains Malaysia, Kota Bharu, Malaysia.
Ef MohdDepartment of Orthopaedics, Universiti Sains Malaysia, Kota Bharu, Malaysia.
Ay SallehudinDepartment of Orthopaedics, Universiti Sains Malaysia, Kota Bharu, Malaysia.
Tms Tengku MuzaffarDepartment of Orthopaedics, Universiti Sains Malaysia, Kota Bharu, Malaysia.
Am EzaneDepartment of Radiology, Hospital Universiti Sains Malaysia, Kota Bharu, Malaysia.
Universiti Sains Malaysia · MYHospital Universiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractThe Osteoporosis Self-Assessment Tool for Asians (OSTA) score has been developed to identify women at risk of osteoporosis. It can be used as a screening tool for patients at risk who would benefit from bone mineral density measurement and treatment. It was developed based on data from eight countries including Malaysia. However, most subjects were of Chinese (59%). This study evaluated the performance of OSTA among 152 post-menopausal Malay women. OSTA score calculation and DEXA scan were performed. Our results showed that the OSTA score is a good predictor of patients at risk of osteoporosis based on BMD measurements at the proximal femur. Instrument sensitivity was 87.5%, specificity was 95.8%, positive predictive value (PPV) was 0.538, negative predictive value (NPV) was 0.993, and the area under the receiver operating characteristic curve (ROC) was 0.895. We conclude that use of the OSTA score in postmenopausal Malay women is effective and has adequate sensitivity and specificity. KEY WORDS: Osteoporosis; post menopause; Malay; screening; OSTA.

Identifiers

PMID25279040
PMCPMC4093580
OpenAlexW2289225645

What OpenQuestion holds

Textmetadata
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.