Evidence map›Paper›PMID 33102805›Full record

ArticleOsteoporosis and sarcopenia2020

Estimating regional bone mineral density-based T-scores using clinical information; tools validated for postmenopausal women in Sri Lanka.

Hewa Walpola Amila Sewwandi Subasinghe, Sarath Lekamwasam, Patrick Ball, Hana Morrissey, Eisha Waidyaratne

Open access · diamondAbstract read
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Article in Osteoporosis and sarcopenia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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 2 countries.

Hewa Walpola Amila Sewwandi SubasingheDepartment of Pharmacy, Faculty of Allied Health Sciences, University of Ruhuna, Sri Lanka.
Sarath LekamwasamFaculty of Medicine, University of Ruhuna, Sri Lanka.
Patrick BallSchool of Pharmacy, University of Wolverhampton, United Kingdom.
Hana MorrisseySchool of Pharmacy, University of Wolverhampton, United Kingdom.
Eisha WaidyaratneFaculty of Medicine, University of Ruhuna, Sri Lanka.
University of Ruhuna · LKUniversity of Wolverhampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to develop and validate a country specific osteoporosis risk assessing tool for Sri Lankan postmenopausal women.

methodsCommunity-dwelling postmenopausal women were enrolled to development (n = 602) and validation (n = 339) samples. Clinical risk factors (CRFs) of osteoporosis were assessed. Bone mineral densities (BMD) of femoral neck, total hip and lumbar spine were assessed by dual energy X-ray absorptiometry (DXA) scan. Radial ultrasound (US) bone scan was done. Linear regression analysis was performed in development sample considering regional BMDs as dependent and CRFs as independent variables. Regression equations were developed to estimate regional BMDs using best predictive CRFs. Sensitivity, specificity, positive and negative predictive values (PPV and NPV) were assessed to validate the new tools.

resultsAge, body weight and US T-scores showed positive correlations with BMDs of all 3 sites. Two osteoporosis risk assessing tools (OPRATs) were developed as OPRAT-1 and OPRAT-2. Prevalence of osteoporosis, in the validation sample was 74.3%. Sensitivity were high in both tools (OPRAT-1 and OPRAT-2; 83.2% and 82.5%) while specificity were moderate (44.8% for both). PPV of OPRAT-1 and OPRAT-2 were 79.5% and 81.2%. Both tools showed moderate NPV (OPRAT-1 and OPRAT-2; 51% and 47%).

conclusionsBoth OPRAT-1 and OPRAT-2 have high performance in screening postmenopausal women in Sri Lanka for risk of osteoporosis. OPRAT-2 is more convenient and can be used in any healthcare setting with limited resources to identify women who will be benefitted by DXA. OPRAT-1 can be used if the radial US facility is available.

Indexed as

Bone mineral densityOsteoporosisPostmenopausal womenScreeningSri Lanka

Identifiers

PMID33102805
PMCPMC7573505
OpenAlexW3087188141

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LicenceCC BY-NC-ND
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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.