Evidence map›Paper›PMID 33371026›Full record

ArticleBMJ open2020

The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project.

Erjiang E, Tingyan Wang, Lan Yang, Mary Dempsey, Attracta Brennan, Ming Yu, Wing P Chan, Bryan Whelan, Carmel Silke, Miriam O'Sullivan and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

14 authors at 6 institutions in 4 countries.

Erjiang EDepartment of Industrial Engineering, Tsinghua University, Beijing, China.ORCID 0000-0001-7108-5740
Tingyan WangDepartment of Industrial Engineering, Tsinghua University, Beijing, China.
Lan YangDepartment of Industrial Engineering, Tsinghua University, Beijing, China.
Mary DempseySchool of Engineering, National University of Ireland Galway, Galway, Ireland.
Attracta BrennanSchool of Computer Science, National University of Ireland Galway, Galway, Ireland.
Ming YuDepartment of Industrial Engineering, Tsinghua University, Beijing, China.
Wing P ChanDepartment of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Bryan WhelanSchool of Medicine, National University of Ireland Galway, Galway, Ireland.
Carmel SilkeSchool of Medicine, National University of Ireland Galway, Galway, Ireland.
Miriam O'SullivanSchool of Medicine, National University of Ireland Galway, Galway, Ireland.
Bridie RooneyDepartment of Geriatric Medicine, Sligo University Hospital, Sligo, Ireland.
Aoife McPartlandDepartment of Rheumatology, Our Lady's University Hospital, Manorhamilton, Ireland.
Gráinne O'MalleySchool of Medicine, National University of Ireland Galway, Galway, Ireland.
John J CareySchool of Medicine, National University of Ireland Galway, Galway, Ireland john.j.carey@nuigalway.ie.ORCID 0000-0001-7292-2328
Ollscoil na Gaillimhe – University of Galway · IETsinghua University · CNOur Lady's Hospital · IESligo University Hospital · IEUniversity of Oxford · GBWan Fang Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of the Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project is to create a large retrospective cohort of adults in Ireland to examine the validity of DXA diagnostic classification, risk assessment tools and management strategies for osteoporosis and osteoporotic fractures for our population.

participantsThe cohort includes 36 590 men and women aged 4-104 years who had a DXA scan between January 2000 and November 2018 at one of 3 centres in the West of Ireland. FINDINGS TO DATE: 36 590 patients had at least 1 DXA scan, 6868 (18.77%) had 2 scans and 3823 (10.45%) had 3 or more scans. There are 364 unique medical disorders, 186 unique medications and 46 DXA variables identified and available for analysis. The cohort includes 10 349 (28.3%) individuals who underwent a screening DXA scan without a clear fracture risk factor (other than age), and 9947 (27.2%) with prevalent fractures at 1 of 44 skeletal sites. FUTURE PLANS: The Irish DXA HIP Project plans to assess current diagnostic classification and risk prediction algorithms for osteoporosis and fractures, identify the risk predictors for osteoporosis and develop novel, accurate and personalised risk prediction tools, by using the large multicentre longitudinal follow-up cohort. Furthermore, the dataset may be used to assess, and possibly support, multimorbidity management due to the large number of variables collected in this project.

Indexed as

Medical InformaticsOsteoporosisAbsorptiometry, PhotonAdolescentAdultAgedAged, 80 and overBone DensityChildChild, PreschoolFemaleHumansIrelandMaleMiddle AgedNutrition Surveysbone diseaseshealth informaticsrheumatologyrisk management

Identifiers

PMID33371026
PMCPMC7751214
OpenAlexW3112903851

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.