Evidence map›Paper›PMID 42110968›Full record

ArticleJBMR plus2026

DXA-derived biofidelic finite element models for quantifying the efficacy of hip protectors.

Dheeraj Jha, Yijun Zhou, Anitha D Praveen, Ellie S Galliker, Preeti Gupta, Ecosse L Lamoureux, Namki Hong, Yumie Rhee, Halldór Pálsson, Stephen J Ferguson and 1 more

Abstract read
In one paragraph

Article in JBMR plus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Dheeraj JhaFuture Health Technologies, Singapore-ETH Centre, CREATE Campus, Singapore 138602, Singapore.ORCID https://orcid.org/0009-0007-3192-2437
Yijun ZhouFuture Health Technologies, Singapore-ETH Centre, CREATE Campus, Singapore 138602, Singapore.ORCID https://orcid.org/0000-0003-3961-0466
Anitha D PraveenFuture Health Technologies, Singapore-ETH Centre, CREATE Campus, Singapore 138602, Singapore.ORCID https://orcid.org/0000-0001-7174-139X
Ellie S GallikerInstitute for Biomechanics, Department of Health Sciences and Technology, ETH Zürich, 8092 Zürich, Switzerland.ORCID https://orcid.org/0000-0002-1775-5608
Preeti GuptaPopulation Health Research Platform, Singapore Eye Research Institute (SERI), Singapore 169856, Singapore.ORCID https://orcid.org/0000-0002-8285-0783
Ecosse L LamoureuxPopulation Health Research Platform, Singapore Eye Research Institute (SERI), Singapore 169856, Singapore.ORCID https://orcid.org/0000-0001-8674-5705
Namki HongDepartment of Internal Medicine, Research Institute of Endocrinology, Yonsei University College of Medicine, Seoul 06916, South Korea.ORCID https://orcid.org/0000-0002-8246-1956
Yumie RheeDepartment of Internal Medicine, Research Institute of Endocrinology, Yonsei University College of Medicine, Seoul 06916, South Korea.ORCID https://orcid.org/0000-0003-4227-5638
Halldór PálssonDepartment of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, 102 Reykjavik, Iceland.ORCID https://orcid.org/0000-0003-4112-6729
Stephen J FergusonFuture Health Technologies, Singapore-ETH Centre, CREATE Campus, Singapore 138602, Singapore.ORCID https://orcid.org/0000-0003-0650-5889
Benedikt HelgasonFuture Health Technologies, Singapore-ETH Centre, CREATE Campus, Singapore 138602, Singapore.ORCID https://orcid.org/0000-0001-8324-2651

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to develop a tool to predict the probability of hip fracture given a fall, using biofidelic finite element models (FEMs) built from DXA scans. Additionally, we evaluated the effectiveness of hip protectors, assuming full compliance, by quantifying the reduction in relative risk in-silico. This study included 700 subjects (325 males and 375 females) from the Population Health and Eye Disease Profile in Elderly Singaporeans (PIONEER) cohort, consisting of Chinese, Indian, and Malay ethnicities. The probability of hip fracture was calculated using DXA-based biofidelic FEMs by simulating various falls. The relative risk was determined by comparing fracture probabilities between falls with and without hip protectors. The overall probability of hip fracture in the cohort (mean age: 71.5 yr) was 4.49% (SD: 4.71). Chinese males had a significantly higher fracture risk, with odds ratios of 3.15 (95% CI: 1.81-5.49) compared to Malay males, and 4.57 (95% CI, 2.21-9.44) compared to Indian males. Similarly, Chinese females had a higher fracture risk, with odds ratios of 2.22 (95% CI, 1.16-4.24) compared to Malay females, and 7.70 (95% CI, 2.30-25.76) compared to Indian females. The relative risk with hip protectors was 0.38 (SD: 0.28) for males overall, with subgroup values of 0.42 (SD: 0.29) for Chinese, 0.33 (SD: 0.29) for Indians, and 0.38 (SD: 0.26) for Malays. For females, the overall relative risk was 0.43 (SD: 0.28), with subgroup values of 0.41 (SD: 0.21) for Chinese, 0.37 (SD: 0.32) for Indian, and 0.51 (SD: 0.29) for Malay, with no significant differences between ethnicities. In conclusion, we have developed an in-silico tool to assess hip fracture risk and evaluate the effectiveness of hip protectors using clinical DXA scans. These findings support the adoption of hip protectors as a preventive measure to reduce fracture risk.

Indexed as

DXAfinite element modelinghip fracture probabilityhip protectorrelative risk

Identifiers

PMID42110968
PMCPMC13156511

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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.