Evidence map›Paper›PMID 41358370›Full record

ArticleAdvances in orthopedics2025

Model for Calculating Impact Force for Individualized Hip Fracture Prediction During a Fall.

Alisha Agarwal, Daniel Kargilis, Nishtha Gupta, Michael Chang, Rui Feng, Gregory Chang, Chamith S Rajapakse

Abstract read
In one paragraph

Article in Advances in orthopedics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Alisha AgarwalDepartment of Medicine, Sidney Kimmel Medical College, Philadelphia, Pennsylvania, USA, jefferson.edu.ORCID https://orcid.org/0000-0001-8858-9881
Daniel KargilisDepartment of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA, upenn.edu.
Nishtha GuptaDepartment of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA, upenn.edu.
Michael ChangDepartment of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA, upenn.edu.
Rui FengDepartment of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA, upenn.edu.
Gregory ChangDepartment of Medicine, New York University, New York, New York, USA, nyu.edu.
Chamith S RajapakseDepartment of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA, upenn.edu.

Funding

MRI Assessment of Hip Fracture Risk and Therapy Response in HIV/HCV CoinfectionR01AR076392 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI RAJAPAKSE, CHAMITH SUDESH · 2019 to 2023
$2.7M
Clinical Assessment of Hip Fracture Biomechanics using MRIR01AR068382 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI RAJAPAKSE, CHAMITH SUDESH · 2015 to 2019
$1.8M
NIAMS NIH HHS R01 AR068382NIAMS NIH HHS R01 AR076392
6 · The paper itself

Abstract

Osteoporotic-related weakening of bone is a common cause of hip fractures. The standard of care for the diagnosis and management of osteoporosis is the dual-energy x-ray absorptiometry bone mineral density T-scores. Many individuals considered nonosteoporotic, however, still sustain fractures since these tools do not incorporate vital bone parameters and subject-specific characteristics. The purpose of this work was to (1) develop a simple analytical model for estimating the force exerted on the femur during a fall (i.e., impact force) based on measurable patient metrics and (2) define a quantifiable fracture risk index by comparing finite-element-derived bone strength and impact force, which could be validated in a cohort of human subjects. Aggregated regression models were derived for estimating impact force based on patient age, weight, height, and soft tissue thickness. Patients with a history of hip fractures were then compared to a matched nonfracture group via the bone strength index (BSI), defined as the ratio between bone strength and maximum impact force. The BSI was lower in the fracture group compared to the control group by 0.23 (

Indexed as

bone strengthfracture riskhip fracture prediction modelsMRI-based finite-element analysisosteoporosispatient-specific characteristics

Identifiers

PMID41358370
PMCPMC12680545

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Registered trials

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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.