Evidence map›Paper›PMID 39106270›Full record

ArticlePloS one2024

Finite element modeling of stress distribution and safety factors in a Ti-27Nb alloy hip implant under real-world physiological loading scenarios.

Muhammad Amjad, Saeed Badshah, Sajjad Ahmad, Mujahid Badshah, Sakhi Jan, Muhammad Yasir, Waseem Akram, Imtiaz Alam Shah, Riaz Muhammad, Muhammad Imran Khan and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

11 authors.

Muhammad AmjadDepartment of Mechanical Engineering, International Islamic University, Islamabad, Pakistan.
Saeed BadshahDepartment of Mechanical Engineering, International Islamic University, Islamabad, Pakistan.
Sajjad AhmadDepartment of Mechanical Engineering, International Islamic University, Islamabad, Pakistan.
Mujahid BadshahDepartment of Mechanical Engineering, International Islamic University, Islamabad, Pakistan.
Sakhi JanDepartment of Mechanical Engineering, International Islamic University, Islamabad, Pakistan.
Muhammad YasirDepartment of Materials Science & Engineering, Institute of Space Technology, Islamabad, Pakistan.
Waseem AkramDepartment of Mechanical Engineering, International Islamic University, Islamabad, Pakistan.
Imtiaz Alam ShahDepartment of Mechanical Engineering, International Islamic University, Islamabad, Pakistan.
Riaz MuhammadMechanical Engineering Department, College of Engineering, University of Bahrain, Zallaq, Bahrain.
Muhammad Imran KhanDepartment of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University (PMU), Al-Khobar, Saudi Arabia.ORCID 0009-0004-5354-2054
Tabassam YasmeenAerospace Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Total hip arthroplasty (THA) is one of the most successful orthopaedic interventions globally, with over 450,000 procedures annually in the U.S. alone. However, issues like aseptic loosening, dislocation, infection and stress shielding persist, necessitating complex, costly revision surgeries. This highlights the need for continued biomaterials innovation to enhance primary implant integrity and longevity. Implant materials play a pivotal role in determining long-term outcomes, with titanium alloys being the prominent choice. However, emerging evidence indicates scope for optimized materials. The nickel-free β titanium alloy Ti-27Nb shows promise with excellent biocompatibility and mechanical properties. Using finite element analysis (FEA), this study investigated the biomechanical performance and safety factors of a hip bone implant made of nickel-free titanium alloy (Ti-27Nb) under actual loading during routine day life activities for different body weights. The FEA modelled physiological loads during walking, jogging, stair ascent/descent, knee bend, standing up, sitting down and cycling for 75 kg and 100 kg body weights. Comparative analyses were conducted between untreated versus 816-hour simulated body fluid (SBF) treated implant conditions to determine in vivo degradation effects. The FEA predicted elevated von Mises stresses in the implant neck for all activities, especially stair climbing, due to its smaller cross-section. Stresses increased substantially with a higher 100 kg body weight compared to 75 kg, implying risks for heavier patients. Safety factors were reduced by up to 58% between body weights, although remaining above the desired minimum value of 1. Negligible variations were observed between untreated and SBF-treated responses, attributed to Ti-27Nb's excellent biocorrosion resistance. This comprehensive FEA provided clinically relevant insights into the biomechanical behaviour and integrity of the Ti-27Nb hip implant under complex loading scenarios. The results can guide shape and material optimization to improve robustness against repetitive stresses over long-term use. Identifying damage accumulation and failure risks is crucial for hip implants encountering real-world variable conditions. The negligible SBF effects validate Ti-27Nb's resistance to physiological degradation. Overall, the study significantly advances understanding of Ti-27Nb's suitability for reliable, durable hip arthroplasties with low revision rates.

Indexed as

AlloysFinite Element AnalysisHip ProsthesisStress, MechanicalTitaniumArthroplasty, Replacement, HipBiomechanical PhenomenaHumansMaterials TestingNiobiumProsthesis DesignWeight-BearingAlloysNiobiumTitanium

Identifiers

PMID39106270
PMCPMC11302931

What OpenQuestion holds

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LicenceCC BY
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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.