Evidence map›Paper›PMID 42199098›Full record

ArticleBone & joint research2026

The design process for orthopaedic implants : an introduction.

Radovan Zdero, Pawel Brzozowski, Emil H Schemitsch, Irene Yang

Abstract read
In one paragraph

Article in Bone & joint research, 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

4 authors.

Radovan ZderoVictoria Hospital, London Health Sciences Centre Research Institute, London, Canada.ORCID 0000-0003-0853-3402
Pawel BrzozowskiVictoria Hospital, London Health Sciences Centre Research Institute, London, Canada.ORCID 0000-0001-6557-7159
Emil H SchemitschVictoria Hospital, London Health Sciences Centre Research Institute, London, Canada.ORCID 0000-0002-6435-9069
Irene YangVictoria Hospital, London Health Sciences Centre Research Institute, London, Canada.ORCID 0000-0001-9316-6787

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orthopaedic implants consist of engineered devices for various surgical uses, such as plates or nails used to fix fractures; plates, rods, or cages used for spinal fusion, total hip or knee arthroplasties, and osteoconductive bone scaffolds. The implant design process typically involves the complicated interaction of interdisciplinary teams, client consultation, concept generation, concept ranking, prototype fabrication, engineering analysis, etc. However, the process can also be described as having four major aspects, each of which has a feedback loop if modifications are needed. The first is the design and fabrication, which can include factors such as geometry, surface finish, special features, material selection, and methods of fabrication. The second involves mechanical/engineering analysis, which could involve factors such as stress risers, stress shielding, elastic stiffness, failure strength, and fatigue life. The third is biological/clinical analysis, which may involve factors such as biocompatibility, bioresorbability, bone remodelling, surgical simplicity, and clinical outcomes. The fourth is marketplace evaluation, which might involve factors such as cost-effectiveness, patent acquisition, regulatory approval, demographic suitability, and ecological sustainability. These aspects, or the specific factors within each aspect, can occur sequentially step by step, simultaneously side by side, in different orders, or by some combination of all of these options. This article is a brief practical introduction to the design process for orthopaedic implants.

Identifiers

PMID42199098
PMCPMC13213497

What OpenQuestion holds

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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.