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Record W2565439906

HEAD-NECK TAPER CORROSION OF ARTIFICIAL HIP JOINTS

2018· article· en· W2565439906 on OpenAlexaff
Richard Dyrkacz, O.A. Ojo, Thomas R. Turgeon, J. Brandt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFrettingCorrosionMaterials scienceHead (geology)MetallurgyCrevice corrosionGeology
DOInot available

Abstract

fetched live from OpenAlex

Summary Corrosion and fretting damage at the head-neck interface of artificial hip joints is more severe with larger head sizes. This is a concern, as the release of metal particles and ions can cause adverse tissue reactions, similar to those observed high wear metal-on-metal articulations. Introduction In the last few years corrosion was increasingly observed at head-neck interfaces of artificial hip joints, especially in joints with larger heads. There has always been evidence of some corrosion at modular junctions of artificial joints, but except for few designs, it was not seen as a real problem. It is important to better understand the factors contributing to corrosion at modular interfaces, so that necessary improvements can be made to minimise or completely avoid corrosion, in order to avoid possible adverse tissue reactions. Methods Over 100 retrieved stems and heads of 28, 32, 36, 40 and larger heads with metal-on-polyethylene (MoP) and metal-on-metal (MoM) articulations were scored for corrosion and fretting damage, in order to get a better picture of the magnitude of the problem. For some of the head sizes it was possible to assess the fretting and corrosion damage separately from implants from two different manufacturers. The tapers of the stem and head were subdivided into eight regions each, and scored for the severity of fretting and corrosion damage, as well as of the affected area within each sub-section. The scoring was undertaken by three persons with a fair intraclass correlation. The fretting and corrosion scores were also assessed based on the location of the center of the head with respect to the center of the taper. The distance between these two centers influences the toggling motion between the head and neck, as the main load is about 30 degrees out of axis during walking and other activities of daily living. Results It was found that head-neck interfaces of two manufacturers of 36mm heads had significantly more corrosion than 28mm heads. There is a significant relationship between head and neck fretting damage, and between corrosion and fretting damage. There is also more corrosion damage in 32, 40 and larger heads, but these groups were from different manufacturers, so that it was not possible to perform statistical tests. More corrosion was observed when the centre of the head was at a larger distance from the centre of the head, leading to an increased toggling moment due to the out-of-axis loading. Discussion It is of some concern that more corrosion is being observed with larger heads. Corrosion generally gets worse over time, which could negatively impact on the long-term behavior of these hip joints. Furthermore, it is possible that the metal particle and ion release due to corrosion and fretting could have adverse soft tissue reactions, similar to those observed at some MoM articulations. The fact that there are significant differences in the observed corrosion and fretting damage between the head-neck interfaces of two companies, indicates that even subtle changes in the geometry and the machined taper surface are important. A better understanding of these factors is required to make sure that the corrosion and fretting damage is minimised, or even better eliminated for all heads of artificial joints.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.283
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes1
Has abstractyes

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