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Pelvic Pseudotumor Associated With a Ceramic Bearing Total Hip

2024· article· en· W4393031588 on OpenAlexaff
Jaskaran Singh, Arash Panahifar, Roman Chernikov, William Dust

Bibliographic record

VenueJAAOS Global Research and Reviews · 2024
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsUniversity of ManitobaUniversity of SaskatchewanCanadian Light Source (Canada)
Fundersnot available
KeywordsCeramicBearing (navigation)MedicineDebrisMaterials scienceDentistryTotal hip replacementSurgeryMetallurgyGeology

Abstract

fetched live from OpenAlex

Pseudotumors have been well documented to occur most frequently in metal-metal bearing total hip arthroplasties and less frequently in metal-polyethylene bearings. There are few cases in the literature of pseudotumors occurring in ceramic-ceramic articulations. We report a case of a large pelvic pseudotumor in a patient with a ceramic-ceramic bearing articulation in a 67-year-old man. In addition to the usual investigations, we did a detailed wear analysis of the ceramic implants and an examination of the soft tissues for particulate debris. The detailed wear analysis did show evidence of stripe wear; however, the volumetric wear was within the expected range. Synchrotron imaging identified strontium and zirconium debris arising from the ceramic surfaces. Although association does not mean causation, no other cause for the large pseudotumor could be identified and presumably represents an idiosyncratic reaction to ceramic debris.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.077
GPT teacher head0.387
Teacher spread0.310 · 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 designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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