MétaCan
Menu
Back to cohort
Record W4413955652 · doi:10.1002/jbm.a.37983

Implantable Medical Devices, Biomaterials, and the Foreign Body Response: A Surgical Perspective

2025· review· en· W4413955652 on OpenAlexaff
Nikita Kalashnikov, Jake E. Barralet, Joshua Vorstenbosch

Bibliographic record

VenueJournal of Biomedical Materials Research Part A · 2025
Typereview
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsBiomaterialForeign bodyImplantMedical deviceHost responseBiomedical engineeringMaterials scienceInflammatory responseMedicineSurgeryInflammationImmune systemInternal medicineImmunology

Abstract

fetched live from OpenAlex

Implantable medical devices improve quality of life and reduce mortality by restoring the form and function of the human body. Their biomaterial surface components in contact with tissues are, however, susceptible to the host's foreign body response, which drives inflammation and implant fibrous encapsulation. When dysregulated, this response causes implant-related patient morbidity and device failure, ultimately requiring revision surgery. Here, we review the roles that the biomaterial, the host, and the implantation surgery play in the foreign body response. Taking commonly-used implantable medical devices as examples, we first describe the foreign body response; then, we examine the factors influencing it, and finally, we propose ideas of how it can be controlled perioperatively in an attempt to minimize implant-related complications.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.065
GPT teacher head0.454
Teacher spread0.389 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations20
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Biomedical Materials Research Part ASame topicTissue Engineering and Regenerative MedicineFrench-language works237,207