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Record W4410475816 · doi:10.1016/j.trre.2025.100936

Cardiac allograft vasculopathy and the endothelial glycocalyx: a missing link?

2025· review· en· W4410475816 on OpenAlexaff
Mitchell J. Wagner, Michael Khoury, Jennifer Conway, Darren H. Freed

Bibliographic record

VenueTransplantation Reviews · 2025
Typereview
Languageen
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsStollery Children's HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicineGlycocalyxLink (geometry)CardiologyInternal medicineImmunologyComputer network

Abstract

fetched live from OpenAlex

Cardiac allograft vasculopathy (CAV) is a significant contributor to graft loss following heart transplantation, with a linear cumulative incidence over time. Both immune and non-immune risk factors are associated with the development of CAV, however, a cohesive mechanistic link between them is yet to be established. Immune and non-immune risk factors may be linked to CAV via disturbance of the endothelial glycocalyx (EGX), a protective vascular structure whose functions appear to be impaired in the context of CAV progression. In this review, we present this hypothesis, summarizing the evidence and implications for EGX loss during CAV. We synthesize a novel model that places EGX disturbance at the center of CAV pathogenesis. As a currently incurable disease, we highlight that this new model may unlock new approaches to prevention and therapy and requires further research.

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: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.038
GPT teacher head0.345
Teacher spread0.306 · 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
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

Citations0
Published2025
Admission routes1
Has abstractno

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