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Record W4281674911 · doi:10.1139/cjpp-2021-0731

Innate and adaptive immune cells associate with arteriovenous fistula maturation and failure

2022· review· en· W4281674911 on OpenAlexvenueno aff
Gunimat Samra, Vikrant Rai, Devendra K. Agrawal

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2022
Typereview
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsInflammationProinflammatory cytokineImmune systemImmunologyInfiltration (HVAC)MedicineAcquired immune systemInnate immune system

Abstract

fetched live from OpenAlex

Creation of arteriovenous fistula (AVF) causes local injury, resulting in immune response of the body and infiltration of immune cells. Acute inflammation is favorable to control inflammation and proceed AVF toward maturation while chronic inflammation in AVF leads to AVF maturation failure. Chronic inflammation in AVF is due to chronic infiltration of immune cells and secretion of inflammatory cytokines. A balance between proinflammatory and anti-inflammatory response is a must for AVF maturation and an overwhelmed proinflammatory infiltrate causes chronic inflammation and AVF failure. As immune cell infiltration plays a critical role in maturation and failure of AVF, it is important to investigate the role of immune cells as well as their density in early and late phase of AVF maturation. The role of inflammation has been discussed in the literature and this review article focuses on the role of pro- and anti-inflammatory immune cells, including macrophages, dendritic cells (DCs), T-cells, and T-regulatory (Treg) cells in AVF maturation and maturation failure.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.276
Teacher spread0.255 · 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

Citations16
Published2022
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Physiology and PharmacologySame topicVascular Malformations Diagnosis and TreatmentFrench-language works237,207