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Record W4292598911 · doi:10.34067/kid.0002542022

Innate Immunity and SARS-CoV-2 Vaccine Response in Hemodialysis Patients

2022· article· en· W4292598911 on OpenAlexafffund
Nicolas Valentini, Lorie Marchitto, Maxime Raymond, Guillaume Goyette, Daniel E. Kaufmann, Andrés Finzi, Rita S. Suri, Caroline Lamarche

Bibliographic record

VenueKidney360 · 2022
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsMcGill UniversityCentre Hospitalier de l’Université de MontréalMcGill University Health CentreUniversité de MontréalHôpital Maisonneuve-Rosemont
FundersCanadian Institutes of Health ResearchCanada Foundation for InnovationFondation du CHUM
KeywordsMedicineImmunologyHemodialysisAntibody responseInnate immune systemMonocyteImmunitySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)AntibodyPlasmacytoid dendritic cellAntigenVirologyCoronavirus disease 2019 (COVID-19)Dendritic cellImmune systemInternal medicineDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Patients receiving hemodialysis (HD) have more inflammatory monocytes and less plasmacytoid dendritic cells (DCs) compared with healthy controls.Patients on HD who have a poor antibody response to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine had fewer monocyte-derived DCs and conventional DCs compared with good responders.The defects in antigen presentation might be possible therapeutic targets to increase vaccine efficacy in HD patients.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.327
Teacher spread0.298 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2022
Admission routes2
Has abstractyes

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