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Record W2902517160 · doi:10.3138/jammi.2017-0009

Management of hepatitis C in a patient undergoing solid organ (kidney) transplant

2018· article· en· W2902517160 on OpenAlexaffvenue
Parmvir Parmar, Curtis Cooper

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2018
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineContext (archaeology)DialysisHepatitis CTransplantationLiver diseaseKidney transplantationKidneyIntensive care medicineEnd stage renal diseaseRenal transplantLiver transplantationInternal medicineKidney diseaseDiseaseBiology

Abstract

fetched live from OpenAlex

Many patients with hepatitis C (HCV) suffer from concurrent renal disease requiring dialysis and eventual renal transplant. HCV treatment with direct-acting antivirals (DAA) is safe and effective in the context of renal transplant, but the optimal timing of treatment in proximity to transplant remains a focus of debate. We present the case of a 60-year-old male with HCV genotype 3 infection. He failed two prior interferon-based treatments, underwent previous separate liver and kidney transplants, and is currently under evaluation for a second kidney transplant for end-stage renal disease (ESRD). Using this illustrative case, we discuss topics pertinent to the evaluation and clinical care of HCV-infected renal transplant candidates including evaluation for a simultaneous liver-kidney transplant in the context of HCV infection, optimal timing of HCV treatment with respect to transplantation, and the safety and monitoring requirements during DAA treatment in renal transplant candidates.

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)0.003
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.005
GPT teacher head0.245
Teacher spread0.240 · 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
Published2018
Admission routes2
Has abstractyes

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Same venueJournal of the Association of Medical Microbiology and Infectious Disease CanadaSame topicHepatitis C virus researchFrench-language works237,207