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Record W2784149794 · doi:10.21037/amj.2017.12.10

Infectious complications of liver transplantation

2018· article· en· W2784149794 on OpenAlexaff
Molly Lin, Allison Mah, Alissa Wright

Bibliographic record

VenueAME Medical Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineLiver transplantationTransplantationIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

Abstract: Liver transplantation is a life-prolonging procedure for patients with end-stage liver disease (ESLD); however, post-transplant infections remain a leading cause of morbidity and mortality. Infection risk varies over time with issues in the early post-transplant period most commonly being related to the transplant surgery and nosocomial infections. Opportunistic infections become more common between 1 and 12 months post-transplant, owing to the greater burden of immunosuppression. Beyond 12 months, the risk of opportunistic infections wanes as immunosuppression is reduced. Recipients continue to be at risk for community acquired infections and recurrent cholangitis may become a concern in those with chronic allograft dysfunction or recurrent cholestatic liver disease. In this article, we will review an approach to infectious complications in the early, intermediate, and late period following liver transplantation with a focus on the most common infections and those of emerging concern.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.032
GPT teacher head0.354
Teacher spread0.322 · 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 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

Citations19
Published2018
Admission routes1
Has abstractyes

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