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Record W4283268473 · doi:10.1097/pg9.0000000000000210

Secondary Ammonia Scavenge With Glycerol Phenylbutyrate Improves Hyperammonemia Following Portosystemic Shunting

2022· article· en· W4283268473 on OpenAlexaff
Simone Kortbeek, Christy Gilkes, Alfred K. Yeung

Bibliographic record

VenueJPGN Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsSaskatchewan Health AuthoritySaskatchewan HealthUniversity of Calgary
Fundersnot available
KeywordsHyperammonemiaMedicinePortosystemic shuntPhenylbutyratePortal hypertensionHepatic encephalopathyCirrhosisGastroenterologyPortal venous pressureInternal medicineRefractory (planetary science)

Abstract

fetched live from OpenAlex

Portosystemic shunts are used to treat portal hypertension arising from extrahepatic portal venous obstruction. They decompress the portal system by allowing intestinal blood to bypass the liver and enter directly into the systemic circulation. These shunts increase the risk of minimal hepatic encephalopathy and altered neurodevelopmental outcomes in affected children. Treatment options are limited and have been extrapolated from those used in cirrhosis. We describe the use of glycerol phenylbutyrate as an alternate management strategy. A 3-year-old boy underwent distal splenorenal shunt for refractory variceal bleeding secondary to portal hypertension. He had neurologic deterioration and hyperammonemia refractory to traditional management strategies. Glycerol phenylbutyrate was initiated and resulted in a sustained improvement in ammonia levels, behavior, and school performance. This case illustrates the successful use of glycerol phenylbutyrate in a noncirrhotic patient with Portosystemic shunt and minimal hepatic encephalopathy refractory to conventional management strategies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.718

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)0.0000.000

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 head0.005
GPT teacher head0.208
Teacher spread0.203 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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