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Record W4362640874 · doi:10.1016/j.jhepr.2023.100749

Innovative approaches to the management of ascites in cirrhosis

2023· review· en· W4362640874 on OpenAlexaff
Florence Wong

Bibliographic record

VenueJHEP Reports · 2023
Typereview
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsAscitesMedicineCirrhosisParacentesisHepatic encephalopathyRifaximinTransjugular intrahepatic portosystemic shuntIntensive care medicineInternal medicinePortal hypertensionGastroenterologySurgeryAntibiotics

Abstract

fetched live from OpenAlex

Standard of care for the treatment of ascites in cirrhosis is to administer a sodium-restricted diet and diuretic therapy. The progression of cirrhosis will eventually lead to the development of refractory ascites, at which point diuretics will no longer be able to control the ascites. Second-line therapies such as a transjugular intrahepatic portosystemic shunt (TIPS) placement or repeat large volume paracentesis are then required. There is some evidence that regular infusions of albumin may delay the onset of refractoriness and improve survival, especially if given at an early stage in the natural history of ascites and for a long enough duration. The use of TIPS can eliminate ascites, but its insertion is associated with complications, especially cardiac decompensation and worsening of hepatic encephalopathy. New information is now available regarding how to best select patients for TIPS, what type of cardiac investigations are needed and how under-dilating the TIPS at the time of insertion may help. The use of a non-absorbable antibiotics, such as rifaximin, starting in the pre-TIPS period may also reduce the likelihood of post-TIPS hepatic encephalopathy. In patients who are not suitable for TIPS, the use of an alfapump to remove the ascites via the bladder can improve quality of life without significantly altering survival. In the future it may be possible to use metabolomics to help refine the management of patients with ascites, e.g. to assess their response to non-selective beta-blockers or to predict the development of other complications such as acute kidney injury.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.864
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.296
GPT teacher head0.366
Teacher spread0.070 · 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 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

Citations18
Published2023
Admission routes1
Has abstractyes

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