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Record W103792911 · doi:10.1155/2005/847621

Hepatic Hydrothorax: How Would You Manage It?

2005· article· en· W103792911 on OpenAlexaff
Hassan Alsharif, Sat Sharma

Bibliographic record

VenueCanadian Respiratory Journal · 2005
Typearticle
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineAscitesHydrothoraxPleural effusionRadiologySurgeryGeneral surgery

Abstract

fetched live from OpenAlex

A 53-year-old woman with a history of chronic alcoholism presented with symptomatic large right-sided pleural effusion with no evidence of ascites. After a diagnosis of hepatic hydrothorax was established, her symptoms improved with therapeutic thoracentesis. She required multiple emergency department visits for recurrent right-sided pleural effusion treated with urgent therapeutic taps. Hepatic hydrothorax is a relatively infrequent but potentially serious complication of liver cirrhosis. The management of hepatic hydrothorax, usually required in symptomatic patients, is controversial and contradictory. The case summary is followed by a question regarding available management options. The pathophysiology of hepatic hydrothorax, the role of various therapeutic options and the current favoured therapy for this not so uncommon disorder are reviewed.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0080.006
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 head0.031
GPT teacher head0.264
Teacher spread0.233 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations7
Published2005
Admission routes1
Has abstractyes

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