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Modified saphenous−peritoneal shunt in refractory ascites: new technique

2005· article· en· W1997117288 on OpenAlexaff
Jia‐Hui Chen, H.S Liu, Jyh‐Cherng Yu, Chung‐Jueng Chen, Ming‐Lang Shih, Yao‐Chi Liu, Chung‐Bao Hsieh

Bibliographic record

VenueANZ Journal of Surgery · 2005
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsNational Defence Medical Centre
Fundersnot available
KeywordsMedicineAscitesCirrhosisCreatinineGroinSurgeryPortal hypertensionIndocyanine greenShunt (medical)Internal medicineGastroenterology

Abstract

fetched live from OpenAlex

BACKGROUND: Refractory ascites is a serious complication for patients with decompensated liver cirrhosis. Saphenous-peritoneal shunting is a possible surgical treatment for its relief, but tends to lead to higher groin infections. The purpose of the present paper was to determine whether a modified procedure could resolve the problem and offer potential advantages over a peritoneo-venous shunt. METHODS: Sixteen patients with refractory ascites who received modified saphenous-peritoneal shunts were studied. Clinical data such as bodyweight, abdominal girth, indocyanine green 15-min retention rate (ICG-15), serum bilirubin concentrations, Child-Pugh Score, creatinine clearance (C(Cr)), daily urinary output, urine sodium (U(Na)) and operative complications were recorded before, and 3 months after, surgery. RESULTS: Three months after the operation, the urinary output, nutritional status and Child-Pugh scores had improved, but ICG-15 and total bilirubin output had not changed significantly. The C(Cr), U(Na) bodyweight and abdominal girth tended to decrease, but not significantly. No groin infections were noted following this procedure. CONCLUSIONS: This modified procedure not only improved the nutritional status of cirrhotic patients with refractory ascites but also improved their quality of life. Infections and obstructions decreased in the short term. However, long-term follow up is mandatory. This new technique requires more practice and experience.

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 score0.254
Threshold uncertainty score0.332

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 head0.039
GPT teacher head0.281
Teacher spread0.242 · 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

Citations3
Published2005
Admission routes1
Has abstractyes

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