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Record W2378820990

Treatment of portal hypertension caused by benign main portal vein stenosis with endovascular stent(

2004· article· en· W2378820990 on OpenAlexaff
Huang Ming

Bibliographic record

VenueZhonghua fangshexian yixue zazhi · 2004
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsMedicineStenosisStentLiver transplantationPortal venous pressurePercutaneousPortal hypertensionRadiologyComplicationPortal veinVeinSurgeryPortographyTransplantationInternal medicineCirrhosis
DOInot available

Abstract

fetched live from OpenAlex

Objective To evaluate the value of endovascular stent in the treatment of portal hypertension caused by benign main portal vein stenosis.Methods Portal vein stents were implanted in (6 patients) with benign main portal vein stenosis (inflammatory stenosis in 3 cases,postprocedure of liver transplantation in another 3 cases).The change of portal vein pressure,the patency of portal vein,relative clinical symptoms,complications,and survival were evaluated.Results Six metallic stents were successfully placed across the portal vein stenotic or obstructive lesions in all 6 patients.Mean portal venous pressure decreased significantly after stent implantation from (37.3±4.7) cm H_2O (1 cm H_2O=0.098 kPa)to (18.0±1.9) cm H_2O (P0.001).The portal blood flow was restored,and the symptoms caused by portal hypertension were eliminated.There was no severe procedure-related complication.Follow-up time was from (5 to) 36 months.The portal vein remained patent during the follow-up.All patients survived except one patient who died of other complications of liver transplantation.Conclusion Percutaneous portal vein stent placement for the treatment of the benign main portal vein stenosis is safe and effective.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.012
GPT teacher head0.214
Teacher spread0.202 · 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 designCase report
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

Citations0
Published2004
Admission routes1
Has abstractyes

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