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Record W1513426748 · doi:10.1111/hdi.12067

Successful tunneled catheter placement in a hemodialysis patient with idiopathic multiple central venous stenoses

2013· article· en· W1513426748 on OpenAlexvenueno aff
Yuliang Zhao, Tianlei Cui, Yang Yu, Fang Liu, Ping Fu, Li Zhou, Xiao Li

Bibliographic record

VenueHemodialysis International · 2013
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisStenosisDigital subtraction angiographyPercutaneousCatheterRadiologyAngioplastyArteriovenous fistulaHemodialysis CatheterSurgeryCentral venous catheterFistulaInternal jugular veinAngiography

Abstract

fetched live from OpenAlex

Central venous stenosis (CVS) in hemodialysis patients could be secondary to central venous catheterization, high flow arteriovenous fistula, as well as extrinsic compression. However, we report a senile hemodialysis patient of left internal jugular vein stenosis and right innominate vein occlusion unrelated to any known risk factors. Aided by computed tomography and digital subtraction angiography, we managed to dilate the stenosis by percutaneous balloon angioplasty, followed by successful tunneled catheter placement. Nephrologists should be aware of idiopathic CVS and its impact on the creation and preservation of vascular access. When confronted with difficulties in catheter placement, practitioners need to consider the possibilities of idiopathic CVS and refer to radiological tests.

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)0.004
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.283
Teacher spread0.264 · 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

Citations8
Published2013
Admission routes1
Has abstractyes

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