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Record W2271557959 · doi:10.1159/000443728

Successful Image-Guided Retrieval of an Embolized Fragment of a Fractured Haemodialysis Catheter Tip from the Pulmonary Artery

2016· article· en· W2271557959 on OpenAlexaff
Chia Wei Teoh, Avnesh S. Thakor, João Amaral, Dimitri A. Parra, Elizabeth Harvey, Damien Noone

Bibliographic record

VenueCase Reports in Nephrology and Dialysis · 2016
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsMedicineEmbolizationCatheterComplicationSurgeryLumen (anatomy)Asymptomatic

Abstract

fetched live from OpenAlex

BACKGROUND: Cuffed, double-lumen, tunneled haemodialysis catheters are a common means of vascular access in paediatric haemodialysis, particularly in infants. Haemodialysis catheter fracture with distal embolization is a rare complication. CASE REPORT: A 2-year-old boy was receiving chronic haemodialysis via a right internal jugular cuffed, double-lumen, tunneled haemodialysis catheter, inserted 3 months previously. He was asymptomatic and was incidentally found to have had embolization of a fractured catheter tip into a segmental branch of the left pulmonary artery. The catheter was replaced and the embolized fragment successfully retrieved, non-surgically, using an image-guided endovascular approach with a loop snare device. CONCLUSION: Haemodialysis catheter fracture with distal embolization is a rare complication in both adults and children and is usually associated with prolonged use and catheter fatigue. Retrieval of the embolized fragment should always be attempted to prevent possible complications. Awareness of this potential complication is important to facilitate diagnosis and management.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
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 head0.024
GPT teacher head0.324
Teacher spread0.300 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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