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Record W4392374451 · doi:10.1111/petr.14725

Biodegradable biliary stents placement using a “kissing‐stent” technique for management of a recalcitrant stricture post‐live donor liver transplant

2024· article· en· W4392374451 on OpenAlexaff
Aleena Malik, Vicky L. Ng, Blayne A. Sayed, Asad Siddiqui, Dimitri A. Parra

Bibliographic record

VenuePediatric Transplantation · 2024
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineStentAnastomosisSurgeryStenosisBiliary stentRadiology

Abstract

fetched live from OpenAlex

BACKGROUND: Biliary complications are common in pediatric liver transplant. Strictures resistant to interventional radiology procedures can be extremely challenging to manage and may result in the need of surgery or retransplantation. METHODS: This case report illustrates the use of biodegradable stents post left lateral segment live donor liver transplant in a pediatric patient with a recalcitrant chronic stricture of the biliary-enteric anastomosis. The patient developed a high stricture requiring multiple interventions and eventual access of both the segment II and segment III ducts of the graft. RESULTS: To ensure adequate biliary drainage, two biodegradable stents were deployed using a "kissing-stent" technique. The stents were successfully deployed and allowed the patient to remain free from an internal-external biliary drain for 11 months, with eventual redeployment of an additional biodegradable stent. CONCLUSION: In patients with recalcitrant stenosis of the biliary anastomosis, biodegradable stents may provide durable drainage, optimizing graft function and delaying retransplantation in addition to keeping patients without external devices, thus improving quality of life.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.585
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.022
GPT teacher head0.285
Teacher spread0.263 · 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.

Study designBench or experimental
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

Citations5
Published2024
Admission routes1
Has abstractyes

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