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Record W3048523496 · doi:10.1016/j.radcr.2020.07.047

Use of drug-coated balloons in the management of a recalcitrant postsurgical hepatic vein stenosis in a pediatric patient

2020· article· en· W3048523496 on OpenAlexaff
Dimitri A. Parra, Leonardo R. Brandão

Bibliographic record

VenueRadiology Case Reports · 2020
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineAngioplastyStenosisAnastomosisRadiologySurgeryVeinStent

Abstract

fetched live from OpenAlex

Drug-coated balloons (DCB) are a treatment alternative to conventional angioplasty in arterial, hemodialysis fistulas, and venous stenoses. This case report describes a child with the diagnosis of hepatoblastoma treated with chemotherapy and a right extended hepatectomy with venous reconstruction. The patient presented with signs and symptoms of portal hypertension due to a hepatic venous outflow obstruction secondary to stenosis of the surgical anastomosis. The response to conventional angioplasty was limited with frequent recurrence of symptoms. DCBs were used as an alternative prior to stent consideration aiming to assess if these devices could provide improvement of the symptoms and as a long-term therapy. The use of DCBs increased the time interval of reinterventions in comparison with conventional angioplasty. The patient eventually required stents due to recurrence of the primary disease. While this report does not provide an in-depth evaluation in terms of the efficacy and safety of DCB, this case illustrates a potential novel treatment modality to be considered for children, when stenotic venous lesions not amenable for stenting are present.

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: Case report
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
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.052
GPT teacher head0.316
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 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
Published2020
Admission routes1
Has abstractyes

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