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Record W2915079256 · doi:10.14740/cr840

A Case Demonstrating the Ribaroxaban Therapy for Paradoxical Embolism

2019· article· en· W2915079256 on OpenAlexvenueno aff
Hiroto Aikawa, Kazuhiro Shimizu, Mahito Noro

Bibliographic record

VenueCardiology Research · 2019
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThrombusUrokinaseCardiologyPulmonary embolismHeparinInternal medicineEmbolismAnesthesia

Abstract

fetched live from OpenAlex

A paradoxical embolism is defined as a systemic arterial embolus due to passage of a venous thrombus through a right to left shunt. In recent years, vitamin K antagonists and aspirin are used as anticoagulant medications for the secondary prevention of paradoxical embolism. We describe a case of subacute right upper limb ischemia due to paradoxical embolism. We first started treatment with urokinase, intravenous (IV) injection and unfractionated heparin (continuous IV). As her condition and the serum D-dimer level showed improvement, we started catheterization on day 7 after admission; however the right brachial artery thrombus did not disappear. For her outpatient care, based on the viewpoint of providing rapid anticoagulation therapy within the therapeutic range, having longest periods of initial intensive therapy we chose the treatment using ribaroxaban. Recanalization of her right brachial artery was achieved with this therapy. Here, we report the effective results of initial intensive therapy using ribaroxaban for paradoxical embolism.

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 score0.008
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.142
GPT teacher head0.425
Teacher spread0.283 · 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
Published2019
Admission routes1
Has abstractyes

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