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Record W4378554191 · doi:10.14740/cr1490

Ultrasound-Accelerated Catheter-Directed Thrombolysis

2023· review· en· W4378554191 on OpenAlexvenueno aff
Mrhaf Alsamman, Ali Mohsin Choudhry, Abdulaziz Mheir AlSaadi, Rakesh Prashad

Bibliographic record

VenueCardiology Research · 2023
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsnot available
FundersHCA Healthcare
KeywordsMedicineThrombolysisCardiologyInternal medicineUltrasoundCatheterRadiologyMyocardial infarction

Abstract

fetched live from OpenAlex

Venous thromboembolism is a very common presentation in the hospital setting. In patients with high-risk pulmonary embolism (PE) or PE and hemodynamic instability, systemic thrombolytic treatment is generally indicated. In those with contraindications to systemic thrombolysis, catheter-directed local thrombolytic therapy and surgical embolectomy are currently considered. In particular, catheter-directed thrombolysis (CDT) is a drug delivery system coupling the endovascular drug administration nearby in the thrombus and the local facilitating effect of ultrasounds. The applications of CDT are currently debated. Here we provide a systematic review of the clinical utilization of CDT.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.335
GPT teacher head0.488
Teacher spread0.154 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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