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The rationale and evidence for the treatment of lower-extremity deep venous thrombosis with thrombolytic agents

2002· review· en· W2323970592 on OpenAlexaff
Alan J. Forster, Philip S. Wells

Bibliographic record

VenueCurrent Opinion in Hematology · 2002
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineThrombolysisDeep veinThrombosisPost-thrombotic syndromeRandomized controlled trialVenous thrombosisIntensive care medicineSurgeryInternal medicineMyocardial infarction

Abstract

fetched live from OpenAlex

This article presents the rationale and evidence for the treatment of lower-extremity deep venous thrombosis (DVT) with thrombolytic agents. DVT is a common condition that has both acute and chronic complications. Standard treatment including anticoagulation therapy and compression stockings may not be entirely adequate, because a significant proportion of patients eventually develop severe post-thrombotic syndrome (PTS). Thrombolytic agents offer a potential advantage because they may reduce residual vein stenosis and valve damage. The authors performed a systematic review of published randomized trials evaluating thrombolytic agents for DVT. The authors determined that thrombolysis therapy results in greater lysis and complication rates than does anticoagulation alone. The authors also found that PTS incidence is lower in patients treated with thrombolytics. However, several methodological flaws limit the conclusions with respect to reduction in PTS. Therefore, the authors conclude that although the lysis rate is greater for thrombolytic agents, they cannot be recommended routinely for DVT treatment.

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 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 score0.969
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
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 head0.285
GPT teacher head0.442
Teacher spread0.158 · 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.

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

Citations17
Published2002
Admission routes1
Has abstractyes

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