Review: no evidence exists that thrombolysis is better than heparin for reducing the risk of recurrent pulmonary embolism and death
Bibliographic record
Abstract
Wan S, Quinlan DJ, Agnelli G, et al . Thrombolysis compared with heparin for the initial treatment of pulmonary embolism: a meta-analysis of the randomized controlled trials. Circulation 2004;110:744–9.[OpenUrl][1][Abstract/FREE Full Text][2] Q In patients with acute pulmonary embolism (PE), is initial thrombolysis more effective than heparin for reducing the risk of recurrent PE and death? ### ![Graphic][3]</img>Data sources: Medline and EMBASE/Excerpta Medica (1980 to January 2003), Cochrane Library (Issue 1, 2003); and hand searches of reference lists of retrieved articles and abstracts of conference proceedings. ### ![Graphic][4]</img>Study selection and assessment: published and unpublished randomised controlled trials (RCTs) with proper randomisation that compared thrombolysis with heparin for initial treatment of patients with objectively diagnosed symptomatic PE, and used objective methods to assess clinical outcomes. 2 independent reviewers … [1]: {openurl}?query=rft.jtitle%253DCirculation%26rft_id%253Dinfo%253Adoi%252F10.1161%252F01.CIR.0000137826.09715.9C%26rft_id%253Dinfo%253Apmid%252F15262836%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=circulationaha&resid=110/6/744&atom=%2Febnurs%2F8%2F2%2F52.atom [3]: /embed/inline-graphic-1.gif [4]: /embed/inline-graphic-2.gif
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".