Efficacy and Safety of Thrombolytic Therapy in Acute Submassive Pulmonary Embolism: Follow-Up Study
Bibliographic record
Abstract
BACKGROUND: Thrombolysis in acute submassive pulmonary embolism (PE) remains controversial. So we studied impact of thrombolytic therapy in acute submassive PE in terms of mortality, hemodynamic status, improvement in right ventricular function, and safety in terms of major and minor bleeding. METHOD: A single-center, prospective, randomized study of 86 patients was conducted at LPS Institute of Cardiology, G.S.V.M. Medical College, Kanpur, India. Patients received thrombolysis (single bolus of tenecteplase) with unfractionated heparin (UFH, group I) or placebo with UFH (group II). RESULT: Mean age of patients was 54.35 ± 12.8 years with male dominance (M:F = 70%:30%). Smoking was the most common risk factor seen in 29% of all patients, followed by recent history of immobilization (25%), history of surgery or major trauma within past 1 month (15%), dyslipidemia (10%) and diabetes mellitus (10%). Dyspnea was the most common symptom in 80% of all patients, followed by chest pain in 55% and syncope in 6%. Primary efficacy outcome occurred significantly better in group I vs. group II (4.5% vs. 20%; P = 0.04), and significant difference was also found in hemodynamic decompensation (4.5% vs. 20%; P = 0.04), the fall in mean pulmonary artery systolic pressure (PASP) (28.8% vs. 22.5%; P = 0.03), improvement in right ventricular (RV) function (70% vs. 40%; P = 0.001) and mean hospital stay (8.1 ± 2.5 vs. 11.1 ± 2.14 days; P = 0.001). There was no difference in mortality and major bleeding as safety outcome but increased minor bleeding occurred in group I patients (16% vs. 12%; P = 0.04). CONCLUSION: Patients with acute submassive PE do not derive overall mortality benefit, recurrent PE and rehospitalization with thrombolytic therapy but had improved clinical outcome in form of decrease in hemodynamic decompensation, mean hospital stay, PASP and improvement of RV function with similar risk of major bleed but at cost of increased minor bleeding.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".