Combination Tissue Plasminogen Activator and DNase for Loculated Malignant Pleural Effusions
Bibliographic record
Abstract
BACKGROUND: Indwelling pleural catheters (IPCs) are frequently used for the management of malignant pleural effusions (MPEs), but drainage can be impaired by pleural loculations. We aimed to evaluate the safety and effectiveness of intrapleural tissue plasminogen activator (tPA) versus combination tPA-deoxyribonuclease (DNase) in the treatment of loculated MPE. METHODS: We performed a retrospective review of patients with confirmed or presumed MPEs requiring IPC insertion. We compared the efficacy of intrapleural tPA, tPA-DNase, and procedural intervention on pleural fluid drainage. Secondary endpoints included the need for future pleural procedures (eg, thoracentesis, IPC reinsertion, chest tube insertion, or surgical intervention), IPC removal due to spontaneous pleurodesis, and IPC-related complications. RESULTS: Among 437 patients with MPEs, loculations developed in 81 (19%) patients. Twenty-four (30%) received intrapleural tPA, 46 (57%) received intrapleural tPA-DNase, 4 (5%) underwent a procedural intervention, and 7 (9%) received ongoing medical management. tPA improved pleural drainage in 83% of patients, and tPA-DNase improved pleural drainage in 80% of patients. tPA alone may be associated with increased rates of spontaneous pleurodesis compared with tPA-DNase. There was no difference in complications when comparing tPA, combination tPA-DNase, procedural intervention, and no therapy. CONCLUSION: Both intrapleural tPA and combination tPA-DNase appear to be safe and effective in improving pleural fluid drainage in selected patients with loculated MPE, although further studies are needed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".