Use of Tunneled Pleural Catheters in Malignant Mesothelioma
Bibliographic record
Abstract
Introduction: Malignant mesothelioma (MM) is an incurable cancer for which effective palliation of dyspnea caused by pleural effusion is an important goal of treatment. Treatment of MPE associated with MM has been reported to have lower success rates than that associated with other tumors. We report our experience using tunneled pleural catheters (TPC) in the treatment of pleural effusions associated with MM. Method: This study was a retrospective analysis of a prospective TPC database in a single institution. Results: Thirty-one TPC procedures in 26 patients with MM were analyzed and compared with a control group (CG) of 218 procedures (195 patients) with malignant effusions from other tumors. Dyspnea control in the MM group was found to be complete and partial after 12 (38.7%) and 17 (54.8%) procedures, respectively, not significantly different than for the CG. Rates of spontaneous pleurodesis, need for repeat procedures, and complications were no different in MM versus CG. TPC remained in place longer in patients with MM than in the CG (83 vs. 52 days), likely as a result of longer survival. Conclusion: TPC are as effective in patients with MM as in other patients with malignant pleural effusions. Use of TPC should be considered for the palliation of malignant pleural effusions associated with MM.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".