Impact of a Pleural Care Program on the Management of Patients With Malignant Pleural Effusions
Bibliographic record
Abstract
BACKGROUND: Malignant pleural effusions (MPEs) are common and associated with a poor prognosis. Yet, many patients face suboptimal management characterized by repeated, nondefinitive therapeutic procedures and potentially avoidable hospital admissions. METHODS: We conducted a retrospective comparison of patients who underwent a definitive palliative intervention for MPE (indwelling pleural catheter or pleurodesis) at our center, before and after the implementation of a pleural care program. Targeted interventions included staff education, establishment of formal pleural drainage policies, a pleural clinic with weekday walk-in capacity, and a rapid access pathway for oncology patients. Outcomes assessed were the proportion of emergency room (ER) presentations, hospitalizations, number of nondefinitive pleural procedures, and time-to-definitive palliative procedure. RESULTS: A total of 144 patients were included: 69 in the preintervention group and 75 in the postintervention group. Although there was no difference in the proportion of ER presentations before and after interventions (43.5% vs. 38.7%, P =0.56), hospital admissions declined significantly (47.8% vs. 24.0%, P =0.003). The proportion of patients undergoing chest drain insertion decreased significantly (46.4% vs. 13.3%, P <0.001), with a stable low number of nondefinitive procedures per patient (1.6±1.1 vs. 1.3±0.9, P =0.32). A 7-day decrease in median time from presentation-to-definitive palliative procedure ( P =0.05) was observed. CONCLUSION: A targeted pleural care program improved MPE palliation through reduction in hospitalizations and chest drain use, and shorter time-to-definitive palliation, despite failing to reduce ER presentations.
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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 | 0.001 |
| 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".