Our Clinical Experience of Self-Expanding Metal Stent for Malignant Central Airway Obstruction
Bibliographic record
Abstract
BACKGROUND: We studied the safety, effectiveness, and limitations of airway stenting using self-expanding metal stent (SEMS) in patients with malignant central airway obstruction (CAO). METHODS: A retrospective review of records of patients undergoing SEMS placement for malignant CAO during year 2013 - 2014 was done. RESULTS: Sixteen patients (11 males and five females) underwent SEMS placement for malignant CAO. Median (range) age was 66 (54 - 78) years. No perioperative or immediate postoperative complications were seen except acute myocardial infarction (AMI) in one patient. Three patients were transferred to intensive care unit (ICU) for closer monitoring after the procedure and were discharged the next day. All four patients with lung atelectasis on presentation experienced complete re-expansion of the lung post-stenting. The dyspnea was substantially relieved in 14 (87.5%) patients. Two of the three patients who had been intubated were weaned off from the ventilator following stent insertion. Stent patency was maintained until death in all patients except one. Median survival from the date of diagnosis and the date of stent placement in lung cancer, esophageal cancer, and thyroid cancer were 140 (21 - 564) and 85 (15 - 361), 288 (80 - 419) and 61 (60 - 171), and 129 (71 - 187) and 67 (16 - 118) days, respectively. This survival was similar to reported expected survival associated with the underlying malignancy. During follow-up, granulation tissue (n = 1), mucostasis (n = 1), and tumor ingrowth (n = 2) were the most frequently encountered complications. CONCLUSION: SEMSs are safe and effective in reversing respiratory failure caused by malignant CAO, averting premature death, allowing application of cancer targeted therapy, and restoring impending shortened survival to expected life expectancy associated with the underlying malignancy.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".