Impact of Gastroesophageal Reflux Disease on Patients Undergoing Lung Transplantation for COVID-19: A Single Institution Retrospective Study
Bibliographic record
Abstract
Background: Patients with coronavirus disease 2019 (COVID-19)-associated respiratory failure undergoing lung transplantation is an emerging subset of transplant patients in which gastroesophageal reflux disease (GERD) pre- or post-transplant is not well characterized. Methods: We retrospectively evaluated patients undergoing lung transplant for COVID-19, with attention to pre- and post-operative physiological testing for GERD. Results: Seventeen patients were identified who had undergone lung transplant for COVID-19. No patient underwent pre-transplant GERD testing. Post-transplant, 70.5% (12/17) patients reported reflux symptoms confirmed with additional testing. Three patients underwent anti-reflux surgery (ARS) based on results of testing, and none had complications or symptom-based recurrence of reflux. Conclusion: Our study depicts a unique cohort of patients who were unable to undergo pre-transplant testing for GERD in the setting of a global pandemic, and who were routinely assessed and managed post-transplant. J Curr Surg. 2023;13(1):12-16 doi: https://doi.org/10.14740/jcs467
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".