Prevalence of gastroparesis before and after lung transplantation and its association with lung allograft outcomes
Bibliographic record
Abstract
The main cause of late morbidity and mortality after lung transplantation is bronchiolitis obliterans syndrome (BOS). This study assesses the prevalence of gastroparesis among lung-transplant recipients and its association with BOS. The files of 139 patients who underwent nuclear gastric emptying studies before and/or three and 12 months after lung transplantation were reviewed, and the correlation of gastric emptying time (GET) at each time point with the occurrence of acute rejection or BOS (stage 0p or higher) was evaluated. Delayed gastric emptying (DGE; t(1/2) > 90 min) was documented in 50% of patients before transplantation - 74% at three months and 63% at 12 months. Median pre-transplant t(1/2) was 108 min in patients who acquired BOS and 77 min in BOS-free patients (p = 0.022). Among patients with pre-transplant DGE, 58% were BOS-free at 24 months post-operatively and 37% at 36 months; corresponding rates in patients with normal motility were 78% and 63% (p = 0.084). On multiple regression analysis adjusting for other measures of upper gastrointestinal dysfunction, GET before or three months after transplantation was significantly associated with BOS (OR 1.05 [95% CI 1.01-1.09] and OR 1.001 [1.001-1.005] per minute t(1/2)). Gastroparesis is common in lung-transplant recipients and associated with the development of BOS.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".