PEG-J replacement for duodenal levodopa infusion in Parkinson’s disease patients: a retrospective study
Bibliographic record
Abstract
BACKGROUND: Reducing percutaneous endoscopic gastrostomies with jejunal extension tubes (PEG-J) related complications is vital to the long-term preservation of duodenal levodopa infusion (DLI) in advanced Parkinson's disease (APD). Here, we provide data on the frequency of complications for both the standard "pull" and the non-endoscopic, radiologic assisted, "push" replacement PEG-J techniques in APD. METHODS: We retrospectively identified all patients treated with DLI from October 2009 to January 2020 at the Movement Disorders Center. Patients features and demographics, PEG-J procedures, causes for any discontinuation, reported complications and mortality were collected. In this cohort, PEG-J replacements were performed using the standard "pull" procedure or the radiologic assisted "push" method. Descriptive statistical analysis, t-test and paired t-test with False Discovery Rate correction was performed. RESULTS: This retrospective study included 30 APD patients [median age 72 ± 5.6 years; mean disease duration 17.2 + 5.7 years]. Mean treatment duration was 35.6 (30.6) months. Overall, 156 PEG-J procedures were performed, and Nineteen patients (63.3%) had a total of 185 reported complications, 85 of which were peristomal complications. 17 (56.6%) underwent 100 replacement procedures due to complications. The most commonly reported complication for replacement was J-tube dislocation (36%). One patient discontinued treatment after 6 months, due to peripheral neuropathy. Six patients died for causes not related to DLI. PEG-J replacements performed with the "push" method had a higher turnover (5.6 vs. 7.6 mo.), but fewer reported complications (67 vs. 75%). CONCLUSION: The overall rate of complications was lower for "push" technique. This result might have been due to a higher replacement turnover that acted as a protective factor.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.000 | 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".