Outcome and Safety of Unplanned-Start Peritoneal Dialysis according to Break-In Periods: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
INTRODUCTION: The best timing of peritoneal dialysis (PD) initiation after catheter implantation is still controversial. It is necessary to explore whether there exists a waiting period to minimize the risk of complications. METHODS: A systematic review and meta-analysis were searched in multiple electronic databases published from inception to February 29, 2020, to identify cohort studies for evaluating the outcome and safety of unplanned-start PD (<14 days after catheter insertion). Risks of bias across studies were evaluated using Newcastle-Ottawa Quality Assessment Scale. RESULTS: Fourteen cohort studies with a total of 2,401 patients were enrolled. We found that early-start PD was associated with higher prevalence of leaks (RR: 2.67, 95% CI, 1.55-4.61) and omental wrap (RR: 3.28, 95% CI, 1.14-9.39). Furthermore, patients of unplanned-start PD in APD group have higher risk of leaks, while those in CAPD group have a higher risk of leaks, omental wrap, and catheter malposition. In shorter break-in period (BI) group, the risk of suffering from catheter obstruction and malposition was higher for patients who started dialysis within 7 days after the surgery than for patients within 7-14 days. No significant differences were found in peritonitis (RR: 1.00; 95% CI, 0.78-1.27) and exit-site infections (RR: 1.12; 95% CI, 0.72-1.75). However, shorter BI was associated with higher risk of mortality and transition to hemodialysis (HD) while worsen early technical survival, with pooled RR of 2.14 (95% CI, 1.52-3.02), 1.42 (95% CI, 1.09-1.85) and 0.95 (95% CI, 0.92-0.99), respectively. CONCLUSIONS: Evidence suggests that patients receiving unplanned-start PD may have higher risks of mechanical complications, transition to HD, and even mortality rate while worsening early technical survival, which may not be associated with infectious complications. Rigorous studies are required to be performed.
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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 | 0.011 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.041 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".