Single-Port <i>vs</i> Multiport Robot-Assisted Partial Nephrectomy: A Meta-Analysis
Bibliographic record
Abstract
Background:Several centers have reported their experience with single-port robot-assisted partial nephrectomy (SP-RAPN); however, it is uncertain if utilization of this platform represents an improvement in outcomes compared to multiport robot-assisted partial nephrectomy (MP-RAPN). To evaluate this, we performed a meta-analysis to compare the perioperative, oncological, and functional outcomes between SP-RAPN and MP-RAPN. Methods:For relevant articles, three electronic databases, including PubMed, Scopus, and Web of Science, were searched from their inception until January 1, 2023. A meta-analysis has been reported in line with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 and assessing the methodological quality of systematic reviews (AMSTAR) guidelines. The odds ratio (OR) and weighted mean difference (MD) were applied for the comparison of dichotomous and continuous variables with 95% confidence intervals (CI). Results:Of the 374 retrieved abstracts, 29 underwent full-text review, and 8 studies were included in the final analysis, comprising a total cohort of 1007 cases of RAPN (453 SP-RAPN cases and 554 MP-RAPN cases). Compared to MP-RAPN, the SP-RAPN group had a significantly longer ischemia time (MD = 4.6 minutes, 95% CI 2.8 to 6.3, p < 0.001), less estimated blood loss (MD = −12.4 mL, 95% CI −24.6 to −0.3, p = 0.045), higher blood transfusion rate (OR = 2.97, 95% CI 1.33 to 6.65, p = 0.008), and higher postoperative estimated glomerular filtration rate (eGFR) at 6 months (MD = 4.9 mL/min, 95% CI 0.2 to 9.7, p = 0.04). There was no significant difference in other outcomes between the two approaches, including the intraoperative complication, overall postoperative complication, minor postoperative complication (Clavien-Dindo I − II), major postoperative complication (Clavien-Dindo III–V), conversion to radical nephrectomy, pain score on day #1, pain score on discharge, morphine milligram equivalent usage, hospital stay, positive surgical margins, and postoperative eGFR. Conclusions:SP-RAPN represents an emerging technique using a novel platform. Initial studies have demonstrated that SP-RAPN is a safe and feasible approach to performing partial nephrectomy, although with inferior outcomes for ischemia time and blood transfusion rates. Further studies will be necessary to define the best usage of SP-RAPN within the surgeon's armamentarium.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".