SynthesisJournal of robotic surgery2026
Comparative outcomes of da Vinci SP versus da Vinci Xi platforms in robotic cholecystectomy: a systematic review and meta-analysis.
Synthesis in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Robotic cholecystectomy using da Vinci SP, single-site, and multiport systems: a systematic review and comparative meta-analysis.Journal of robotic surgery · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As robotic cholecystectomy adoption accelerates, the evidence comparing the perioperative outcomes of the Da Vinci Xi (DV-Xi) multiport platform to the Da Vinci Single-Port (DV-Sp) platform remains scarce. This meta-analysis provides the first systematic comparison of perioperative outcomes between these platforms. To compare perioperative safety and operative efficiency outcomes between the DV-Sp and the DV-Xi systems performing cholecystectomy. We thoroughly searched PubMed, Embase, Scopus, Cochrane Library, and ClinicalTrials.gov from inception till December 22, 2025. The key outcomes of interest included mean operative time, console time, docking time, pain scores on the day of the operation, pain scores after 24 h, estimated blood loss, and length of hospital stay. We conducted random-effects meta-analysis and leave-one-out sensitivity analysis using RStudio v 4.5.2. The ROBINS-I was used for the risk of bias assessment. A GRADE assessment through GRADEpro was performed. Four observational studies comprising 833 patients (DV-Sp: n = 416; DV-Xi: n = 417) met the set inclusion criteria, and no RCTs were found. The DV-Sp showed significantly decreased mean operative time (MD = -2.41 min; 95% CI - 4.09 to - 0.73, p = 0.0049) and console time (MD = - 7.24; 95% CI - 9.77 to - 4.72, P < 0.0001) with no heterogeneity (I² = 0%). Two studies reported reduced pain scores in the DV-SP group. There was no significant difference found in the pooled estimates of post-operative pain scores, blood loss, docking time, and length of hospital stay between the two platforms. The DV-Sp demonstrated modest but consistent reductions in operative and console time with comparable safety to the DV-Xi system. Pain scores on the day of surgery and after 24 h of operation were reported low in the DV-SP group. While the magnitude of time differences is unlikely to impact individual patient outcomes, cumulative reductions across high-volume operating centers may translate into meaningful gains in operating room efficiency. However, substantial heterogeneity, particularly in pain-related outcomes and docking time, warrants cautious interpretation of these outcomes.
Indexed as
Identifiers
42138767What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.