Comparison of Functional Outcomes Between Robotic and Laparoscopic Surgery in Rectal Cance
by Yiwei Wang·Updated 1mo ago
1.1 MB6files
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Description
Yiwei Wang's meta-analysis synthesizes evidence from 44 observational studies involving 6,121 patients, comparing functional outcomes between robotic and laparoscopic rectal cancer surgery. The study, updated to 2025, analyzed outcomes including urinary retention, ileus, and urinary and sexual function at 3, 6, and 12-month follow-ups. It was published on figshare on 2026-04-27 under a CC-BY-4.0 license.
Use Cases
Conducting a secondary analysis of pooled effect sizes for urinary retention based on the reported meta-analysis results.
Evaluating the temporal progression of urinary and sexual function outcomes based on the 3, 6, and 12-month subgroup analyses described.
Assessing the certainty of evidence in surgical literature based on the application of MINORS and GRADE frameworks mentioned in the description.
Investigating potential publication bias in surgical meta-analyses based on the use of funnel plots and Egger's test described.
Strengths
Includes 44 studies with a total of 6,121 patients, providing a substantial evidence base.
Analyzes outcomes at specific, clinically relevant time points (3, 6, and 12 months).
Applies standardized quality and evidence certainty assessments (MINORS, GRADE).
Includes contemporary evidence up to the year 2025.
Limitations
The dataset consists of summary documents (JPG, DOCX); the underlying study-level data is not provided in a structured, machine-readable format.
All included studies are observational, resulting in low certainty of evidence as noted in the description.
The row count and column structure for any potential underlying data are unknown.
Provenance
Source
figshare, author Yiwei Wang.
Collection Method
Systematic review and meta-analysis of studies from MEDLINE, Embase, Web of Science, and CENTRAL (2000–2025).
Time Range
Literature search covers 2000 to 2025.
Freshness
Last updated 2026-04-27 10:18:21.
Primary files are document formats (JPG, DOCX); users seeking tabular data for re-analysis will need to extract information manually.