Evidence Hub

RETRACTED ARTICLE: Pedal to the metal: accelerating intracerebral hemorrhage treatment with robotic-assisted surgery. A systematic review & meta-analysis of clinical effectiveness

P. Łajczak, Anna Łajczak

Neurosurgical review, 2024

4 citations

Abstract

Intracerebral hemorrhage (ICH) is a severe condition in vascular neurological surgery, often leading to high mortality and severe disability. Recent advancements in robotic-assisted (RA) systems, including ROSA, Remebot, and CAS-R-2, have shown promise in enhancing surgical precision and outcomes. This study aims to evaluate the effectiveness of RA systems in ICH surgery compared to conventional methods. This systematic review followed PRISMA 2020 guidelines. The inclusion criteria were peer-reviewed English language articles reporting on the use of RA systems for ICH surgery in humans. Data extraction focused on surgical time, mortality rates, neurological outcomes, complication rates, and economic effectiveness. Meta-analyses were performed using R software, employing a random effects model to account for variations between studies. Seventeen studies were included in the systematic review, with thirteen qualifying for the meta-analysis. The results demonstrated that RA systems significantly reduced surgery time (MD -86.2447 [-128.5111; -43.9782], p < 0.0001) and mortality at last follow-up (OR 0.3652 [0.1457; 0.9158], p = 0.0317). RA systems also improved neurological outcomes, with lower mean modified Rankin Scale (mRS) scores (MD -0.8063 [-1.0786; -0.5341], p < 0.0001) and higher Glasgow Outcome Scale (GOS) scores (MD 0.6792 [0.1599; 1.1985], p = 0.0104). Complications such as rebleeding, pulmonary infections, and intracranial infections were significantly reduced.…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free