Evidence map›Paper›PMID 42661276›Full record

SynthesisMicrosurgery2026

Dedicated Robotic-Assisted Microsurgery Platforms in Plastic and Reconstructive Surgery: A Systematic Review.

Simon M Kratzer, Mehmet Ergisi, Laura Awad, Deepak M Kalaskar, Peter Butler, Dariush Nikkhah

Abstract readSystematic Review
In one paragraph

Synthesis in Microsurgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Simon M KratzerDivision of Surgery & Interventional Science, Royal Free London NHS Foundation Trust, University College London, London, UK.ORCID https://orcid.org/0009-0003-0362-0977
Mehmet ErgisiDivision of Surgery & Interventional Science, Royal Free London NHS Foundation Trust, University College London, London, UK.ORCID https://orcid.org/0000-0002-2953-313X
Laura AwadDepartment of Plastic and Reconstructive Surgery, Royal Free London NHS Foundation Trust, and Division of Surgery and Interventional Science, University College London, London, UK.ORCID https://orcid.org/0000-0002-8122-991X
Deepak M KalaskarDivision of Surgery & Interventional Science, Royal Free London NHS Foundation Trust, University College London, London, UK.ORCID https://orcid.org/0000-0002-0576-1816
Peter ButlerDepartment of Plastic and Reconstructive Surgery, Royal Free London NHS Foundation Trust, and Division of Surgery and Interventional Science, University College London, London, UK.ORCID https://orcid.org/0000-0001-7419-1493
Dariush NikkhahDepartment of Plastic and Reconstructive Surgery, Royal Free London NHS Foundation Trust, and Division of Surgery and Interventional Science, University College London, London, UK.ORCID https://orcid.org/0000-0001-5819-8740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDedicated robotic-assisted microsurgical systems (RAMS), including the Symani Surgical System and MUSA, were developed to overcome physiological tremor, surgeon fatigue, and restricted maneuverability in deep surgical fields. Existing reviews of robotic plastic surgery largely span heterogeneous applications beyond microsurgery or lack structured risk-of-bias appraisal specific to dedicated microsurgical platforms. This review systematically synthesizes clinical outcomes, learning-curve dynamics, and technological features of dedicated RAMS platforms in microsurgery, incorporating structured risk-of-bias appraisal to clarify the evidence base and inform clinical adoption.

methodsStudies published 2015-2025 were identified through PubMed, Embase, Scopus, and Web of Science (PROSPERO CRD420261320086). Following independent screening, 21 studies were included, assessing free flap survival, anastomotic patency, complications, operative times, and learning-curve metrics.

resultsFree flap reconstruction showed high survival (96%-100%); supermicrosurgical anastomosis patency was 96.6%-100%. Robotic anastomosis times fell 51%-66% with experience (largest reduction 66.1%, for deep-plane arterial anastomosis), though times remained longer than manual benchmarks even after the learning phase (e.g., 25.3 ± 12.3 vs. 14.1 ± 4.3 min for mixed procedures). Conversion/failure was infrequent (0%-4.3%). Motion scaling (up to 20×) and tremor filtration were consistent advantages; haptic feedback remained universally absent.

conclusionDedicated RAMS platforms are safe and effective for micro- and supermicrosurgical reconstruction, non-inferior to manual techniques. Initial time penalties resolve with experience. Future research should prioritize randomized controlled trials, standardized outcome measures, and cost-effectiveness analyses.

Indexed as

MicrosurgeryPlastic Surgery ProceduresRobotic Surgical ProceduresAnastomosis, SurgicalFree Tissue FlapsHumansLearning Curvefree flap reconstructionlearning curve dynamicsplastic and reconstructive surgeryrobotic‐assisted microsurgery (RAMS)supermicrosurgerySymani

Identifiers

PMID42661276
PMCPMC13522394

What OpenQuestion holds

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Registered trials

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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.