Evidence map›Paper›PMID 40156727›Full record

ArticleActa neurochirurgica2025

Robotic assisted free flap reconstruction of the scalp using the Symani

Jennifer Ashley Watson, Sören Könneker, Giuseppe Esposito, Luzie Hofmann, Bong-Sung Kim, Pietro Giovanoli, Nicole Lindenblatt

Abstract read
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In one paragraph

Article in Acta neurochirurgica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

7 authors.

Jennifer Ashley WatsonDepartment of Plastic Surgery and Hand Surgery, University Hospital Zurich, Zurich, Switzerland.
Sören KönnekerDepartment of Plastic Surgery and Hand Surgery, University Hospital Zurich, Zurich, Switzerland.
Giuseppe EspositoDepartment of Neurosurgery, University Hospital Zurich, Zurich, Switzerland.
Luzie HofmannDepartment of Plastic Surgery and Hand Surgery, University Hospital Zurich, Zurich, Switzerland.
Bong-Sung KimDepartment of Plastic Surgery and Hand Surgery, University Hospital Zurich, Zurich, Switzerland.
Pietro GiovanoliDepartment of Plastic Surgery and Hand Surgery, University Hospital Zurich, Zurich, Switzerland.
Nicole LindenblattDepartment of Plastic Surgery and Hand Surgery, University Hospital Zurich, Zurich, Switzerland. nicole.lindenblatt@usz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRobotic-assisted surgery currently is evolving as a new field in microsurgery with potential benefits for reconstructive surgery. The Symani

methodsWe analyzed 6 patients with soft tissue defects of the scalp from September 2023 to January 2024 undergoing soft tissue reconstruction with a free ALT or LD flap. Robotic-assisted microsurgical anastomoses were performed using the Symani

results4 male patients and 2 female patients (age 61-81 years, mean 71.8 years) were included. Mean hospital stay was 10 (8-13) days. The most common recipient vessels were the Superficial temporal artery and vein (66.7%). In other cases, we used the facial artery and vein. All arterial anastomoses were performed by using the Symani

conclusionFor reconstruction of soft tissue defects of the scalp, a free ALT or LD flap represents a proper treatment option. Performing microanastomosis using the Symani

Indexed as

Free Tissue FlapsMicrosurgeryPlastic Surgery ProceduresRobotic Surgical ProceduresScalpAgedAged, 80 and overAnastomosis, SurgicalFemaleHumansMaleMiddle AgedAnterolateral thigh flapLatissimus dorsi flapReconstructionSoft tissue defect of the scalpSymani® Surgical System

Identifiers

PMID40156727
PMCPMC11954711

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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.