Evidence map›Paper›PMID 38444952›Full record

ReviewSeminars in plastic surgery2023

Robotic Nerve Surgery: Brachial Plexus.

Matthew J Parham, Samuel H Cole, Nicholas H Yim, William C Pederson

Abstract readReview
In one paragraph

Review in Seminars in plastic surgery, 2023. 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

4 authors.

Matthew J ParhamDivision of Plastic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas.
Samuel H ColeDivision of Plastic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas.
Nicholas H YimDivision of Plastic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas.
William C PedersonDivision of Plastic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Management of closed brachial plexus injuries has traditionally favored conservative approaches with lengthy intervals between initial injury and surgical reconstruction. The complex anatomy of this region often requires large incisions with extensive dissection. Recently, the use of robotic systems in plastic and reconstructive surgery has been increasing, and robot-assisted brachial plexus reconstruction is a novel application that is currently being explored. Current literature describing this application is primarily comprised of feasibility studies using animal and cadaver models, and literature describing use in human subjects is limited. Advantages demonstrated by these early studies include the reduction of physiologic tremor, 3D visualization of anatomical structures, and ergonomic positioning; this allows for increased surgical dexterity and the ability to perform minimally invasive microsurgical procedures within the confined anatomical spaces of the brachial plexus. Limitations revolve around inadequate instrumentation, large learning curves, and increased costs that restrict the ability to perform these complex microsurgical procedures reliably and efficiently. As companies continue to develop instrumentation specific to robot-assisted microsurgery, more extensive longitudinal studies outlining long-term costs, changes in operating time, and functional outcomes will be required before a conclusion about the utility of these systems in brachial plexus surgery can be made.

Indexed as

brachial plexusplastic surgeryrobotic surgery

Identifiers

PMID38444952
PMCPMC10911901

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.