Evidence map›Paper›PMID 38235463›Full record

ArticleFrontiers in neuroergonomics2022

The neurophysiology of intraoperative error: An EEG study of trainee surgeons during robotic-assisted surgery simulations.

Christopher D'Ambrosia, Eliah Aronoff-Spencer, Estella Y Huang, Nicole H Goldhaber, Henrik I Christensen, Ryan C Broderick, Lawrence G Appelbaum

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroergonomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
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 at 2 institutions in 1 country.

Christopher D'AmbrosiaCollege of Physicians and Surgeons, Columbia University, New York, NY, United States.
Eliah Aronoff-SpencerDepartment of Medicine, University of California, San Diego, La Jolla, CA, United States.
Estella Y HuangDivision of Minimally Invasive Surgery, Department of Surgery, University of California, San Diego, La Jolla, CA, United States.
Nicole H GoldhaberDivision of Minimally Invasive Surgery, Department of Surgery, University of California, San Diego, La Jolla, CA, United States.
Henrik I ChristensenCognitive Robotics Laboratory, Department of Computer Science and Engineering, Contextual Robotics Institute, University of California, San Diego, La Jolla, CA, United States.
Ryan C BroderickDivision of Minimally Invasive Surgery, Department of Surgery, University of California, San Diego, La Jolla, CA, United States.
Lawrence G AppelbaumDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
University of California, San Diego · USRobotics Research (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgeons operate in mentally and physically demanding workspaces where the impact of error is highly consequential. Accurately characterizing the neurophysiology of surgeons during intraoperative error will help guide more accurate performance assessment and precision training for surgeons and other teleoperators. To better understand the neurophysiology of intraoperative error, we build and deploy a system for intraoperative error detection and electroencephalography (EEG) signal synchronization during robot-assisted surgery (RAS). We then examine the association between EEG data and detected errors. Our results suggest that there are significant EEG changes during intraoperative error that are detectable irrespective of surgical experience level.

Indexed as

clinical assessmenthuman performancemedical roboticsrobot-assisted surgerysurgical training

Identifiers

PMID38235463
PMCPMC10790934
OpenAlexW4315480994

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.