Evidence map›Paper›PMID 37408580›Full record

Article... International Symposium on Medical Robotics. International Symposium on Medical Robotics2021

Identifying Kinematic Markers Associated with Intraoperative Stress during Surgical Training Tasks.

Yi Zheng, Grey Leonard, Juan Tellez, Herbert Zeh, Ann Majewicz Fey

Abstract read
In one paragraph

Article in ... International Symposium on Medical Robotics. International Symposium on Medical Robotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Frame-wise detection of surgeon stress levels during laparoscopic training using kinematic data.International journal of computer assisted radiology and surgery · 2022
    Trial
  3. Article
  4. Article
  5. 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

5 authors.

Yi ZhengYi Zheng and Ann Majewicz Fey are with the Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712 USA.
Grey LeonardGrey Leonard, Juan Tellez, Herbert Zeh and Ann Majewicz Fey are with the Department of Surgery, the University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.
Juan TellezGrey Leonard, Juan Tellez, Herbert Zeh and Ann Majewicz Fey are with the Department of Surgery, the University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.
Herbert ZehGrey Leonard, Juan Tellez, Herbert Zeh and Ann Majewicz Fey are with the Department of Surgery, the University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.
Ann Majewicz FeyYi Zheng and Ann Majewicz Fey are with the Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712 USA.

Funding

A Virtual Coach to Enhance Surgical Training using Human-Centric Modeling and Adaptive Haptic GuidanceR01EB030125 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MAJEWICZ FEY, ANN · 2020 to 2023
$1.4M
NIBIB NIH HHS R01 EB030125
6 · The paper itself

Abstract

Increased levels of stress can impair surgeon performance and patient safety during surgery. The aim of this study is to investigate the effect of short term stressors on laparoscopic performance through analysis of kinematic data. Thirty subjects were randomly assigned into two groups in this IRB-approved study. The control group was required to finish an extended-duration peg transfer task (6 minutes) using the FLS trainer while listening to normal simulated vital signs and while being observed by a silent moderator. The stressed group finished the same task but listened to a period of progressively deteriorating simulated patient vitals, as well as critical verbal feedback from the moderator, which culminated in 30 seconds of cardiac arrest and expiration of the simulated patient. For all subjects, video and position data using electromagnetic trackers mounted on the handles of the laparoscopic instruments were recorded. A statistical analysis comparing time-series velocity, acceleration, and jerk data, as well as path length and economy of volume was conducted. Clinical stressors lead to significantly higher velocity, acceleration, jerk, and path length as well as lower economy of volume. An objective evaluation score using a modified OSATS technique was also significantly worse for the stressed group than the control group. This study shows the potential feasibility and advantages of using the time-series kinematic data to identify the stressful conditions during laparoscopic surgery in near-real-time. This data could be useful in the design of future robot-assisted algorithms to reduce the unwanted effects of stress on surgical performance.

Identifiers

PMID37408580
PMCPMC10321325

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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.