Evidence map›Paper›PMID 17710491›Full record

ArticleSurgical endoscopy2008

Building an efficient surgical team using a bench model simulation: construct validity of the Legacy Inanimate System for Endoscopic Team Training (LISETT).

B Zheng, P M Denk, D V Martinec, P Gatta, M H Whiteford, L L Swanström

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Article in Surgical endoscopy, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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

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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.

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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.

B ZhengMinimally Invasive Surgery Program, Legacy Health System, 1040 NW 22nd Avenue, Suite 560, Portland, OR 97210, USA. bzhengbc@hotmail.com
P M Denk
D V Martinec
P Gatta
M H Whiteford
L L Swanström

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplex laparoscopic tasks require collaboration of surgeons as a surgical team. Conventionally, surgical teams are formed shortly before the start of the surgery, and team skills are built during the surgery. There is a need to establish a training simulation to improve surgical team skills without jeopardizing the safety of surgery. The Legacy Inanimate System for Laparoscopic Team Training (LISETT) is a bench simulation designed to enhance surgical team skills. The reported project tested the construct validity of LISETT. The research question was whether the LISETT scores show progressive improvement correlating with the level of surgical training and laparoscopic team experience or not.

methodsWith LISETT, two surgeons are required to work closely to perform two laparoscopic tasks: peg transportation and suturing. A total of 44 surgical dyad teams were recruited, composed of medical students, residents, laparoscopic fellows, and experienced surgeons. The LISETT scores were calculated according to the speed and accuracy of the movements.

resultsThe LISETT scores were positively correlated with surgical experience, and the results can be generalized confidently to surgical teams (Pearson's coefficient, 0.73; p = 0.001). To analyze the influences of individual skill and team dynamics on LISETT performance, team quality was rated by team members using communication and cooperation characters after each practice. The LISETT scores are positively correlated with self-rated team quality scores (Pearson's coefficient, 0.39; p = 0.008).

conclusionsThe findings proved LISETT to be a valid system for assessing cooperative skills of a surgical team. By increasing practice time, LISETT provides an opportunity to build surgical team skills, which include effective communication and cooperation.

Indexed as

Clinical CompetenceComputer-Assisted InstructionEducation, MedicalEndoscopyEquipment DesignHumansMotor SkillsPatient Care TeamPatient Simulation

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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.