Evidence map›Paper›PMID 32737352›Full record

Trial reportScientific reports2020

Physiological correlates of cognitive load in laparoscopic surgery.

Zohreh Zakeri, Neil Mansfield, Caroline Sunderland, Ahmet Omurtag

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Instructional Design for Surgical Novices Based on Cognitive Load Theory: Implications for Urologic Surgery Training.International journal of urology : official journal of the Japanese Urological Association · 2026
    Review
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  9. Cognitive effort detection for tele-robotic surgery via personalized pupil response modeling.International journal of computer assisted radiology and surgery · 2024
    Article
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  13. Multimodal Approach to Assess a Virtual Reality-based Surgical Training Platform.Virtual, augmented and mixed reality : 15th International Conference, VAMR 2023, held as part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23-28, 2023, proceedings. VAMR (Conference) (15th : 2023 : Cope... · 2023
    Article
  14. Article
  15. Enhanced Surgeons: Understanding the Design of Augmented Reality Instructions for Keyhole Surgery.Proceedings. IEEE Conference on Virtual Reality and 3D User Interfaces · 2023
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  17. Review
  18. Observational
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.

Zohreh Zakeri *Department of Engineering, School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, UK. zohreh.zakeri@ntu.ac.uk.
Neil MansfieldDepartment of Engineering, School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, UK.
Caroline SunderlandDepartment of Sport Science, School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, UK.ORCID http://orcid.org/0000-0001-7484-1345
Ahmet Omurtag *Department of Engineering, School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laparoscopic surgery can be exhausting and frustrating, and the cognitive load experienced by surgeons may have a major impact on patient safety as well as healthcare economics. As cognitive load decreases with increasing proficiency, its robust assessment through physiological data can help to develop more effective training and certification procedures in this area. We measured data from 31 novices during laparoscopic exercises to extract features based on cardiac and ocular variables. These were compared with traditional behavioural and subjective measures in a dual-task setting. We found significant correlations between the features and the traditional measures. The subjective task difficulty, reaction time, and completion time were well predicted by the physiology features. Reaction times to randomly timed auditory stimuli were correlated with the mean of the heart rate ([Formula: see text]) and heart rate variability ([Formula: see text]). Completion times were correlated with the physiologically predicted values with a correlation coefficient of 0.84. We found that the multi-modal set of physiology features was a better predictor than any individual feature and artificial neural networks performed better than linear regression. The physiological correlates studied in this paper, translated into technological products, could help develop standardised and more easily regulated frameworks for training and certification.

Indexed as

CognitionReaction TimeSimulation TrainingAdultFemaleHumansLaparoscopyMaleSurgeons

Identifiers

PMID32737352
PMCPMC7395129

What OpenQuestion holds

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LicenceCC BY
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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.