Evidence map›Paper›PMID 41688726›Full record

ArticleScientific reports2026

Integrating subjective perceptions and objective video analysis to identify challenges in laparoscopic suturing: a cross-sectional study to enhance surgical training.

Chidozie Ogbonnaya, Shizhou Li, Changshi Tang, Baobing Zhang, Paul Sullivan, Mustafa Suphi Erden, Benjie Tang

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

7 authors.

Chidozie OgbonnayaSurgical Skills Centre, Respiratory Medicine and Gastroenterology, School of Medicine, Ninewells Hospital and Medical School, Dundee Institute for Healthcare Simulation, University of Dundee, Dundee, DD1 9SY, UK.
Shizhou LiSurgical Skills Centre, Respiratory Medicine and Gastroenterology, School of Medicine, Ninewells Hospital and Medical School, Dundee Institute for Healthcare Simulation, University of Dundee, Dundee, DD1 9SY, UK.
Changshi TangSchool of Medicine, University of Edinburgh, Edinburgh, EH8 9YL, UK.
Baobing ZhangSchool of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, EH14 4AS, UK.
Paul SullivanSchool of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, EH14 4AS, UK.
Mustafa Suphi ErdenSchool of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, EH14 4AS, UK.
Benjie TangSurgical Skills Centre, Respiratory Medicine and Gastroenterology, School of Medicine, Ninewells Hospital and Medical School, Dundee Institute for Healthcare Simulation, University of Dundee, Dundee, DD1 9SY, UK. b.tang@dundee.ac.uk.

Funding

the Engineering and Physical Sciences Research Council (EPSRC) of the United Kingdom Grant Reference EP/Y017307/1
6 · The paper itself

Abstract

Laparoscopic suturing remains one of the most technically demanding skills in minimally invasive surgery. This study aimed to identify the key technical and cognitive challenges encountered during laparoscopic suturing through both subjective perceptions and objective performance analysis. It was also sought to inform the development of more effective, targeted training strategies to enhance laparoscopic suturing training proficiency. A cross-sectional study was conducted with 33 laparoscopic surgeons, 22 novices and 11 experts. A Delphi consensus among six expert surgeons identified four core subtasks which formed the basis of a structured survey. Participants performed standardized laparoscopic suturing on animal tissue using a box trainer before completing the questionnaire. Objective assessments using the Global Operative Assessment of Laparoscopic Skills (GOALS) evaluated time to completion, needle handling, knot tying quality, tissue manipulation, and tension maintenance through video analysis. Knot tying was reported as the most challenging task by 42.4% of participants, followed by needle handling at 27.3% and maintaining suture tension at 21.2%. No significant difference in perceived difficulty was observed between novice and expert surgeons. Objective GOALS-based analysis demonstrated that expert surgeons significantly outperformed novices across all metrics. Mean time to complete suturing was 5.7 ± 0.8 min for experts compared with 8.4 ± 1.2 min for novices (P < 0.001). Needle handling scores were 4.5 ± 0.3 versus 2.9 ± 0.5 (P < 0.001). Knot tying quality was 4.6 ± 0.4 versus 2.8 ± 0.6 (P < 0.001). Tissue manipulation scores were 4.4 ± 0.3 versus 3.0 ± 0.5 (P < 0.001). Tension maintenance scores were 4.5 ± 0.4 versus 2.7 ± 0.6 (P < 0.001). This study demonstrates that technical challenges in laparoscopic suturing persist across all experience levels. Integrating subjective perceptions with objective GOALS-based video analysis provides a comprehensive assessment of performance differences. Targeted simulation training focusing on knot tying, needle manipulation, hand positioning, and motion efficiency is essential to enhance suturing proficiency.

Indexed as

LaparoscopySuture TechniquesAdultAnimalsClinical CompetenceCross-Sectional StudiesFemaleHumansMaleSurgeonsVideo RecordingKnot tyingLaparoscopic suturingObjective performance assessment.SimulationSkill acquisitionSurgical training

Identifiers

PMID41688726
PMCPMC12993066

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.