Evidence map›Paper›PMID 41162995›Full record

ArticleBMC surgery2025

Deciphering near-miss events in paediatric laparoscopic fundoplication: a video-based analysis of mechanisms and consequences.

Yohei Sanmoto, Yudai Goto, Kazuki Shirane, Kouji Masumoto

Abstract read
In one paragraph

Article in BMC surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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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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

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yohei SanmotoDepartment of Pediatric Surgery, University of Tsukuba Hospital, 2-1-1 Amakubo Tsukuba-shi, Tsukuba, 305-8576, Japan. ysammoto@yahoo.co.jp.
Yudai GotoDepartment of Pediatric Surgery, University of Tsukuba Hospital, 2-1-1 Amakubo Tsukuba-shi, Tsukuba, 305-8576, Japan.
Kazuki ShiraneDepartment of Pediatric Surgery, University of Tsukuba Hospital, 2-1-1 Amakubo Tsukuba-shi, Tsukuba, 305-8576, Japan.
Kouji MasumotoDepartment of Pediatric Surgery, University of Tsukuba Hospital, 2-1-1 Amakubo Tsukuba-shi, Tsukuba, 305-8576, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNear-miss events during paediatric laparoscopic fundoplication can affect surgical efficiency. This study aimed to classify near-miss events using the Generic Error Rating Tool (GERT) and evaluate their impact on procedure time.

methodsA retrospective review of surgical videos and medical records was conducted for patients who underwent laparoscopic fundoplication between 2015 and 2024. The near-miss events were identified and categorised by two paediatric surgeons using the GERT. Inter-rater reliability was assessed using Cohen's κ. The frequency and distribution of near-miss events were analysed across surgical steps, and the association between the number of near-miss events and procedure time was evaluated using multivariate linear regression analysis.

resultsThirty-eight patients were included, and 170 near-miss events were identified. The most common events were bleeding or haematoma (n = 87, 51.2%), followed by thermal injury (n = 40, 23.5%) and entangled or broken sutures (n = 23, 13.5%). Events occurred most frequently during the surgical exposure of the diaphragmatic crura and oesophageal encirclement (n = 65, 38.2%). Rectification measures were required in 14.1% of events, with a median intervention time of 66.5 s. Inter-rater agreement for event classification was substantial (Cohen's κ = 0.83, p < 0.001). A moderate positive correlation was observed between the number of near-miss events and procedure time (Spearman's r = 0.43, p = 0.0072). Furthermore, multivariate linear regression analysis demonstrated a significant association between the number of near-miss events and prolonged procedure time (regression coefficient = 7.28, 95% confidence interval: 1.49-13.06, p = 0.015).

conclusionsThese findings indicate that near-miss events are significantly associated with longer procedure times in paediatric laparoscopic fundoplication. The application of the GERT offers a robust framework for understanding these errors and holds potential for enhancing surgical training. Addressing and mitigating such events may contribute to optimising surgical efficiency and improving patient safety.

Indexed as

FundoplicationGastroesophageal RefluxLaparoscopyNear Miss, HealthcareChildChild, PreschoolFemaleHumansInfantMaleOperative TimeRetrospective StudiesVideo RecordingGeneric error rating toolLaparoscopic fundoplicationNear miss eventPaediatricsProcedure time

Identifiers

PMID41162995
PMCPMC12574280

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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.