Evidence map›Paper›PMID 37474827›Full record

ArticleSurgical endoscopy2023

Proctored adoption of robotic hiatus hernia surgery: outcomes and learning curves in a high-volume UK centre.

Jennifer Straatman, Saqib A Rahman, Nicholas C Carter, Stuart J Mercer, Benjamin C Knight, Gijsbert I van Boxel, Philip H Pucher

Abstract read
In one paragraph

Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Jennifer StraatmanDepartment of Upper Gastrointestinal Surgery, Portsmouth Hospitals University NHS Trust, Portsmouth, UK. jennifer.straatman@porthosp.nhs.uk.ORCID http://orcid.org/0000-0003-2538-2482
Saqib A RahmanDepartment of Upper Gastrointestinal Surgery, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Nicholas C CarterDepartment of Upper Gastrointestinal Surgery, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Stuart J MercerDepartment of Upper Gastrointestinal Surgery, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Benjamin C KnightDepartment of Upper Gastrointestinal Surgery, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Gijsbert I van BoxelDepartment of Upper Gastrointestinal Surgery, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Philip H PucherDepartment of Upper Gastrointestinal Surgery, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adoption of new surgical technologies is inevitably accompanied by a learning curve. With the increasing adoption of robotic techniques in benign foregut surgery, it is imperative to define optimal learning pathways, to ensure a clinically safe introduction of such a technique. The aim of this study was to assess the learning curve for robotic hiatal hernia repair with a pre-defined adoption process and proctoring.

methodsThe learning curve was assessed in four surgeons in a high-volume tertiary referral centre, performing over a 100 hiatal hernia repairs annually. The robotic adoption process included simulation-based training and a multi-day wet lab-based course, followed by robotic operations proctored by robotic upper GI experts. CUSUM analysis was performed to assess changes in operating time in sequential cases.

resultsEach surgeon (A, B, C and D) performed between 22 and 32 cases, including a total of 109 patients. Overall, 40 cases were identified as 'complex' (36.7%), including 16 revisional cases (16/109, 14.7%). With CUSUM analysis inflection points for operating time were seen after 7 (surgeon B) to 15 cases (surgeon B).

conclusionThe learning curve for robotic laparoscopic fundoplication may be as little as 7-15 cases in the setting of a clearly organized learning pathway with proctoring. By integrating these organized learning pathways learning curves may be shortened, ensuring patient safety, preventing detrimental outcomes due to longer learning curves, and accelerating adoption and integration of novel surgical techniques.

Indexed as

Hernia, HiatalLaparoscopyRobotic Surgical ProceduresHumansLearning CurveOperative TimeRetrospective StudiesUnited KingdomHiatus herniaLearning curveProctoringRobotic surgery

Identifiers

PMID37474827
PMCPMC10520141

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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.