Evidence map›Paper›PMID 38242979›Full record

ReviewNature medicine2024

The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring.

Hani J Marcus, Pedro T Ramirez, Danyal Z Khan, Hugo Layard Horsfall, John G Hanrahan, Simon C Williams, David J Beard, Rani Bhat, Ken Catchpole, Andrew Cook and 14 more

Erratum issuedAbstract readReview
In one paragraph

Review in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 96 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 10 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

96 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Hani J MarcusDepartment of Neurosurgery, National Hospital of Neurology and Neurosurgery, London, UK. h.marcus@ucl.ac.uk.ORCID 0000-0001-8000-392X
Pedro T RamirezDepartment of Obstetrics and Gynaecology, Houston Methodist Hospital Neal Cancer Center, Houston, TX, USA.
Danyal Z KhanDepartment of Neurosurgery, National Hospital of Neurology and Neurosurgery, London, UK.ORCID 0000-0001-9213-2550
Hugo Layard HorsfallDepartment of Neurosurgery, National Hospital of Neurology and Neurosurgery, London, UK.ORCID 0000-0001-7848-5325
John G HanrahanDepartment of Neurosurgery, National Hospital of Neurology and Neurosurgery, London, UK.
Simon C WilliamsDepartment of Neurosurgery, National Hospital of Neurology and Neurosurgery, London, UK.
David J BeardRCS Surgical Interventional Trials Unit (SITU) & Robotic and Digital Surgery Initiative (RADAR), Nuffield Dept Orthopaedics, Rheumatology and Musculo-skeletal Sciences, University of Oxford, Oxford, UK.ORCID 0000-0001-7884-6389
Rani BhatDepartment of Gynaecological Oncology, Apollo Hospital, Bengaluru, India.
Ken CatchpoleDepartment of Anaesthesia and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, USA.ORCID 0000-0003-4073-3025
Andrew CookNIHR Coordinating Centre and Clinical Trials Unit, University of Southampton, Southampton, UK.ORCID 0000-0002-6680-439X
Katrina HutchisonDepartment of Philosophy, Macquarie University, Sydney, Australia.ORCID 0000-0002-5817-7488
Janet MartinDepartment of Anesthesia & Perioperative Medicine, University of Western Ontario, Ontario, Canada.
Tom MelvinDepartment of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Republic of Ireland.ORCID 0000-0001-6370-4177
Danail StoyanovWellcome/Engineering and Physical Sciences Research Council (EPSRC) Centre for Interventional and Surgical Sciences (WEISS), London, UK.ORCID 0000-0002-0980-3227
Maroeska RoversDepartment of Medical Imaging, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0002-3095-170X
Nicholas RaisonDepartment of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0003-0496-4985
Prokar DasguptaKing's Health Partners Academic Surgery, King's College London, London, UK.
David NoonanMoon Surgical, Paris, France.
Deborah StockenRCSEng Surgical Trials Centre, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.
Georgia SturtBowel Research UK, London, UK.ORCID 0009-0008-3065-0481
Anne VanhoestenbergheSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-7244-5864
Baptiste VaseyDepartment of Surgery, Geneva University Hospital, Geneva, Switzerland.ORCID 0000-0002-0017-8891
Peter McCullochNuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, UK. peter.mcculloch@nds.ox.ac.uk.ORCID 0000-0002-3210-8273
IDEAL Robotics Colloquium

Funding

Improving the Delivery of Robotic SurgeryR03EB017447 · NIBIB · CEDARS-SINAI MEDICAL CENTER · PI ANGER, JENNIFER TASH, CATCHPOLE, KEN · 2014 to 2015
$167k
AHRQ HHS R01 HS026491Department of Education and Training | Australian Research Council (ARC) DE200101301Department of Education and Training | Australian Research Council (ARC) DP200100883NIBIB NIH HHS R03 EB017447RCUK | Engineering and Physical Sciences Research Council (EPSRC) NS/A000050/1U.S. Department of Health & Human Services | Agency for Healthcare Research and Quality (AHRQ) R01 HS26491-01Wellcome TrustWellcome Trust (Wellcome) 203145Z/16/Z
6 · The paper itself

Abstract

The next generation of surgical robotics is poised to disrupt healthcare systems worldwide, requiring new frameworks for evaluation. However, evaluation during a surgical robot's development is challenging due to their complex evolving nature, potential for wider system disruption and integration with complementary technologies like artificial intelligence. Comparative clinical studies require attention to intervention context, learning curves and standardized outcomes. Long-term monitoring needs to transition toward collaborative, transparent and inclusive consortiums for real-world data collection. Here, the Idea, Development, Exploration, Assessment and Long-term monitoring (IDEAL) Robotics Colloquium proposes recommendations for evaluation during development, comparative study and clinical monitoring of surgical robots-providing practical recommendations for developers, clinicians, patients and healthcare systems. Multiple perspectives are considered, including economics, surgical training, human factors, ethics, patient perspectives and sustainability. Further work is needed on standardized metrics, health economic assessment models and global applicability of recommendations.

Indexed as

Artificial IntelligenceRobotic Surgical ProceduresHumansRobotics

Identifiers

PMID38242979
PMCPMC13157720

What OpenQuestion holds

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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.