Evidence map›Paper›PMID 40928676›Full record

ArticleJournal of robotic surgery2025

What happens when the network fails? A response to telesurgery recommendations and a proposal for a new class of intraoperative complications in telesurgery.

Pietro Pasquini, Enrico Pazzaglia, Francesco Brucchi, Emily Jamaer, Mario De Angelis, Alexandre Mottrie

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Pietro Pasquini *Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy. pietro.pasquini@studio.unibo.it.ORCID http://orcid.org/0009-0002-1871-9833
Enrico Pazzaglia *Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.ORCID http://orcid.org/0009-0006-9046-3173
Francesco BrucchiORSI Academy, Melle, Belgium.ORCID http://orcid.org/0000-0003-3191-4369
Emily JamaerDepartment of Gynaecology and Obstetrics, AZORG Hospital, Aalst, Belgium.ORCID http://orcid.org/0000-0002-0392-5178
Mario De AngelisORSI Academy, Melle, Belgium.
Alexandre MottrieORSI Academy, Melle, Belgium.ORCID http://orcid.org/0000-0002-1253-1592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This Letter to the Editor responds to the recent publication by Patel et al. (J Robot Surg. Jul 11;19(1):370, 2025), which outlines a framework and recommendations for telesurgery. Their work identifies the most suitable network connections and the need for redundancy systems to reduce network failures, while also prompting further reflections on additional implications. In particular, it led us to consider the exclusive challenges of telesurgery, which we identified primarily in a new category of complications related to network connectivity, alongside the well-established clinical and technical complications of traditional and robotic surgery. This correspondence further emphasizes the ongoing transformation of surgery from a direct interaction between surgeon and patient to a coordinated team-based practice involving assistants, machines, and technical specialists. By addressing these emerging challenges, this commentary highlights the necessity of re-evaluating safety assumptions in telesurgical practice.

Indexed as

Intraoperative ComplicationsRobotic Surgical ProceduresTelemedicineHumansNetwork failureRobotic surgeryStandby surgeonTelesurgery

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.