Evidence map›Paper›PMID 37109104›Full record

ArticleJournal of clinical medicine2023

Robot-Assisted Epiretinal Membrane Peeling: A Prospective Assessment of Pre- and Intra-Operative Times and of Surgeons' Subjective Perceptions.

Ferhat Turgut, Gábor Márk Somfai, Florian M Heussen, Alexander Eberle, Marc D de Smet, Matthias D Becker

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Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline 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

6 authors.

Ferhat TurgutDepartment of Ophthalmology, Stadtspital Zurich, 8063 Zurich, Switzerland.ORCID 0000-0002-8118-1610
Gábor Márk SomfaiDepartment of Ophthalmology, Stadtspital Zurich, 8063 Zurich, Switzerland.ORCID 0000-0001-6329-442X
Florian M HeussenDepartment of Ophthalmology, Stadtspital Zurich, 8063 Zurich, Switzerland.
Alexander EberleDepartment of Ophthalmology, Stadtspital Zurich, 8063 Zurich, Switzerland.ORCID 0009-0001-8907-9418
Marc D de SmetHelvetia Retina Associates, 1005 Lausanne, Switzerland.ORCID 0000-0002-9217-5603
Matthias D BeckerDepartment of Ophthalmology, Stadtspital Zurich, 8063 Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Preceyes Surgical System (PSS) is a robotic assistive device that may enhance surgical precision. This study assessed pre- and intra-operative times and surgeons' perceptions of robot-assisted epiretinal membrane peeling (RA-MP).

methodsWe analyzed the time requirement of three main tasks: the preparation of the PSS (I), patient preparation (II), and surgery (III). Following surgery, the surgeons were asked questions about their experience.

resultsRA-MP was performed in nine eyes of nine patients. Task I required an average time of 12.3 min, initially taking 15 min but decreasing to 6 min in the last surgery. Task II showed a mean time of 47.2 (range of 36-65) min. Task III had a mean time of 72.4 (range of 57-100) min. A mean time of 27.9 (range of 9-46) min was necessary for RA-MP. The responses to the questionnaire revealed a trend towards increasing ease and reduced stress as familiarity with the PSS increased.

conclusionsA substantial reduction in pre- and intra-operative times, decreasing to a total of 115 min, was demonstrated. RA-MP was positively anticipated by the surgeons and led to no hand or arm strain while being more complex than manual MP.

Indexed as

epiretinal membranemembrane peelingoperative timesrobot-assisted membrane peelingrobotic surgerysurgeon satisfactionsurgical precisionvitreoretinal surgery

Identifiers

PMID37109104
PMCPMC10141075

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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.