Evidence map›Paper›PMID 34159097›Full record

ReviewTranslational andrology and urology2021

Diffusion and adoption of the surgical robot in urology.

Anup A Shah, Jathin Bandari, Daniel Pelzman, Benjamin J Davies, Bruce L Jacobs

Abstract readReview
In one paragraph

Review in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 5 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

28 citing papers in PubMed, 5 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

5 authors.

Anup A ShahDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Jathin BandariDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Daniel PelzmanDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Benjamin J DaviesDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Bruce L JacobsDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jessie Nedrow · 1988 to 2026
$158.0M
NCI NIH HHS P30 CA047904
6 · The paper itself

Abstract

Over the last two decades, robotic surgery has become a mainstay in hospital systems around the world. Leading this charge has been Intuitive Surgical Inc.'s da Vinci robotic system (Sunnyvale, CA, USA). Through its innovative technology and unique revenue model, Intuitive has installed 4,986 robotic surgical systems worldwide in the last two decades. The rapid rate of adoption and diffusion of the surgical robot has been propelled by many important industry-specific factors. In this review, we propose a model that explains the successful adoption of robotic surgery due to its three core groups: the surgeon, the hospital administrator, and the patient.

Indexed as

da Vinci robotintuitive surgicalrobotic prostatectomyRobotic surgerytechnology adoption

Identifiers

PMID34159097
PMCPMC8185660

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.