Evidence map›Paper›PMID 31532520›Full record

Trial reportJAMA network open2019

Effect of 3-Dimensional Virtual Reality Models for Surgical Planning of Robotic-Assisted Partial Nephrectomy on Surgical Outcomes: A Randomized Clinical Trial.

Joseph D Shirk, David D Thiel, Eric M Wallen, Jennifer M Linehan, Wesley M White, Ketan K Badani, James R Porter

7 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 7 registered trials, which are not on this map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing 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.

NCT03334344 nacompletednot on this map

Using Virtual Reality (VR) Models for Preoperative Planning

TypeinterventionalSponsorCeevra, Inc.Ran2017 to 2019Enrolled92ConditionsKidney Cancer, Renal Cell CarcinomaArmsCeevra Reveal
NCT03421418 no registry record found
NCT03534206 no registry record found
NCT03542565 no registry record found
NCT03556943 no registry record found
NCT03666104 no registry record found
NCT06903260 phase3completednot on this mapstarted 2022, after this paper: background citation

Robot-assisted Partial Nephrectomy With and Without Mixed Reality (REALITATEM Study)

TypeinterventionalSponsorHospital Moinhos de VentoRan2022 to 2024Enrolled45ConditionsKidney CancerArmsMixed Reality
3 · Its place in the literature

Who cites it

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

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  5. Robot-assisted Partial Nephrectomy with and without Mixed Reality - REALITATEM study.International braz j urol : official journal of the Brazilian Society of Urology
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8 more citing papers are in PubMed but not listed here.

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.

Joseph D ShirkDavid Geffen School of Medicine, Department of Urology, University of California, Los Angeles.
David D ThielDepartment of Urology, Mayo Clinic Florida, Jacksonville.
Eric M WallenChapel Hill School of Medicine, Department of Urology, University of North Carolina, Chapel Hill.
Jennifer M LinehanJohn Wayne Cancer Institute, Providence St John's Health Center, Santa Monica, California.
Wesley M WhiteDepartment of Urology, The University of Tennessee Medical Center, Knoxville.
Ketan K BadaniDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, New York.
James R PorterSwedish Urology Group, Seattle, Washington.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Planning complex operations such as robotic-assisted partial nephrectomy requires surgeons to review 2-dimensional computed tomography or magnetic resonance images to understand 3-dimensional (3-D), patient-specific anatomy. Objective: To determine surgical outcomes for robotic-assisted partial nephrectomy when surgeons reviewed 3-D virtual reality (VR) models during operative planning. Design, Setting, and Participants: A single-blind randomized clinical trial was performed. Ninety-two patients undergoing robotic-assisted partial nephrectomy performed by 1 of 11 surgeons at 6 large teaching hospitals were prospectively enrolled and randomized. Enrollment and data collection occurred from October 2017 through December 2018, and data analysis was performed from December 2018 through March 2019. Interventions: Patients were assigned to either a control group undergoing usual preoperative planning with computed tomography and/or magnetic resonance imaging only or an intervention group where imaging was supplemented with a 3-D VR model. This model was viewed on the surgeon's smartphone in regular 3-D format and in VR using a VR headset. Main Outcomes and Measures: The primary outcome measure was operative time. It was hypothesized that the operations performed using the 3-D VR models would have shorter operative time than those performed without the models. Secondary outcomes included clamp time, estimated blood loss, and length of hospital stay. Results: Ninety-two patients (58 men [63%]) with a mean (SD) age of 60.9 (11.6) years were analyzed. The analysis included 48 patients randomized to the control group and 44 randomized to the intervention group. When controlling for case complexity and other covariates, patients whose surgical planning involved 3-D VR models showed differences in operative time (odds ratio [OR], 1.00; 95% CI, 0.37-2.70; estimated OR, 2.47), estimated blood loss (OR, 1.98; 95% CI, 1.04-3.78; estimated OR, 4.56), clamp time (OR, 1.60; 95% CI, 0.79-3.23; estimated OR, 11.22), and length of hospital stay (OR, 2.86; 95% CI, 1.59-5.14; estimated OR, 5.43). Estimated ORs were calculated using the parameter estimates from the generalized estimating equation model. Referent group values for each covariate and the corresponding nephrometry score were summed across the covariates and nephrometry score, and the sum was exponentiated to obtain the OR. A mean of the estimated OR weighted by sample size for each nephrometry score strata was then calculated. Conclusions and Relevance: This large, randomized clinical trial demonstrated that patients whose surgical planning involved 3-D VR models had reduced operative time, estimated blood loss, clamp time, and length of hospital stay. Trial Registration: ClinicalTrials.gov identifiers (1 registration per site): NCT03334344, NCT03421418, NCT03534206, NCT03542565, NCT03556943, and NCT03666104.

Indexed as

Computer SimulationImaging, Three-DimensionalRobotic Surgical ProceduresBlood Loss, SurgicalFemaleGlomerular Filtration RateHumansLength of StayMaleMiddle AgedNephrectomyOperative TimeSingle-Blind MethodVirtual Reality

Identifiers

PMID31532520
PMCPMC6751754

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.