Evidence map›Paper›PMID 42437508›Full record

ArticleJournal of surgical oncology2026

Open Conversion at Robotic Adrenalectomy: Rates and Predictors.

Andrea Marmiroli, Mattia Longoni, Quynh Chi Le, Fabian Falkenbach, Michele Nicolazzini, Calogero Catanzaro, Federico Polverino, Jordan A Goyal, Stefano Luzzago, Francesco Alessandro Mistretta and 11 more

Abstract read
In one paragraph

Article in Journal of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

Andrea MarmiroliCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Mattia LongoniCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Quynh Chi LeCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Fabian FalkenbachCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0003-1907-3982
Michele NicolazziniCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.ORCID https://orcid.org/0009-0003-7773-5101
Calogero CatanzaroCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.ORCID https://orcid.org/0009-0004-6265-5288
Federico PolverinoCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Jordan A GoyalCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.ORCID https://orcid.org/0009-0006-4609-8981
Stefano LuzzagoDepartment of Urology, IEO European Institute of Oncology, IRCCS, Via Ripamonti 435, Milan, Italy.
Francesco Alessandro MistrettaDepartment of Urology, IEO European Institute of Oncology, IRCCS, Via Ripamonti 435, Milan, Italy.
Mattia PiccinelliDepartment of Urology, IEO European Institute of Oncology, IRCCS, Via Ripamonti 435, Milan, Italy.
Fred SaadCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Shahrokh F ShariatDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Alberto BrigantiVita-Salute San Raffaele University, Milan, Italy.
Felix K H ChunGoethe University Frankfurt, University Hospital, Department of Urology, Frankfurt am Main, Germany.
Markus GraefenMartini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Carlotta PalumboDivision of Urology, Department of Translational Medicine, University of Eastern Piedmont, Maggiore della Carità Hospital, Novara, Italy.
Riccardo SchiavinaDivision of Urology, IRCCS Azienda Ospedaliero-universitaria di Bologna, Bologna, Italy.
Nicola LongoDepartment of Neurosciences, Science of Reproduction and Odontostomatology, University of Naples Federico II, Naples, Italy.
Gennaro MusiDepartment of Urology, IEO European Institute of Oncology, IRCCS, Via Ripamonti 435, Milan, Italy.
Pierre I KarakiewiczCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRates and predictors of open conversion at robotic adrenalectomy (rRA) are unknown.

methodsWe identified patients treated with rRA (National Inpatient Sample 2009-2019). First, temporal trends in open conversion were assessed using Estimated Annual Percentage Changes (EAPC). Second, multivariable logistic regression models were used to identify predictors of open conversion during rRA.

resultsOf 2,292 rRA patients, 286 (12.0%) underwent open conversion. The rates of open conversion decreased over time from 39.2% to 10.2% over the study span (EAPC -15.9%; p = 0.0003). Open conversion patients during rRA were more frequently male (59.0 vs. 53.0%; p = 0.04) and had more comorbidities (Charlson Comorbidity Index [CCI] ≥ 4: 28.0 vs. 17.0%; p < 0.001). In multivariable logistic regression models predicting open conversion, CCI ≥ 4 versus 0-3 (OR: 2.0; p < 0.001) and low versus medium-high surgical volume hospital (OR: 2.0; p < 0.001) were independent predictors. A dose-response effect was observed when CCI and hospital volume were combined. Specifically, the rates of open conversion were respectively 13.9 versus 25.9% in patient with CCI 0-3 versus CCI ≥ 4 at low surgical volume hospitals (p < 0.001). Conversely, the rates of open conversion were respectively 7.7 versus 13.4% in patient with CCI 0-3 versus CCI ≥ 4 at medium-high surgical volume hospitals (p < 0.001).

conclusionThe rate of open conversion at rRA significantly decreased over time from 39.2% to 10.2%. Individuals at particularly elevated risk consisted of patients with CCI ≥ 4 in whom rRA is contemplated at low-volume hospitals (25.9%). Relegation of such individuals to medium-high surgical volume hospitals may reduce the conversion rate by half (13.4%).

Indexed as

AdrenalectomyAdrenal Gland NeoplasmsConversion to Open SurgeryRobotic Surgical ProceduresAgedFemaleHumansMaleMiddle AgedRetrospective StudiesconversionNISradical adrenalectomyrobotic

Identifiers

PMID42437508
PMCPMC13427103

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.