Evidence map›Paper›PMID 34945265›Full record

ArticleJournal of clinical medicine2021

Benchmarking PASADENA Consensus along the Learning Curve of Robotic Radical Cystectomy with Intracorporeal Neobladder: CUSUM Based Assessment.

Riccardo Lombardo, Riccardo Mastroianni, Gabriele Tuderti, Mariaconsiglia Ferriero, Aldo Brassetti, Umberto Anceschi, Salvatore Guaglianone, Cosimo De Nunzio, Antonio Cicione, Andrea Tubaro and 2 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

12 authors.

Riccardo LombardoOspedale Sant'Andrea, 'Sapienza' Universita di Roma, 00189 Rome, Italy.
Riccardo MastroianniDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, 00121 Rome, Italy.
Gabriele TudertiDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, 00121 Rome, Italy.
Mariaconsiglia FerrieroDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, 00121 Rome, Italy.
Aldo BrassettiDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, 00121 Rome, Italy.
Umberto AnceschiDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, 00121 Rome, Italy.
Salvatore GuaglianoneDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, 00121 Rome, Italy.
Cosimo De NunzioDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, 00121 Rome, Italy.ORCID 0000-0002-2190-512X
Antonio CicioneOspedale Sant'Andrea, 'Sapienza' Universita di Roma, 00189 Rome, Italy.
Andrea TubaroDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, 00121 Rome, Italy.
Michele GallucciDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, 00121 Rome, Italy.
Giuseppe SimoneDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, 00121 Rome, Italy.ORCID 0000-0002-4868-9025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Aim: Robot assisted radical cystectomy (RARC) with intacorporeal neobladder (iN) is a challenging procedure. There is a paucity of reports on RARC-iN, the extracorporeal approach being the most used. The aim of our study was to assess the learning curve of RARC-iN and to test its performance in benchmarking Pasadena consensus outcomes. (2) Material and methods: The single-institution learning curve of RARC-iN was retrospectively evaluated. Demographic, clinical and pathologic data of all patients were recorded. Indications to radical cystectomy included muscle invasive bladder cancer (pT ≥ 2) or recurrent high grade non muscle invasive bladder cancer. The cumulative sum (CUSUM) technique, one of the methods developed to monitor the performance and quality of the industrial sector, was adopted by the medical field in the 1970s to analyze learning curves for surgical procedures. The learning curve was evaluated using the following criteria: 1. operative time (OT) <5 h; 2. 24-h Hemoglobin (Hb) drop <2 g/dl; 3. severe complications (according to the Clavien classification system) <30%; 4. positive surgical margins <5%; and 5. complete lymph-node dissection defined as more than 16 nodes. Benchmarking of all five items on quintile analysis was tested, and a failure rate <20% for any outcome was set as threshold. (3) Results: the first 100 consecutive RARC-iN patients were included in the analysis. At CUSUM analysis, RARC required 20 cases to achieve a plateau in terms of operative time (defined as more than 3 consecutive procedures below 300 min). Hemoglobin drop, PSM and number of removed lymph-nodes did not change significantly along the learning curve. Overall, 41% of the patients presented at least one complication. Low-grade and high-grade complication rates were 30% and 17%, respectively. When assessing the benchmarks of all five Pasadena consensus outcomes on quintile analysis, a plateau was achieved after the first 60 cases. (4) Conclusions: RARC-iN is a challenging procedure. The potential impact of the learning curve on significant outcomes, such as high grade complications and positive surgical margins, has played a detrimental effect on its widespread adoption. According to this study, in tertiary referral centers, 60 procedures are sufficient to benchmark all outcomes defined in Pasadena RARC consensus.

Indexed as

bladder cancerCUSUMileal conduitneobladderurinary diversion

Identifiers

PMID34945265
PMCPMC8706610

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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.