Evidence map›Paper›PMID 40282510›Full record

ReviewCancers2025

Learning Curves in Robotic Urological Oncological Surgery: Has Anything Changed During the Last Five Years?

Theodoros Tokas, Charalampos Mavridis, Athanasios Bouchalakis, Chrisoula Maria Nakou, Charalampos Mamoulakis

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. [First cohort: Robotic radical prostatectomy at the Mexican Institute for Social Security].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Observational
  5. Article
  6. Article
  7. Article
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.

Theodoros TokasDepartment of Urology, University General Hospital of Heraklion, University of Crete, Medical School, 71500 Heraklion, Greece.ORCID 0000-0003-0928-0507
Charalampos MavridisDepartment of Urology, University General Hospital of Heraklion, University of Crete, Medical School, 71500 Heraklion, Greece.ORCID 0000-0002-0480-7499
Athanasios BouchalakisDepartment of Urology, University General Hospital of Heraklion, University of Crete, Medical School, 71500 Heraklion, Greece.ORCID 0000-0002-6246-2492
Chrisoula Maria NakouDepartment of Urology, University General Hospital of Heraklion, University of Crete, Medical School, 71500 Heraklion, Greece.
Charalampos MamoulakisDepartment of Urology, University General Hospital of Heraklion, University of Crete, Medical School, 71500 Heraklion, Greece.ORCID 0000-0002-8662-1275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite numerous studies assessing LCs in urological surgical oncology, high-quality evidence and a fully structured curriculum are missing. We aimed to systematically search and review the available literature on the LCs of robot-assisted surgery in urological cancers.

methodsMedline was systematically searched up to December 2024 to retrieve studies following the Preferred Reporting Items reporting on LC in robot-assisted radical prostatectomy (RARP), robot-assisted radical cystectomy (RARC), robot-assisted radical and partial nephrectomy (RARN, RAPN), and robot-assisted radical nephroureterectomy (RANU). The results of the last five years were then compared to those of the previous years.

resultsIn total, 82 studies were identified, 47 of which were for prostatectomy, 9 of which were for the last 5 years. Eighteen studies referred to partial-nephrectomy, seven over the previous 5 years. Finally, 16 studies referred to radical cystectomy, 7 over the previous five years. For radical prostatectomy, LC was based on operative time (OT), estimated blood loss (EBL), length of hospital stays, complication rate, positive surgical margin (PSM), biochemical recurrence (BCR), continence, and potency with ranges of 100-400, 90-290, 200, 15-250, 50-300, 30-250, 200-500 and 200-300 cases, respectively. For partial nephrectomy, the LC was based on OT, EBL, length of hospital stay, complication rate, warm ischemia time (WIT), and trifecta, with unclear ranges for the first three categories and 20-50, 26-140, and 50-77 cases, respectively, for the rest. Finally, for radical cystectomy, the LC was based on OT, EBL, length of hospital stay, complication rate, PSM, and lymph node yield, with ranges 20-75, 88, 40-198, 16-100, no difference, and 30-50 cases, respectively. We could not identify any study assessing the LCs in RARN and RANU.

conclusionsRobot-assisted surgery does not have a standard definition of LC regardless of the type of operation, which causes heterogeneity between the studies. Nevertheless, LCs appear to be steep and continuous. Training curriculums are essential to optimize outcomes and prepare new surgeons.

Indexed as

learning curvesnephrectomynephroureterectomyradical cystectomyradical prostatectomyrobot-assisted surgery

Identifiers

PMID40282510
PMCPMC12026137

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.