Evidence map›Paper›PMID 34208988›Full record

ArticleJournal of personalized medicine2021

Robotic Colorectal Cancer Surgery. How to Reach Expertise? A Single Surgeon-Experience.

Michele Manigrasso, Sara Vertaldi, Pietro Anoldo, Anna D'Amore, Alessandra Marello, Carmen Sorrentino, Alessia Chini, Salvatore Aprea, Salvatore D'Angelo, Nicola D'Alesio and 4 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Minimally invasive colorectal surgery learning curve.World journal of gastrointestinal endoscopy · 2022
    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

14 authors.

Michele ManigrassoDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy.ORCID 0000-0001-8204-7942
Sara VertaldiDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy.
Pietro AnoldoDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy.ORCID 0000-0001-6727-2973
Anna D'AmoreDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy.
Alessandra MarelloDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy.
Carmen SorrentinoDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy.
Alessia ChiniDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy.
Salvatore Aprea"Federico II" University Hospital, Via Pansini 5, 80131 Naples, Italy.ORCID 0000-0002-3394-3246
Salvatore D'Angelo"Federico II" University Hospital, Via Pansini 5, 80131 Naples, Italy.
Nicola D'Alesio"Federico II" University Hospital, Via Pansini 5, 80131 Naples, Italy.
Mario MusellaDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy.
Antonio VitielloDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy.
Giovanni Domenico De PalmaDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy.
Marco MiloneDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity associated with laparoscopic colorectal surgery requires several skills to overcome the technical difficulties related to this procedure. To overcome the technical challenges of laparoscopic surgery, a robotic approach has been introduced. Our study reports the surgical outcomes obtained by the transition from laparoscopic to robotic approach in colorectal cancer surgery to establish in which type of approach the proficiency is easier to reach. Data about the first consecutive 15 laparoscopic and the first 15 consecutive robotic cases are extracted, adopting as a comparator of proficiency the last 15 laparoscopic colorectal resections for cancer. The variables studied are operative time, number of harvested nodes, conversion rate, postoperative complications, recovery outcomes. Our analysis includes 15 patients per group. Our results show that operative time is significantly longer in the first 15 laparoscopic cases (

Indexed as

colorectalcolorectal cancerlaparoscopiclearning curverobotic

Identifiers

PMID34208988
PMCPMC8307843

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.