Evidence map›Paper›PMID 29744221›Full record

ReviewJournal of thoracic disease2018

How to get the best from robotic thoracic surgery.

Sara Ricciardi, Carmelina Cristina Zirafa, Federico Davini, Franca Melfi

Abstract readReview
In one paragraph

Review in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Robot-assisted thoracoscopic surgery for large apical schwannoma in an obese patient.General thoracic and cardiovascular surgery cases · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Training in robotic thoracic surgery-the European way.Annals of cardiothoracic surgery · 2019
    Review
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

4 authors.

Sara RicciardiUnit of Thoracic Surgery, Robotic Multispeciality Center for Surgery, University Hospital of Pisa, Pisa, Italy.
Carmelina Cristina ZirafaUnit of Minimally Invasive and Robotic Thoracic Surgery, Robotic Multispeciality Center for Surgery, University Hospital of Pisa, Pisa, Italy.
Federico DaviniUnit of Minimally Invasive and Robotic Thoracic Surgery, Robotic Multispeciality Center for Surgery, University Hospital of Pisa, Pisa, Italy.
Franca MelfiUnit of Minimally Invasive and Robotic Thoracic Surgery, Robotic Multispeciality Center for Surgery, University Hospital of Pisa, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of Robotic technology in thoracic surgery has become widespread in the last decades. Thanks to its advanced features, the robotic system allows to perform a broad range of complex operations safely and in a comfortable way, with valuable advantages related to low invasiveness. Regarding lung tumours, several studies have shown the benefits of robotic surgery including lower blood loss and improved lymph node removal when compared with other minimally invasive techniques. Moreover, the robotic instruments allow to reach deep and narrow spaces permitting safe and precise removal of tumours located in remote areas, such as retrosternal and posterior mediastinal spaces with outstanding postoperative and oncological results. One controversial finding about the application of robotic system is its high capital and running costs. For this reason, a limited number of centres worldwide are able to employ this groundbreaking technology and there are limited possibilities for the trainees to acquire the necessary skills in robotic surgery. Therefore, a training programme based on three steps of learning, associated with a solid surgical background and a consistent operating activity, are required to obtain effective results. Putting this highest technological innovation in the hand of expert surgeons we can assure safe and effective procedures getting the best from robotic thoracic surgery.

Indexed as

lungmediastinumminimally invasivenon-small cell lung cancer (NSCLC)Robotic thoracic surgery

Identifiers

PMID29744221
PMCPMC5934117

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.